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ORCIDPheng-Ann Heng
PhengAnn Heng
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- affiliation: Chinese University of Hong Kong, Hong Kong
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2020 – today
- 2020
[j181]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)- [j180]Chaoyu Chen, Xin Yang, Haoran Dou, Ruobing Huang, Xiaoqiong Huang, Xu Wang, Chong Duan, Shengli Li, Wufeng Xue, Pheng-Ann Heng, Dong Ni:
Bridge Segmentation Performance Gap Via Evolving Shape Prior. IEEE Access 8: 173961-173973 (2020) - [j179]Zhiqi Li, Yingkui Zhang, Yidan Feng, Xingyu Xie, Qiong Wang, Mingqiang Wei, Pheng-Ann Heng:
NormalF-Net: Normal Filtering Neural Network for Feature-preserving Mesh Denoising. Comput. Aided Des. 127: 102861 (2020) - [j178]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) - [j177]Xiangyun Liao, Yinling Qian, Yilong Chen, Xueying Xiong, Qiong Wang, Pheng-Ann Heng:
MMTLNet: Multi-Modality Transfer Learning Network with adversarial training for 3D whole heart segmentation. Comput. Medical Imaging Graph. 85: 101785 (2020) - [j176]Xin Yang, Xu Wang, Yi Wang, Haoran Dou, Shengli Li, Huaxuan Wen, Yi Lin, Pheng-Ann Heng, Dong Ni:
Hybrid attention for automatic segmentation of whole fetal head in prenatal ultrasound volumes. Comput. Methods Programs Biomed. 194: 105519 (2020) - [j175]Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Meng Fang, Pheng-Ann Heng:
Revisiting metric learning for few-shot image classification. Neurocomputing 406: 49-58 (2020) - [j174]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) - [j173]José Ignacio Orlando, Huazhu Fu, João Barbosa Breda, Karel van Keer, Deepti R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, Joonho Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Hrvoje Bogunovic:
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Medical Image Anal. 59 (2020) - [j172]Xi Wang, Hao Chen, An-ran Ran, Luyang Luo, Poemen P. Chan, Clement C. Tham, Robert T. Chang, Suria S. Mannil, Carol Y. Cheung, Pheng-Ann Heng:
Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning. Medical Image Anal. 63: 101695 (2020) - [j171]Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Jing Qin, Pheng-Ann Heng:
Direction-Aware Spatial Context Features for Shadow Detection and Removal. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2795-2808 (2020) - [j170]Lei Zhu, Jiaxing Chen, Xiaowei Hu, Chi-Wing Fu, Xuemiao Xu, Jing Qin, Pheng-Ann Heng:
Aggregating Attentional Dilated Features for Salient Object Detection. IEEE Trans. Circuits Syst. Video Technol. 30(10): 3358-3371 (2020) - [j169]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) - [j168]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) - [j167]Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi:
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [j166]Xiaomeng Li, Xiaowei Hu, Lequan Yu, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng:
CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading. IEEE Trans. Medical Imaging 39(5): 1483-1493 (2020) - [j165]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) - [j164]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) - [j163]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) - [j162]Lihao Liu, Xiaowei Hu, Lei Zhu, Chi-Wing Fu, Jing Qin, Pheng-Ann Heng:
ψ-Net: Stacking Densely Convolutional LSTMs for Sub-Cortical Brain Structure Segmentation. IEEE Trans. Medical Imaging 39(9): 2806-2817 (2020) - [j161]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) - [j160]Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng:
Deep Mining External Imperfect Data for Chest X-Ray Disease Screening. IEEE Trans. Medical Imaging 39(11): 3583-3594 (2020) - [j159]Xianzhi Li, Lequan Yu, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
Unsupervised Detection of Distinctive Regions on 3D Shapes. ACM Trans. Graph. 39(5): 158:1-158:14 (2020) - [j158]Lei Zhu, Xiaowei Hu, Chi-Wing Fu, Jing Qin, Pheng-Ann Heng:
Saliency-Aware Texture Smoothing. IEEE Trans. Vis. Comput. Graph. 26(7): 2471-2484 (2020) - [c198]Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng:
Towards Cross-Modality Medical Image Segmentation with Online Mutual Knowledge Distillation. AAAI 2020: 775-783 - [c197]Yang Tian, Yuming Bai, Shengdong Zhao, Chi-Wing Fu, Tianpei Yang, Pheng-Ann Heng:
Virtually-Extended Proprioception: Providing Spatial Reference in VR through an Appended Virtual Limb. CHI 2020: 1-12 - [c196]Weiwen Liu, Qing Liu, Ruiming Tang, Junyang Chen, Xiuqiang He, Pheng-Ann Heng:
Personalized Re-ranking with Item Relationships for E-commerce. CIKM 2020: 925-934 - [c195]Tianyu Wang, Xiaowei Hu, Qiong Wang, Pheng-Ann Heng, Chi-Wing Fu:
Instance Shadow Detection. CVPR 2020: 1877-1886 - [c194]Zhihao Chen, Lei Zhu, Liang Wan, Song Wang, Wei Feng, Pheng-Ann Heng:
A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection. CVPR 2020: 5610-5619 - [c193]Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu:
PointAugment: An Auto-Augmentation Framework for Point Cloud Classification. CVPR 2020: 6377-6386 - [c192]Shujun Wang, Lequan Yu, Caizi Li, Chi-Wing Fu, Pheng-Ann Heng:
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization. ECCV (9) 2020: 159-176 - [c191]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 - [c190]Lei Zhu, Rongzhen Chen, Huazhu Fu, Cong Xie, Liansheng Wang, Liang Wan, Pheng-Ann Heng:
A Second-Order Subregion Pooling Network for Breast Lesion Segmentation in Ultrasound. MICCAI (6) 2020: 160-170 - [c189]Xiaomeng Li, Lequan Yu, Yueming Jin, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng:
Difficulty-Aware Meta-learning for Rare Disease Diagnosis. MICCAI (1) 2020: 357-366 - [c188]Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng:
Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-Efficient Cardiac Segmentation. MICCAI (1) 2020: 418-427 - [c187]Quande Liu, Qi Dou, Pheng-Ann Heng:
Shape-Aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains. MICCAI (2) 2020: 475-485 - [c186]Yanning Zhou, Hao Chen, Huangjing Lin, Pheng-Ann Heng:
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation. MICCAI (1) 2020: 521-531 - [c185]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 - [c184]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 - [c183]Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng:
Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. PAKDD (1) 2020: 155-167 - [i83]Qi Dou, Quande Liu, Pheng-Ann Heng, Ben Glocker:
Unpaired Multi-modal Segmentation via Knowledge Distillation. CoRR abs/2001.03111 (2020) - [i82]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) - [i81]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) - [i80]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) - [i79]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) - [i78]Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu:
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification. CoRR abs/2002.10876 (2020) - [i77]Xianzhi Li, Ruihui Li, Guangyong Chen, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
A Rotation-Invariant Framework for Deep Point Cloud Analysis. CoRR abs/2003.07238 (2020) - [i76]Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mindroc Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtaç, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Gutai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat Peter Müller-Stich, Lena Maier-Hein:
Robust Medical Instrument Segmentation Challenge 2019. CoRR abs/2003.10299 (2020) - [i75]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) - [i74]Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra, Alessandro Masci, Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Mengyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nuñez Garcia, Oscar Camara, Nicoló Savioli, Pablo Lamata, Jichao Zhao:
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. CoRR abs/2004.12314 (2020) - [i73]Xin Yang, Xu Wang, Yi Wang, Haoran Dou, Shengli Li, Huaxuan Wen, Yi Lin, Pheng-Ann Heng, Dong Ni:
Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes. CoRR abs/2004.13567 (2020) - [i72]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) - [i71]Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng:
Deep Mining External Imperfect Data for Chest X-ray Disease Screening. CoRR abs/2006.03796 (2020) - [i70]Xianzhi Li, Ruihui Li, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng:
DNF-Net: a Deep Normal Filtering Network for Mesh Denoising. CoRR abs/2006.15510 (2020) - [i69]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) - [i68]Quande Liu, Qi Dou, Pheng-Ann Heng:
Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains. CoRR abs/2007.02035 (2020) - [i67]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) - [i66]Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng:
Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation. CoRR abs/2007.06279 (2020) - [i65]Shujun Wang, Lequan Yu, Caizi Li, Chi-Wing Fu, Pheng-Ann Heng:
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization. CoRR abs/2007.09316 (2020) - [i64]Yanning Zhou, Hao Chen, Huangjing Lin, Pheng-Ann Heng:
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation. CoRR abs/2007.10787 (2020) - [i63]Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng:
Towards Cross-modality Medical Image Segmentation with Online Mutual Knowledge Distillation. CoRR abs/2010.01532 (2020) - [i62]Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng:
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets. CoRR abs/2010.06208 (2020) - [i61]Shujun Wang, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiangbo Wan, Xinjuan Fan, Pheng-Ann Heng:
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification. CoRR abs/2010.06440 (2020) - [i60]Yong-Hao 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)
2010 – 2019
- 2019
- [j157]Yushan Yu, Xuemiao Xu, Xiaowei Hu, Pheng-Ann Heng:
DALocNet: Improving Localization Accuracy for Domain Adaptive Object Detection. IEEE Access 7: 63155-63163 (2019) - [j156]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) - [j155]Qianqian Tong, Caizi Li, Weixin Si, Xiangyun Liao, Yaliang Tong, Zhiyong Yuan, Pheng-Ann Heng:
RIANet: Recurrent interleaved attention network for cardiac MRI segmentation. Comput. Biol. Medicine 109: 290-302 (2019) - [j154]Weixin Si, Xiangyun Liao, Yinling Qian, Qiong Wang, Pheng-Ann Heng:
Versatile numerical fractures removal for SPH-based free surface liquids. Comput. Graph. 81: 1-8 (2019) - [j153]Yinling Qian, Jian Shi, Hanqiu Sun, Lei Ma, Yanyun Chen, Qiong Wang, Pheng-Ann Heng:
Layered leaf texturing using structure-guided model. Graph. Model. 103 (2019) - [j152]Ruotong Li, Weixin Si, Xiangyun Liao, Qiong Wang, Reinhard Klein, Pheng-Ann Heng:
Mixed reality based respiratory liver tumor puncture navigation. Comput. Vis. Media 5(4): 363-374 (2019) - [j151]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) - [j150]Yang Tian, Chi-Wing Fu, Shengdong Zhao, Ruihui Li, Xiao Tang, Xiaowei Hu, Pheng-Ann Heng:
Enhancing Augmented VR Interaction via Egocentric Scene Analysis. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(3): 105:1-105:24 (2019) - [j149]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) - [j148]Shujun Wang, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiangbo Wan, Xinjuan Fan, Pheng-Ann Heng:
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification. Medical Image Anal. 58 (2019) - [j147]Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Guang Yang:
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge. Medical Image Anal. 58 (2019) - [j146]Qingqing Zheng, Yi Wang, Pheng-Ann Heng:
Online Subspace Learning from Gradient Orientations for Robust Image Alignment. IEEE Trans. Image Process. 28(7): 3383-3394 (2019) - [j145]Xiaowei Hu, Xuemiao Xu, Yongjie Xiao, Hao Chen, Shengfeng He, Jing Qin, Pheng-Ann Heng:
SINet: A Scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection. IEEE Trans. Intell. Transp. Syst. 20(3): 1010-1019 (2019) - [j144]Xin Yang, Lequan Yu, Shengli Li, Huaxuan Wen, Dandan Luo, Cheng Bian, Jing Qin, Dong Ni, Pheng-Ann Heng:
Towards Automated Semantic Segmentation in Prenatal Volumetric Ultrasound. IEEE Trans. Medical Imaging 38(1): 180-193 (2019) - [j143]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) - [j142]Shujun Wang, Lequan Yu, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng:
Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation. IEEE Trans. Medical Imaging 38(11): 2485-2495 (2019) - [j141]Yi Wang, Dong Ni, Haoran Dou, Xiaowei Hu, Lei Zhu, Xin Yang, Ming Xu, Jing Qin, Pheng-Ann Heng, Tianfu Wang:
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound. IEEE Trans. Medical Imaging 38(12): 2768-2778 (2019) - [j140]Mingqiang Wei, Yang Tian, Wai-Man Pang, Charlie C. L. Wang, Ming-Yong Pang, Jun Wang, Jing Qin, Pheng-Ann Heng:
Bas-Relief Modeling from Normal Layers. IEEE Trans. Vis. Comput. Graph. 25(4): 1651-1665 (2019) - [j139]Wei-Xin Si, Xiang-Yun Liao, Yin-Ling Qian, Hai-Tao Sun, Xiang-Dong Chen, Qiong Wang, Pheng-Ann Heng:
Assessing performance of augmented reality-based neurosurgical training. Vis. Comput. Ind. Biomed. Art 2: 1-10 (2019) - [c182]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 - [c181]Xu Wang, Xin Yang, Haoran Dou, Shengli Li, Pheng-Ann Heng, Dong Ni:
Joint Segmentation and Landmark Localization of Fetal Femur in Ultrasound Volumes. BHI 2019: 1-5 - [c180]Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Pheng-Ann Heng:
Depth-Attentional Features for Single-Image Rain Removal. CVPR 2019: 8022-8031 - [c179]Zijun Deng, Lei Zhu, Xiaowei Hu, Chi-Wing Fu, Xuemiao Xu, Qing Zhang, Jing Qin, Pheng-Ann Heng:
Deep Multi-Model Fusion for Single-Image Dehazing. ICCV 2019: 2453-2462 - [c178]Xiaowei Hu, Yitong Jiang, Chi-Wing Fu, Pheng-Ann Heng:
Mask-ShadowGAN: Learning to Remove Shadows From Unpaired Data. ICCV 2019: 2472-2481 - [c177]Ruihui Li, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
PU-GAN: A Point Cloud Upsampling Adversarial Network. ICCV 2019: 7202-7211 - [c176]Yanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, Nasir M. Rajpoot:
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images. ICCV Workshops 2019: 388-398 - [c175]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 - [c174]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 - [c173]Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng:
Unsupervised Retina Image Synthesis via Disentangled Representation Learning. SASHIMI@MICCAI 2019: 32-41 - [c172]Xi Wang, Hao Chen, Luyang Luo, An-ran Ran, Poemen P. Chan, Clement C. Tham, Carol Y. Cheung, Pheng-Ann Heng:
Unifying Structure Analysis and Surrogate-Driven Function Regression for Glaucoma OCT Image Screening. MICCAI (1) 2019: 39-47 - [c171]Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng:
Boundary and Entropy-Driven Adversarial Learning for Fundus Image Segmentation. MICCAI (1) 2019: 102-110 - [c170]Lihao Liu, Lequan Yu, Shujun Wang, Pheng-Ann Heng:
Predicting Fluid Intelligence from MRI Images with Encoder-Decoder Regularization. ABCD-NP@MICCAI 2019: 108-113 - [c169]Xin Yang, Wenlong Shi, Haoran Dou, Jikuan Qian, Yi Wang, Wufeng Xue, Shengli Li, Dong Ni, Pheng-Ann Heng:
FetusMap: Fetal Pose Estimation in 3D Ultrasound. MICCAI (5) 2019: 281-289 - [c168]Haoran Dou, Xin Yang, Jikuan Qian, Wufeng Xue, Hao Qin, Xu Wang, Lequan Yu, Shujun Wang, Yi Xiong, Pheng-Ann Heng, Dong Ni:
Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound. MICCAI (5) 2019: 290-298 - [c167]Lihao Liu, Xiaowei Hu, Lei Zhu, Pheng-Ann Heng:
Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration. MICCAI (2) 2019: 346-354 - [c166]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 - [c165]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 - [c164]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 - [c163]Zixu Zhao, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis. MICCAI (1) 2019: 586-594 - [c162]Lequan Yu, Shujun Wang, Xiaomeng Li, Chi-Wing Fu, Pheng-Ann Heng:
Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation. MICCAI (2) 2019: 605-613 - [c161]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 - [c160]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 - [c159]Yinling Qian, Wenbin Huang, Weixin Si, Xiangyun Liao, Qiong Wang, Pheng-Ann Heng:
Towards Biomechanically and Visually Plausible Volumetric Cutting Simulation of Deformable Bodies. PG (Short Papers) 2019: 27-32 - [c158]Ruotong Li, Tianpei Yang, Weixin Si, Xiangyun Liao, Qiong Wang, Reinhard Klein, Pheng-Ann Heng:
Augmented Reality Guided Respiratory Liver Tumors Punctures: A Preliminary Feasibility Study. SIGGRAPH Asia Technical Briefs 2019: 114-117 - [p3]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 - [i59]