Category-level Regularized Unlabeled-to-labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data

[MICCAI 2023 (Early Accept)] Zhe Xu, Donghuan Lu, Jiangpeng Yan, Jinghan Sun, Jie Luo, Dong Wei, Sarah Frisken, Quanzheng Li, Yefeng Zheng, Raymond Kai-yu Tong

A Model-Agnostic Framework for Universal Anomaly Detection of Multi-Organ and Multi-Modal Images

[MICCAI 2023 (Early Accept)] Yinghao Zhang, Donghuan Lu, Munan Ning, Liansheng Wang, Dong Wei, Yefeng Zheng

You’ve Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray

[MICCAI 2023 (Early Accept)] Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng

MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images

[MICCAI 2023] Hong Wang, Minghao Zhou, Dong Wei, Yuexiang Li, Yefeng Zheng

Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels

[MICCAI 2023] Zhe Xu, Jiangpeng Yan, Donghuan Lu, Yixin Wang, Jie Luo, Yefeng Zheng, Raymond Kai-yu Tong

Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images

[MICCAI 2022] Wenguang Yuan, Donghuan Lu, Dong Wei, Munan Ning, Yefeng Zheng

Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration

[MICCAI 2022] Jiashun Chen, Donghuan Lu, Yu Zhang, Dong Wei, Munan Ning, Xinyu Shi, Zhe Xu, Yefeng Zheng

Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation without Source Data

[MICCAI 2022 (Early Accept)] Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Dong Wei, Yefeng Zheng, Kai-yu Tong

Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration

[MICCAI 2022] Zhe Xu, Jie Luo, Donghuan Lu, Jiangpeng Yan, Sarah Frisken, Jayender Jagadeesan, William Wells III, Xiu Li, Yefeng Zheng, Raymond Tong

Orientation-Shared Convolution Representation for CT Metal Artifact Learning

[MICCAI 2022] Hong Wang, Qi Xie, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng

An Inclusive Task-Aware Framework for Radiology Report Generation

[MICCAI 2022 (Early Accept)] Lin Wang, Munan Ning, Donghuan Lu, Dong Wei, Yefeng Zheng, Jie Chen

mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation

[MICCAI 2022] Yao Zhang, Nanjun He, Jiawei Yang, Yuexiang Li, Dong Wei, Yawen Huang, Yang Zhang, Zhiqiang He, Yefeng Zheng

Point Beyond Class: A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays

[MICCAI 2022] Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng

Lesion Guided Explainable Few Weak-shot Medical Report Generation

[MICCAI 2022] Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng

A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images

[MICCAI 2022] Wentian Zhang, Xu Sun, Yuexiang Li, Haozhe Liu, Feng Liu, Nanjun He, Yefeng Zheng

Aggregative Self-Supervised Feature Learning from Limited Medical Sample

[MICCAI 2022] Jiuwen Zhu, Yuexiang Li, S. Kevin Zhou

Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation

[MICCAI 2021 (Early Accept)] Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jagadeesan Jayender, Kai Ma, Yefeng Zheng, Xiu Li

MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification

[MICCAI 2021 (Early Accept)] Shuang Yu, Kai Ma, Qi Bi, Cheng Bian, Munan Ning, Nanjun He, Yuexiang Li, Hanruo Liu, Yefeng Zheng

Local-global Dual Perception based Deep Multiple Instance Learning for Retinal Disease Classification

[MICCAI 2021 (Early Accept)] Qi Bi, Shuang Yu, Wei Ji, Cheng Bian, Lijun Gong, Hanruo Liu, Kai Ma, Yefeng Zheng

Training Automatic View Planner for Cardiac MR Imaging via Self-Supervision by Spatial Relationship between Views

[MICCAI 2021 (Early Accept)] Dong Wei, Kai Ma, Yefeng Zheng

A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks

[MICCAI 2021 (Early Accept)] Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou

Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading

[MICCAI 2021 (Early Accept)] Yuexiang Li, Yanping Wang, Guang Lin, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Guangming Lu, Zhiqiang Zhang, Yefeng Zheng

Seg4Reg+: A Local and Global Consistency Learning between Spine Segmentation and Cobb Angle Regression

[MICCAI 2021 (Early Accept)] Yi Lin, Luyan Liu, Kai Ma, Yefeng Zheng

Deep Reinforcement Exemplar Learning for Annotation Refinement

[MICCAI 2021 (Early Accept)] Yuexiang Li, Nanjun He, Kai Ma, Yefeng Zheng

Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images

[MICCAI 2021 (Early Accept)] Hong Liu, Dong Wei, Donghuan Lu, Yuexiang Li, Kai Ma, Liansheng Wang, Yefeng Zheng

InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction

[MICCAI 2021] Hong Wang, Yuexiang Li, Haimiao Zhang, Jiawei Chen, Kai Ma, Deyu Meng, Yefeng Zheng

Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification

[MICCAI 2021] Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng

Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation

[IPMI 2021] Munan Ning, Cheng Bian, Dong Wei, Shuang Yu, Chenglang Yuan, Yang Guo, Kai Ma, Yefeng Zheng

Feature Library: A Benchmark for Cervical Lesion Segmentation

[IPMI 2021] Yuexiang Li, Jiawei Chen, Kai Ma, Yefeng Zheng

A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework

[IPMI 2021] Hongyu Zhou, Hualuo Liu, Shilei Cao, Dong Wei, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng

TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification

[MICCAI 2020 (Early Accept)] Wenting Chen, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng

Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications

[MICCAI 2020 (Early Accept)] Lijun Gong, Kai Ma, Yefeng Zheng

GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy

[MICCAI 2020 (Early Accept)] Shaoteng Liu, Lijun Gong, Kai Ma, Yefeng Zheng

Learning and Exploiting Interclass Visual Correlations for Medical Image Classification

[MICCAI 2020 (Early Accept)] Dong Wei, Shilei Cao, Kai Ma, Yefeng Zheng

Superpixel-Guided Label Softening for Medical Image Segmentation

[MICCAI 2020 (Early Accept)] Hang Li, Dong Wei, Shilei Cao, Kai Ma, Liansheng Wang, Yefeng Zheng

Difficulty-aware Glaucoma Classification with Multi-Rater Consensus Modeling

[MICCAI 2020] Shuang Yu, Hong-Yu Zhou, Kai Ma, Cheng Bian, Chunyan Chu, Hanruo Liu, Yefeng Zheng

Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning

[MICCAI 2020] Junde Wu, Shuang Yu, Wenting Chen, Kai Ma, Rao Fu, Hanruo Liu, Xiaoguang Di, Yefeng Zheng

Learning Crisp Edge Detector Logical Refinement Network

[MICCAI 2020] Luyan Liu, Kai Ma, Yefeng Zheng

Instance-Aware Self-supervised Learning for Nuclei Segmentation

[MICCAI 2020] Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng

MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation Using Mutual Information Constraint

[MICCAI 2020] Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng

Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-supervised Medical Image Segmentation

[MICCAI 2020] Yuexiang Li, Jiawei Chen, Xinpeng Xie, Kai Ma, Yefeng Zheng

Revisiting Rubik’s cube: self-supervised learning with volume-wise transformation for 3D medical image segmentation

[MICCAI 2020] Xing Tao, Yuexiang Li, Wenhui Zhou, Kai Ma, Yefeng Zheng

A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation

[MICCAI 2020] Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng

Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations

[MICCAI 2020] Hong-Yu Zhou, Shuang Yu, Cheng Bian, Yifan Hu, Kai Ma, Yefeng Zheng

Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube

[MICCAI 2019] Xinrui Zhuang, Yuexiang Li, Yifan Hu, Kai Ma, Yujiu Yang, Yefeng Zheng

Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network

[MICCAI 2019 (Oral)] Renzhen Wang, Shilei Cao, Kai Ma, Deyu Meng, Yefeng Zheng

Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-scale Booster

[MICCAI 2019] Qingbin Shao, Lijun Gong, Kai Ma, Hualuo Liu, Yefeng Zheng

Multi-task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification

[MICCAI 2019] Wenao Ma, Shuang Yu, Kai Ma, Jiexiang Wang, Xinghao Ding, Yefeng Zheng

Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-scale Booster

[MICCAI 2019] Qingbin Shao, Lijun Gong, Kai Ma, Hualuo Liu, Yefeng Zheng