Random Faces Guided Sparse Many-to-One Encoder for Pose-Invariant Face Recognition. - Yizhe Zhang 001; Ming Shao; Edward K. Wong; Yun Fu 001 (ICCV, 2013)

A seeding-searching-ensemble method for gland segmentation and detection. - Yizhe Zhang 001; Lin Yang 003; John D. MacKenzie; Rageshree Ramachandran; Danny Z. Chen (BIBM, 2015)

Segmenting subcellular structures in histology tissue images. - Jiazhuo Wang; John D. MacKenzie; Rageshree Ramachandran; Yizhe Zhang 001; Haitao Wang 001; Danny Ziyi Chen (ISBI, 2015)

Fast Background Removal in 3D Fluorescence Microscopy Images Using One-Class Learning. - Lin Yang 003; Yizhe Zhang 001; Ian H. Guldner; Siyuan Zhang; Danny Z. Chen (MICCAI (3), 2015)

Coarse-to-Fine Stacked Fully Convolutional Nets for lymph node segmentation in ultrasound images. - Yizhe Zhang 001; Michael T. C. Ying; Lin Yang 003; Anil T. Ahuja; Danny Z. Chen (BIBM, 2016)

3D Segmentation of Glial Cells Using Fully Convolutional Networks and k-Terminal Cut. - Lin Yang 003; Yizhe Zhang 001; Ian H. Guldner; Siyuan Zhang; Danny Z. Chen (MICCAI (2), 2016)

Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation. - Jianxu Chen 001; Lin Yang 003; Yizhe Zhang 001; Mark S. Alber; Danny Ziyi Chen (NIPS, 2016)

A seeding-searching-ensemble method for gland segmentation in H&E-stained images. - Yizhe Zhang 001; Lin Yang 003; John D. MacKenzie; Rageshree Ramachandran; Danny Z. Chen (BMC Medical Informatics Decis. Mak., 2016)

Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation. - Lin Yang 003; Yizhe Zhang 001; Jianxu Chen 001; Siyuan Zhang; Danny Z. Chen (MICCAI (3), 2017)

Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images. - Yizhe Zhang 001; Lin Yang 003; Jianxu Chen 001; Maridel Fredericksen; David P. Hughes; Danny Z. Chen (MICCAI (3), 2017)

A new registration approach for dynamic analysis of calcium signals in organs. - Peixian Liang; Jianxu Chen 001; Pavel A. Brodskiy; Qinfeng Wu; Yejia Zhang; Yizhe Zhang 001; Lin Yang 003; Jeremiah J. Zartman; Danny Z. Chen (ISBI, 2018)

BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation. - Lin Yang 003; Yizhe Zhang 001; Zhuo Zhao; Hao Zheng 006; Peixian Liang; Michael T. C. Ying; Anil T. Ahuja; Danny Z. Chen (CoRR, 2018)

Collaborative Random Faces-Guided Encoders for Pose-Invariant Face Representation Learning. - Ming Shao; Yizhe Zhang 001; Yun Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Biomedical Image Segmentation via Representative Annotation. - Hao Zheng 006; Lin Yang 003; Jianxu Chen 001; Jun Han 010; Yizhe Zhang 001; Peixian Liang; Zhuo Zhao; Chaoli Wang 001; Danny Z. Chen (AAAI, 2019)

A New Ensemble Learning Framework for 3D Biomedical Image Segmentation. - Hao Zheng 006; Yizhe Zhang 001; Lin Yang 003; Peixian Liang; Zhuo Zhao; Chaoli Wang 001; Danny Z. Chen (AAAI, 2019)

Second-Order Non-Local Attention Networks for Person Re-Identification. - Bryan Bryan; Yuan Gong 001; Yizhe Zhang 001; Christian Poellabauer (ICCV, 2019)

Cascade Decoder: A Universal Decoding Method For Biomedical Image Segmentation. - Peixian Liang; Jianxu Chen 001; Hao Zheng 006; Lin Yang 003; Yizhe Zhang 001; Danny Z. Chen (ISBI, 2019)

Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images. - Yizhe Zhang 001; Michael T. C. Ying; Danny Z. Chen (MICCAI (2), 2019)

HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion. - Hao Zheng 006; Lin Yang 003; Jun Han 010; Yizhe Zhang 001; Peixian Liang; Zhuo Zhao; Chaoli Wang 001; Danny Z. Chen (MICCAI (2), 2019)

SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation. - Yizhe Zhang 001; Lin Yang 003; Hao Zheng 006; Peixian Liang; Colleen Mangold; Raquel G. Loreto; David P. Hughes; Danny Z. Chen (MIDL, 2019)

Second-order Non-local Attention Networks for Person Re-identification. - Bryan (Ning) Xia; Yuan Gong 001; Yizhe Zhang 001; Christian Poellabauer (CoRR, 2019)

An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training. - Hao Zheng 006; Yizhe Zhang 001; Lin Yang 003; Chaoli Wang 001; Danny Z. Chen (AAAI, 2020)

Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation. - Hongxiao Wang; Hao Zheng 006; Jianxu Chen 001; Lin Yang 003; Yizhe Zhang 001; Danny Z. Chen (BIBM, 2020)

InTracker: An Integrated Detector-Tracker Framework for Cell Detection and Tracking. - Peixian Liang; Jianxu Chen 001; Yizhe Zhang 001; Hongxiao Wang; Hao Zheng 006; Pengfei Gu; Danny Ziyi Chen (CBMS, 2020)

A Coarse-to-Fine Data Generation Method for 2D and 3D Cell Nucleus Segmentation. - Zhuo Zhao; Hongxiao Wang; Yizhe Zhang 001; Hao Zheng 006; Siyuan Zhang; Danny Ziyi Chen (CBMS, 2020)

Structured Convolutions for Efficient Neural Network Design. - Yash Bhalgat; Yizhe Zhang 001; Jamie Menjay Lin; Fatih Porikli (NeurIPS, 2020)

A Cross-Domain Metal Trace Restoring Network for Reducing X-Ray CT Metal Artifacts. - Chengtao Peng; Bin Li 025; Peixian Liang; Jian Zheng 001; Yizhe Zhang 001; Bensheng Qiu; Danny Z. Chen (IEEE Trans. Medical Imaging, 2020)

AntVis: A web-based visual analytics tool for exploring ant movement data. - Tianxiao Hu; Hao Zheng 006; Chen Liang; Sirou Zhu; Natalie Imirzian; Yizhe Zhang 001; Chaoli Wang 001; David P. Hughes; Danny Z. Chen (Vis. Informatics, 2020)

HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation. - Shubhankar Borse; Hong Cai; Yizhe Zhang 001; Fatih Porikli (BMVC, 2021)

X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task Distillation. - Hong Cai; Janarbek Matai; Shubhankar Borse; Yizhe Zhang 001; Amin Ansari; Fatih Porikli (BMVC, 2021)

InverseForm: A Loss Function for Structured Boundary-Aware Segmentation. - Shubhankar Borse; Ying Wang 051; Yizhe Zhang 001; Fatih Porikli (CVPR, 2021)

kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation. - Pengfei Gu; Hao Zheng 006; Yizhe Zhang 001; Chaoli Wang 001; Danny Z. Chen (MICCAI (1), 2021)

Real-Time, Accurate, and Consistent Video Semantic Segmentation via Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device. - Hyojin Park 004; Alan Yessenbayev; Tushar Singhal; Navin Kumar Adhikari; Yizhe Zhang 001; Shubhankar Mangesh Borse; Hong Cai; Frank Mayer; Balaji Calidas; Nilesh Prasad Pandey; Fei Yin; Fatih Porikli (CVPR, 2022)

Data-Driven Deep Supervision for Skin Lesion Classification. - Suraj Mishra; Yizhe Zhang 001; Li Zhang 021; Tianyu Zhang 001; X. Sharon Hu; Danny Z. Chen (MICCAI (1), 2022)

Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models. - Yizhe Zhang 001; Suraj Mishra; Peixian Liang; Hao Zheng 006; Danny Z. Chen (MICCAI (5), 2022)

AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation. - Yizhe Zhang 001; Shubhankar Borse; Hong Cai; Fatih Porikli (WACV, 2022)

Perceptual Consistency in Video Segmentation. - Yizhe Zhang 001; Shubhankar Borse; Hong Cai; Ying Wang 051; Ning Bi; Xiaoyun Jiang; Fatih Porikli (WACV, 2022)

EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset). - Haoran Wang 009; Yan Zhu; Wenzheng Qin; Yizhe Zhang 001; Pinghong Zhou; Quanlin Li; Shuo Wang 011; Zhijian Song (CoRR, 2022)

H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation. - Peixian Liang; Yizhe Zhang 001; Yifan Ding; Jianxu Chen 001; Chinedu S. Madukoma; Tim Weninger; Joshua D. Shrout; Danny Z. Chen (IEEE Trans. Medical Imaging, 2022)

Data-Driven Deep Supervision for Medical Image Segmentation. - Suraj Mishra; Yizhe Zhang 001; Danny Z. Chen; X. Sharon Hu (IEEE Trans. Medical Imaging, 2022)

MLMSA: Multi-Level and Multi-Scale Attention for Lesion Detection in Endoscopy. - Zhang Zhang; Xizhe Wang; Shuijiao Chen; Xiaowei Liu; Qilei Chen; Yizhe Zhang 001; Yu Cao 002; Benyuan Liu (HealthCom, 2023)

GrNT: Gate-Regularized Network Training for Improving Multi-Scale Fusion in Medical Image Segmentation. - Yizhe Zhang 001; Pengfei Gu; Yejia Zhang; Chaoli Wang 001; Danny Z. Chen (ISBI, 2023)

GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as a Plug-and-Play Transductive Model for Medical Image Analysis. - Yizhe Zhang 001; Danny Z. Chen (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification. - Yizhe Zhang 001; Shuo Wang 011; Yejia Zhang; Danny Z. Chen (UNSURE@MICCAI, 2023)

Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model. - Yizhe Zhang 001; Tao Zhou 002; Shuo Wang 011; Peixian Liang; Yejia Zhang; Danny Z. Chen (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

GPT4MIA: Utilizing Geneative Pre-trained Transformer (GPT-3) as A Plug-and-Play Transductive Model for Medical Image Analysis. - Yizhe Zhang 001; Danny Z. Chen (CoRR, 2023)

Can SAM Segment Polyps? - Tao Zhou 002; Yizhe Zhang 001; Yi Zhou 007; Ye Wu 001; Chen Gong 002 (CoRR, 2023)

Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model. - Yizhe Zhang 001; Tao Zhou 002; Peixian Liang; Danny Z. Chen (CoRR, 2023)

SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation. - Yizhe Zhang 001; Tao Zhou 002; Shuo Wang 011; Ye Wu 001; Pengfei Gu; Danny Z. Chen (CoRR, 2023)

Knowledge Extraction and Distillation from Large-Scale Image-Text Colonoscopy Records Leveraging Large Language and Vision Models. - Shuo Wang 011; Yan Zhu; Xiaoyuan Luo; Zhiwei Yang; Yizhe Zhang 001; Peiyao Fu; Manning Wang; Zhijian Song; Quanlin Li; Pinghong Zhou; Yike Guo (CoRR, 2023)

Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation. - Yiming Zhao; Tao Zhou 002; Yunqi Gu; Yi Zhou 007; Yizhe Zhang 001; Ye Wu 001; Huazhu Fu (CoRR, 2023)

SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model. - Yizhe Zhang 001; Shuo Wang 011; Tao Zhou 002; Qi Dou 001; Danny Z. Chen (CoRR, 2023)

Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation. - Yunqi Gu; Tao Zhou 002; Yizhe Zhang 001; Yi Zhou 007; Kelei He; Chen Gong 002; Huazhu Fu (CoRR, 2023)

LAGAN: Lesion-Aware Generative Adversarial Networks for Edema Area Segmentation in SD-OCT Images. - Yuhui Tao; Xiao Ma 011; Yizhe Zhang 001; Kun Huang; Zexuan Ji; Wen Fan 003; Songtao Yuan; Qiang Chen 004 (IEEE J. Biomed. Health Informatics, 2023)

Flexible Fusion Network for Multi-Modal Brain Tumor Segmentation. - Hengyi Yang; Tao Zhou 002; Yi Zhou 007; Yizhe Zhang 001; Huazhu Fu (IEEE J. Biomed. Health Informatics, 2023)

Boosting Medical Image Classification with Segmentation Foundation Model. - Pengfei Gu; Zihan Zhao; Hongxiao Wang; Yaopeng Peng; Yizhe Zhang 001; Nishchal Sapkota; Chaoli Wang 001; Danny Z. Chen (ISBI, 2024)

SMNET: A Spherical Mean Network for Probing Tissue Microarchitecture from Single-Shell DMRI. - Ye Wu 001; Yue Ding; Xiaoming Liu; Jiaolong Qin; Yizhe Zhang 001; Yoonmi Hong; Tao Zhou 002 (ISBI, 2024)

Adaptify: A Refined Test-Time Adaptation Scheme for Frame Classification Consistency in Atrophic Gastritis Videos. - Zinan Xiong; Shuijiao Chen; Yizhe Zhang 001; Yu Cao 002; Benyuan Liu; Xiaowei Liu (ISBI, 2024)

Transduction Enhanced Inductive Inference for Imbalanced Classification in Medical Images. - Yizhe Zhang 001; Tao Zhou 002; Ye Wu 001; Shuo Wang 011; Danny Z. Chen (ISBI, 2024)

An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation. - Qing Li 001; Yizhe Zhang 001; Yan Li 064; Jun Lyu; Meng Liu; Longyu Sun; Mengting Sun; Qirong Li; Wenyue Mao; Xinran Wu; Yajing Zhang; Yinghua Chu; et al. (MICCAI (12), 2024)

EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis. - Ruijie Yang; Yan Zhu; Peiyao Fu; Yizhe Zhang 001; Zhihua Wang 008; Quanlin Li; Pinghong Zhou; Xian Yang 001; Shuo Wang 011 (MICCAI (10), 2024)

Holistic Consistency for Subject-Level Segmentation Quality Assessment in Medical Image Segmentation. - Yizhe Zhang 001; Tao Zhou 002; Qiang Chen 004; Qi Dou 001; Shuo Wang 011 (UNSURE@MICCAI, 2024)

TextPolyp: Point-Supervised Polyp Segmentation with Text Cues. - Yiming Zhao; Yi Zhou 007; Yizhe Zhang 001; Ye Wu 001; Tao Zhou 002 (MICCAI (11), 2024)

Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation. - Yizhe Zhang 001; Tao Zhou 002; Ye Wu 001; Pengfei Gu; Shuo Wang 011 (PRCV (14), 2024)

Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation. - Tianyu Huang; Tao Zhou 002; Weidi Xie; Shuo Wang 011; Qi Dou 001; Yizhe Zhang 001 (CoRR, 2024)

Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation. - Pengfei Gu; Yejia Zhang; Huimin Li; Hongxiao Wang; Yizhe Zhang 001; Chaoli Wang 001; Danny Z. Chen (CoRR, 2024)

Test-Time Generative Augmentation for Medical Image Segmentation. - Xiao Ma 011; Yuhui Tao; Yuhan Zhang 001; Zexuan Ji; Yizhe Zhang 001; Qiang Chen 004 (CoRR, 2024)

Adaptify: A Refined Adaptation Scheme for Frame Classification in Atrophic Gastritis Videos. - Zinan Xiong; Shuijiao Chen; Yizhe Zhang 001; Yu Cao 002; Benyuan Liu; Xiaowei Liu (CoRR, 2024)

Towards Ground-truth-free Evaluation of Any Segmentation in Medical Images. - Ahjol Senbi; Tianyu Huang; Fei Lyu 004; Qing Li 001; Yuhui Tao; Wei Shao; Qiang Chen 004; Chengyan Wang; Shuo Wang 011; Tao Zhou 002; Yizhe Zhang 001 (CoRR, 2024)

TestFit: A plug-and-play one-pass test time method for medical image segmentation. - Yizhe Zhang 001; Tao Zhou 002; Yuhui Tao; Shuo Wang 011; Ye Wu 001; Benyuan Liu; Pengfei Gu; Qiang Chen 004; Danny Z. Chen (Medical Image Anal., 2024)

Discrepancy-Induced Cross-Subnet Interaction Network for Semi-Supervised Medical Image Segmentation. - Chenqi Wang; Kaiwen Huang; Chijin Yu; Yizhe Zhang 001; Tao Zhou 002 (ISBI, 2025)

WeakPolyp-SAM: Segment Anything Model-driven weakly-supervised polyp segmentation. - Yiming Zhao; Tao Zhou 002; Yunqi Gu; Yi Zhou 007; Yizhe Zhang 001; Ye Wu 001; Huazhu Fu (Knowl. Based Syst., 2025)

Dual-scale enhanced and cross-generative consistency learning for semi-supervised medical image segmentation. - Yunqi Gu; Tao Zhou 002; Yizhe Zhang 001; Yi Zhou 007; Kelei He; Chen Gong 002; Huazhu Fu (Pattern Recognit., 2025)

A survey on deep learning for polyp segmentation: techniques, challenges and future trends. - Jiaxin Mei; Tao Zhou 002; Kaiwen Huang; Yizhe Zhang 001; Yi Zhou 007; Ye Wu 001; Huazhu Fu (Vis. Intell., 2025)

Edge-aware Feature Aggregation Network for Polyp Segmentation. - Tao Zhou 002; Yizhe Zhang 001; Geng Chen 001; Yi Zhou 007; Ye Wu 001; Deng-Ping Fan (Mach. Intell. Res., 2025)

Learnable Prompting SAM-Induced Knowledge Distillation for Semi-Supervised Medical Image Segmentation. - Kaiwen Huang; Tao Zhou 002; Huazhu Fu; Yizhe Zhang 001; Yi Zhou 007; Chen Gong 002; Dong Liang 001 (IEEE Trans. Medical Imaging, 2025)

Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation. - Kaiwen Huang; Yi Zhou 007; Huazhu Fu; Yizhe Zhang 001; Chen Gong 002; Tao Zhou 002 (CoRR, 2025)

EndoFinder: Online Lesion Retrieval for Explainable Colorectal Polyp Diagnosis Leveraging Latent Scene Representations. - Ruijie Yang; Yan Zhu; Peiyao Fu; Yizhe Zhang 001; Zhihua Wang 008; Quanlin Li; Pinghong Zhou; Xian Yang 001; Shuo Wang 011 (CoRR, 2025)

Frequency-Aware Interaction Network for Ultrasound Image Segmentation. - Dongfang Wang; Tao Zhou 002; Yizhe Zhang 001; Shangbing Gao; Jian Yang 003 (IEEE Trans. Circuits Syst. Video Technol., 2025)