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2020 – today
- 2023
[i23]Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Ke Yan, Le Lu, Minfeng Xu, Jingren Zhou, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye, Dakai Jin:
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans. CoRR abs/2302.00162 (2023)- [i22]Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey W. Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Yanan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lv, Abdul Qayyum, Moona Mazher, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang, Ashkan Pakzad, Bojidar Rangelov, Raúl San José Estépar, Carlos Cano-Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu:
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation. CoRR abs/2303.05745 (2023) - 2022
- [j7]Ke Yan, Jinzheng Cai
, Dakai Jin, Shun Miao, Dazhou Guo, Adam P. Harrison, Youbao Tang, Jing Xiao, Jingjing Lu, Le Lu:
SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images. IEEE Trans. Medical Imaging 41(10): 2658-2669 (2022) - [c33]Ashwin Raju, Shun Miao, Dakai Jin, Le Lu, Junzhou Huang, Adam P. Harrison:
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation. AAAI 2022: 2135-2143 - [c32]Dazhou Guo, Jia Ge, Ke Yan, Puyang Wang, Zhuotun Zhu, Dandan Zheng, Xian-Sheng Hua, Le Lu, Tsung-Ying Ho, Xianghua Ye, Dakai Jin:
Thoracic Lymph Node Segmentation in CT Imaging via Lymph Node Station Stratification and Size Encoding. MICCAI (5) 2022: 55-65 - [c31]Jiawen Yao, Xianghua Ye, Yingda Xia, Jian Zhou, Yu Shi, Ke Yan, Fang Wang, Lili Lin, Haogang Yu, Xian-Sheng Hua, Le Lu, Dakai Jin, Ling Zhang:
Effective Opportunistic Esophageal Cancer Screening Using Noncontrast CT Imaging. MICCAI (3) 2022: 344-354 - [c30]Lisha Yao, Yingda Xia, Haochen Zhang, Jiawen Yao, Dakai Jin, Bingjiang Qiu, Yuan Zhang, Suyun Li, Yanting Liang, Xian-Sheng Hua, Le Lu, Xin Chen, Zaiyi Liu, Ling Zhang:
DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform. MICCAI (3) 2022: 564-573 - [i21]Zihan Li, Yunxiang Li, Qingde Li, You Zhang, Puyang Wang, Dazhou Guo, Le Lu, Dakai Jin, Qingqi Hong:
LViT: Language meets Vision Transformer in Medical Image Segmentation. CoRR abs/2206.14718 (2022) - 2021
- [j6]Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu:
DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy. Medical Image Anal. 68: 101909 (2021) - [j5]Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P. Harrison, Dakai Jin, Youbao Tang, Yuxing Tang, Lingyun Huang, Jing Xiao, Le Lu:
Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT. IEEE Trans. Medical Imaging 40(10): 2759-2770 (2021) - [c29]Dazhou Guo, Xianghua Ye, Jia Ge, Xing Di, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Zhongjie Lu, Ling Peng, Senxiang Yan, Dakai Jin:
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans Using Anatomical Context Encoding and Key Organ Auto-Search. MICCAI (5) 2021: 3-12 - [c28]Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin:
SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings. MICCAI (4) 2021: 87-97 - [i20]Dazhou Guo, Xianghua Ye, Jia Ge, Xing Di, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Zhongjie Liu, Ling Peng, Senxiang Yan, Dakai Jin:
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search. CoRR abs/2109.09271 (2021) - [i19]Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin:
SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings. CoRR abs/2109.11572 (2021) - [i18]Xianghua Ye, Dazhou Guo, Chen-Kan Tseng, Jia Ge, Tsung-Min Hung, Ping-Ching Pai, Yanping Ren, Lu Zheng, Xinli Zhu, Ling Peng, Ying Chen, Xiaohua Chen, Chen-Yu Chou, Danni Chen, Jiaze Yu, Yuzhen Chen, Feiran Jiao, Yi Xin, Lingyun Huang, Guotong Xie, Jing Xiao, Le Lu, Senxiang Yan, Dakai Jin, Tsung-Ying Ho:
Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT. CoRR abs/2110.05280 (2021) - [i17]Dazhou Guo, Jia Ge, Xianghua Ye, Senxiang Yan, Yi Xin, Yuchen Song, Bing-shen Huang, Tsung-Min Hung, Zhuotun Zhu, Ling Peng, Yanping Ren, Rui Liu, Gong Zhang, Mengyuan Mao, Xiaohua Chen, Zhongjie Lu, Wenxiang Li, Yuzhen Chen, Lingyun Huang, Jing Xiao, Adam P. Harrison, Le Lu, Chien-Yu Lin, Dakai Jin, Tsung-Ying Ho:
Comprehensive and Clinically Accurate Head and Neck Organs at Risk Delineation via Stratified Deep Learning: A Large-scale Multi-Institutional Study. CoRR abs/2111.01544 (2021) - 2020
- [c27]Dazhou Guo, Dakai Jin, Zhuotun Zhu, Tsung-Ying Ho, Adam P. Harrison, Chun-Hung Chao, Jing Xiao, Le Lu:
Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search. CVPR 2020: 4222-4231 - [c26]Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan L. Yuille, Le Lu, Chien-Hung Liao, Adam P. Harrison:
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-Scale Pathological CT Scans. ECCV (13) 2020: 257-274 - [c25]Ling Zhang, Yu Shi, Jiawen Yao, Yun Bian, Kai Cao, Dakai Jin, Jing Xiao, Le Lu:
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-institutional Multi-phase Partially-Annotated CT Scans. MICCAI (4) 2020: 491-500 - [c24]Zhuotun Zhu, Dakai Jin, Ke Yan, Tsung-Ying Ho, Xianghua Ye, Dazhou Guo, Chun-Hung Chao, Jing Xiao, Alan L. Yuille, Le Lu:
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy. MICCAI (7) 2020: 753-762 - [c23]Chun-Hung Chao, Zhuotun Zhu, Dazhou Guo, Ke Yan, Tsung-Ying Ho, Jinzheng Cai, Adam P. Harrison, Xianghua Ye, Jing Xiao, Alan L. Yuille, Min Sun, Le Lu, Dakai Jin:
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network. MICCAI (7) 2020: 772-782 - [i16]Dazhou Guo, Dakai Jin, Zhuotun Zhu, Tsung-Ying Ho, Adam P. Harrison, Chun-Hung Chao, Jing Xiao, Alan L. Yuille, Chien-Yu Lin, Le Lu:
Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search. CoRR abs/2004.08426 (2020) - [i15]Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan L. Yuille, Le Lu, Chien-Hung Liao, Adam P. Harrison:
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans. CoRR abs/2005.12209 (2020) - [i14]Zhuotun Zhu, Ke Yan, Dakai Jin, Jinzheng Cai, Tsung-Ying Ho, Adam P. Harrison, Dazhou Guo, Chun-Hung Chao, Xianghua Ye, Jing Xiao, Alan L. Yuille, Le Lu:
Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification. CoRR abs/2005.13705 (2020) - [i13]Ke Yan, Jinzheng Cai, Adam P. Harrison, Dakai Jin, Jing Xiao, Le Lu:
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets. CoRR abs/2005.13753 (2020) - [i12]Ling Zhang, Yu Shi, Jiawen Yao, Yun Bian, Kai Cao, Dakai Jin, Jing Xiao, Le Lu:
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans. CoRR abs/2008.10652 (2020) - [i11]Zhuotun Zhu, Dakai Jin, Ke Yan, Tsung-Ying Ho, Xianghua Ye, Dazhou Guo, Chun-Hung Chao, Jing Xiao, Alan L. Yuille, Le Lu:
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy. CoRR abs/2008.11870 (2020) - [i10]Chun-Hung Chao, Zhuotun Zhu, Dazhou Guo, Ke Yan, Tsung-Ying Ho, Jinzheng Cai, Adam P. Harrison, Xianghua Ye, Jing Xiao, Alan L. Yuille, Min Sun, Le Lu, Dakai Jin:
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network. CoRR abs/2008.13013 (2020) - [i9]Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P. Harrison, Dakai Jin, Youvao Tang, Yuxing Tang, Lingyun Huang, Jing Xiao, Le Lu:
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT. CoRR abs/2009.02577 (2020) - [i8]Ke Yan, Jinzheng Cai, Dakai Jin, Shun Miao, Adam P. Harrison, Dazhou Guo, Youbao Tang, Jing Xiao, Jingjing Lu, Le Lu:
Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images. CoRR abs/2012.02383 (2020)
2010 – 2019
- 2019
- [j4]Hugo J. Kuijf, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, J. Matthijs Biesbroek, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Jeroen de Bresser, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Rutger Heinen, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 38(11): 2556-2568 (2019) - [c22]Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu:
Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT Using Two-Stream Chained 3D Deep Network Fusion. MICCAI (2) 2019: 182-191 - [c21]Yirui Wang, Le Lu, Chi-Tung Cheng, Dakai Jin, Adam P. Harrison, Jing Xiao, Chien-Hung Liao, Shun Miao:
Weakly Supervised Universal Fracture Detection in Pelvic X-Rays. MICCAI (6) 2019: 459-467 - [c20]Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu:
Deep Esophageal Clinical Target Volume Delineation Using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk. MICCAI (6) 2019: 603-612 - [i7]Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR abs/1904.00682 (2019) - [i6]Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu:
Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT using Two-Stream Chained 3D Deep Network Fusion. CoRR abs/1909.01524 (2019) - [i5]Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu:
Deep Esophageal Clinical Target Volume Delineation using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk. CoRR abs/1909.01526 (2019) - [i4]Yirui Wang, Le Lu, Chi-Tung Cheng, Dakai Jin, Adam P. Harrison, Jing Xiao, Chien-Hung Liao, Shun Miao:
Weakly Supervised Universal Fracture Detection in Pelvic X-rays. CoRR abs/1909.02077 (2019) - 2018
- [j3]Punam K. Saha, Dakai Jin, Yinxiao Liu, Gary E. Christensen, Cheng Chen:
Fuzzy Object Skeletonization: Theory, Algorithms, and Applications. IEEE Trans. Vis. Comput. Graph. 24(8): 2298-2314 (2018) - [c19]Dakai Jin, Ziyue Xu, Adam P. Harrison, Daniel J. Mollura:
White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections. ISBI 2018: 1060-1064 - [c18]Dakai Jin, Ziyue Xu, Youbao Tang, Adam P. Harrison, Daniel J. Mollura:
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation. MICCAI (2) 2018: 732-740 - [i3]Dakai Jin, Ziyue Xu, Adam P. Harrison, Daniel J. Mollura:
White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections. CoRR abs/1803.06782 (2018) - [i2]Dakai Jin, Ziyue Xu, Youbao Tang, Adam P. Harrison, Daniel J. Mollura:
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation. CoRR abs/1806.04051 (2018) - 2017
- [c17]Cheng Chen, Dakai Jin, Xiaoliu Zhang, Steven M. Levy, Punam K. Saha:
Robust segmentation of trabecular bone for in vivo CT imaging using anisotropic diffusion and multi-scale morphological reconstruction. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101371T - [c16]Dakai Jin, Jia Lu, Xiaoliu Zhang, Cheng Chen, ErWei Bai, Punam K. Saha:
Direct biomechanical modeling of trabecular bone using a nonlinear manifold-based volumetric representation. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101371U - [c15]Dakai Jin, Ziyue Xu, Adam P. Harrison, Kevin George, Daniel J. Mollura:
3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels. MLMI@MICCAI 2017: 141-149 - [c14]Kevin George, Adam P. Harrison, Dakai Jin, Ziyue Xu, Daniel J. Mollura:
Pathological Pulmonary Lobe Segmentation from CT Images Using Progressive Holistically Nested Neural Networks and Random Walker. DLMIA/ML-CDS@MICCAI 2017: 195-203 - [c13]Syed Ahmed Nadeem, Dakai Jin, Eric A. Hoffman, Punam K. Saha:
An iterative method for airway segmentation using multiscale leakage detection. Medical Imaging: Image Processing 2017: 1013308 - [i1]Kevin George, Adam P. Harrison, Dakai Jin, Ziyue Xu, Daniel J. Mollura:
Pathological Pulmonary Lobe Segmentation from CT Images using Progressive Holistically Nested Neural Networks and Random Walker. CoRR abs/1708.04503 (2017) - 2016
- [j2]Dakai Jin, Krishna S. Iyer, Cheng Chen, Eric A. Hoffman, Punam K. Saha:
A robust and efficient curve skeletonization algorithm for tree-like objects using minimum cost paths. Pattern Recognit. Lett. 76: 32-40 (2016) - [c12]Cheng Chen, Dakai Jin, Xiaoliu Zhang, Steven M. Levy, Punam K. Saha:
Segmentation of Trabecular Bone for In Vivo CT Imaging Using a Novel Approach of Computing Spatial Variation in Bone and Marrow Intensities. ACCV Workshops (3) 2016: 3-15 - [c11]Syed Ahmed Nadeem, Dakai Jin, Eric A. Hoffman, Punam K. Saha:
A Novel Iterative Method for Airway Tree Segmentation from CT Imaging Using Multiscale Leakage Detection. ACCV Workshops (3) 2016: 46-60 - [c10]Dakai Jin, Junfeng Guo, Timothy M. Dougherty, Krishna S. Iyer, Eric A. Hoffman, Punam K. Saha:
A semi-automatic framework of measuring pulmonary arterial metrics at anatomic airway locations using CT imaging. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 978816 - 2015
- [c9]Dakai Jin, Cheng Chen, Punam K. Saha:
Filtering Non-Significant Quench Points Using Collision Impact in Grassfire Propagation. ICIAP (1) 2015: 432-443 - [c8]Cheng Chen, Dakai Jin, Punam K. Saha:
Fuzzy Skeletonization Improves the Performance of Characterizing Trabecular Bone Micro-architecture. ISVC (1) 2015: 14-24 - 2014
- [j1]Yinxiao Liu, Dakai Jin, Cheng Li, Kathleen F. Janz, Trudy L. Burns, James C. Torner, Steven M. Levy, Punam K. Saha:
A Robust Algorithm for Thickness Computation at Low Resolution and Its Application to In Vivo Trabecular Bone CT Imaging. IEEE Trans. Biomed. Eng. 61(7): 2057-2069 (2014) - [c7]Dakai Jin, Krishna S. Iyer, Eric A. Hoffman, Punam K. Saha:
A New Approach of Arc Skeletonization for Tree-like Objects Using Minimum Cost Path. ICPR 2014: 942-947 - [c6]Cheng Chen, Dakai Jin, Yinxiao Liu, Felix W. Wehrli, Gregory Chang, Peter J. Snyder, Ravinder R. Regatte, Punam K. Saha:
Volumetric Topological Analysis on In Vivo Trabecular Bone Magnetic Resonance Imaging. ISVC (1) 2014: 501-510 - [c5]Dakai Jin, Krishna S. Iyer, Eric A. Hoffman, Punam K. Saha:
Automated Assessment of Pulmonary Arterial Morphology in Multi-row Detector CT Imaging Using Correspondence with Anatomic Airway Branches. ISVC (1) 2014: 521-530 - 2013
- [c4]Dakai Jin, Yinxiao Liu, Punam K. Saha:
Application of fuzzy skeletonization ot quantitatively assess trabecular bone micro-architecture. EMBC 2013: 3682-3685 - [c3]Cheng Li, Dakai Jin, Trudy L. Burns, James C. Torner, Steven M. Levy, Punam K. Saha:
A New Algorithm for Cortical Bone Segmentation with Its Validation and Applications to In Vivo Imaging. ICIAP (2) 2013: 349-358 - [c2]Dakai Jin, Punam K. Saha:
A New Fuzzy Skeletonization Algorithm and Its Applications to Medical Imaging. ICIAP (1) 2013: 662-671 - [c1]Yinxiao Liu, Dakai Jin, Punam K. Saha:
A new algorithm for trabecular bone thickness computation at low resolution achieved under in vivo condition. ISBI 2013: 390-393
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