Jinzheng Cai

发表

Le Lu, D. Jin, A. P. Harrison, 2020, Artificial Intelligence in Medicine.

Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT

Adam P. Harrison, Jing Xiao, Jinzheng Cai, 2020, IEEE Transactions on Medical Imaging.

Texture analysis for muscular dystrophy classification in MRI with improved class activation mapping

Lin Yang, Fuyong Xing, Fujun Liu, 2019, Pattern Recognit..

Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach

Adam P. Harrison, Le Lu, Yuankai Huo, 2021, PRIME@MICCAI.

Self-learning for face clustering

Zhenhua Guo, Lin Yang, Fuyong Xing, 2018, Pattern Recognit..

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

Dong Yang, Daguang Xu, Lequan Yu, 2020, Medical Image Anal..

Towards cross‐modal organ translation and segmentation: A cycle‐ and shape‐consistent generative adversarial network

Lin Yang, Yefeng Zheng, Lei Cui, 2019, Medical Image Anal..

A Flexible Three-Dimensional Hetero-phase Computed Tomography Hepatocellular Carcinoma (HCC) Detection Algorithm for Generalizable and Practical HCC Screening pdf

Adam P. Harrison, Jing Xiao, Youjing Zheng, 2021, ArXiv.

Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection pdf

Youbao Tang, Le Lu, Jing Xiao, 2021, MICCAI.

Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss

Youbao Tang, Le Lu, Jing Xiao, 2021, MICCAI.

Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies pdf

Adam P. Harrison, Jing Xiao, Jinzheng Cai, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT

Adam P. Harrison, Jing Xiao, Jinzheng Cai, 2020, IEEE Transactions on Medical Imaging.

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

Adam P. Harrison, Ke Yan, Lin Yang, 2020, IEEE Transactions on Medical Imaging.

Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach pdf

Adam P. Harrison, Jing Xiao, Jinzheng Cai, 2020, ArXiv.

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

Adam P. Harrison, Min Sun, Alan Yuille, 2020, MICCAI.

Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets pdf

Adam P. Harrison, Jinzheng Cai, Dakai Jin, 2020, ArXiv.

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

Adam P. Harrison, Alan Yuille, Jinzheng Cai, 2020, ArXiv.

Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

Hai Su, Chunbao Wang, Jinzheng Cai, 2019, Nat. Mach. Intell..

Deep Learning for Fully Automated Prediction of Overall Survival in Patients with Oropharyngeal Cancer Using FDG-PET Imaging

Nai-Ming Cheng, T. Yen, Hung-Ming Wang, 2021, Clinical Cancer Research.

Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

Zizhao Zhang, M. Bui, Lin Yang, 2019, Nature Machine Intelligence.

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

Adam P. Harrison, Junzhou Huang, Jing Xiao, 2020, MICCAI.

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

Le Lu, Lin Yang, Fuyong Xing, 2017, ArXiv.

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

Adam P. Harrison, Junzhou Huang, Jinzheng Cai, 2020, ECCV.

Local and Global Consistency Regularized Mean Teacher for Semi-supervised Nuclei Classification

Lin Yang, Jinzheng Cai, Xiaoshuang Shi, 2019, MICCAI.

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

Adam P. Harrison, Yuankai Huo, Jing Xiao, 2020, ArXiv.

SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images

Adam P. Harrison, Le Lu, Dazhou Guo, 2020, IEEE Transactions on Medical Imaging.

Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks

Le Lu, Lin Yang, Fuyong Xing, 2016, MICCAI.

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

Adam P. Harrison, Jing Xiao, Jinzheng Cai, 2020, MICCAI.

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

Le Lu, Lin Yang, Fuyong Xing, 2018, ArXiv.

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

Dong Yang, Daguang Xu, Holger Roth, 2018, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Integrating 3D Geometry of Organ for Improving Medical Image Segmentation

Daguang Xu, Junzhou Huang, Jinzheng Cai, 2019, MICCAI.

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

Adam P. Harrison, Le Lu, Lin Yang, 2018, MICCAI.

SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images

Adam P. Harrison, Le Lu, Dazhou Guo, 2020, IEEE Transactions on Medical Imaging.

Cascaded coarse-to-fine convolutional neural networks for pericardial effusion localization and segmentation on CT scans

Ronald M. Summers, Jiamin Liu, Mohammadhadi Bagheri, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

A flexible three‐dimensional heterophase computed tomography hepatocellular carcinoma detection algorithm for generalizable and practical screening

Adam P. Harrison, Le Lu, Youbao Tang, 2022, Hepatology communications.

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

Lin Yang, Daguang Xu, Yingda Xia, 2019, MLMI@MICCAI.

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

Youbao Tang, Jing Xiao, Ronald M. Summers, 2018, MLMI@MICCAI.

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

Youbao Tang, Jing Xiao, Ronald M. Summers, 2018, ArXiv.

Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation

Lin Yang, Fuyong Xing, Jinzheng Cai, 2016, MICCAI.