Jinzheng Cai  

Senior Research Scientist
@ PAII Inc.
Email: caijinzhengcn at gmail dot com


Brief Bio

Hi! My name is Jinzheng Cai. I am a senior researcher at PAII-Labs. Before this, I was a Ph.D. student at Department of BioMedical Engineering (BME), University of Florida. My advisor was Dr. Lin Yang, a wonderful teacher, director, and boss. By that time, I worked closely with Dr. Le Lu on radiological medical image analysis. I obtained my bachelor degree of BME from Fudan University in 2013 supervised by Prof. Yu Ma.


My main research interest is developing algorithms to automate medical image analysis for preventive and precision medicine.


Updates


Publications

2021

46. [RSNA] Accurate Weakly-supervised Volumetric Universal Lesion Segmentation Using Large-scale Clinical RECIST Diameter Annotations And Regional Level Set Loss. Youbao Tang, Jinzheng Cai, Ke Yan, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin and Le Lu.

45. [RSNA] Automatic RECIST Measurement in Longitudinal CT Imaging Studies. Youbao Tang, Jinzheng Cai, Ke Yan, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin and Le Lu.

44. [RSNA] Automatically, Precisely, And Comprehensively Measuring Tumor Sizes with Minimal Human Effort. Youbao Tang, Ke Yan, Jinzheng Cai, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin and Le Lu.

43. [RSNA] Key-slice Parsing And Diagnostic Confidence Estimation for Localization and Differentiation of Liver Lesions Using Multi-phasic MRI. Bolin Lai, Yuhsuan Wu, Xiaoyu Bai, Xiaoyun Zhou, Peng Wang, Jinzheng Cai, Yuankai Huo, Lingyun Huang, Jing Xiao, Yong Xia, Le Lu, Mei Han, Heping Hu and Adam P. Harrison.

42. [RSNA] Multi-organ Universal Lesion Detection in CT Scans: An Independent External Validation. Lianyan Xu, Ke Yan, Kai Cao, Ling Zhang, Jingjing Lu, Wei-Hong Zhang, Jinzheng Cai, Youbao Tang, Yingda Xia, Jiawen Yao, Dazhou Guo, Lingyun Huang, Dakai Jin and Le Lu.

41. [MICCAI] Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection Youbao Tang, Ke Yan, Jinzheng Cai, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu [pdf]

40. [MIDL] Interpretable Medical Image Classification with Self-Supervised Anatomical Embedding and Prior Knowledge Ke Yan, Youbao Tang, Adam P Harrison, Jinzheng Cai, Le Lu, Jingjing Lu. [pdf]

39. [MICCAI] Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss Youbao Tang, Jinzheng Cai, Ke Yan, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu. [pdf]

38. [Clinical Cancer Research] Deep learning for fully-automated prediction of overall survival in patients with oropharyngeal cancer using FDG PET imaging: an international retrospective study Nai-Ming Cheng, Jiawen Yao, Jinzheng Cai, Xianghua Ye, Shilin Zhao, Kui Zhao, Wenlan Zhou, Isabella Nogues, Yuankai Huo, Chun-Ta Liao, Hung-Ming Wang, Chien-Yu Lin, Li-Yu Lee, Jing Xiao, Le Lu, Ling Zhang and Tzu-Chen Yen.

37. [CVPR] Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies. Jinzheng Cai, Youbao Tang, Ke Yan, Adam P. Harrison, Jing Xiao, Gigin Lin, Le Lu. [pdf] [project]

2020

36. [Preprint] Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach. Bolin Lai, Xiaoyu Bai, Yuhsuan Wu, Xiao-Yun Zhou, Jinzheng Cai, Yuankai Huo, Lingyun Huang, Peng Wang, Yong Xia, Le Lu, Adam Harrison, Heping Hu, Jing Xiao. [pdf]

35. [Preprint] Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images. Ke Yan, Jinzheng Cai, Dakai Jin, Shun Miao, Adam P. Harrison, Dazhou Guo, Youbao Tang, Jing Xiao, Jingjing Lu, Le Lu. [pdf]

34. [TMI] Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P. Harrison, Dakai Jin, Youbao Tang, Yuxing Tang, Lingyun Huang, Jing Xiao, Le Lu. [pdf]

33. [Preprint] Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning. Yuankai Huo, Jinzheng Cai, Chi-Tung Cheng, Ashwin Raju, Ke Yan, Bennett A. Landman, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison. [pdf]

32. [Book] Artificial Intelligence in Radiology. Dakai Jin, Adam P. Harrison, Ling Zhang, Ke Yan, Yirui Wang, Jinzheng Cai, Shun Miao, Le Lu. Artificial Intelligence in Medicine: Technical Basis and Clinical Applications, Elsevier, 2020.

31. [TMI] Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale. Jinzheng Cai, Adam P. Harrison, Youjing Zheng, Ke Yan, Yuankai Huo, Jing Xiao, Lin Yang, Le Lu. [pdf] [code]

30. [MICCAI] Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D Convolution and Surface Point Regression. Jinzheng Cai, Ke Yan, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu, Adam P. Harrison. [pdf]

29. [Artificial Intelligence in Medicine] Chapter 14 - Artificial intelligence in radiology. Dakai Jin, Adam P Harrison, Ling Zhang, Ke Yan, Yirui Wang, Jinzheng Cai, Shun Miao, Le Lu. [pmc]

28. [ASSLD] Automatic Hepatocellular Carcinoma Detection in Non-contrast and Venous Computed Tomography of Cirrhotic Patients - A Three Dimensional Deep Learning Based Approach Wei Teng, Chi-Tung Cheng, Jinzheng Cai, Yu-Chao Wang, Le Lu, Chun-Nan Yeh, Chun-Yen Lin, Wei-Chen Lee, Ta‐Sen Yeh, Adam P Harrison and Chien-Hung Liao.

27. [RSNA] Automatic Hepatocellular Carcinoma Detection in Patients with Chronic Liver Diseases Using Dynamic Contrast-enhanced CT and Light-Weight 3D Convolutional Neural Network Jinzheng Cai, Ke Yan, Chi-Tung Cheng, Chien-Hung Liao, Wei Teng, Yuchao Wang, Jing Xiao, Le Lu, Adam P. Harrison.

26. [RSNA] Identifying and Characterizing Indeterministic Liver Lesions via Deep Learning on Large-scale Dynamic Contrast Enhanced CT Imaging Data from Patients Receiving Invasive Procedures Yuankai Huo, Jinzheng Cai, Chi-Tung Cheng, Ke Yan, Chien-Hung Liao, Adam Harrison, Bennett Landman, Jing Xiao, Le Lu.

25. [MIA] Uncertainty-aware Multi-view Co-training For Semi-supervised Medical Image Segmentation and Domain Adaptation. Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan Yuille, Holger Roth. [pdf]

24. [ECCV] JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans. Fengze Liu, Jinzheng Cai, Yuankai Huo, Le Lu, Adam P Harrison. [pdf]

23. [ECCV] Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation. Ashwin Raju, Chi-Tung Cheng, Yunakai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, ChienHuang Liao, Adam P Harrison. [pdf]

22. [MICCAI] User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation. Ashwin Raju, Zhanghexuan Ji, Chi Tung Cheng, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, ChienHung Liao, Adam P Harrison. [pdf]

21. [MICCAI] Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network. 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. [pdf]

20. [MICCAI] Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification. 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. [pdf]

19. [WACV] 3D Semi-supervised Learning with Uncertainty-Aware Multi-View Co-training. Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan Yuille, Holger Roth. [pdf]

2019

18. [PR] Texture analysis for muscular dystrophy classification in MRI with improved class activation mapping. Jinzheng Cai, Fuyong Xing, Abhinandan Batra, Fujun Liu, Glenn A. Walter, Krista Vandenborne, Lin Yang. [pdf]

17. [MIA] Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network. Jinzheng Cai*, Zizhao Zhang*, Lei Cui, Yefeng Zheng, Lin Yang (This is a co-first author work.). [pdf]

16. [Nature MI] Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Zizhao Zhang, Pingjun Chen, Mason McGough, Fuyong Xing, Chunbao Wang, Marilyn Bui, Yuanpu Xie, Manish Sapkota, Lei Cui, Jasreman Dhillon, Nazeel Ahmad, Farah K Khalil, Shohreh I Dickinson, Xiaoshuang Shi, Fujun Liu, Hai Su, Jinzheng Cai, Lin Yang. Nature Machine Intelligence, Nature Publishing Group, 2019.

15. [MLMI] End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation. Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth. (Oral presentation.) [pdf]

14. [MICCAI] Integrating 3d geometry of organ for improving medical image segmentation. Jiawen Yao, Jinzheng Cai, Dong Yang, Daguang Xu, Junzhou Huang.

13. [MICCAI] Local and global consistency regularized mean teacher for semi-supervised nuclei classification. Hai Su, Xiaoshuang Shi, Jinzheng Cai, Lin Yang.

12. [Book] Pancreas Segmentation in CT and MRI via Task-Specific Network Design and Recurrent Neural Contextual Learning. Jinzheng Cai, Le Lu, Fuyong Xing, Lin Yang. Deep Learning and Convolutional Neural Network for Medical Imaging and Clinical Informatics, Springer, 2019. [pdf]

2018

11. [MICCAI] Iterative attention mining for weakly supervised thoracic disease pattern localization in chest X-Rays. Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang. [pdf]

10. [MICCAI] Accurate weakly-supervised deep lesion segmentation using large-scale clinical annotations: Slice-propagated 3d mask generation from 2d RECIST. Jinzheng Cai*, Youbao Tang*, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers (This is a co-first author work.). [pdf]

9. [MLMI] CT image enhancement using stacked generative adversarial networks and transfer learning for lesion segmentation improvement. Youbao Tang*, Jinzheng Cai*, Le Lu, Adam P Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M Summers. International Workshop on Machine Learning in Medical Imaging, Springer, 2018. (Co-first author, oral presentation) [pdf]

8. [ISBI] Cascaded coarse-to-fine convolutional neural networks for pericardial effusion localization and segmentation on CT scans. Jiamin Liu, Jinzheng Cai, Karthik Chellamuthu, Mohammadhadi Bagheri, Le Lu, Ronald M Summers.

7. [PR] Self-learning for face clustering. Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Jinzheng Cai, Lin Yang. Pattern Recognition, Elsevier, 2018.

6. [Abstract] Efficient and Robust Cell Segmentation in Breast Microscopy Image using Fully Convolutional Neural Network with Multi-Context Aggregation. Xie, Yuanpu, Pingjun Chen, Jinzheng Cai, Fuyong Xing, Lin Yang. Laboratory Investigation, Nature Publishing Group, 2018.

5. [Abstract] Nucleus Detection and Segmentation for Pathology Images Using Deep Convolutional Neural Network and Variational Autoencoder. Hai, Su, Manish Sapkota, Fujun Liu, Jinzheng Cai, Pingjun Chen, Lin Yang. Laboratory Investigation, Nature Publishing Group, 2018.

2017

4. [MICCAI] Improving deep pancreas segmentation in CT and MRI images via recurrent neural contextual learning and direct loss function. Jinzheng Cai, Le Lu, Yuanpu Xie, Fuyong Xing, Lin Yang. [pdf]

2016

3. [MICCAI] Pancreas segmentation in MRI using graph-based decision fusion on convolutional neural networks. Jinzheng Cai, Le Lu, Zizhao Zhang, Fuyong Xing, Lin Yang, Qian Yin. [pubMed], [pdf]

2. [MICCAI] Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation. Xing, Fuyong, Xiaoshuang Shi, Zizhao Zhang, Jinzheng Cai, Yuanpu Xie, and Lin Yang. [pubMed]

1. [ECCV] Kernel-Based Supervised Discrete Hashing for Image Retrieval. Xiaoshuang Shi, Fuyong Xing, Jinzheng Cai, Zizhao Zhang, Yuanpu Xie, Lin Yang. [pdf]

Services

Journal Reviewer


Conference/Workshop Reviewer