Affine Collaborative Normalization: A shortcut for adaptation in medical image analysis

[Pattern Recognition 2024 (IF=8.0)] Chuyan Zhang, Yuncheng Yang, Hao Zheng, Yawen Huang, Yefeng Zheng, Yun Gu

Multi-Constraint Transferable Generative Adversarial Networks for Cross-Modal Brain Image Synthesis

[IJCV 2024 (IF=11.6)] Yawen Huang, Hao Zheng, Yuexiang Li, Feng Zheng, Xiantong Zhen, GuoJun Qi, Ling Shao & Yefeng Zheng

LENAS: Learning-Based Neural Architecture Search and Ensemble for 3-D Radiotherapy Dose Prediction

[IEEE Transactions on Cybernetics 2024 (IF=9.4)] Yi Lin, Yanfei Liu, Hao Chen, Xin Yang, Kai Ma, Yefeng Zheng, and Kwang-Ting Cheng

Self-Supervised Learning for Medical Image Data with Anatomy-Oriented Imaging Planes

[Medical Image Analysis 2024 (IF=10.9)] Tianwei Zhang, Dong Wei, Mengmeng Zhu, Shi Gu, Yefeng Zheng

Triplet-Branch Network with Contrastive Prior-Knowledge Embedding for Disease Grading

[Artificial Intelligence in Medicine 2024 (IF=7.5)] Yuexiang Li, Yanping Wang, Guang Lin, Yawen Huang, Jingxin Liu, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Zhiqiang Zhang, Guangming Lu, Yefeng Zheng

Wearable-based behaviour interpolation for semi-supervised human activity recognition

[Information Sciences 2024 (IF=8.1)] Haoran Duan, Shidong Wang, Varun Ojha, Shizheng Wang, Yawen Huang, Yang Long, Rajiv Ranjan, Yefeng Zheng

Hybrid Unsupervised Representation Learning and Pseudo-Label Supervised Self-Distillation for Rare Disease Classification with Dispersion-Aware Imbalance Correction

[Medical Image Analysis 2024 (IF=10.9)] Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng

Separated Collaborative Learning for Semi-supervised Prostate Segmentation with Multi-site Heterogeneous Unlabeled MRI Data

[Medical Image Analysis 2024 (IF=10.9)] Zhe Xu, Donghuan Lu, Jie Luo, Yefeng Zheng, Raymond Tong

Cross-Modal Vertical Federated Learning for MRI Reconstruction

[IEEE JBHI 2024 (IF=7.021)] Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yong Xu, Yuexiang Li, Yefeng Zheng

Adversarial Medical Image with Hierarchical Feature Hiding

[IEEE TMI 2024 (IF=10.6)] Q. Yao, Z. He, Y. Li, K. Ma, Y. Zheng, and S. K. Zhou

Large Language Models Leverage External Knowledge to Extend Clinical Insight Beyond Language Boundaries

[JAMIA 2024 (IF=7.942)] Jiageng Wu, Xian Wu, Zhaopeng Qiu, Minghui Li, Shixu Lin, Yingying Zhang, Yefeng Zheng, Changzheng Yuan, Jie Yang

Acquiring New Knowledge Without Losing Old Ones for Effective Continual Dialogue Policy Learning

[IEEE TKDE 2024 (IF=9.235)] Huimin Wang, Yunyan Zhang, Yifan Yang, Yefeng Zheng, Kam-Fai Wong

Distributional Fairness-aware Recommendation

[ACM TOIS 2024 (IF=4.797)] Hao Yang, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen

MIL-ViT: A Multiple Instance Vision Transformer for Fundus Image Classification

[JVCIR 2023 (IF=2.887)] Qi Bi, Xu Sun, Shuang Yu, Kai Ma, Cheng Bian, Munan Ning, Nanjun He, Yawen Huang, Yuexiang Li, Hanruo Liu, Yefeng Zheng

Unraveling Complexity: An Exploration into the Large-Scale Multi-Modal Signal Processing

[IEEE Transactions on Intelligent Systems 2023 (IF=0.0)] Z. Wen, Y. Ye, J. Su, T. Li, J. Wan, S. Zheng, Z. Hong, S. He, H. Duan, Y. Li, Y. Huang and Y. Zheng

A Structure-aware Hierarchical Graph-based Multiple Instance Learning Framework for pT Staging in Histopathological Image

[IEEE TMI 2023 (IF=10.6)] Jiangbo Shi, Lufei Tang, Yang Li, Xianli Zhang, Zeyu Gao, Yefeng Zheng, Chunbao Wang, Tieliang Gong, Chen Li

Explainable Continual Segmentation across Multiple Sites via Comprehensive Importance-based Selective Regularization

[IEEE TMI 2023 (IF=10.6)] J. Zhang, R. Gu, P. Xue, H. Zheng, Y. Zheng, M. Liu, G. Wang, L. Ma, and L. Gu

MRL-Seg: Overcoming Imbalance in Medical Image Segmentation with Multi-Step Reinforcement Learning

[IEEE JBHI 2023 (IF=7.021)] Feiyang Yang; Xiongfei Li; Haoran Duan; Feilong Xu; Yawen Huang; Xiaoli Zhang; Yang Long; Yefeng Zheng

Anomaly detection via gating highway connection for retinal fundus images

[Pattern Recognition 2023 (IF=8.0)] Wentian Zhang, Haozhe Liu, Jinheng Xie, Yawen Huang, Yu Zhang, Yuexiang Li, Raghavendra Ramachandra, Yefeng Zheng

Attention Cycle-consistent universal network for More Universal Domain Adaptation

[Pattern Recognition 2023 (IF=8.0)] Ziyun Cai, Yawen Huang, Tengfei Zhang, Xiao-Yuan Jing, Yefeng Zheng, Ling Shao

A Semi-Supervised Multi-Task Learning Framework for Cancer Classification with Weak Annotation in Whole-Slide Images

[Medical Image Analysis 2023 (IF=10.9)] Zeyu Gao, Bangyang Hong, Yang Li, Xianli Zhang, Jialun Wu, Chunbao Wang, Xiangrong Zhang, Tieliang Gong, Yefeng Zheng, Deyu Meng, Chen Li

Simultaneous alignment and surface regression using hybrid 2D–3D networks for 3D coherent layer segmentation of retinal OCT images with full and sparse annotations

[Medical Image Analysis 2023 (IF=10.9)] Hong Liu, Dong Wei, Donghuan Lu, Xiaoying Tang, Liansheng Wang, Yefeng Zheng

A deep weakly semi-supervised framework for endoscopic lesion segmentation

[Medical Image Analysis 2023 (IF=10.9)] Yuxuan Shi, Hong Wang, Haoqin Ji, Haozhe Liu, Yuexiang Li, Nanjun He, Dong Wei, Yawen Huang, Qi Dai, Jianrong Wu, Xinrong Chen, Yefeng Zheng, Hongmeng Yu

Cross-Modality Neuroimage Synthesis: A Survey

[ACM Computing Surveys 2023 (IF=16.6)] Guoyang Xie, Yawen Huang, Jinbao Wang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin

OSCNet: Orientation-Shared Convolutional Network for CT Metal Artifact Learning

[IEEE TMI 2023 (IF=10.6)] Hong Wang; Qi Xie; Dong Zeng; Jianhua Ma; Deyu Meng; Yefeng Zheng

Automatic view plane prescription for cardiac magnetic resonance imaging via supervision by spatial relationship between views

[Medical Physics 2023 (IF=3.8)] Dong Wei, Yawen Huang, Donghuan Lu, Yuexiang Li, Yefeng Zheng

MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation

[IEEE TPAMI 2023 (IF=23.6)] Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan

Improving Medical Vision-Language Contrastive Pretraining with Semantics-aware Triage

[IEEE TMI 2023 (IF=10.6)] Bo Liu; Donghuan Lu; Dong Wei; Xian Wu; Yan Wang; Yu Zhang; Yefeng Zheng

DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume

[IEEE Transactions on Circuits and Systems for Video Technology 2023 (IF=8.4)] Xingyu Miao; Yang Bai; Haoran Duan; Yawen Huang; Fan Wan; Xinxing Xu; Yang Long; Yefeng Zheng

Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation

[Medical Image Analysis 2023 (IF=10.9)] Zhe Xu, Yixin Wang, Donghuan Lu, Xiangde Luo, Jiangpeng Yan, Yefeng Zheng, Raymond Kai-yu Tong

Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training

[Medical Image Analysis 2023 (IF=10.9)] Yi Lin, Zhiyong Qu, Hao Chen, Zhongke Gao, Yuexiang Li, Lili Xia, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng

FedMed-GAN: Federated Domain Translation on Unsupervised Cross-Modality Brain Image Synthesis

[Neurocomputing 2023 (IF=5.8)] Jinbao Wang, Guoyang Xie, Yawen Huang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin

Learning from multiple annotators for medical image segmentation

[Pattern Recognition 2023 (IF=8.518)] Le Zhang, Ryutaro Tanno , Moucheng Xu, Yawen Huang, Kevin Bronik, Chen Jin, Joseph Jacob, Yefeng Zheng, Ling Shao, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander

Blind Super-Resolution of 3D MRI via Unsupervised Domain Transformation

[IEEE JBHI 2023 (IF=7.0)] Hexiang Zhou, Yawen Huang, Yuexiang Li, Yi Zhou, and Yefeng Zheng

InDuDoNet+: A Deep Unfolding Dual Domain Network for Metal Artifact Reduction in CT Images

[Medical Image Analysis 2023 (IF=13.8)] Hong Wang, Yuexiang Li, Haimiao Zhang, Deyu Meng, Yefeng Zheng

RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining

[IEEE Transactions on Neural Networks and Learning Systems 2023 (IF=14.3)] Hong Wang, Qi Xie, Qian Zhao, Yuexiang Li, Yong Liang, Yefeng Zheng, Deyu Meng

Deep Learning-based Detection and Grading Models for Lower Limb Fatigue Fracture on Radiographs

[European Radiology 2023 (IF=7.034)] Y. Wang, Y. Li, G. Lin, Q. Zhang, J. Zhong, Y. Zhang, K. Ma, Y. Zheng, G. Lu, and Z. Zhang

Emerging Drug Interaction Prediction Enabled by Flow-based Graph Neural Network with Biomedical Network

[Nature Computational Science 2023 (IF=11.3)] Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng

A Medical Multimodal Large Language Model for Future Pandemics

[npj Digital Medicine 2023 (IF=15.357)] Fenglin Liu, Tingting Zhu, Xian Wu, Bang Yang, Chenyu You, Chenyang Wang, Lei Lu, Zhangdaihong Liu, Yefeng Zheng, Xu Sun, Yang Yang, Lei Clifton and David A. Clifton

Probing the Impacts of Visual Context in Multimodal Entity Alignment

[DSE 2023 (IF=4.2)] Meng Wang, Yinghui Shi, Han Yang, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng

Conditional Cross-Platform User Engagement Prediction

[ACM TOIS 2023 (IF=4.797)] Xinhang Li, Zhaopeng Qiu, Jiacheng Jiang, Yong Zhang, Chunxiao Xing, Xian Wu

The Medical Segmentation Decathlon

[Nature Communications 2022 (IF=16.6)] Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick F. Christ, Richard K. G. Do, Marc J. Gollub, Stephan H. Heckers, Henkjan Huisman, William R. Jarnagin, Maureen K. McHugo, Sandy Napel, Jennifer S. Golia Pernicka, Kawal Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sebastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Ildoo Kim, Klaus Maier-Hein, Dorit Merhof, Akshay Pai, Beomhee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein & M. Jorge Cardoso

Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast

[IEEE TMI 2022 (IF=10.6)] Zeyu Gao, Chang Jia, Yang Li, Xianli Zhang, Bangyang Hong, Jialun Wu, Tieliang Gong, Chunbao Wang, Deyu Meng, Yefeng Zheng, Chen Li

Automatic Quantification of Retinal Photoreceptor Integrity to Predict Persistent Disease Activity in Neovascular Age-related Macular Degeneration using Deep Learning

[Frontiers in Neuroscience 2022 (IF=6.8)] Xian Song, Qian Xu, Haiming Li, Qian Fan, Yefeng Zheng, Qiang Zhang, Chunyan Chu, Zhicheng Zhang, Chenglang Yuan, Munan Ning, Cheng Bian, Kai Ma, Yi Qu

The effectiveness of artificial intelligence-based automated grading and training system in education of manual detection of diabetic retinopathy

[Frontiers in Public Health 2022 (IF=6.461)] Xu Qian, Han Jingying, Song Xian, Zhao Yuqing, Wu Lili, Chu Baorui, Guo Wei, Zheng Yefeng, Zhang Qiang, Chu Chunyan, Bian Cheng, Ma Kai and Qu Yi

Cross-Domain Gated Learning for Domain Generalization

[IJCV 2022 (IF=13.369)] Dapeng Du, Jiawei Chen, Yuexiang Li, Kai Ma, Gangshan Wu, Yefeng Zheng & Limin Wang

Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training

[IEEE TMI 2022 (IF=11.037)] Qingsong Xie; Yuexiang Li; Nanjun He; Munan Ning; Kai Ma; Guoxing Wang; Yong Lian; Yefeng Zheng

mBrainAligner-Web: a web server for cross-modal coherent registration of whole mouse brains

[Bioinformatics 2022 (IF=6.937)] Yuanyuan Li, Jun Wu, Donghuan Lu, Chao Xu, Yefeng Zheng, Hanchuan Peng, Lei Qu

Lower-extremity fatigue fracture detection and grading based on deep learning models of radiographs

[European Radiology 2022 (IF=7.034)] Yanping Wang, Yuexiang Li, Guang Lin, Qirui Zhang, Jing Zhong, Yan Zhang, Kai Ma, Yefeng Zheng, Guangming Lu, Zhiqiang Zhan

A Deep Learning Approach to Predict Conductive Hearing Loss in Otitis Media with Effusion using Otoscopic Images

[JAMA Otolaryngology-Head & Neck Surgery 2022 (IF=8.961)] Junbo Zeng; Weibiao Kang; Suijun Chen; Yi Lin; Wenting Deng; Yajing Wang; Guisheng Chen; Kai Ma; Fei Zhao; Yefeng Zheng; Maojin Liang; Linqi Zeng; Weijie Ye; Peng Li; Yubin Chen; Guoping Chen; Jinliang Gao; Minjian Wu; Yuejia Su; Yiqing Zheng; Yuexin Cai

Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation

[IEEE TMI 2022 (IF=11.037)] Cheng Bian, Chenglang Yuan, Kai Ma, Shuang Yu, Dong Wei, Yefeng Zheng

Anti-interference from Noisy Labels: Mean-Teacher-assisted Confident Learning for Medical Image Segmentation

[IEEE TMI 2022 (IF=11.037)] Zhe Xu; Donghuan Lu; Jie Luo; Yixin Wang; Jiangpeng Yan; Kai Ma; Yefeng Zheng; Raymond Kai-yu Tong

All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation

[IEEE Journal of Biomedical and Health Informatics 2022 (IF=5.772)] Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, and Raymond Kai-yu Tong

TW-GAN: Topology and width aware GAN for retinal artery/vein classification

[Medical Image Analysis 2022 (IF=8.545)] Wenting Chen, Shuang Yu, Kai Ma, Wei Ji, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng

Knowledge-enhanced Attributed Multi-Task Learning for Medicine Recommendation

[ACM TOIS 2022 (IF=4.797)] Yingying Zhang, Xian Wu, Quan Fang, Shengsheng Qian, Chengsheng Xu

Knowledge Matters: Chest Radiology Report Generation with General and Specific Knowledge Medical Image Analysis

[MedIA 2022 (IF=8.545)] Shuxin Yang, Xian Wu, Shen Ge, S Kevin Zhou, Li Xiao

Graph Neural News Recommendation with User Existing and Potential Interest Modeling

[ACM TKDD 2022 (IF=2.713)] Zhaopeng Qiu, Yunfan Hu, Xian Wu

Using Machine Learning Algorithms for Predicting Cognitive Impairment and Identifying Modifiable Factors among Chinese Elderly People

[Frontiers in Aging Neuroscience 2022 (IF=5.702)] Shuojia Wang, Weiren Wang, Xiaowen Li, Yafei Liu, Jingming Wei, Jianguang Zheng, Yan Wang, Birong Ye, Ruihui Zhao, Yu Huang, Sixiang Peng, Yefeng Zheng, Yanbing Zeng

Prototypical Graph Contrastive Learning

[IEEE TNNLS 2022 (IF=14.26)] Shuai Lin, Chen Liu, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric Xing, Xiaodan Liang

Privacy-preserving Anomaly Detection in Cloud Manufacturing via Federated Transformer

[IEEE Transactions on Industrial Informatics (TII) 2022 (IF=10.215)] Shiyao Ma, Jiangtian Nie, Jiawen Kang, Lingjuan Lyu, Ryan Wen Liu, Ruihui Zhao, Ziyao Liu, Dusit Niyato

Complete Whole-Brain Single Neuron Reconstruction Reveals Morphological Diversity in Molecularly Defined Striatal, Thalamic and Cortical Neuron Types

[Nature 2021 (IF=49.96)] Hanchuan Peng, Peng Xie, Lijuan Liu, Xiuli Kuang, Yimin Wang, Lei Qu, Hui Gong, Shengdian Jiang, Anan Li, Zongcai Ruan, Liya Ding, Zizhen Yao, Chao Chen, Mengya Chen, Tanya L. Daigle, Rachel Dalley, Zhangcan Ding, Yanjun Duan, Aaron Feiner, Ping He, Chris Hill, Karla E. Hirokawa, Guodong Hong, Lei Huang, Sara Kebede, Hsien-Chi Kuo, Rachael Larsen, Phil Lesnar, Longfei Li, Qi Li, Xiangning Li, Yaoyao Li, Yuanyuan Li, An Liu, Donghuan Lu, Stephanie Mok, Lydia Ng, Thuc Nghi Nguyen, Qiang Ouyang, Jintao Pan, Elise Shen, Yuanyuan Song, Susan M. Sunkin, Bosiljka Tasic, Matthew B. Veldman, Wayne Wakeman, Wan Wan, Peng Wang, Quanxin Wang, Tao Wang, Yaping Wang, Feng Xiong, Wei Xiong, Wenjie Xu, Min Ye, Lulu Yin, Yang Yu, Jia Yuan, Jing Yuan, Zhixi Yun, Shaoqun Zeng, Shichen Zhang, Sujun Zhao, Zijun Zhao, Zhi Zhou, Z. Josh Huang, Luke Esposito, Michael J. Hawrylycz, Staci A. Sorensen, X. William Yang, Yefeng Zheng, Zhongze Gu, Wei Xie, Christof Koch, Qingming Luo, Julie A. Harris, Yun Wang and Hongkui Zeng

Cross-Modality Coherent Registration of Whole Mouse Brains

[Nature Methods 2021 (IF=28.55)] H. Peng, Lei Qu, Yuanyuan Li, Peng Xie, Lijuan Liu, Yimin Wang, Jun Wu, Yu Liu, Tao Wang, Longfei Li, Kaixuan Guo, Wang Wan, Lei Ouyang, Feng Xiong, Yefeng Zheng, Fang-ming Xu, H. Gong, H. Dong, Qing Luo, Guofang Bi, M. Hawrylycz, Hongkui Zeng

A Global Benchmark of Algorithms for Segmenting the Left Atrium from Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging

[Medical Image Analysis 2021 (IF=8.545)] Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Elodie Puybareau, Younes Khoudli, Thierry Géraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra, Alessandro Masci, Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Menyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nuñez-Garcia, Oscar Camara, Nicolo Savioli, Pablo Lamata, Jichao Zhao

Domain Adaptation Meets Zero-shot Learning: An Annotation-efficient Approach for Multi-modality Medical Image Segmentation

[IEEE TMI 2021 (IF=10.048)] Cheng Bian, Chenglang Yuan, Kai Ma, Shuang Yu, Dong Wei and Yefeng Zheng

DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reduction in CT Images

[IEEE TMI 2021 (IF=10.048)] Hong Wang, Yuexiang Li, Nanjun He, Kai Ma, Deyu Meng, Yefeng Zheng

Mix-and-Interpolate: A Training Strategy to Deal with Source-biased Medical Data

[IEEE JBHI 2021 (IF=5.772)] Yuexiang Li, Jiawei Chen, Dong Wei, Yanchun Zhu, Jianrong Wu, Junfeng Xiong, Yadong Gang, Wenbo Sun, Haibo Xu, Tianyi Qian, Kai Ma, and Yefeng Zheng

Beyond Mutual Information: Generative Adversarial Network for Domain Adaptation using Information Bottleneck Constraint

[IEEE TMI 2021 (IF=6.78)] Jiawei Chen, Ziqi Zhang, Xinpeng Xie, Yuexiang Li, Tao Xu, Kai Ma, Yefeng Zheng

Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation

[IEEE TMI 2021 (IF=6.78)] Yinghuan Shi, Jian Zhang, Tong Ling, Jiwen Lu, Yefeng Zheng, Qian Yu, Lei Qi, Yang Gao

Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation

[IEEE TMI 2021 (IF=6.78)] Xiaoting Han, Lei Qi, Qian Yu, Ziqi Zhou, Yefeng Zheng, Yinghuan Shi, Yang Gao

S-CUDA: Self-Cleansing Unsupervised Domain Adaptation for Medical Image Segmentation

[MedIA 2021 (IF=11.15)] Luyan Liu, Zhengdong Zhang, Shuai Li, Kai Ma, Yefeng Zheng

Molecular Subtyping of Diffuse Gliomas using Magnetic Resonance Imaging: Comparison and Correlation betgween Radiomics and Deep Learning

[European Radiology 2021 (IF=5.3)] Yiming Li, Dong Wei, Xing Liu, Xing Fan, Kai Wang, Shaowu Li, Zhong Zhang, Kai Ma, Tianyi Qian, Tao Jiang, Yefeng Zheng, Yinyan Wang

Anomaly Detection for Medical Images using Self-supervised and Translation-consistent Features

[IEEE TMI 2021 (IF=6.78)] He Zhao, Yuexiang Li, Nanjun He, Kai Ma, Leyuan Fang, Huiqi Li, Yefeng Zheng

GRAND: A large-scale dataset and benchmark for cervical intraepithelial Neoplasia grading with fine-grained lesion description

[MedIA 2021 (IF=11.15)] Yuexiang Li, Zhi-Hua Liu, Peng Xue, Jiawei Chen, Kai Ma, Tianyi Qian, Yefeng Zheng, You-Lin Qiao

Dynamic Joint Domain Adaptation Network for Motor Imagery Classification

[IEEE TNSRE 2021 (IF=3.48)] Xiaolin Hong, Qingqing Zheng, Luyan Liu, Peiyin Chen, Kai Ma, Zhongke Gao, Yefeng Zheng

Quantifying the Effect of Public Activity Intervention Policies on COVID-19 Pandemic Containment Using Epidemiologic Data From 145 Countries

[Value in Health 2021 (IF=5.725)] Jichao Sun, Yefeng Zheng, Wenhua Liang, Zifeng Yang, Zhiqi Zeng, Tiegang Li, Junjie Luo, Man Tat Alexander Ng, Jianxing He, Nanshan Zhong

Understanding Patient Query with Weak Supervision from Doctor Response

[IEEE JBHI 2021 (IF=5.223)] Xiaoming Shi, Sendong Zhao, Yuxuan Wang, Xi Chen, Ziheng Zhang, Yefeng Zheng, Wanxiang Che

Towards Communication-efficient and Attack-resistant Federated Edge Learning for Industrial Internet of Things

[Transactions on Internet Technology 2021 (IF=4.79)] Yi Liu, Ruihui Zhao, Jiawen Kang, Abdulsalam Yassine, Dusit Niyato, Jialiang Peng*

Identifying Urban Built Environment Factors in Pregnancy Care and Maternal Mental Health Outcomes

[BMC Pregnancy and Childbirth 2021 (IF=3.007)] Yiye Zhang, Mohammad Tayarani, Shuojia Wang, Yifan Liu, Mohit Sharma, Rochelle Joly, Arindam RoyChoudhury, Alison Hermann, Oliver H. Gao, Jyotishman Pathak

The Association of Vitamin D and Gene Variants in the Vitamin D Metabolic Pathway with Preterm Birth

[Nutrition 2021 (IF=4.118)] Shuojia Wang, Xin Xing, Wenliang Luo, Minjia Mo, Shuting Si, Bule Shao, Yu Shen, Haoyue Cheng, Yunxian Yu

Crossover-Net: Leveraging Vertical-horizontal Crossover Relation for Robust Medical Image Segmentation

[Pattern Recognition 2020 (IF=8.518)] Qian Yu, Yinghuan Shi, Yefeng Zheng, Yang Gao, Jianbing Zhu, Yakang Dai

Development and Validation of an Artificial Intelligence System for Grading Colposcopic Impressions and Guiding Biopsies

[BMC Medicine 2020 (IF=6.78)] Peng Xue, Chao Tang, Qing Li, Yuexiang Li, Yu Shen, Yuqian Zhao, Jiawei Chen, Jianrong Wu, Longyu Li, Wei Wang, Yucong Li, Xiaoli Cui, Shaokai Zhang, Wenhua Zhang, Xun Zhang, Kai Ma, Yefeng Zheng, Tianyi Qian, Man Tat Alexander Ng, Zhihua Liu, Youlin Qiao, Yu Jiang, Fanghui Zhao

A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data

[IEEE TMI 2020 (IF=6.69)] Hengji Cui, Dong Wei, Kai Ma, Shi Gu, Yefeng Zheng

Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network

[IEEE TMI 2020 (IF=6.69)] Shuxin Wang, Shilei Cao, Zhizhong Chai, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng

Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning

[Journal of Cancer Research and Clinical Oncology 2020 (IF=3.66)] Yi-Quan Jiang, Su-E Cao, Shilei Cao, Jian-Ning Chen, Guo-Ying Wang, Wen-Qi Shi, Yi-Nan Deng, Na Cheng, Kai Ma, Kai-Ning Zeng, Xi-Jing Yan, Hao-Zhen Yang, Wen-Jing Huan, Wei-Min Tang, Yefeng Zheng, Chun-Kui Shao, Jin Wang, Yang Yang, Gui-Hua Chen

Pairwise learning for medical image segmentation

[MedIA 2020 (IF=11.15)] Renzhen Wang, Shilei Cao, Kai Ma, Yefeng Zheng, Deyu Meng

Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank

[IEEE JBHI 2020 (IF=5.223)] Yuexiang Li, Dong Wei, Jiawei Chen, Shilei Cao, Hongyu Zhou, Yanchun Zhu, Jianrong Wu, Lan Lan, Wenbo Sun, Tianyi Qian, Kai Ma, Haibo Xu, and Yefeng Zheng

Rubik’s Cube+: A Self-supervised Feature Learning Framework for 3D Medical Image Analysis

[MedIA 2020 (IF=11.15)] Jiuwen Zhu, Yuexiang Li, Yifan Hu, Kai Ma, S Kevin Zhou, Yefeng Zheng

Computer-aided Cervical Cancer Diagnosis using Time-lapsed Colposcopic Images

[IEEE TMI 2020 (IF=6.69)] Yuexiang Li, Jiawei Chen, Peng Xue, Chao Tang, Jia Chang, Chunyan Chu, Kai Ma, Qing Li, Yefeng Zheng, Youlin Qiao

Deep Representation-Based Domain Adaptation for Nonstationary EEG Classification

[IEEE TNNLS 2020 (IF=8.79)] He Zhao, Qingqing Zheng, Kai Ma, Huiqi Li, Yefeng Zheng

Uncertainty-aware Domain Alignment for Anatomical Structure Segmentation

[MedIA 2020 (IF=11.15)] Cheng Bian, Chenglang Yuan, Jiexiang Wang, Meng Li, Xin Yang, Shuang Yu, Kai Ma, Jin Yuan, Yefeng Zheng

Forecasting the long-term trend of COVID-19 epidemic using a dynamic model

[Scientific Reports 2020 (IF=4.525)] Jichao Sun,† Xi Chen,† Ziheng Zhang,† Shengzhang Lai, Bo Zhao, Hualuo Liu, Shuojia Wang, Wenjing Huan, Ruihui Zhao, Man Tat Alexander Ng*, Yefeng Zheng*

Development and validation of a machine learning algorithm for predicting the risk of postpartum depression among pregnant women

[Journal of Affective Disorders 2020 (IF=4.084)] Yiye Zhang, Shuojia Wang, Alison Hermann, Rochelle Joly, Jyotishman Pathak

Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations

[ICML 2024] Yichen Wu, Hong Wang, Peilin Zhao, Yefeng Zheng, Ying Wei, Long-Kai Huang

Tune-An-Ellipse: CLIP Has Potential to Find What You Want

[CVPR 2024] Jinheng Xie, Songhe Deng, Bing Li, Haozhe Liu, Yawen Huang, Yefeng Zheng, Jürgen Schmidhuber, Bernard Ghanem, Linlin Shen, Mike Zheng Shou

Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models

[CVPR 2024] Huimin Huang, Yawen Huang, Lanfen Lin, Ruofeng Tong, Yen-wei Chen, Hao Zheng, Yuexiang Li, Yefeng Zheng

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification

[CVPR 2024] Jiangbo Shi, Chen Li, Tieliang Gong, Yefeng Zheng, Huazhu Fu

Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-Supervised Medical Image Segmentation

[AAAI 2024] Huimin Huang, Yawen Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Yefeng Zheng

Federated Learning via Input-Output Collaborative Distillation

[AAAI 2024] Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Ya, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David Doermann

Federated Modality-specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation

[AAAI 2024] Qian Dai, Dong Wei, Hong Liu , Jinghan Sun, Liansheng Wang, Yefeng Zheng

Learning Generalized Medical Image Segmentation from Decoupled Feature Queries

[AAAI 2024] Qi Bi, Jingjun Yi, Hao Zheng, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng

Self-supervised Cross-level Consistency Learning for Fundus Image Classification

[ICASSP 2024] Q. Bi, H. Zheng, X. Sun, J. Yi, W. Zhang, Y. Huang, Y. Li, and Y. Zheng

When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications

[SIGIR 2024] Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, and Yefeng Zheng

JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning

[COLING 2024] Wai-Chung Kwan*, Huimin Wang*, Hongru Wang, Zezhong Wang, Bin Liang, Xian Wu, Yefeng Zheng, Kam-Fai Wong

MKeCL: Medical Knowledge-Enhanced Contrastive Learning for Few-shot Disease Diagnosis

[COLING 2024] Yutian Zhao*, Huimin Wang*, Xian Wu, Yefeng Zheng

Knowledge-aware Attention Network for Medication Effectiveness Prediction

[COLING 2024] Yingying Zhang, Xian Wu, Yu Zhang, Yefeng Zheng

Alignment before Awareness: Towards Visual Question Localized-Answering in Robotic Surgery via Optimal Transport and Answer Semantics

[COLING 2024] Zhihong Zhu, Yunyan Zhang, Xuxin Cheng, Zhiqi Huang, Derong Xu, Xian Wu, Yefeng Zheng

Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models

[COLING 2024] Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen

Biomedical Entity Linking as Multiple Choice Question Answering

[COLING 2024] Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng

Causally Debiased Time-aware Recommendation

[WWW 2024] Lei Wang, Chen Ma, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen

GraphLeak: Patient Record Leakage through Gradients with Knowledge Graph

[WWW 2024] Xi Sheryl Zhang, Weifan Guan, Jiahao Lu, Zhaopeng Qiu, Jian Cheng, Xian Wu, Yefeng Zheng

Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal

[AAAI 2024] Yi Cheng, Wenge Liu, Jian Wang, Chak Tou Leong, Yi Ouyang, Wenjie Li, Xian Wu, Yefeng Zheng

Pre-trained Online Contrastive Learning for Insurance Fraud Detection

[AAAI 2024] Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang

Improving Biomedical Entity Linking with Retrieval-enhanced Learning

[ICASSP 2024] Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng

Dynamically Masked Discriminator for Generative Adversarial Networks

[NeurIPS 2023] Wentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng, Bernard Ghanem

VisorGPT: Learning Visual Prior via Generative Pre-Training

[NeurIPS 2023] Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou

Semi-Supervised Convolutional Vision Transformer with Bi-Level Uncertainty Estimation for Medical Image Segmentation

[MM 2023] Huimin Huang, Yawen Huang, Shiao Xie, Lanfen Lin, Tong Ruofeng, Yen-wei Chen, Yuexiang Li, Yefeng Zheng

RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training

[ISBI 2023] Lianyu Zhou, Dong Wei, Donghuan Lu, Wei Xue, Liansheng Wang, Yefeng Zheng

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

BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion

[ICCV 2023] Jinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou

FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs

[ICCV 2023] Peng Tu, Xu Xie, Guo AI, Yuexiang Li, Yawen Huang, Yefeng Zheng

AdaptiveMix: Robust Feature Representation via Shrinking Feature Space

[CVPR 2023] Haozhe Liu, Wentian Zhang, Bing Li, Haoqian Wu, Nanjun He, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng

SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation

[CVPR 2023] Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Hong Wang, Yawen Huang, Yefeng Zheng

Interactive Segmentation as Gaussian Process Classification

[CVPR 2023] Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng

ClassFormer: Exploring Class-aware Dependency with Transformer for Medical Image Segmentation

[AAAI 2023] Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hong Wang, Yuexiang Li, Yawen Huang, Yefeng Zheng

M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities

[AAAI 2023] Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng

Combating Mode Collapse in GANs via Manifold Entropy Estimation

[AAAI 2023] Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng

ICA-Proto: Iterative Cross Alignment Prototypical Network for Incremental Few-Shot Relation Classification

[EACL 2023] Wangjie Jiang, Zhihao Ye, Bang Liu, Ruihui Zhao, Jianguang Zheng, Mengyao Li, Zhiyong Li, Yujiu Yang, Yefeng Zheng

Semi-supervised Credit Card Fraud Detection via Attribute-driven Graph Representation

[AAAI 2023] Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng

Identify Event Causality with Knowledge and Analogy

[AAAI 2023] Sifan Wu, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu

CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation

[ACL 2023] Huimin Wang Wai-Chung Kwan, Kam-Fai Wong, Yefeng Zheng

CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset

[ACL 2023] Hanchong Zhang and Jieyu Li and Lu Chen and Ruisheng Cao and Yunyan Zhang and Yu Huang and Yefeng Zheng and Kai Yu

Relation-aware Ensemble Learning for Knowledge Graph Embedding

[EMNLP 2023] Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng

Dialogue Medical Information Extraction with Medical-Item Graph and Dialogue-Status Enriched Representation

[EMNLP 2023] Lei Gao, Xinnan Zhang, Xian Wu, Shen Ge, Yefeng Zheng

REST: Drug-Drug Interaction Prediction via Reinforced Student-Teacher Curriculum Learning

[CIKM 2023] Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Yong Zhang, Chunxiao Xing, Xian Wu

Distributionally Robust Sequential Recommnedation

[SIGIR 2023] Rui Zhou, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen

Cross-Modal Contrastive Learning for Event Extraction

[DASFAA 2023] Shuo Wang, Meizhi Ju, Yunyan Zhang, Yefeng Zheng, Meng Wang, Guilin Qi

Exploring Social Media for Early Detection of Depression in COVID-19 Patients

[WWW 2023] Jiageng Wu, Xian Wu, Yining Hua, Shixu Lin, Yefeng Zheng, Jie Yang

Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks

[ECCV 2022] Yawen Huang, Feng Zheng, Xu Sun, Yuexiang Li, Ling Shao, Yefeng Zheng

Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation

[ECCV 2022] Xinyu Shi, Dong Wei, Donghuan Lu, Jiashun Chen, Munan Ning, Kai Ma, Yu Zhang, Yefeng Zheng

FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss

[MM 2022] Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, and Yaochu Jin

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

Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction

[IJCAI 2022] Hong Wang, Yuexiang Li, Deyu Meng, Yefeng Zheng

Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning

[AAAI 2022] Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng

Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning

[EMNLP 2022] Yi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang, Ruihui Zhao, Bang Liu, Xiaodan Liang, Yefeng Zheng

MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction

[CIKM 2022] Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu, Bang Liu, Siheng Li, Yujiu Yang, Yefeng Zheng

QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic Relations

[WWW 2022] Suyuchen Wang, Ruihui Zhao,Yefeng Zheng, Bang Liu

"My nose is running. ""Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics

[IJCAI 2022] Wenge Liu, Jianheng Tang, Hao Wang, Yi Cheng, Yafei Liu, Ruihui Zhao, Xi Chen, Yefeng Zheng, Xiaodan Liang

Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation

[ICDE 2022] Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu

MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation

[NLPCC 2022] Wenge Liu, Jianheng Tang, Yi Cheng, Wenjie Li, Yefeng Zheng, Xiaodan Liang

Contractible Regularization for Federated Learning on Non-IID Data

[ICDM 2022] Zifan Chen, Zhe Wu, Xian Wu, Li Zhang, Jie Zhao, Yangtian Yan, Yefeng Zheng

Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit

[ICDM 2022] Xianli Zhang, Buyue Qian, Yang Li, Zeyu Gao, Chong Guan, Renzhen Wang, Yefeng Zheng, Hansen Zheng, Chen Li

Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions

[NeurIPS 2022] Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Zhangdaihong Liu, Xu Sun, Yang Yang, David A. Clifton

Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

[NeurIPS 2022] Peng Jin, JinFa Huang, Fenglin Liu, Xian Wu, Shen Ge, Guoli Song, David A. Clifton, Jie Chen

Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation

[CIKM 2022] Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang

DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis

[COLING 2022] Xian Wu, Shuxin Yang, Zhaopeng Qiu, Shen Ge, Yangtian Yan, Xingwang Wu, Yefeng Zheng, S. Kevin Zhou and Li Xiao

Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words

[COLING 2022] Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin and Ting Liu

Finding Influential Instances for Distantly Supervised Relation Extraction

[COLING 2022] Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang and Yefeng Zheng

Multi-modal Contrastive Representation Learning for Entity Alignment

[COLING 2022] Zhenxi Lin, Ziheng Zhang, Meng Wang, Yinghui Shi, Xian Wu and Yefeng Zheng

CLINER: Clinical Interrogation Named Entity Recognition

[KSEM 2022] Jing Ren, Tianyang Cao, Yifan Yang, Yunyan Zhang, Xi Chen, Tian Feng, Baobao Chang, Zhifang Sui, Ruihui Zhao, Yefeng Zheng, Bang Liu

Probing the Impacts of Visual Context in Multimodal Entity Alignment

[APWeb-WAIM 2022 (Excellent Student Paper)] Yinghui Shi, Meng Wang, Ziheng Zhang, Zhenxi Lin, and Yefeng Zheng

Denoising Neural Network for News Recommendation with Positive and Negative Implicit Feedback

[NAACL 2022 Findings] Yunfan Hu, Zhaopeng Qiu, Xian Wu

Towards Joint Intent Detection and Slot Filling via Higher-order Attention

[IJCAI 2022] Dongsheng Chen, Zhiqi Huang, Xian Wu, Shen Ge, Yuexian Zou

Medical Symptom Detection in Intelligent Pre-Consultation using Bi-directional Hard-Negative Noise Contrastive Estimation

[KDD 2022] Shiwei Zhang, Jichao Sun, Yu Huang, Xueqi Ding, and Yefeng Zheng

DDR: Dialogue based Doctor Recommendation for Online Medical Service

[KDD 2022] Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong

CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction

[WWW 2022] Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong

Conditional Generation Net for Medication Recommendation

[WWW 2022] Rui Wu, Zhaopeng Qiu, Jiacheng Jiang, Guilin Qi, Xian Wu

BNU: A Balance-Normalization-Uncertainty Model for Incremental Event Detection

[ICASSP 2022] Jia Li, Yunyan Zhang, Yifan Yang, Zhicheng An, Yefeng Zheng

InDISP: An Interpretable Model for Dynamic Illness Severity Prediction

[DASFAA 2022] Xinyu Ma, Meng Wang, Xing Liu, Yifan Yang, Yefeng Zheng, Sen Wang

PAC-Bayes Information Bottleneck

[ICLR 2022 (Spotlight)] Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng

Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix

[BMVC 2021] Ziqi Zhang, Yuexiang Li, Hongxin Wei, Kai Ma, Tao Xu, Yefeng Zheng

RECIST-Net: Lesion Detection via Grouping Keypoints on RECIST-based Annotation

[ISBI 2021] Cong Xie, Shilei Cao, Dong Wei, Hongyu Zhou, Kai Ma, Xianli Zhang, Buyue Qian, Liansheng Wang, Yefeng Zheng

Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation

[ISBI 2021] Cong Xie, Hualuo Liu, Shilei Cao, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng

Multi-anchor Active Domain Adaptation for Semantic Segmentation

[ICCV 2021 (Oral)] Munan Ning, Dong Wei, Donghuan Lu, Shuang Yu, Kai Ma, Chenglang Yuan, Cheng Bian, Yefeng Zheng

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

From Rain Generation to Rain Removal

[CVPR 2021] Hong Wang, Zongsheng Yue, Qi Xie, Qian Zhao, Yefeng Zheng, and Deyu Meng

Calibrated RGB-D Salient Object Detection

[CVPR 2021] Wei Ji, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Qi Bi, Jingjing Li, Hanruo Liu, Li Cheng, Yefeng Zheng

Learning Calibrated Medical Image Segmentation via Multi-rater Agreement Modeling

[CVPR 2021 (Best Paper Candidate)] Wei Ji, Jingjing Li, Shuang Yu, Miao Zhang, Yongri Piao, Shunyu Yao, Qi Bi, Kai Ma, Yefeng Zheng, Huchuan Lu, Li Cheng

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

Alternative Baselines for Low-Shot 3D Medical Image Segmentation—An Atlas Perspective

[AAAI 2021] Shuxin Wang, Shilei Cao, Dong Wei, Cong Xie, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng

Stabilized Medical Image Attacks

[ICLR 2021 (Spotlight)] Gege Qi, Lijun Gong, Yibing Song, Kai Ma, Yefeng Zheng

Refining BERT Embeddings for Document Hashing via Mutual Information Maximization

[EMNLP 2021] Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng and Bang Liu

Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval

[ACL 2021] Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen and Yefeng Zheng

Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting

[ACL 2021] Yi Cheng, Siyao Li, Bang Liu, Ruihui Zhao, Sujian Li, Chenghua Lin and Yefeng Zheng

FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data

[IJCNN 2021] Yuanshao Zhu, Christos Markos, Ruihui Zhao, Yefeng Zheng, James Yu

Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management

[NAACL 2021] Zhengxu Hou, Bang Liu, Ruihui Zhao, Zijing Ou, Yafei Liu, Xi Chen, Yefeng Zheng

Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion

[WWW 2021] Suyuchen Wang, Ruihui Zhao, Xi Chen, Yefeng Zheng, Bang Liu

Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation

[AAAI 2021] Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin

CATE: A Contrastive Pre-trained Model for Metaphor Detection with Semi-supervised Learning

[EMNLP 2021] Zhenxi Lin, Qianli Ma, Jiangyue Yan and Jieyu Chen

Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis

[ICDM 2021] Yang Li, Xianli Zhang, Buyue Qian, Zeyu Gao, Chong Guan, Yefeng Zheng, Hansen Zheng, Fenglang Wu, and Chen Li

PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System

[CIKM 2021] Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yefeng Zheng

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction

[ACL 2021] Hengyi Zheng, Rui Wen, Xi Chen, Yifan Yang, Yunyan Zhang, Ziheng Zhang, Ningyu Zhang, Bin Qin, Xu Ming and Yefeng Zheng

OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding

[ACL 2021] Yuejia Xiang*, Ziheng Zhang*, Jiaoyan Chen, Xi Chen, Zhenxi Lin and Yefeng Zheng

Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding

[IJCAI 2021] Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yuejia Xiang, Ningyu Zhang, Yefeng Zheng

Lifelong Learning based Disease Diagnosis on Clinical Notes

[PAKDD 2021 (Best Student Paper)] Zifeng Wang*, Yifan Yang*, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng

Improving Short Text Classification Using Context-Sensitive Representations and Content-Aware Extended Topic Knowledge

[PAKDD 2021] Zhihao Ye, Rui Wen, Xi Chen, Ye Liu, Ziheng Zhang, Zhiyong Li, Ke Nai, Yefeng Zheng

Learning Robust Patient Representations from Multi-modal Electronic Health Records: A Supervised Deep Learning Approach

[SDM 2021] Xianli Zhang, Buyue Qian, Yang Li, Yang Liu, Xi Chen, Chong Guan, Yefeng Zheng, Chen Li

Field Embedding: A Unified Grain-Based Framework for Word Representation

[NAACL 2021] Junjie Luo, Xi Chen, Jichao Sun, Yuejia Xiang, Ningyu Zhang, Xiang Wan

Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks

[WWW 2021] Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng

Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention

[IJCAI 2020-FML workshop] Ce Ju*, Ruihui Zhao*, Jichao Sun, Xiguang Wei, Bo Zhao, Yang Liu, Hongshan Li, Tianjian Chen, Xinwei Zhang, Dashan Gao, Ben Tan, Han Yu and Yuan Jin

VideoGAN: Generative Adversarial Networks for Video Domain Adaptation

[AAAI 2020] Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng

INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare

[KDD 2020] Xianli Zhang, Buyue Qian, Shilei Cao, Yang Li, Hang Chen, Yefeng Zheng, Ian Davidson

A Multi-task Self-supervised Learning Framework for Scopy Images

[ISBI 2020] Yuexiang Li, Jiawei Chen, Yefeng Zheng

Multi-modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis

[ISBI 2020] Bingyu Xin, Yifan Hu, Yefeng Zheng, Hongen Liao

Dual Adversarial Network for Deep Active Learning

[ECCV 2020] Shuo Wang, Yuexiang Li, Kai Ma, Ruhui Ma, Haibing Guan, Yefeng Zheng

Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation

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

Deep Image Clustering with Category-Style Representation

[ECCV 2020] Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, 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

LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation

[CVPR 2020] Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng

Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift

[IJCAI 2020] Qinming Zhang, Luyan Liu, Kai Ma, Cheng Zhuo, Yefeng Zheng

Generative Adversarial Networks for Video-to-Video Domain Adaptation

[AAAI 2020] Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng

Speaker or Listener? The Role of a Dialogue Agent

[EMNLP 2020] Yafei Liu, Hongjin Qian, Hengpeng Xu, Jinmao Wei

Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback

[NeurIPS 2020] Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan E. Kuruoglu, Yefeng Zheng

Correcting Knowledge Base Assertions

[WWW 2020] Jiaoyan Chen, Xi Chen, Ian Horrocks, Erik B. Myklebust, and Ernesto Jimenez-Ruiz

An Industry Evaluation of Embedding-based Entity Alignment

[COLING 2020] Ziheng Zhang, Jiaoyan Chen, Xi Chen, Hualuo Liu, Yuejia Xiang, Bo Liu, Yefeng Zheng

Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention

[EMNLP 2020] Ningyu Zhang, Shumin Deng, Juan Li, Xi Chen, Wei Zhang, Huajun Chen

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

X2CT-GAN: Reconstructing CT from Biplanar X-rays with Generative Adversarial Networks

[CVPR 2019] Xingde Ying, Heng Guo, Kai Ma, Jian Wu, Zhengxin Weng, Yefeng Zheng

Med3d: Transfer Learning for 3d Medical Image Analysis

[arXiv] Sihong Chen, Kai Ma, Yefeng Zheng