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ORCIDQi Dou 0001
Person information
- affiliation: Chinese University of Hong Kong, China
- affiliation (former): Imperial College London, UK
Other persons with the same name
- Qi Dou 0002
![[0000-0003-3083-7568]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3083-7568")
— China University of Geosciences, School of Geography and Information Engineering, Wuhan, China
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2020 – today
- 2024
[j77]Chi-hin Mak, Yingqi Li, Kui Wang, Mengjie Wu, Justin Di-Lang Ho, Qi Dou, Kam-Yim Sze, Kaspar Althoefer, Ka-Wai Kwok:
Intelligent Shape Decoding of a Soft Optical Waveguide Sensor. Adv. Intell. Syst. 6(2) (2024)- [j76]Chi-hin Mak, Yingqi Li, Kui Wang, Mengjie Wu, Justin Di-Lang Ho, Qi Dou, Kam-Yim Sze, Kaspar Althoefer, Ka-Wai Kwok:
Intelligent Shape Decoding of a Soft Optical Waveguide Sensor. Adv. Intell. Syst. 6(2) (2024) - [j75]Yuehao Wang, Bingchen Gong, Yonghao Long, Siu Hin Fan, Qi Dou:
Efficient EndoNeRF reconstruction and its application for data-driven surgical simulation. Int. J. Comput. Assist. Radiol. Surg. 19(5): 821-829 (2024) - [j74]Carole H. Sudre, Kimberlin M. H. van Wijnen, Florian Dubost, Hieab Adams, David Atkinson, Frederik Barkhof, Mahlet A. Birhanu, Esther E. Bron, Robin Camarasa, Nish Chaturvedi, Yuan Chen, Zihao Chen, Shuai Chen, Qi Dou, Tavia E. Evans, Ivan Ezhov, Haojun Gao, Marta Gironés-Sangüesa, Juan Domingo Gispert, Beatriz Gomez Anson, Alun D. Hughes, Mohammad Arfan Ikram, Silvia Ingala, Hans Rolf Jäger, Florian Kofler, Hugo J. Kuijf, Denis Kutnar, Minho Lee, Bo Li, Luigi Lorenzini, Bjoern H. Menze, José Luis Molinuevo, Yiwei Pan, Élodie Puybareau, Rafael Rehwald, Ruisheng Su, Pengcheng Shi, Lorna Smith, Therese Tillin, Guillaume Tochon, Hélène Urien, Bas H. M. van der Velden, Isabelle F. van der Velpen, Benedikt Wiestler, Frank J. Wolters, Pinar Yilmaz, Marius de Groot, Meike W. Vernooij, Marleen de Bruijne:
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. Medical Image Anal. 91: 103029 (2024) - [j73]Shadi Albarqouni, Christian F. Baumgartner, Qi Dou, Ender Konukoglu, Bjoern H. Menze, Archana Venkataraman:
Editorial for the Special Issue on the 2022 Medical Imaging with Deep Learning Conference. Medical Image Anal. 98: 103308 (2024) - [j72]Shizhan Gong, Yuan Zhong, Wenao Ma, Jinpeng Li, Zhao Wang, Jingyang Zhang, Pheng-Ann Heng, Qi Dou:
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation. Medical Image Anal. 98: 103324 (2024) - [j71]Guang Yang, Brandon Edwards, Spyridon Bakas, Qi Dou, Daguang Xu, Xiaoxiao Li, Wanying Wang:
Federated learning as a catalyst for digital healthcare innovations. Patterns 5(7): 101026 (2024) - [j70]Bin Li, Yiang Lu, Wei Chen, Bo Lu, Fangxun Zhong, Qi Dou, Yun-Hui Liu:
GMM-Based Heuristic Decision Framework for Safe Automated Laparoscope Control. IEEE Robotics Autom. Lett. 9(2): 1969-1976 (2024) - [j69]Chengkun Li, Yuqi Tong, Yonghao Long, Weixin Si, David Chun Man Yeung, Jason Ying-Kuen Chan, Qi Dou:
Extended Reality With HMD-Assisted Guidance and Console 3D Overlay for Robotic Surgery Remote Mentoring. IEEE Robotics Autom. Lett. 9(10): 9135-9142 (2024) - [j68]Wenao Ma, Cheng Chen, Yuqi Gong, Nga Yan Chan, Meirui Jiang, Calvin Hoi-Kwan Mak, Jill M. Abrigo, Qi Dou:
Causal Effect Estimation on Imaging and Clinical Data for Treatment Decision Support of Aneurysmal Subarachnoid Hemorrhage. IEEE Trans. Medical Imaging 43(8): 2778-2789 (2024) - [j67]Kang Wang, Feiyang Zheng, Lan Cheng, Hong-Ning Dai, Qi Dou, Jing Qin:
Breast Cancer Classification From Digital Pathology Images via Connectivity-Aware Graph Transformer. IEEE Trans. Medical Imaging 43(8): 2854-2865 (2024) - [j66]Chen Yang, Kailing Wang, Yuehao Wang, Qi Dou, Xiaokang Yang, Wei Shen:
Efficient Deformable Tissue Reconstruction via Orthogonal Neural Plane. IEEE Trans. Medical Imaging 43(9): 3211-3223 (2024) - [j65]Jun Lyu, Guangyuan Li, Chengyan Wang, Qing Cai, Qi Dou, David Zhang, Jing Qin:
Multicontrast MRI Super-Resolution via Transformer-Empowered Multiscale Contextual Matching and Aggregation. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12004-12014 (2024) - [c122]Yang Yu, Danruo Deng, Furui Liu, Qi Dou, Yueming Jin, Guangyong Chen, Pheng-Ann Heng:
ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning. AAAI 2024: 16587-16595 - [c121]Shizhan Gong, Qi Dou, Farzan Farnia:
Structured Gradient-Based Interpretations via Norm-Regularized Adversarial Training. CVPR 2024: 11009-11018 - [c120]Bowen Tang, Zheng Wang, Yi Bin, Qi Dou, Yang Yang, Heng Tao Shen:
Ensemble Diversity Facilitates Adversarial Transferability. CVPR 2024: 24377-24386 - [c119]Jiaqi Xu, Mengyang Wu, Xiaohu You, Chi-Wing Fu, Qi Dou, Pheng-Ann Heng:
Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Models. ECCV (18) 2024: 147-164 - [c118]Yiyao Ma, Kai Chen, Hon-Sing Tong, Ruofeng Wei, Yui-Lun Ng, Ka-Wai Kwok, Qi Dou:
Shape-Guided Configuration-Aware Learning for Endoscopic-Image-Based Pose Estimation of Flexible Robotic Instruments. ECCV (22) 2024: 259-276 - [c117]Meirui Jiang, Anjie Le, Xiaoxiao Li, Qi Dou:
Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate. ICLR 2024 - [c116]Boshi An, Yiran Geng, Kai Chen, Xiaoqi Li, Qi Dou, Hao Dong:
RGBManip: Monocular Image-based Robotic Manipulation through Active Object Pose Estimation. ICRA 2024: 7748-7755 - [c115]Zhen Zhang, Anran Lin, Chun Wai Wong, Xiangyu Chu, Qi Dou, K. W. Samuel Au:
Interactive Navigation in Environments with Traversable Obstacles Using Large Language and Vision-Language Models. ICRA 2024: 7867-7873 - [c114]Yiang Lu, Bin Li, Wei Chen, Junyan Yan, Shing Shin Cheng, Jiangliu Wang, Jianshu Zhou, Qi Dou, Yun-Hui Liu:
Simultaneous Estimation of Shape and Force along Highly Deformable Surgical Manipulators Using Sparse FBG Measurement. ICRA 2024: 9866-9872 - [c113]Jiawei Fu, Yonghao Long, Kai Chen, Wang Wei, Qi Dou:
Multi-objective Cross-task Learning via Goal-conditioned GPT-based Decision Transformers for Surgical Robot Task Automation. ICRA 2024: 13362-13368 - [c112]Jiaxin Guo, Jiangliu Wang, Zhaoshuo Li, Tongyu Jia, Qi Dou, Yun-Hui Liu:
Ada-Tracker: Soft Tissue Tracking via Inter-Frame and Adaptive-template Matching. ICRA 2024: 15463-15470 - [c111]Shizhan Gong, Yuan Zhong, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill M. Abrigo, Qi Dou:
Segmentation of Tiny Intracranial Hemorrhage Via Learning-to-Rank Local Feature Enhancement. ISBI 2024: 1-5 - [c110]Xiaogen Zhon, Yiyou Sun, Min Deng, Winnie Chiu Wing Chu, Qi Dou:
Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration. MICCAI (1) 2024: 57-67 - [c109]Yizhe Zhang, Tao Zhou, Qiang Chen, Qi Dou, Shuo Wang:
Holistic Consistency for Subject-Level Segmentation Quality Assessment in Medical Image Segmentation. UNSURE@MICCAI 2024: 92-102 - [c108]Shuojue Yang, Qian Li, Daiyun Shen, Bingchen Gong, Qi Dou, Yueming Jin:
Deform3DGS: Flexible Deformation for Fast Surgical Scene Reconstruction with Gaussian Splatting. MICCAI (6) 2024: 132-142 - [c107]Kailing Wang, Chen Yang, Yuehao Wang, Sikuang Li, Yan Wang, Qi Dou, Xiaokang Yang, Wei Shen:
EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries Using Gaussian Splatting. MICCAI (6) 2024: 219-229 - [c106]Ruofeng Wei, Bin Li, Kai Chen, Yiyao Ma, Yunhui Liu, Qi Dou:
Enhanced Scale-Aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling. MICCAI (6) 2024: 263-273 - [c105]Yuexuan Xia, Benteng Ma, Qi Dou, Yong Xia:
Enhancing Federated Learning Performance Fairness via Collaboration Graph-Based Reinforcement Learning. MICCAI (10) 2024: 263-272 - [c104]Tiantian Zhang, Manxi Lin, Hongda Guo, Xiaofan Zhang, Ka Fung Peter Chiu, Aasa Feragen, Qi Dou:
Incorporating Clinical Guidelines Through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring. MICCAI (5) 2024: 360-370 - [c103]Jianxun Yu, Qixin Hu, Meirui Jiang, Yaning Wang, Chin Ting Wong, Jing Wang, Huimao Zhang, Qi Dou:
Language-Enhanced Local-Global Aggregation Network for Multi-organ Trauma Detection. MICCAI (5) 2024: 393-403 - [c102]Yuan Zhong, Chenhui Tang, Yumeng Yang, Ruoxi Qi, Kang Zhou, Yuqi Gong, Pheng-Ann Heng, Janet H. Hsiao, Qi Dou:
Weakly-Supervised Medical Image Segmentation with Gaze Annotations. MICCAI (3) 2024: 530-540 - [c101]Zhao Wang, Aoxue Li, Zhenguo Li, Qi Dou:
Efficient Transferability Assessment for Selection of Pre-trained Detectors. WACV 2024: 1668-1678 - [e24]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15001, Springer 2024, ISBN 978-3-031-72377-3 [contents] - [e23]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15002, Springer 2024, ISBN 978-3-031-72068-0 [contents] - [e22]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15003, Springer 2024, ISBN 978-3-031-72383-4 [contents] - [e21]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15004, Springer 2024, ISBN 978-3-031-72082-6 [contents] - [e20]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part V. Lecture Notes in Computer Science 15005, Springer 2024, ISBN 978-3-031-72085-7 [contents] - [e19]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 15006, Springer 2024, ISBN 978-3-031-72088-8 [contents] - [e18]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 15007, Springer 2024, ISBN 978-3-031-72103-8 [contents] - [e17]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science 15008, Springer 2024, ISBN 978-3-031-72110-6 [contents] - [e16]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part IX. Lecture Notes in Computer Science 15009, Springer 2024, ISBN 978-3-031-72113-7 [contents] - [e15]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part X. Lecture Notes in Computer Science 15010, Springer 2024, ISBN 978-3-031-72116-8 [contents] - [e14]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part XI. Lecture Notes in Computer Science 15011, Springer 2024, ISBN 978-3-031-72119-9 [contents] - [e13]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part XII. Lecture Notes in Computer Science 15012, Springer 2024, ISBN 978-3-031-72389-6 [contents] - [i141]Chuan Wen, Xingyu Lin, John So, Kai Chen, Qi Dou, Yang Gao, Pieter Abbeel:
Any-point Trajectory Modeling for Policy Learning. CoRR abs/2401.00025 (2024) - [i140]Zhao Wang, Aoxue Li, Enze Xie, Lingting Zhu, Yong Guo, Qi Dou, Zhenguo Li:
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects. CoRR abs/2401.09962 (2024) - [i139]Zhenya Yang, Yonghao Long, Kai Chen, Wang Wei, Qi Dou:
Efficient Physically-based Simulation of Soft Bodies in Embodied Environment for Surgical Robot. CoRR abs/2402.01181 (2024) - [i138]Xiaosong Wang, Xiaofan Zhang, Guotai Wang, Junjun He, Zhongyu Li, Wentao Zhu, Yi Guo, Qi Dou, Xiaoxiao Li, Dequan Wang, Liang Hong, Qicheng Lao, Tong Ruan, Yukun Zhou, Yixue Li, Jie Zhao, Kang Li, Xin Sun, Lifeng Zhu, Shaoting Zhang:
OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine. CoRR abs/2402.18028 (2024) - [i137]Jiaxin Guo, Jiangliu Wang, Zhaoshuo Li, Tongyu Jia, Qi Dou, Yun-Hui Liu:
Ada-Tracker: Soft Tissue Tracking via Inter-Frame and Adaptive-Template Matching. CoRR abs/2403.06479 (2024) - [i136]Zhao Wang, Aoxue Li, Zhenguo Li, Qi Dou:
Efficient Transferability Assessment for Selection of Pre-trained Detectors. CoRR abs/2403.09432 (2024) - [i135]Zhao Wang, Aoxue Li, Fengwei Zhou, Zhenguo Li, Qi Dou:
Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization. CoRR abs/2403.09433 (2024) - [i134]Kailing Wang, Chen Yang, Yuehao Wang, Sikuang Li, Yan Wang, Qi Dou, Xiaokang Yang, Wei Shen:
EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting. CoRR abs/2403.15124 (2024) - [i133]Shizhan Gong, Qi Dou, Farzan Farnia:
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training. CoRR abs/2404.04647 (2024) - [i132]Qiao Deng, Zhongzhen Huang, Yunqi Wang, Zhichuan Wang, Zhao Wang, Xiaofan Zhang, Qi Dou, Yeung Yu Hui, Edward S. Hui:
Grounded Knowledge-Enhanced Medical VLP for Chest X-Ray. CoRR abs/2404.14750 (2024) - [i131]Yiang Lu, Bin Li, Wei Chen, Junyan Yan, Shing Shin Cheng, Jiangliu Wang, Jianshu Zhou, Qi Dou, Yunhui Liu:
Simultaneous Estimation of Shape and Force along Highly Deformable Surgical Manipulators Using Sparse FBG Measurement. CoRR abs/2404.16952 (2024) - [i130]Zhenya Yang, Kai Chen, Yonghao Long, Qi Dou:
Efficient Data-driven Scene Simulation using Robotic Surgery Videos via Physics-embedded 3D Gaussians. CoRR abs/2405.00956 (2024) - [i129]Tiantian Zhang, Manxi Lin, Hongda Guo, Xiaofan Zhang, Ka Fung Peter Chiu, Aasa Feragen, Qi Dou:
Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring. CoRR abs/2405.08786 (2024) - [i128]Shuojue Yang, Qian Li, Daiyun Shen, Bingchen Gong, Qi Dou, Yueming Jin:
Deform3DGS: Flexible Deformation for Fast Surgical Scene Reconstruction with Gaussian Splatting. CoRR abs/2405.17835 (2024) - [i127]Jiawei Fu, Yonghao Long, Kai Chen, Wang Wei, Qi Dou:
Multi-objective Cross-task Learning via Goal-conditioned GPT-based Decision Transformers for Surgical Robot Task Automation. CoRR abs/2405.18757 (2024) - [i126]Tianyu Huang, Tao Zhou, Weidi Xie, Shuo Wang, Qi Dou, Yizhe Zhang:
Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation. CoRR abs/2406.00956 (2024) - [i125]Yuan Wang, Zhao Wang, Junhao Gong, Di Huang, Tong He, Wanli Ouyang, Jile Jiao, Xuetao Feng, Qi Dou, Shixiang Tang, Dan Xu:
Holistic-Motion2D: Scalable Whole-body Human Motion Generation in 2D Space. CoRR abs/2406.11253 (2024) - [i124]Ruinan Jin, Zikang Xu, Yuan Zhong, Qiongsong Yao, Qi Dou, S. Kevin Zhou, Xiaoxiao Li:
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models. CoRR abs/2407.00983 (2024) - [i123]Yuan Zhong, Chenhui Tang, Yumeng Yang, Ruoxi Qi, Kang Zhou, Yuqi Gong, Pheng-Ann Heng, Janet H. Hsiao, Qi Dou:
Weakly-supervised Medical Image Segmentation with Gaze Annotations. CoRR abs/2407.07406 (2024) - [i122]Hao Ding, Tuxun Lu, Yuqian Zhang, Ruixing Liang, Hongchao Shu, Lalithkumar Seenivasan, Yonghao Long, Qi Dou, Cong Gao, Mathias Unberath:
SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions - An EndoVis'24 Challenge. CoRR abs/2407.11906 (2024) - [i121]Congzhen Shi, Ryan Rezai, Jiaxi Yang, Qi Dou, Xiaoxiao Li:
A Survey on Trustworthiness in Foundation Models for Medical Image Analysis. CoRR abs/2407.15851 (2024) - [i120]Zheng Han, Qi Dou:
A Review on Organ Deformation Modeling Approaches for Reliable Surgical Navigation using Augmented Reality. CoRR abs/2408.02713 (2024) - [i119]Ruofeng Wei, Bin Li, Kai Chen, Yiyao Ma, Yun-Hui Liu, Qi Dou:
Enhanced Scale-aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling. CoRR abs/2408.07266 (2024) - [i118]Xiaogen Zhon, Yiyou Sun, Min Deng, Winnie Chiu Wing Chu, Qi Dou:
Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration. CoRR abs/2408.07341 (2024) - [i117]Jiaqi Xu, Mengyang Wu, Xiaowei Hu, Chi-Wing Fu, Qi Dou, Pheng-Ann Heng:
Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Models. CoRR abs/2409.02101 (2024) - [i116]Jiaxin Guo, Jiangliu Wang, Ruofeng Wei, Di Kang, Qi Dou, Yun-hui Liu:
UC-NeRF: Uncertainty-aware Conditional Neural Radiance Fields from Endoscopic Sparse Views. CoRR abs/2409.02917 (2024) - 2023
- [j64]Jing Dai, Xiaomei Wang, Yingqi Li, Zhiyu Liu, Yui-Lun Ng, Jiaren Xiao, Joe King Man Fan, James Lam, Qi Dou, Varut Vardhanabhuti, Ka-Wai Kwok:
Automatic Multiparametric Magnetic Resonance Imaging-Based Prostate Lesions Assessment with Unsupervised Domain Adaptation. Adv. Intell. Syst. 5(9) (2023) - [j63]Jing Dai, Xiaomei Wang, Yingqi Li, Zhiyu Liu, Yui-Lun Ng, Jiaren Xiao, Joe King Man Fan, James Lam, Qi Dou, Varut Vardhanabhuti, Ka-Wai Kwok:
Automatic Multiparametric Magnetic Resonance Imaging-Based Prostate Lesions Assessment with Unsupervised Domain Adaptation. Adv. Intell. Syst. 5(9) (2023) - [j62]Toby Collins, Qi Dou, Mathias Unberath:
IJCARS-IPCAI 2023 special issue: conference information processing for computer-assisted interventions, 14th International Conference 2023 - part 1. Int. J. Comput. Assist. Radiol. Surg. 18(6): 969-970 (2023) - [j61]Yonghao Long, Chengkun Li, Qi Dou:
Robotic surgery remote mentoring via AR with 3D scene streaming and hand interaction. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(4): 1027-1032 (2023) - [j60]Arnaud Huaulmé, Kanako Harada, Quang-Minh Nguyen, Bogyu Park, Seungbum Hong, Min-Kook Choi, Michael Peven, Yunshuang Li, Yonghao Long, Qi Dou, Satyadwyoom Kumar, Seenivasan Lalithkumar, Hongliang Ren, Hiroki Matsuzaki, Yuto Ishikawa, Yuriko Harai, Satoshi Kondo, Manoru Mitsuishi, Pierre Jannin:
PEg TRAnsfer Workflow recognition challenge report: Do multimodal data improve recognition? Comput. Methods Programs Biomed. 236: 107561 (2023) - [j59]Jun Lyu, Bin Sui, Chengyan Wang, Qi Dou, Jing Qin:
Adaptive feature aggregation based multi-task learning for uncertainty-guided semi-supervised medical image segmentation. Expert Syst. Appl. 232: 120836 (2023) - [j58]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023) - [j57]Jun Lyu, Guangyuan Li, Chengyan Wang, Chen Qin, Shuo Wang, Qi Dou, Jing Qin:
Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction. Medical Image Anal. 85: 102760 (2023) - [j56]Martin Wagner, Beat P. Müller-Stich, Anna Kisilenko, Duc Tran, Patrick Heger, Lars Mündermann, David M. Lubotsky, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Annika Reinke, Carissa Reid, Tong Yu, Armine Vardazaryan, Chinedu Innocent Nwoye, Nicolas Padoy, Xinyang Liu, Eung-Joo Lee, Constantin Disch, Hans Meine, Tong Xia, Fucang Jia, Satoshi Kondo, Wolfgang Reiter, Yueming Jin, Yonghao Long, Meirui Jiang, Qi Dou, Pheng-Ann Heng, Isabell Twick, Kadir Kirtaç, Enes Hosgor, Jon Lindström Bolmgren, Michael Stenzel, Björn von Siemens, Long Zhao, Zhenxiao Ge, Haiming Sun, Di Xie, Mengqi Guo, Daochang Liu, Hannes Götz Kenngott, Felix Nickel, Moritz von Frankenberg, Franziska Mathis-Ullrich, Annette Kopp-Schneider, Lena Maier-Hein, Stefanie Speidel, Sebastian Bodenstedt:
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark. Medical Image Anal. 86: 102770 (2023) - [j55]Yuhan Zhang, Luyang Luo, Qi Dou, Pheng-Ann Heng:
Triplet attention and dual-pool contrastive learning for clinic-driven multi-label medical image classification. Medical Image Anal. 86: 102772 (2023) - [j54]Yonghao Long, Wang Wei, Tao Huang, Yuehao Wang, Qi Dou:
Human-in-the-Loop Embodied Intelligence With Interactive Simulation Environment for Surgical Robot Learning. IEEE Robotics Autom. Lett. 8(8): 4441-4448 (2023) - [j53]Ruofeng Wei, Bin Li, Hangjie Mo, Bo Lu, Yonghao Long, Bohan Yang, Qi Dou, Yunhui Liu, Dong Sun:
Stereo Dense Scene Reconstruction and Accurate Localization for Learning-Based Navigation of Laparoscope in Minimally Invasive Surgery. IEEE Trans. Biomed. Eng. 70(2): 488-500 (2023) - [j52]Meirui Jiang, Hongzheng Yang, Cheng Chen, Qi Dou:
IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation. IEEE Trans. Medical Imaging 42(7): 2106-2117 (2023) - [j51]Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker:
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation. IEEE Trans. Medical Imaging 42(11): 3323-3335 (2023) - [j50]Jiaren Xiao, Quanyu Dai, Xiaochen Xie, Qi Dou, Ka-Wai Kwok, James Lam:
Domain Adaptive Graph Infomax via Conditional Adversarial Networks. IEEE Trans. Netw. Sci. Eng. 10(1): 35-52 (2023) - [c100]Zhao Wang, Aoxue Li, Fengwei Zhou, Zhenguo Li, Qi Dou:
Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization. BMVC 2023: 93 - [c99]Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu:
Fair Federated Medical Image Segmentation via Client Contribution Estimation. CVPR 2023: 16302-16311 - [c98]Jiaqi Xu, Xiaowei Hu, Lei Zhu, Qi Dou, Jifeng Dai, Yu Qiao, Pheng-Ann Heng:
Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior. CVPR 2023: 18053-18062 - [c97]Jun Zhou, Kai Chen, Linlin Xu, Qi Dou, Jing Qin:
Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation. ICCV 2023: 13921-13931 - [c96]Yiang Lu, Ruofeng Wei, Bin Li, Wei Chen, Jianshu Zhou, Qi Dou, Dong Sun, Yun-Hui Liu:
Autonomous Intelligent Navigation for Flexible Endoscopy Using Monocular Depth Guidance and 3-D Shape Planning. ICRA 2023: 1-7 - [c95]Hanwen Cao, Jianshu Zhou, Junda Huang, Yichuan Li, Ng Cheng Meng, Rui Cao, Qi Dou, Yunhui Liu:
Two-Stage Grasping: A New Bin Picking Framework for Small Objects. ICRA 2023: 2584-2590 - [c94]Kai Chen, Stephen James, Congying Sui, Yun-Hui Liu, Pieter Abbeel, Qi Dou:
StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS. ICRA 2023: 2855-2861 - [c93]Tao Huang, Kai Chen, Bin Li, Yun-Hui Liu, Qi Dou:
Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot. ICRA 2023: 4640-4647 - [c92]Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill M. Abrigo, Qi Dou:
Diffusion Model Based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification. IPMI 2023: 69-81 - [c91]Wenlong Deng, Yuan Zhong, Qi Dou, Xiaoxiao Li:
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations. IPMI 2023: 158-169 - [c90]Jiaqi Liu, Yonghao Long, Kai Chen, Cheuk Hei Leung, Zerui Wang, Qi Dou:
Visual-Kinematics Graph Learning for Procedure-Agnostic Instrument Tip Segmentation in Robotic Surgeries. IROS 2023: 4633-4639 - [c89]Hongbin Lin, Bin Li, Xiangyu Chu, Qi Dou, Yunhui Liu, Kwok Wai Samuel Au:
End-to-End Learning of Deep Visuomotor Policy for Needle Picking. IROS 2023: 8487-8494 - [c88]Tao Huang, Kai Chen, Wang Wei, Jianan Li, Yonghao Long, Qi Dou:
Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot. IROS 2023: 8495-8501 - [c87]Zhao Wang, Chang Liu, Shaoting Zhang, Qi Dou:
Foundation Model for Endoscopy Video Analysis via Large-Scale Self-supervised Pre-train. MICCAI (9) 2023: 101-111 - [c86]Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng:
Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk. MICCAI (6) 2023: 306-316 - [c85]Minghui Chen, Meirui Jiang, Qi Dou, Zehua Wang, Xiaoxiao Li:
FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation. MICCAI (2) 2023: 318-328 - [c84]Yuhao Du, Yuncheng Jiang, Shuangyi Tan, Xusheng Wu, Qi Dou, Zhen Li, Guanbin Li, Xiang Wan:
ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models. MICCAI (2) 2023: 339-349 - [c83]Jianan Li, Yueming Jin, Yueyao Chen, Hon-Chi Yip, Markus Scheppach, Philip Wai Yan Chiu, Yeung Yam, Helen Mei-Ling Meng, Qi Dou:
Imitation Learning from Expert Video Data for Dissection Trajectory Prediction in Endoscopic Surgical Procedure. MICCAI (9) 2023: 494-504 - [c82]Meirui Jiang, Yuan Zhong, Anjie Le, Xiaoxiao Li, Qi Dou:
Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging. MICCAI (2) 2023: 500-510 - [c81]Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng:
Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images. MICCAI (5) 2023: 579-589 - [c80]Wenao Ma, Cheng Chen, Jill M. Abrigo, Calvin Hoi-Kwan Mak, Yuqi Gong, Nga Yan Chan, Chu Han, Zaiyi Liu, Qi Dou:
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data. MICCAI (5) 2023: 715-725 - [c79]Bingchen Gong, Yuehao Wang, Xiaoguang Han, Qi Dou:
RecolorNeRF: Layer Decomposed Radiance Fields for Efficient Color Editing of 3D Scenes. ACM Multimedia 2023: 8004-8015 - [c78]Hongzheng Yang, Cheng Chen, Yueyao Chen, Markus Scheppach, Hon-Chi Yip, Qi Dou:
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization. NeurIPS 2023 - [c77]Bingchen Gong, Yuehao Wang, Xiaoguang Han, Qi Dou:
SeamlessNeRF: Stitching Part NeRFs with Gradient Propagation. SIGGRAPH Asia 2023: 33:1-33:10 - [c76]Junming Chen, Meirui Jiang, Qi Dou, Qifeng Chen:
Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer. WACV 2023: 361-370 - [i115]Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill M. Abrigo, Qi Dou:
Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification. CoRR abs/2301.00409 (2023) - [i114]Yonghao Long, Wang Wei, Tao Huang, Yuehao Wang, Qi Dou:
Human-in-the-loop Embodied Intelligence with Interactive Simulation Environment for Surgical Robot Learning. CoRR abs/2301.00452 (2023) - [i113]Wenlong Deng, Yuan Zhong, Qi Dou, Xiaoxiao Li:
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations. CoRR abs/2301.01481 (2023) - [i112]Bingchen Gong, Yuehao Wang, Xiaoguang Han, Qi Dou:
RecolorNeRF: Layer Decomposed Radiance Field for Efficient Color Editing of 3D Scenes. CoRR abs/2301.07958 (2023) - [i111]Tao Huang, Kai Chen, Bin Li, Yun-Hui Liu, Qi Dou:
Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot. CoRR abs/2302.09772 (2023) - [i110]Tianpeng Deng, Yanqi Huang, Zhenwei Shi, Jiatai Lin, Qi Dou, Ke Zhao, Fang-Fang Liu, Yu-Mian Jia, Jin Wang, Bingchao Zhao, Changhong Liang, Zaiyi Liu, Xiao-jing Guo, Guoqiang Han, Xin Chen, Chu Han:
FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification. CoRR abs/2302.12662 (2023) - [i109]Yiang Lu, Ruofeng Wei, Bin Li, Wei Chen, Jianshu Zhou, Qi Dou, Dong Sun, Yunhui Liu:
Autonomous Intelligent Navigation for Flexible Endoscopy Using Monocular Depth Guidance and 3-D Shape Planning. CoRR abs/2302.13219 (2023) - [i108]Hanwen Cao, Jianshu Zhou, Junda Huang, Yichuan Li, Ng Cheng Meng, Rui Cao, Qi Dou, Yunhui Liu:
Two-Stage Grasping: A New Bin Picking Framework for Small Objects. CoRR abs/2303.02604 (2023) - [i107]Hongbin Lin, Bin Li, Xiangyu Chu, Qi Dou, Yunhui Liu, Kwok Wai Samuel Au:
End-to-End Deep Visual Control for Mastering Needle-Picking Skills With World Models and Behavior Cloning. CoRR abs/2303.03675 (2023) - [i106]Jiaqi Xu, Xiaowei Hu, Lei Zhu, Qi Dou, Jifeng Dai, Yu Qiao, Pheng-Ann Heng:
Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior. CoRR abs/2303.09757 (2023) - [i105]Yang Yu, Danruo Deng, Furui Liu, Yueming Jin, Qi Dou, Guangyong Chen, Pheng-Ann Heng:
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning. CoRR abs/2303.12091 (2023) - [i104]Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu:
Fair Federated Medical Image Segmentation via Client Contribution Estimation. CoRR abs/2303.16520 (2023) - [i103]Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker:
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation. CoRR abs/2305.19084 (2023) - [i102]Shizhan Gong, Yuan Zhong, Wenao Ma, Jinpeng Li, Zhao Wang, Jingyang Zhang, Pheng-Ann Heng, Qi Dou:
3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation. CoRR abs/2306.13465 (2023) - [i101]Zhao Wang, Chang Liu, Shaoting Zhang, Qi Dou:
Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train. CoRR abs/2306.16741 (2023) - [i100]Minghui Chen, Meirui Jiang, Qi Dou, Zehua Wang, Xiaoxiao Li:
FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation. CoRR abs/2307.10507 (2023) - [i99]Meirui Jiang, Yuan Zhong, Anjie Le, Xiaoxiao Li, Qi Dou:
Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging. CoRR abs/2307.12542 (2023) - [i98]Wenao Ma, Cheng Chen, Jill M. Abrigo, Calvin Hoi-Kwan Mak, Yuqi Gong, Nga Yan Chan, Chu Han, Zaiyi Liu, Qi Dou:
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data. CoRR abs/2307.12858 (2023) - [i97]Tao Huang, Kai Chen, Wang Wei, Jianan Li, Yonghao Long, Qi Dou:
Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot. CoRR abs/2307.16503 (2023) - [i96]Jun Zhou, Kai Chen, Linlin Xu, Qi Dou, Jing Qin:
Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation. CoRR abs/2308.05438 (2023) - [i95]Jiaqi Liu, Yonghao Long, Kai Chen, Cheuk Hei Leung, Zerui Wang, Qi Dou:
Visual-Kinematics Graph Learning for Procedure-agnostic Instrument Tip Segmentation in Robotic Surgeries. CoRR abs/2309.00957 (2023) - [i94]Yuhao Du, Yuncheng Jiang, Shuangyi Tan, Xusheng Wu, Qi Dou, Zhen Li, Guanbin Li, Xiang Wan:
ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models. CoRR abs/2309.01111 (2023) - [i93]Boshi An, Yiran Geng, Kai Chen, Xiaoqi Li, Qi Dou, Hao Dong:
RGBManip: Monocular Image-based Robotic Manipulation through Active Object Pose Estimation. CoRR abs/2310.03478 (2023) - [i92]Zhen Zhang, Anran Lin, Chun Wai Wong, Xiangyu Chu, Qi Dou, K. W. Samuel Au:
Interactive Navigation in Environments with Traversable Obstacles Using Large Language and Vision-Language Models. CoRR abs/2310.08873 (2023) - [i91]Hongzheng Yang, Cheng Chen, Yueyao Chen, Markus Scheppach, Hon-Chi Yip, Qi Dou:
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization. CoRR abs/2311.02719 (2023) - [i90]Bingchen Gong, Yuehao Wang, Xiaoguang Han, Qi Dou:
SeamlessNeRF: Stitching Part NeRFs with Gradient Propagation. CoRR abs/2311.16127 (2023) - [i89]Yizhe Zhang, Shuo Wang, Tao Zhou, Qi Dou, Danny Z. Chen:
SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model. CoRR abs/2312.09899 (2023) - [i88]Chen Yang, Kailing Wang, Yuehao Wang, Qi Dou, Xiaokang Yang, Wei Shen:
Efficient Deformable Tissue Reconstruction via Orthogonal Neural Plane. CoRR abs/2312.15253 (2023) - 2022
- [j49]Yueming Jin, Yonghao Long, Xiaojie Gao, Danail Stoyanov, Qi Dou, Pheng-Ann Heng:
Trans-SVNet: hybrid embedding aggregation Transformer for surgical workflow analysis. Int. J. Comput. Assist. Radiol. Surg. 17(12): 2193-2202 (2022) - [j48]Cristian A. Linte, Elvis C. S. Chen, Qi Dou, Simon Drouin, Marta Kersten-Oertel, A. Jonathan McLeod, Duygu Sarikaya, Ziv Yaniv:
Special issue on 2021 augmented environments for computer-assisted interventions (AE-CAI): guest editors' foreword. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 10(3): 241-242 (2022) - [j47]Ziyi Wang, Bo Lu, Xiaojie Gao, Yueming Jin, Zerui Wang, Tak Hong Cheung, Pheng-Ann Heng, Qi Dou, Yunhui Liu:
Unsupervised feature disentanglement for video retrieval in minimally invasive surgery. Medical Image Anal. 75: 102296 (2022) - [j46]Lidong Yang, Jialin Jiang, Xiaojie Gao, Qinglong Wang, Qi Dou, Li Zhang:
Autonomous environment-adaptive microrobot swarm navigation enabled by deep learning-based real-time distribution planning. Nat. Mach. Intell. 4(5): 480-493 (2022) - [j45]Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng:
Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine 5 (2022) - [j44]Xianzhi Li, Rui Cao, Yidan Feng, Kai Chen, Biqi Yang, Chi-Wing Fu, Yichuan Li, Qi Dou, Yun-Hui Liu, Pheng-Ann Heng:
A Sim-to-Real Object Recognition and Localization Framework for Industrial Robotic Bin Picking. IEEE Robotics Autom. Lett. 7(2): 3961-3968 (2022) - [j43]Bin Li, Bo Lu, Ziyi Wang, Fangxun Zhong, Qi Dou, Yun-Hui Liu:
Learning Laparoscope Actions via Video Features for Proactive Robotic Field-of-View Control. IEEE Robotics Autom. Lett. 7(3): 6653-6660 (2022) - [j42]Bo Lu, Bin Li, Wei Chen, Yueming Jin, Zixu Zhao, Qi Dou, Pheng-Ann Heng, Yunhui Liu:
Toward Image-Guided Automated Suture Grasping Under Complex Environments: A Learning-Enabled and Optimization-Based Holistic Framework. IEEE Trans Autom. Sci. Eng. 19(4): 3794-3808 (2022) - [j41]Cheng Chen, Qi Dou, Yueming Jin, Quande Liu, Pheng-Ann Heng:
Learning With Privileged Multimodal Knowledge for Unimodal Segmentation. IEEE Trans. Medical Imaging 41(3): 621-632 (2022) - [j40]Cheng Xue, Lequan Yu, Pengfei Chen, Qi Dou, Pheng-Ann Heng:
Robust Medical Image Classification From Noisy Labeled Data With Global and Local Representation Guided Co-Training. IEEE Trans. Medical Imaging 41(6): 1371-1382 (2022) - [j39]Hongzheng Yang, Cheng Chen, Meirui Jiang, Quande Liu, Jianfeng Cao, Pheng-Ann Heng, Qi Dou:
DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images. IEEE Trans. Medical Imaging 41(12): 3575-3586 (2022) - [c75]Meirui Jiang, Zirui Wang, Qi Dou:
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images. AAAI 2022: 1087-1095 - [c74]Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng:
Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary. AAAI 2022: 1756-1764 - [c73]Meirui Jiang, Hongzheng Yang, Xiaofan Zhang, Shaoting Zhang, Qi Dou:
Efficient Federated Tumor Segmentation via Parameter Distance Weighted Aggregation and Client Pruning. BrainLes@MICCAI (2) 2022: 161-172 - [c72]Guangyuan Li, Jun Lv, Yapeng Tian, Qi Dou, Chengyan Wang, Chenliang Xu, Jing Qin:
Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution. CVPR 2022: 20604-20613 - [c71]Kai Chen, Rui Cao, Stephen James, Yichuan Li, Yun-Hui Liu, Pieter Abbeel, Qi Dou:
Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking. ECCV (39) 2022: 533-550 - [c70]Xiao Gu, Yao Guo, Zeju Li, Jianing Qiu, Qi Dou, Yuxuan Liu, Benny Lo, Guang-Zhong Yang:
Tackling Long-Tailed Category Distribution Under Domain Shifts. ECCV (23) 2022: 727-743 - [c69]Nan Lu, Zhao Wang, Xiaoxiao Li, Gang Niu, Qi Dou, Masashi Sugiyama:
Federated Learning from Only Unlabeled Data with Class-conditional-sharing Clients. ICLR 2022 - [c68]Yidan Feng, Biqi Yang, Xianzhi Li, Chi-Wing Fu, Rui Cao, Kai Chen, Qi Dou, Mingqiang Wei, Yun-Hui Liu, Pheng-Ann Heng:
Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking. ICRA 2022: 405-411 - [c67]Bin Li, Ruofeng Wei, Jiaqi Xu, Bo Lu, Chi Hang Yee, Chi-Fai Ng, Pheng-Ann Heng, Qi Dou, Yun-Hui Liu:
3D Perception based Imitation Learning under Limited Demonstration for Laparoscope Control in Robotic Surgery. ICRA 2022: 7664-7670 - [c66]Biqi Yang, Xiaojie Gao, Kai Chen, Rui Cao, Yidan Feng, Xianzhi Li, Qi Dou, Chi-Wing Fu, Yun-Hui Liu, Pheng-Ann Heng:
SESR: Self-Ensembling Sim-to-Real Instance Segmentation for Auto-Store Bin Picking. IROS 2022: 5987-5994 - [c65]Ruofeng Wei, Bin Li, Hangjie Mo, Fangxun Zhong, Yonghao Long, Qi Dou, Yun-Hui Liu, Dong Sun:
Distilled Visual and Robot Kinematics Embeddings for Metric Depth Estimation in Monocular Scene Reconstruction. IROS 2022: 8072-8077 - [c64]Yang Yu, Zixu Zhao, Yueming Jin, Guangyong Chen, Qi Dou, Pheng-Ann Heng:
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations. IROS 2022: 10857-10864 - [c63]Wenao Ma, Shuang Zheng, Lei Zhang, Huimao Zhang, Qi Dou:
Rapid Model Transfer for Medical Image Segmentation Via Iterative Human-in-the-Loop Update: from Labelled Public to Unlabelled Clinical Datasets for Multi-Organ Segmentation in CT. ISBI 2022: 1-5 - [c62]Yonghao Long, Jianfeng Cao, Anton Deguet, Russell H. Taylor, Qi Dou:
Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario. ISMR 2022: 1-8 - [c61]Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou:
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. MICCAI (3) 2022: 196-206 - [c60]Jinpeng Li, Guangyong Chen, Hangyu Mao, Danruo Deng, Dong Li, Jianye Hao, Qi Dou, Pheng-Ann Heng:
Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification. MICCAI (3) 2022: 217-226 - [c59]Wenao Ma, Cheng Chen, Shuang Zheng, Jing Qin, Huimao Zhang, Qi Dou:
Test-Time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift. MICCAI (3) 2022: 313-323 - [c58]Yuehao Wang, Yonghao Long, Siu Hin Fan, Qi Dou:
Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery. MICCAI (8) 2022: 431-441 - [c57]Guangyuan Li, Jun Lyu, Chengyan Wang, Qi Dou, Jing Qin:
WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-contrast MRI Super-Resolution. MICCAI (6) 2022: 463-473 - [c56]Jun Lyu, Bin Sui, Chengyan Wang, Yapeng Tian, Qi Dou, Jing Qin:
DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast Multi-contrast MR Imaging. MICCAI (6) 2022: 474-484 - [c55]Ziyi Wang, Bo Lu, Yonghao Long, Fangxun Zhong, Tak Hong Cheung, Qi Dou, Yunhui Liu:
AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy. MICCAI (8) 2022: 486-496 - [c54]Jixiu Li, Yisen Huang, Wing Yin Ng, Truman Cheng, Xixin Wu, Qi Dou, Helen Meng, Pheng-Ann Heng, Yunhui Liu, Shannon Melissa Chan, David Navarro-Alarcon, Calvin Sze Hang Ng, Philip Wai Yan Chiu, Zheng Li:
Speech-Vision Based Multi-Modal AI Control of a Magnetic Anchored and Actuated Endoscope. ROBIO 2022: 403-408 - [c53]Shizhan Gong, Weitao Lu, Jize Xie, Xiaofan Zhang, Shaoting Zhang, Qi Dou:
Robust Cardiac MRI Segmentation with Data-Centric Models to Improve Performance via Intensive Pre-training and Augmentation. STACOM@MICCAI 2022: 494-504 - [e12]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13431, Springer 2022, ISBN 978-3-031-16430-9 [contents] - [e11]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13432, Springer 2022, ISBN 978-3-031-16433-0 [contents] - [e10]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13433, Springer 2022, ISBN 978-3-031-16436-1 [contents] - [e9]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13434, Springer 2022, ISBN 978-3-031-16439-2 [contents] - [e8]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part V. Lecture Notes in Computer Science 13435, Springer 2022, ISBN 978-3-031-16442-2 [contents] - [e7]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VI. Lecture Notes in Computer Science 13436, Springer 2022, ISBN 978-3-031-16445-3 [contents] - [e6]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VII. Lecture Notes in Computer Science 13437, Springer 2022, ISBN 978-3-031-16448-4 [contents] - [e5]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VIII. Lecture Notes in Computer Science 13438, Springer 2022, ISBN 978-3-031-16451-4 [contents] - [e4]Konstantinos Kamnitsas, Lisa M. Koch, Mobarakol Islam, Ziyue Xu, Manuel Jorge Cardoso, Qi Dou, Nicola Rieke, Sotirios A. Tsaftaris:
Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13542, Springer 2022, ISBN 978-3-031-16851-2 [contents] - [e3]Ender Konukoglu, Bjoern H. Menze, Archana Venkataraman, Christian F. Baumgartner, Qi Dou, Shadi Albarqouni:
International Conference on Medical Imaging with Deep Learning, MIDL 2022, 6-8 July 2022, Zurich, Switzerland. Proceedings of Machine Learning Research 172, PMLR 2022 [contents] - [i87]Yonghao Long, Jianfeng Cao, Anton Deguet, Russell H. Taylor, Qi Dou:
Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario. CoRR abs/2201.00383 (2022) - [i86]Arnaud Huaulmé, Kanako Harada, Quang-Minh Nguyen, Bogyu Park, Seungbum Hong, Min-Kook Choi, Michael Peven, Yunshuang Li, Yonghao Long, Qi Dou, Satyadwyoom Kumar, Seenivasan Lalithkumar, Hongliang Ren, Hiroki Matsuzaki, Yuto Ishikawa, Yuriko Harai, Satoshi Kondo, Mamoru Mitsuishi, Pierre Jannin:
PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition? CoRR abs/2202.05821 (2022) - [i85]Yidan Feng, Biqi Yang, Xianzhi Li, Chi-Wing Fu, Rui Cao, Kai Chen, Qi Dou, Mingqiang Wei, Yun-Hui Liu, Pheng-Ann Heng:
Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking. CoRR abs/2203.02767 (2022) - [i84]Guangyuan Li, Jun Lv, Yapeng Tian, Qi Dou, Chengyan Wang, Chenliang Xu, Jing Qin:
Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution. CoRR abs/2203.13963 (2022) - [i83]Bin Li, Ruofeng Wei, Jiaqi Xu, Bo Lu, Chi Hang Yee, Chi-Fai Ng, Pheng-Ann Heng, Qi Dou, Yun-Hui Liu:
3D Perception based Imitation Learning under Limited Demonstration for Laparoscope Control in Robotic Surgery. CoRR abs/2204.03195 (2022) - [i82]Nan Lu, Zhao Wang, Xiaoxiao Li, Gang Niu, Qi Dou, Masashi Sugiyama:
Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients. CoRR abs/2204.03304 (2022) - [i81]Yonghao Long, Chengkun Li, Qi Dou:
Robotic Surgery Remote Mentoring via AR with 3D Scene Streaming and Hand Interaction. CoRR abs/2204.04377 (2022) - [i80]Wenao Ma, Shuang Zheng, Lei Zhang, Huimao Zhang, Qi Dou:
Rapid model transfer for medical image segmentation via iterative human-in-the-loop update: from labelled public to unlabelled clinical datasets for multi-organ segmentation in CT. CoRR abs/2204.06243 (2022) - [i79]Kai Chen, Rui Cao, Stephen James, Yichuan Li, Yun-Hui Liu, Pieter Abbeel, Qi Dou:
Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin-picking. CoRR abs/2204.07049 (2022) - [i78]Meirui Jiang, Hongzheng Yang, Cheng Chen, Qi Dou:
IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation. CoRR abs/2204.08467 (2022) - [i77]Cheng Xue, Lequan Yu, Pengfei Chen, Qi Dou, Pheng-Ann Heng:
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training. CoRR abs/2205.04723 (2022) - [i76]Hongzheng Yang, Cheng Chen, Meirui Jiang, Quande Liu, Jianfeng Cao, Pheng-Ann Heng, Qi Dou:
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images. CoRR abs/2205.13723 (2022) - [i75]Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou:
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. CoRR abs/2206.13079 (2022) - [i74]Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng:
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary. CoRR abs/2206.14467 (2022) - [i73]Yuehao Wang, Yonghao Long, Siu Hin Fan, Qi Dou:
Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery. CoRR abs/2206.15255 (2022) - [i72]Wenao Ma, Cheng Chen, Shuang Zheng, Jing Qin, Huimao Zhang, Qi Dou:
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift. CoRR abs/2207.00769 (2022) - [i71]Yang Yu, Zixu Zhao, Yueming Jin, Guangyong Chen, Qi Dou, Pheng-Ann Heng:
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations. CoRR abs/2207.09664 (2022) - [i70]Xiao Gu, Yao Guo, Zeju Li, Jianing Qiu, Qi Dou, Yuxuan Liu, Benny Lo, Guang-Zhong Yang:
Tackling Long-Tailed Category Distribution Under Domain Shifts. CoRR abs/2207.10150 (2022) - [i69]Ziyi Wang, Bo Lu, Yonghao Long, Fangxun Zhong, Tak Hong Cheung, Qi Dou, Yunhui Liu:
AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy. CoRR abs/2208.02049 (2022) - [i68]Carole H. Sudre, Kimberlin M. H. van Wijnen, Florian Dubost, Hieab Adams, David Atkinson, Frederik Barkhof, Mahlet A. Birhanu, Esther E. Bron, Robin Camarasa, Nish Chaturvedi, Yuan Chen, Zihao Chen, Shuai Chen, Qi Dou, Tavia E. Evans, Ivan Ezhov, Haojun Gao, Marta Gironés-Sangüesa, Juan Domingo Gispert, Beatriz Gomez Anson, Alun D. Hughes, Mohammad Arfan Ikram, Silvia Ingala, Hans Rolf Jäger, Florian Kofler, Hugo J. Kuijf, Denis Kutnar, Minho Lee, Bo Li, Luigi Lorenzini, Bjoern H. Menze, José Luis Molinuevo, Yiwei Pan, Élodie Puybareau, Rafael Rehwald, Ruisheng Su, Pengcheng Shi, Lorna Smith, Therese Tillin, Guillaume Tochon, Hélène Urien, Bas H. M. van der Velden, Isabelle F. van der Velpen, Benedikt Wiestler, Frank J. Wolters, Pinar Yilmaz, Marius de Groot, Meike W. Vernooij, Marleen de Bruijne:
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. CoRR abs/2208.07167 (2022) - [i67]Yiang Lu, Wei Chen, Bo Lu, Jianshu Zhou, Zhi Chen, Qi Dou, Yun-Hui Liu:
Robust Data-Driven 3-D Shape Servoing of Unmodeled Continuum Robots Using FBG Sensors in Unstructured Environments. CoRR abs/2209.05095 (2022) - [i66]Junming Chen, Meirui Jiang, Qi Dou, Qifeng Chen:
Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer. CoRR abs/2210.00912 (2022) - [i65]Hongbin Lin, Qian Gao, Xiangyu Chu, Qi Dou, Anton Deguet, Peter Kazanzides, K. W. Samuel Au:
Learning Deep Nets for Gravitational Dynamics with Unknown Disturbance through Physical Knowledge Distillation: Initial Feasibility Study. CoRR abs/2210.01398 (2022) - [i64]Kai Chen, Stephen James, Congying Sui, Yun-Hui Liu, Pieter Abbeel, Qi Dou:
StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS. CoRR abs/2211.01644 (2022) - [i63]Ruofeng Wei, Bin Li, Hangjie Mo, Fangxun Zhong, Yonghao Long, Qi Dou, Yun-Hui Liu, Dong Sun:
Distilled Visual and Robot Kinematics Embeddings for Metric Depth Estimation in Monocular Scene Reconstruction. CoRR abs/2211.14738 (2022) - 2021
- [j38]Xiaowen Kong, Yueming Jin, Qi Dou, Ziyi Wang, Zerui Wang, Bo Lu, Erbao Dong, Yun-Hui Liu, Dong Sun:
Accurate instance segmentation of surgical instruments in robotic surgery: model refinement and cross-dataset evaluation. Int. J. Comput. Assist. Radiol. Surg. 16(9): 1607-1614 (2021) - [j37]Cristian A. Linte, Elvis C. S. Chen, Simon Drouin, Marta Kersten-Oertel, Ziv Yaniv, Daniel A. Hashimoto, Qi Dou, Xiongbiao Luo, A. Jonathan McLeod, Duygu Sarikaya:
Special issue on 2020 augmented environments for computer-assisted interventions (AE-CAI): guest editors' foreword. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9(3): 217-218 (2021) - [j36]Arnaud Huaulmé, Duygu Sarikaya, Kévin Le Mut, Fabien Despinoy, Yonghao Long, Qi Dou, Chin-Boon Chng, Wenjun Lin, Satoshi Kondo, Laura Bravo Sánchez, Pablo Arbeláez, Wolfgang Reiter, Manoru Mitsuishi, Kanako Harada, Pierre Jannin:
MIcro-surgical anastomose workflow recognition challenge report. Comput. Methods Programs Biomed. 212: 106452 (2021) - [j35]Xueying Shi, Yueming Jin, Qi Dou, Pheng-Ann Heng:
Semi-supervised learning with progressive unlabeled data excavation for label-efficient surgical workflow recognition. Medical Image Anal. 73: 102158 (2021) - [j34]Zixu Zhao, Yueming Jin, Junming Chen, Bo Lu, Chi-Fai Ng, Yun-Hui Liu, Qi Dou, Pheng-Ann Heng:
Anchor-guided online meta adaptation for fast one-Shot instrument segmentation from robotic surgical videos. Medical Image Anal. 74: 102240 (2021) - [j33]Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng:
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine 4 (2021) - [j32]Hongbin Lin, Qian Gao, Xiangyu Chu, Qi Dou, Anton Deguet, Peter Kazanzides, K. W. Samuel Au:
Learning Deep Nets for Gravitational Dynamics With Unknown Disturbance Through Physical Knowledge Distillation: Initial Feasibility Study. IEEE Robotics Autom. Lett. 6(2): 2658-2665 (2021) - [j31]Yi-Jie Huang, Qi Dou, Zi-Xian Wang, Li-Zhi Liu, Ying Jin, Chao-Feng Li, Lisheng Wang, Hao Chen, Rui-Hua Xu:
3-D RoI-Aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation. IEEE Trans. Cybern. 51(11): 5397-5408 (2021) - [j30]Caizi Li, Li Dong, Qi Dou, Fan Lin, Kebao Zhang, Zuxin Feng, Weixin Si, Xuesong Deng, Zhe Deng, Pheng-Ann Heng:
Self-Ensembling Co-Training Framework for Semi-Supervised COVID-19 CT Segmentation. IEEE J. Biomed. Health Informatics 25(11): 4140-4151 (2021) - [j29]Yue Sun, Kun Gao, Zhengwang Wu, Guannan Li, Xiaopeng Zong, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett A. Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Dinggang Shen, Gang Li, Li Wang:
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. IEEE Trans. Medical Imaging 40(5): 1363-1376 (2021) - [j28]Yueming Jin, Yonghao Long, Cheng Chen, Zixu Zhao, Qi Dou, Pheng-Ann Heng:
Temporal Memory Relation Network for Workflow Recognition From Surgical Video. IEEE Trans. Medical Imaging 40(7): 1911-1923 (2021) - [c52]Youtan Yin, Hongzheng Yang, Quande Liu, Meirui Jiang, Cheng Chen, Qi Dou, Pheng-Ann Heng:
Efficient Federated Tumor Segmentation via Normalized Tensor Aggregation and Client Pruning. BrainLes@MICCAI (2) 2021: 433-443 - [c51]Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng:
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space. CVPR 2021: 1013-1023 - [c50]Kai Chen, Qi Dou:
SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation. ICCV 2021: 2753-2762 - [c49]Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou:
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. ICLR 2021 - [c48]Bin Li, Bo Lu, Yiang Lu, Qi Dou, Yun-Hui Liu:
Data-driven Holistic Framework for Automated Laparoscope Optimal View Control with Learning-based Depth Perception. ICRA 2021: 12366-12372 - [c47]Yonghao Long, Jie Ying Wu, Bo Lu, Yueming Jin, Mathias Unberath, Yun-Hui Liu, Pheng-Ann Heng, Qi Dou:
Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery. ICRA 2021: 13346-13353 - [c46]Zixu Zhao, Yueming Jin, Bo Lu, Chi-Fai Ng, Qi Dou, Yun-Hui Liu, Pheng-Ann Heng:
One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video. ICRA 2021: 13553-13559 - [c45]Xiaojie Gao, Yueming Jin, Zixu Zhao, Qi Dou, Pheng-Ann Heng:
Future Frame Prediction for Robot-Assisted Surgery. IPMI 2021: 533-544 - [c44]Jiaqi Xu, Bin Li, Bo Lu, Yun-Hui Liu, Qi Dou, Pheng-Ann Heng:
SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning. IROS 2021: 1821-1828 - [c43]Jiaze Wang, Kai Chen, Qi Dou:
Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks. IROS 2021: 4807-4814 - [c42]Xiaojie Gao, Yueming Jin, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng:
Accurate Grid Keypoint Learning for Efficient Video Prediction. IROS 2021: 5908-5915 - [c41]Xueying Shi, Yueming Jin, Qi Dou, Jing Qin, Pheng-Ann Heng:
Domain Adaptive Robotic Gesture Recognition with Unsupervised Kinematic-Visual Data Alignment. IROS 2021: 9453-9460 - [c40]Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng-Ann Heng:
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling. MICCAI (5) 2021: 225-235 - [c39]Quande Liu, Hongzheng Yang, Qi Dou, Pheng-Ann Heng:
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching. MICCAI (3) 2021: 325-335 - [c38]Yonghao Long, Zhaoshuo Li, Chi Hang Yee, Chi-Fai Ng, Russell H. Taylor, Mathias Unberath, Qi Dou:
E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-Based Stereoscopic Depth Perception. MICCAI (4) 2021: 415-425 - [c37]Xiaojie Gao, Yueming Jin, Yonghao Long, Qi Dou, Pheng-Ann Heng:
Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer. MICCAI (4) 2021: 593-603 - [e2]Shadi Albarqouni, Manuel Jorge Cardoso, Qi Dou, Konstantinos Kamnitsas, Bishesh Khanal, Islem Rekik, Nicola Rieke, Debdoot Sheet, Sotirios A. Tsaftaris, Daguang Xu, Ziyue Xu:
Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health - Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings. Lecture Notes in Computer Science 12968, Springer 2021, ISBN 978-3-030-87721-7 [contents] - [e1]Mattias P. Heinrich, Qi Dou, Marleen de Bruijne, Jan Lellmann, Alexander Schlaefer, Floris Ernst:
Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany. Proceedings of Machine Learning Research 143, PMLR 2021 [contents] - [i62]Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou:
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. CoRR abs/2102.07623 (2021) - [i61]Xueying Shi, Yueming Jin, Qi Dou, Jing Qin, Pheng-Ann Heng:
Domain Adaptive Robotic Gesture Recognition with Unsupervised Kinematic-Visual Data Alignment. CoRR abs/2103.04075 (2021) - [i60]Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng:
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space. CoRR abs/2103.06030 (2021) - [i59]Xiaojie Gao, Yueming Jin, Yonghao Long, Qi Dou, Pheng-Ann Heng:
Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer. CoRR abs/2103.09712 (2021) - [i58]Xiaojie Gao, Yueming Jin, Zixu Zhao, Qi Dou, Pheng-Ann Heng:
Future Frame Prediction for Robot-assisted Surgery. CoRR abs/2103.10308 (2021) - [i57]Zixu Zhao, Yueming Jin, Bo Lu, Chi-Fai Ng, Qi Dou, Yun-Hui Liu, Pheng-Ann Heng:
One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video. CoRR abs/2103.12988 (2021) - [i56]Arnaud Huaulmé, Duygu Sarikaya, Kévin Le Mut, Fabien Despinoy, Yonghao Long, Qi Dou, Chin-Boon Chng, Wenjun Lin, Satoshi Kondo, Laura Bravo Sánchez, Pablo Arbeláez, Wolfgang Reiter, Mamoru Mitsuishi, Kanako Harada, Pierre Jannin:
MIcro-Surgical Anastomose Workflow recognition challenge report. CoRR abs/2103.13111 (2021) - [i55]Yueming Jin, Yonghao Long, Cheng Chen, Zixu Zhao, Qi Dou, Pheng-Ann Heng:
Temporal Memory Relation Network for Workflow Recognition from Surgical Video. CoRR abs/2103.16327 (2021) - [i54]Cheng Xue, Qiao Deng, Xiaomeng Li, Qi Dou, Pheng-Ann Heng:
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation. CoRR abs/2104.01975 (2021) - [i53]Quande Liu, Hongzheng Yang, Qi Dou, Pheng-Ann Heng:
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching. CoRR abs/2106.08600 (2021) - [i52]Yonghao Long, Zhaoshuo Li, Chi Hang Yee, Chi-Fai Ng, Russell H. Taylor, Mathias Unberath, Qi Dou:
E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception. CoRR abs/2107.00229 (2021) - [i51]Xiaojie Gao, Yueming Jin, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng:
Accurate Grid Keypoint Learning for Efficient Video Prediction. CoRR abs/2107.13170 (2021) - [i50]Jiaze Wang, Kai Chen, Qi Dou:
Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks. CoRR abs/2108.08755 (2021) - [i49]Jiaqi Xu, Bin Li, Bo Lu, Yun-Hui Liu, Qi Dou, Pheng-Ann Heng:
SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning. CoRR abs/2108.13035 (2021) - [i48]Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng-Ann Heng:
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling. CoRR abs/2109.09735 (2021) - [i47]Martin Wagner, Beat Peter Müller-Stich, Anna Kisilenko, Duc Tran, Patrick Heger, Lars Mündermann, David M. Lubotsky, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Annika Reinke, Tong Yu, Armine Vardazaryan, Chinedu Innocent Nwoye, Nicolas Padoy, Xinyang Liu, Eung-Joo Lee, Constantin Disch, Hans Meine, Tong Xia, Fucang Jia, Satoshi Kondo, Wolfgang Reiter, Yueming Jin, Yonghao Long, Meirui Jiang, Qi Dou, Pheng-Ann Heng, Isabell Twick, Kadir Kirtaç, Enes Hosgor, Jon Lindström Bolmgren, Michael Stenzel, Björn von Siemens, Hannes Götz Kenngott, Felix Nickel, Moritz von Frankenberg, Franziska Mathis-Ullrich, Lena Maier-Hein, Stefanie Speidel, Sebastian Bodenstedt:
Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark. CoRR abs/2109.14956 (2021) - [i46]Ruofeng Wei, Bin Li, Hangjie Mo, Bo Lu, Yonghao Long, Bohan Yang, Qi Dou, Yunhui Liu, Dong Sun:
Stereo Dense Scene Reconstruction and Accurate Laparoscope Localization for Learning-Based Navigation in Robot-Assisted Surgery. CoRR abs/2110.03912 (2021) - [i45]Meirui Jiang, Xiaofei Zhang, Michael Kamp, Xiaoxiao Li, Qi Dou:
TsmoBN: Interventional Generalization for Unseen Clients in Federated Learning. CoRR abs/2110.09974 (2021) - [i44]Meirui Jiang, Zirui Wang, Qi Dou:
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images. CoRR abs/2112.10775 (2021) - 2020
- [j27]Ping Liu, Qi Dou, Qiong Wang, Pheng-Ann Heng:
An Encoder-Decoder Neural Network With 3D Squeeze-and-Excitation and Deep Supervision for Brain Tumor Segmentation. IEEE Access 8: 34029-34037 (2020) - [j26]Xueying Shi, Yueming Jin, Qi Dou, Pheng-Ann Heng:
LRTD: long-range temporal dependency based active learning for surgical workflow recognition. Int. J. Comput. Assist. Radiol. Surg. 15(9): 1573-1584 (2020) - [j25]Yueming Jin, Huaxia Li, Qi Dou, Hao Chen, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng:
Multi-task recurrent convolutional network with correlation loss for surgical video analysis. Medical Image Anal. 59 (2020) - [j24]Xi Wang, Hao Chen, Caixia Gan, Huangjing Lin, Qi Dou, Efstratios Tsougenis, Qitao Huang, Muyan Cai, Pheng-Ann Heng:
Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis. IEEE Trans. Cybern. 50(9): 3950-3962 (2020) - [j23]Zhao Wang, Quande Liu, Qi Dou:
Contrastive Cross-Site Learning With Redesigned Net for COVID-19 CT Classification. IEEE J. Biomed. Health Informatics 24(10): 2806-2813 (2020) - [j22]Lihao Liu, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Multi-Task Deep Model With Margin Ranking Loss for Lung Nodule Analysis. IEEE Trans. Medical Imaging 39(3): 718-728 (2020) - [j21]Qi Dou, Quande Liu, Pheng-Ann Heng, Ben Glocker:
Unpaired Multi-Modal Segmentation via Knowledge Distillation. IEEE Trans. Medical Imaging 39(7): 2415-2425 (2020) - [j20]Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation. IEEE Trans. Medical Imaging 39(7): 2494-2505 (2020) - [j19]Quande Liu, Qi Dou, Lequan Yu, Pheng-Ann Heng:
MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data. IEEE Trans. Medical Imaging 39(9): 2713-2724 (2020) - [j18]Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng:
Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model. IEEE Trans. Medical Imaging 39(11): 3429-3440 (2020) - [c36]Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou:
Harmonizing Transferability and Discriminability for Adapting Object Detectors. CVPR 2020: 8866-8875 - [c35]Xiaojie Gao, Yueming Jin, Qi Dou, Pheng-Ann Heng:
Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search. ICRA 2020: 8440-8446 - [c34]Bo Lu, Wei Chen, Yueming Jin, Dandan Zhang, Qi Dou, Henry Kar Hang Chu, Pheng-Ann Heng, Yun-Hui Liu:
A Learning-Driven Framework with Spatial Optimization For Surgical Suture Thread Reconstruction and Autonomous Grasping Under Multiple Topologies and Environmental Noises. IROS 2020: 3075-3082 - [c33]Xiaoyang Zou, Qi Dou:
Domain Knowledge Driven Multi-modal Segmentation of Anatomical Brain Barriers to Cancer Spread. MICCAI (Challenges) 2020: 16-26 - [c32]Quande Liu, Qi Dou, Pheng-Ann Heng:
Shape-Aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains. MICCAI (2) 2020: 475-485 - [c31]Cheng Xue, Qiao Deng, Xiaomeng Li, Qi Dou, Pheng-Ann Heng:
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation. MICCAI (6) 2020: 579-588 - [c30]Youyi Song, Lei Zhu, Baiying Lei, Bin Sheng, Qi Dou, Jing Qin, Kup-Sze Choi:
Shape Mask Generator: Learning to Refine Shape Priors for Segmenting Overlapping Cervical Cytoplasms. MICCAI (4) 2020: 639-649 - [c29]Zixu Zhao, Yueming Jin, Xiaojie Gao, Qi Dou, Pheng-Ann Heng:
Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video. MICCAI (3) 2020: 679-689 - [c28]Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Ben Glocker:
Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks. MICCAI (7) 2020: 710-719 - [i43]Qi Dou, Quande Liu, Pheng-Ann Heng, Ben Glocker:
Unpaired Multi-modal Segmentation via Knowledge Distillation. CoRR abs/2001.03111 (2020) - [i42]Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation. CoRR abs/2002.02255 (2020) - [i41]Quande Liu, Qi Dou, Lequan Yu, Pheng-Ann Heng:
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data. CoRR abs/2002.03366 (2020) - [i40]Xiaojie Gao, Yueming Jin, Qi Dou, Pheng-Ann Heng:
Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search. CoRR abs/2002.08718 (2020) - [i39]Cheng Chen, Qi Dou, Yueming Jin, Hao Chen, Jing Qin, Pheng-Ann Heng:
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion. CoRR abs/2002.09708 (2020) - [i38]Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou:
Harmonizing Transferability and Discriminability for Adapting Object Detectors. CoRR abs/2003.06297 (2020) - [i37]Youyi Song, Lei Zhu, Baiying Lei, Bin Sheng, Qi Dou, Jing Qin, Kup-Sze Choi:
Constrained Multi-shape Evolution for Overlapping Cytoplasm Segmentation. CoRR abs/2004.03892 (2020) - [i36]Xueying Shi, Yueming Jin, Qi Dou, Pheng-Ann Heng:
LRTD: Long-Range Temporal Dependency based Active Learning for Surgical Workflow Recognition. CoRR abs/2004.09845 (2020) - [i35]Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng:
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model. CoRR abs/2005.07377 (2020) - [i34]Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Benjamin M. Glocker:
Image-level Harmonization of Multi-Site Data using Image-and-Spatial Transformer Networks. CoRR abs/2006.16741 (2020) - [i33]Bo Lu, Wei Chen, Yueming Jin, Dandan Zhang, Qi Dou, Henry Kar Hang Chu, Pheng-Ann Heng, Yun-Hui Liu:
A Learning-Driven Framework with Spatial Optimization For Surgical Suture Thread Reconstruction and Autonomous Grasping Under Multiple Topologies and Environmental Noises. CoRR abs/2007.00920 (2020) - [i32]Quande Liu, Qi Dou, Pheng-Ann Heng:
Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains. CoRR abs/2007.02035 (2020) - [i31]Yue Sun, Kun Gao, Zhengwang Wu, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett A. Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Gang Li, Dinggang Shen, Li Wang:
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. CoRR abs/2007.02096 (2020) - [i30]Zixu Zhao, Yueming Jin, Xiaojie Gao, Qi Dou, Pheng-Ann Heng:
Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video. CoRR abs/2007.02501 (2020) - [i29]Zhao Wang, Quande Liu, Qi Dou:
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification. CoRR abs/2009.07652 (2020) - [i28]Yonghao Long, Jie Ying Wu, Bo Lu, Yueming Jin, Mathias Unberath, Yun-Hui Liu, Pheng-Ann Heng, Qi Dou:
Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery. CoRR abs/2011.01619 (2020) - [i27]Bin Li, Bo Lu, Yiang Lu, Qi Dou, Yun-Hui Liu:
Data-driven Holistic Framework for Automated Laparoscope Optimal View Control with Learning-based Depth Perception. CoRR abs/2011.11241 (2020)
2010 – 2019
- 2019
- [j17]Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng:
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation. IEEE Access 7: 99065-99076 (2019) - [j16]Qi Dou, Xianjun Sam Zheng, Tongfang Sun, Pheng-Ann Heng:
Webthetics: Quantifying webpage aesthetics with deep learning. Int. J. Hum. Comput. Stud. 124: 56-66 (2019) - [j15]Simon Graham, Hao Chen, Jevgenij Gamper, Qi Dou, Pheng-Ann Heng, David R. J. Snead, Yee-Wah Tsang, Nasir M. Rajpoot:
MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images. Medical Image Anal. 52: 199-211 (2019) - [j14]Huangjing Lin, Hao Chen, Simon Graham, Qi Dou, Nasir M. Rajpoot, Pheng-Ann Heng:
Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection. IEEE Trans. Medical Imaging 38(8): 1948-1958 (2019) - [c27]Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. AAAI 2019: 865-872 - [c26]Yanning Zhou, Omer Fahri Onder, Qi Dou, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng:
CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation. IPMI 2019: 682-693 - [c25]Cheng Xue, Qi Dou, Xueying Shi, Hao Chen, Pheng-Ann Heng:
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification. ISBI 2019: 1280-1283 - [c24]Zhiyu Liu, Wenhao Jiang, Kit-Hang Lee, Yat-Long Lo, Yui-Lun Ng, Qi Dou, Varut Vardhanabhuti, Ka-Wai Kwok:
A Two-Stage Approach for Automated Prostate Lesion Detection and Classification with Mask R-CNN and Weakly Supervised Deep Neural Network. AIRT@MICCAI 2019: 43-51 - [c23]Martin Zlocha, Qi Dou, Ben Glocker:
Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels. MICCAI (6) 2019: 402-410 - [c22]Yueming Jin, Keyun Cheng, Qi Dou, Pheng-Ann Heng:
Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video. MICCAI (5) 2019: 440-448 - [c21]Cheng Chen, Qi Dou, Yueming Jin, Hao Chen, Jing Qin, Pheng-Ann Heng:
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion. MICCAI (3) 2019: 447-456 - [c20]Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng:
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis. MICCAI (4) 2019: 504-512 - [c19]Xueying Shi, Qi Dou, Cheng Xue, Jing Qin, Hao Chen, Pheng-Ann Heng:
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis. MLMI@MICCAI 2019: 628-636 - [c18]Yanning Zhou, Hao Chen, Jiaqi Xu, Qi Dou, Pheng-Ann Heng:
IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation. MICCAI (1) 2019: 640-648 - [c17]Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Ben Glocker:
Domain Generalization via Model-Agnostic Learning of Semantic Features. NeurIPS 2019: 6447-6458 - [p2]Qi Dou, Cheng Chen, Cheng Ouyang, Hao Chen, Pheng-Ann Heng:
Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 93-115 - [i26]Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz K. Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipková, John S. Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Grün, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland H. Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). CoRR abs/1901.04056 (2019) - [i25]Cheng Xue, Qi Dou, Xueying Shi, Hao Chen, Pheng-Ann Heng:
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification. CoRR abs/1901.07759 (2019) - [i24]Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. CoRR abs/1901.08211 (2019) - [i23]Yanning Zhou, Omer Fahri Onder, Qi Dou, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng:
CIA-Net: Robust Nuclei Instance Segmentation with Contour-aware Information Aggregation. CoRR abs/1903.05358 (2019) - [i22]Martin Zlocha, Qi Dou, Ben Glocker:
Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels. CoRR abs/1906.02283 (2019) - [i21]Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng:
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis. CoRR abs/1906.02999 (2019) - [i20]Wenhao Jiang, Zhiyu Liu, Kit-Hang Lee, Shihui Chen, Yui-Lun Ng, Qi Dou, Hing-Chiu Chang, Ka-Wai Kwok:
Respiratory Motion Correction in Abdominal MRI using a Densely Connected U-Net with GAN-guided Training. CoRR abs/1906.09745 (2019) - [i19]Yueming Jin, Huaxia Li, Qi Dou, Hao Chen, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng:
Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis. CoRR abs/1907.06099 (2019) - [i18]Yueming Jin, Keyun Cheng, Qi Dou, Pheng-Ann Heng:
Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video. CoRR abs/1907.07899 (2019) - [i17]Yanning Zhou, Hao Chen, Jiaqi Xu, Qi Dou, Pheng-Ann Heng:
IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation. CoRR abs/1908.06623 (2019) - [i16]Xueying Shi, Qi Dou, Cheng Xue, Jing Qin, Hao Chen, Pheng-Ann Heng:
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis. CoRR abs/1909.02344 (2019) - [i15]Ben Glocker, Robert Robinson, Daniel Coelho de Castro, Qi Dou, Ender Konukoglu:
Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects. CoRR abs/1910.04597 (2019) - [i14]Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Ben Glocker:
Domain Generalization via Model-Agnostic Learning of Semantic Features. CoRR abs/1910.13580 (2019) - 2018
- [j13]Xiaomeng Li, Qi Dou, Hao Chen, Chi-Wing Fu, Xiaojuan Qi, Daniel L. Belavy, Gabriele Armbrecht, Dieter Felsenberg, Guoyan Zheng, Pheng-Ann Heng:
3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images. Medical Image Anal. 45: 41-54 (2018) - [j12]Hao Chen, Qi Dou, Lequan Yu, Jing Qin, Pheng-Ann Heng:
VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images. NeuroImage 170: 446-455 (2018) - [j11]Yueming Jin, Qi Dou, Hao Chen, Lequan Yu, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng:
SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network. IEEE Trans. Medical Imaging 37(5): 1114-1126 (2018) - [j10]Xiaomeng Li, Hao Chen, Xiaojuan Qi, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng:
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes. IEEE Trans. Medical Imaging 37(12): 2663-2674 (2018) - [c16]Yanning Zhou, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
SFCN-OPI: Detection and Fine-Grained Classification of Nuclei Using Sibling FCN With Objectness Prior Interaction. AAAI 2018: 2652-2659 - [c15]Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng:
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. IJCAI 2018: 691-697 - [c14]Yi-Jie Huang, Qi Dou, Zi-Xian Wang, Li-Zhi Liu, Li-Sheng Wang, Hao Chen, Pheng-Ann Heng, Rui-Hua Xu:
HL-FCN: Hybrid loss guided FCN for colorectal cancer segmentation. ISBI 2018: 195-198 - [c13]Lihao Liu, Qi Dou, Hao Chen, Iyiola E. Olatunji, Jing Qin, Pheng-Ann Heng:
MTMR-Net: Multi-task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis. DLMIA/ML-CDS@MICCAI 2018: 74-82 - [c12]Cheng Chen, Qi Dou, Hao Chen, Pheng-Ann Heng:
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-Ray Segmentation. MLMI@MICCAI 2018: 143-151 - [c11]Huangjing Lin, Hao Chen, Qi Dou, Liansheng Wang, Jing Qin, Pheng-Ann Heng:
ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection from Whole-Slide Image. WACV 2018: 539-546 - [i13]Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng:
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. CoRR abs/1804.10916 (2018) - [i12]Cheng Chen, Qi Dou, Hao Chen, Pheng-Ann Heng:
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation. CoRR abs/1806.00600 (2018) - [i11]Simon Graham, Hao Chen, Qi Dou, Pheng-Ann Heng, Nasir M. Rajpoot:
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images. CoRR abs/1806.01963 (2018) - [i10]Yi-Jie Huang, Qi Dou, Zi-Xian Wang, Li-Zhi Liu, Ying Jin, Chao-Feng Li, Lisheng Wang, Hao Chen, Rui-Hua Xu:
3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation. CoRR abs/1806.10342 (2018) - [i9]Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng:
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation. CoRR abs/1812.07907 (2018) - 2017
- [j9]Guoyan Zheng, Chengwen Chu, Daniel L. Belavy, Bulat Ibragimov, Robert Korez, Tomaz Vrtovec, Hugo Hutt, Richard M. Everson, Judith Meakin, Isabel Lopez Andrade, Ben Glocker, Hao Chen, Qi Dou, Pheng-Ann Heng, Chunliang Wang, Daniel Forsberg, Ales Neubert, Jurgen Fripp, Martin Urschler, Darko Stern, Maria Wimmer:
Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge. Medical Image Anal. 35: 327-344 (2017) - [j8]Hao Chen, Xiaojuan Qi, Lequan Yu, Qi Dou, Jing Qin, Pheng-Ann Heng:
DCAN: Deep contour-aware networks for object instance segmentation from histology images. Medical Image Anal. 36: 135-146 (2017) - [j7]Qi Dou, Lequan Yu, Hao Chen, Yueming Jin, Xin Yang, Jing Qin, Pheng-Ann Heng:
3D deeply supervised network for automated segmentation of volumetric medical images. Medical Image Anal. 41: 40-54 (2017) - [j6]Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, Moira S. N. Berens, Cas van den Bogaard, Piergiorgio Cerello, Hao Chen, Qi Dou, Maria Evelina Fantacci, Bram Geurts, Robbert van der Gugten, Pheng-Ann Heng, Bart Jansen, Michael M. J. de Kaste, Valentin Kotov, Jack Yu-Hung Lin, Jeroen T. M. C. Manders, Alexander Sónora-Mengana, Juan Carlos García-Naranjo, Evgenia Papavasileiou, Mathias Prokop:
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge. Medical Image Anal. 42: 1-13 (2017) - [j5]Qi Dou, Hao Chen, Lequan Yu, Jing Qin, Pheng-Ann Heng:
Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection. IEEE Trans. Biomed. Eng. 64(7): 1558-1567 (2017) - [j4]Hao Chen, Lingyun Wu, Qi Dou, Jing Qin, Shengli Li, Jie-Zhi Cheng, Dong Ni, Pheng-Ann Heng:
Ultrasound Standard Plane Detection Using a Composite Neural Network Framework. IEEE Trans. Cybern. 47(6): 1576-1586 (2017) - [j3]Lequan Yu, Hao Chen, Qi Dou, Jing Qin, Pheng-Ann Heng:
Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos. IEEE J. Biomed. Health Informatics 21(1): 65-75 (2017) - [j2]Lequan Yu, Hao Chen, Qi Dou, Jing Qin, Pheng-Ann Heng:
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks. IEEE Trans. Medical Imaging 36(4): 994-1004 (2017) - [c10]Lequan Yu, Jie-Zhi Cheng, Qi Dou, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng:
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets. MICCAI (2) 2017: 287-295 - [c9]Qi Dou, Hao Chen, Yueming Jin, Huangjing Lin, Jing Qin, Pheng-Ann Heng:
Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning. MICCAI (3) 2017: 630-638 - [p1]Hao Chen, Qi Dou, Lequan Yu, Jing Qin, Lei Zhao, Vincent C. T. Mok, Defeng Wang, Lin Shi, Pheng-Ann Heng:
Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images. Deep Learning for Medical Image Analysis 2017: 133-154 - [i8]Huangjing Lin, Hao Chen, Qi Dou, Liansheng Wang, Jing Qin, Pheng-Ann Heng:
ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images. CoRR abs/1707.09597 (2017) - [i7]Lequan Yu, Jie-Zhi Cheng, Qi Dou, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng:
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets. CoRR abs/1708.00573 (2017) - [i6]Qi Dou, Hao Chen, Yueming Jin, Huangjing Lin, Jing Qin, Pheng-Ann Heng:
Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning. CoRR abs/1708.03867 (2017) - [i5]Xiaomeng Li, Hao Chen, Xiaojuan Qi, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng:
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Liver Tumor Segmentation from CT Volumes. CoRR abs/1709.07330 (2017) - [i4]Yanning Zhou, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
SFCN-OPI: Detection and Fine-grained Classification of Nuclei Using Sibling FCN with Objectness Prior Interaction. CoRR abs/1712.08297 (2017) - 2016
- [j1]Qi Dou, Hao Chen, Lequan Yu, Lei Zhao, Jing Qin, Defeng Wang, Vincent C. T. Mok, Lin Shi, Pheng-Ann Heng:
Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks. IEEE Trans. Medical Imaging 35(5): 1182-1195 (2016) - [c8]Hao Chen, Qi Dou, Xi Wang, Jing Qin, Pheng-Ann Heng:
Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks. AAAI 2016: 1160-1166 - [c7]Hao Chen, Qi Dou, Xi Wang, Jing Qin, Jack Chun Yiu Cheng, Pheng-Ann Heng:
3D Fully Convolutional Networks for Intervertebral Disc Localization and Segmentation. MIAR 2016: 375-382 - [c6]Xiaomeng Li, Qi Dou, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng:
Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation. CSI@MICCAI 2016: 85-91 - [c5]Qi Dou, Hao Chen, Yueming Jin, Lequan Yu, Jing Qin, Pheng-Ann Heng:
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes. MICCAI (2) 2016: 149-157 - [i3]Qi Dou, Hao Chen, Yueming Jin, Lequan Yu, Jing Qin, Pheng-Ann Heng:
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes. CoRR abs/1607.00582 (2016) - [i2]Hao Chen, Qi Dou, Lequan Yu, Pheng-Ann Heng:
VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation. CoRR abs/1608.05895 (2016) - [i1]Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, Moira S. N. Berens, Cas van den Bogaard, Piergiorgio Cerello, Hao Chen, Qi Dou, Maria Evelina Fantacci, Bram Geurts, Robbert van der Gugten, Pheng-Ann Heng, Bart Jansen, Michael M. J. de Kaste, Valentin Kotov, Jack Yu-Hung Lin, Jeroen T. M. C. Manders, Alexander Sónora-Mengana, Juan Carlos García-Naranjo, Mathias Prokop, Marco Saletta, Cornelia Schaefer-Prokop, Ernst Th. Scholten, Luuk Scholten, Miranda M. Snoeren, Ernesto Lopez Torres, Jef Vandemeulebroucke, Nicole Walasek, Guido C. A. Zuidhof, Bram van Ginneken, Colin Jacobs:
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge. CoRR abs/1612.08012 (2016) - 2015
- [c4]Qi Dou, Hao Chen, Lequan Yu, Lin Shi, Defeng Wang, Vincent C. T. Mok, Pheng-Ann Heng:
Automatic cerebral microbleeds detection from MR images via Independent Subspace Analysis based hierarchical features. EMBC 2015: 7933-7936 - [c3]Hao Chen, Lequan Yu, Qi Dou, Lin Shi, Vincent C. T. Mok, Pheng-Ann Heng:
Automatic detection of cerebral microbleeds via deep learning based 3D feature representation. ISBI 2015: 764-767 - [c2]Hao Chen, Qi Dou, Dong Ni, Jie-Zhi Cheng, Jing Qin, Shengli Li, Pheng-Ann Heng:
Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks. MICCAI (1) 2015: 507-514 - [c1]Yuhong Li, Qi Dou, Jinze Yu, Fucang Jia, Jing Qin, Pheng-Ann Heng:
Automatic Brain Tumor Segmentation from MR Images via a Multimodal Sparse Coding Based Probabilistic Model. PRNI 2015: 41-44
Coauthor Index
[j58] [j31] [j25] [j24] [j22] [j20] [i42] [i39] [j17] [j15] [j14] [c27] [c26] [c25] [c21] [c20] [c19] [c18] [p2] [i26] [i25] [i24] [i23] [i21] [i19] [i17] [i16] [j13] [j12] [j11] [j10] [c16] [c15] [c14] [c13] [c12] [c11] [i13] [i12] [i11] [i10] [i9] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [c10] [c9] [p1] [i8] [i7] [i6] [i5] [i4] [j1] [c8] [c7] [c6] [c5] [i3] [i2] [i1] [c4] [c3] [c2]
Ben Glocker
aka: Benjamin M. Glocker
aka: Benjamin M. Glocker
[j72] [c122] [c119] [c102] [i123] [i117] [j58] [j56] [j55] [c98] [c86] [c81] [i106] [i105] [i102] [j49] [j47] [j45] [j44] [j42] [j41] [j40] [j39] [c74] [c68] [c67] [c66] [c64] [c61] [c60] [c54] [i85] [i83] [i77] [i76] [i75] [i74] [i71] [j35] [j34] [j33] [j30] [j28] [c52] [c51] [c47] [c46] [c45] [c44] [c42] [c41] [c40] [c39] [c37] [i61] [i60] [i59] [i58] [i57] [i55] [i54] [i53] [i51] [i49] [i48] [i47] [j27] [j26] [j25] [j24] [j22] [j21] [j20] [j19] [j18] [c35] [c34] [c32] [c31] [c29] [i43] [i42] [i41] [i40] [i39] [i36] [i35] [i33] [i32] [i30] [i28] [j17] [j16] [j15] [j14] [c27] [c26] [c25] [c22] [c21] [c20] [c19] [c18] [p2] [i26] [i25] [i24] [i23] [i21] [i19] [i18] [i17] [i16] [j13] [j12] [j11] [j10] [c16] [c15] [c14] [c13] [c12] [c11] [i13] [i12] [i11] [i9] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [c10] [c9] [p1] [i8] [i7] [i6] [i5] [i4] [j1] [c8] [c7] [c6] [c5] [i3] [i2] [i1] [c4] [c3] [c2] [c1]
[c122] [c108] [i128] [j56] [c83] [i105] [j49] [j47] [j42] [j41] [c64] [i71] [j38] [j35] [j34] [j28] [c47] [c46] [c45] [c42] [c41] [c40] [c37] [i61] [i59] [i58] [i57] [i55] [i51] [i48] [i47] [j26] [j25] [c35] [c34] [c29] [i40] [i39] [i36] [i33] [i30] [i28] [c22] [c21] [i19] [i18] [j11] [j7] [c9] [i6] [c5] [i3]
[j70] [c114] [c112] [c106] [i137] [i131] [i119] [i116] [j53] [c96] [c95] [c94] [c93] [c89] [i111] [i109] [i108] [i107] [j47] [j44] [j43] [j42] [c71] [c68] [c67] [c66] [c65] [c55] [c54] [i85] [i83] [i79] [i69] [i67] [i64] [i63] [j38] [j34] [c48] [c47] [c46] [c44] [i57] [i49] [i46] [c34] [i33] [i28] [i27]
[j67] [j65] [j59] [j57] [c97] [i96] [c72] [c59] [c57] [c56] [i84] [i72] [c51] [c41] [i61] [i60] [j25] [j22] [j20] [c30] [i42] [i39] [i37] [c27] [c21] [c19] [i24] [i19] [i16] [j12] [j11] [c16] [c13] [c11] [j8] [j7] [j5] [j4] [j3] [j2] [c10] [c9] [p1] [i8] [i7] [i6] [i4] [j1] [c8] [c7] [c5] [i3] [c2] [c1]
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