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Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT

Sep 05, 2020
Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P. Harrison, Dakai Jin, You-Bao Tang, Yu-Xing Tang, Lingyun Huang, Jing Xiao, Le Lu

* In submission 

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User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation

Sep 05, 2020
Ashwin Raju, Zhanghexuan Ji, Chi Tung Cheng, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, ChienHung Liao, Adam P. Harrison


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Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D Convolution and Surface Point Regression

Aug 30, 2020
Jinzheng Cai, Ke Yan, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu, Adam P. Harrison

* Accepted by MICCAI2020 

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Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network

Aug 29, 2020
Chun-Hung Chao, Zhuotun Zhu, Dazhou Guo, Ke Yan, Tsung-Ying Ho, Jinzheng Cai, Adam P. Harrison, Xianghua Ye, Jing Xiao, Alan Yuille, Min Sun, Le Lu, Dakai Jin

* Accepted to MICCAI 2020 

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Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

Jun 28, 2020
Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan Yuille, Holger Roth

* Medical Image Analysis, 2020 
* 19 pages, 6 figures, to appear in Medical Image Analysis. This article is an extension of the conference paper arXiv:1811.12506 

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Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning

Jun 28, 2020
Yuankai Huo, Jinzheng Cai, Chi-Tung Cheng, Ashwin Raju, Ke Yan, Bennett A. Landman, Jing Xiao, Le Lu, Chien-Hung Liao, Adam Harrison


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Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation

Jun 10, 2020
Ashwin Raju, Chi-Tung Cheng, Yunakai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, ChienHuang Liao, Adam P Harrison

* 23 pages, 8 figures 

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Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets

May 28, 2020
Ke Yan, Jinzheng Cai, Adam P. Harrison, Dakai Jin, Jing Xiao, Le Lu


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Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification

May 27, 2020
Zhuotun Zhu, Ke Yan, Dakai Jin, Jinzheng Cai, Tsung-Ying Ho, Adam P Harrison, Dazhou Guo, Chun-Hung Chao, Xianghua Ye, Jing Xiao, Alan Yuille, Le Lu

* 14 pages, 4 Figures 

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Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale

Jan 28, 2020
Jinzheng Cai, Adam P. Harrison, Youjing Zheng, Ke Yan, Yuankai Huo, Jing Xiao, Lin Yang, Le Lu

* This work has been submitted to the IEEE for possible publication 

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End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation

Oct 15, 2019
Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth

* Accepted to International Workshop on Machine Learning in Medical Imaging (MLMI2019) 

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3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training

Nov 29, 2018
Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan Yuille, Holger Roth


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CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement

Jul 18, 2018
Youbao Tang, Jinzheng Cai, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers

* Accepted by MLMI 2018 

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Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays

Jul 03, 2018
Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang

* 9 pages, 2 figures, 3 tables (with supplementary), accepted to MICCAI 2018 

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Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST

Jul 02, 2018
Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers

* 9 pages, 3 figures, accepted to MICCAI 2018. arXiv admin note: substantial text overlap with arXiv:1801.08614 

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Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning

Mar 30, 2018
Jinzheng Cai, Le Lu, Fuyong Xing, Lin Yang


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Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST

Jan 25, 2018
Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers

* v1: Main paper + supplementary material 

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Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function

Jul 18, 2017
Jinzheng Cai, Le Lu, Yuanpu Xie, Fuyong Xing, Lin Yang

* 8 pages, 7 figures, accepted to Medical Image Computing and Computer Assisted Interventions Conference (MICCAI) 2017 

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