Jinzheng Cai  

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

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 also worked closely with Dr. Le Lu. I obtained my bachelor degree of BME from Fudan University in 2013.

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


[09/2020] One paper is accepted by IEEE Transactions on Medical Imaging.

[08/2020] Three abstracts are accepted by RSNA and ASSLD.

[06/2020] Three papers are accepted to MICCAI'2020 (including two early accepts). Big congratulations to my dear colleagues and collaborators at PAII lab.

[08/2019] Three papers are accepted to MICCAI'2019 and MICCAI-MLMI'2019 (oral).



[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]

[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]

[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]

[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.

[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.

[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.

[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]

[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]

[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]

[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]

[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]

[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]

[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]


Jinzheng Cai, Fuyong Xing, Abhinandan Batra, Fujun Liu, Glenn A. Walter, Krista Vandenborne, Lin Yang: Texture analysis for muscular dystrophy classification in MRI with improved class activation mapping. Pattern Recognition, vol. 86, pp. 368-375, 2019.

Jinzheng Cai*, Zizhao Zhang*, Lei Cui, Yefeng Zheng, Lin Yang: Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network. Medical Image Analysis, vol. 52, pp. 174-184, 2019. (This is a co-first author work.)


Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang: Iterative attention mining for weakly supervised thoracic disease pattern localization in chest X-Rays. MICCAI, 2018.

Jinzheng Cai*, Youbao Tang*, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers: Accurate weakly-supervised deep lesion segmentation using large-scale clinical annotations: Slice-propagated 3d mask generation from 2d RECIST. MICCAI, 2018. (This is a co-first author work.)


Jinzheng Cai, Le Lu, Yuanpu Xie, Fuyong Xing, Lin Yang: Improving deep pancreas segmentation in CT and MRI images via recurrent neural contextual learning and direct loss function. MICCAI, Quebec, Canada, 2017.


Jinzheng Cai, Le Lu, Zizhao Zhang, Fuyong Xing, Lin Yang, Qian Yin: Pancreas segmentation in MRI using graph-based decision fusion on convolutional neural networks. MICCAI, Athens, Greece, 2016.


Journal Reviewer

Conference/Workshop Reviewer