Efficient Mitosis Detection in Breast Cancer Histology Images by RCNN. - De Cai; Xianhe Sun; Niyun Zhou; Xiao Han 011; Jianhua Yao 001 (ISBI, 2019)

Polyp Tracking in Video Colonoscopy Using Optical Flow With an On-The-Fly Trained CNN. - He Zheng; Hanbo Chen; Junzhou Huang; Xuzhi Li; Xiao Han 011; Jianhua Yao 001 (ISBI, 2019)

Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Slide Image Classifier. - Hanbo Chen; Xiao Han 011; Xinjuan Fan; Xiaoying Lou; Hailing Liu; Junzhou Huang; Jianhua Yao 001 (MICCAI (1), 2019)

SK-Unet: An Improved U-Net Model with Selective Kernel for the Segmentation of Multi-sequence Cardiac MR. - Xiyue Wang; Sen Yang 006; Mingxuan Tang; Yunpeng Wei; Xiao Han 011; Ling He; Jing Zhang 051 (STACOM@MICCAI, 2019)

From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. - Yifan Zhang 004; Hanbo Chen; Ying Wei 001; Peilin Zhao; Jiezhang Cao; Xinjuan Fan; Xiaoying Lou; Hailing Liu; Jinlong Hou; Xiao Han 011; Jianhua Yao 001; Qingyao Wu; et al. (MICCAI (1), 2019)

Enhanced Cycle-Consistent Generative Adversarial Network for Color Normalization of H&E Stained Images. - Niyun Zhou; De Cai; Xiao Han 011; Jianhua Yao 001 (MICCAI (1), 2019)

Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images. - Haocheng Shen; Kuan Tian; Pei Dong; Jun Zhang 018; Kezhou Yan; Shannon Che; Jianhua Yao 001; Pifu Luo; Xiao Han 011 (MICCAI (5), 2020)

Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy. - Kuan Tian; Jun Zhang 018; Haocheng Shen; Kezhou Yan; Pei Dong; Jianhua Yao 001; Shannon Che; Pifu Luo; Xiao Han 011 (MICCAI (5), 2020)

Microscope Based HER2 Scoring System. - Jun Zhang 018; Kuan Tian; Pei Dong; Haocheng Shen; Kezhou Yan; Jianhua Yao 001; Junzhou Huang; Xiao Han 011 (CoRR, 2020)

New Boundary Constraint Loss to Facilitate Glands Segmentation. - Weijia Lu; Jianhua Yao 001; Xiao Han 011; Haocheng Shen (J. Medical Imaging Health Informatics, 2020)

Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring. - Zhen Chen 013; Jun Zhang 018; Shuanlong Che; Junzhou Huang; Xiao Han 011; Yixuan Yuan (AAAI, 2021)

Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-domain Images and Weak Labels. - Siqi Yang 001; Jun Zhang 018; Junzhou Huang; Brian C. Lovell; Xiao Han 011 (AAAI, 2021)

TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification. - Xiyue Wang; Sen Yang 006; Jun Zhang 018; Minghui Wang; Jing Zhang 051; Junzhou Huang; Wei Yang 032; Xiao Han 011 (MICCAI (8), 2021)

Retrospective on the SENSORIUM 2022 competition. - Konstantin F. Willeke; Paul G. Fahey; Mohammad Bashiri; Laura Hansel; Christoph Blessing; Konstantin-Klemens Lurz; Max F. Burg; Santiago A. Cadena; Zhiwei Ding; Kayla Ponder; Taliah Muhammad; Saumil S. Patel; et al. (NeurIPS (Competition and Demos), 2021)

CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning. - Xin Zhang; Zixuan Liu 001; Kaiwen Xiao; Tian Shen; Junzhou Huang; Wei Yang 032; Dimitris Samaras; Xiao Han 011 (CoRR, 2021)

Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers. - Renzhen Wang; De Cai; Kaiwen Xiao; Xixi Jia; Xiao Han 011; Deyu Meng (CoRR, 2021)

A hybrid network for automatic hepatocellular carcinoma segmentation in H&E-stained whole slide images. - Xiyue Wang; Yuqi Fang; Sen Yang 006; Delong Zhu; Minghui Wang; Jing Zhang 051; Kai-Yu Tong; Xiao Han 011 (Medical Image Anal., 2021)

Joint fully convolutional and graph convolutional networks for weakly-supervised segmentation of pathology images. - Jun Zhang 018; Zhiyuan Hua; Kezhou Yan; Kuan Tian; Jianhua Yao 001; Eryun Liu; Mingxia Liu 001; Xiao Han 011 (Medical Image Anal., 2021)

Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification. - Yonghang Guan; Jun Zhang 018; Kuan Tian; Sen Yang 006; Pei Dong; Jinxi Xiang; Wei Yang 032; Junzhou Huang; Yuyao Zhang; Xiao Han 011 (CVPR, 2022)

SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification. - Xiyue Wang; Jinxi Xiang; Jun Zhang 018; Sen Yang 006; Zhongyi Yang; Ming-Hui Wang; Jing Zhang 051; Wei Yang 032; Junzhou Huang; Xiao Han 011 (NeurIPS, 2022)

Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning. - Siteng Chen; Jinxi Xiang; Xiyue Wang; Jun Zhang 018; Sen Yang 006; Junzhou Huang; Wei Yang 032; Junhua Zheng; Xiao Han 011 (CoRR, 2022)

Transformer-based unsupervised contrastive learning for histopathological image classification. - Xiyue Wang; Sen Yang 006; Jun Zhang 018; Minghui Wang; Jing Zhang 051; Wei Yang 032; Junzhou Huang; Xiao Han 011 (Medical Image Anal., 2022)

Automatic Segmentation of Pneumothorax in Chest Radiographs Based on a Two-Stage Deep Learning Method. - Xiyue Wang; Sen Yang 006; Jun Lan; Yuqi Fang; Jianhui He; Minghui Wang; Jing Zhang 051; Xiao Han 011 (IEEE Trans. Cogn. Dev. Syst., 2022)

Knowledge-Based Representation Learning for Nucleus Instance Classification From Histopathological Images. - Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Xiyue Wang; Wei Yang 032; Junzhou Huang; Wenping Wang; Xiao Han 011 (IEEE Trans. Medical Imaging, 2022)

DeepNoise: Signal and Noise Disentanglement Based on Classifying Fluorescent Microscopy Images via Deep Learning. - Sen Yang 006; Tao Shen; Yuqi Fang; Xiyue Wang; Jun Zhang 018; Wei Yang 032; Junzhou Huang; Xiao Han 011 (Genom. Proteom. Bioinform., 2022)

RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning. - Boxuan Zhao; Jun Zhang 018; Deheng Ye; Jian Cao; Xiao Han 011; Qiang Fu 016; Wei Yang 032 (AAAI, 2023)

Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression. - Yue Lv; Jinxi Xiang; Jun Zhang 018; Wenming Yang; Xiao Han 011; Wei Yang 032 (ACM Multimedia, 2023)

Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information. - Kuan Tian; Yonghang Guan; Jinxi Xiang; Jun Zhang 018; Xiao Han 011; Wei Yang 032 (ACM Multimedia, 2023)

Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images. - Jinxi Xiang; Xiyue Wang; Xinran Wang; Jun Zhang 018; Sen Yang 006; Wei Yang 032; Xiao Han 011; Yueping Liu (Comput. Biol. Medicine, 2023)

Federated contrastive learning models for prostate cancer diagnosis and Gleason grading. - Fei Kong; Jinxi Xiang; Xiyue Wang; Xinran Wang; Meng Yue; Jun Zhang 018; Sen Yang 006; Junhan Zhao; Xiao Han 011; Yuhan Dong; Yueping Liu (CoRR, 2023)

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models. - Hu Ye; Jun Zhang 018; Sibo Liu; Xiao Han 011; Wei Yang 032 (CoRR, 2023)

Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models. - Fei Shen; Hu Ye; Jun Zhang 018; Cong Wang 034; Xiao Han 011; Wei Yang 032 (CoRR, 2023)

Effortless Cross-Platform Video Codec: A Codebook-Based Method. - Kuan Tian; Yonghang Guan; Jinxi Xiang; Jun Zhang 018; Xiao Han 011; Wei Yang 032 (CoRR, 2023)

Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach. - Feng Luo; Jinxi Xiang; Jun Zhang 018; Xiao Han 011; Wei Yang 032 (CoRR, 2023)

RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval. - Xiyue Wang; Yuexi Du; Sen Yang 006; Jun Zhang 018; Minghui Wang; Jing Zhang 051; Wei Yang 032; Junzhou Huang; Xiao Han 011 (Medical Image Anal., 2023)

A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images. - Xiyue Wang; Jun Zhang 018; Sen Yang 006; Jingxi Xiang; Feng Luo; Minghui Wang; Jing Zhang 051; Wei Yang 032; Junzhou Huang; Xiao Han 011 (Medical Image Anal., 2023)

Merging nucleus datasets by correlation-based cross-training. - Wenhua Zhang; Jun Zhang 018; Xiyue Wang; Sen Yang 006; Junzhou Huang; Wei Yang 032; Wenping Wang; Xiao Han 011 (Medical Image Anal., 2023)

RLTF: Reinforcement Learning from Unit Test Feedback. - Jiate Liu; Yiqin Zhu; Kaiwen Xiao; Qiang Fu 016; Xiao Han 011; Wei Yang 032; Deheng Ye (Trans. Mach. Learn. Res., 2023)

CLC-Net: Contextual and local collaborative network for lesion segmentation in diabetic retinopathy images. - Xiyue Wang; Yuqi Fang; Sen Yang 006; Delong Zhu; Minghui Wang; Jing Zhang 051; Jun Zhang 018; Jun Cheng 003; Kai-Yu Tong; Xiao Han 011 (Neurocomputing, 2023)

Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models. - Fei Shen; Hu Ye; Jun Zhang 018; Cong Wang 034; Xiao Han 011; Yang Wei (ICLR, 2024)

VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation. - Jinxi Xiang; Ricong Huang; Jun Zhang 018; Guanbin Li; Xiao Han 011; Yang Wei (ICLR, 2024)

Ensembling Diffusion Models via Adaptive Feature Aggregation. - Cong Wang 034; Kuan Tian; Yonghang Guan; Jun Zhang 018; Zhiwei Jiang 001; Fei Shen; Xiao Han 011; Qing Gu 001; Wei Yang 032 (CoRR, 2024)

V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation. - Cong Wang 034; Kuan Tian; Jun Zhang 018; Yonghang Guan; Feng Luo; Fei Shen; Zhiwei Jiang 001; Qing Gu 001; Xiao Han 011; Wei Yang 032 (CoRR, 2024)

Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models. - Fei Shen; Hu Ye; Sibo Liu; Jun Zhang 018; Cong Wang 034; Xiao Han 011; Wei Yang 032 (CoRR, 2024)

Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models. - Fei Shen; Hu Ye; Sibo Liu; Jun Zhang 018; Cong Wang 034; Xiao Han 011; Yang Wei (AAAI, 2025)