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Dong Wei 0004
Person information
- affiliation: Tencent Jarvis Lab, Shenzhen, Chin
- affiliation (former): University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- affiliation (PhD 2013): National University of Singapore, Singapore
Other persons with the same name
- Dong Wei — disambiguation page
- Dong Wei 0001 — New Jersey Institute of Technology, Newark, NJ, USA
- Dong Wei 0002 — School of Cyber Security, Chinese Academy of Sciences, Beijing, China (and 1 more)
- Dong Wei 0003 — Texas University, Austin, TX, USA
- Dong Wei 0006 — Zhejiang University, Hangzhou, China
- Dong Wei 0007 — Nanjing University of Science and Technology, Nanjing, China
- Dong Wei 0008 — Fudan University, Shanghai, China
- Dong Wei 0009 — Siemens Corporation, Princeton, NJ, USA
- Dong Wei 0010 — New Jersey Institute of Technology, Newark, NJ, USA
- Dong Wei 0011 — Rice University, Houston, TX, USA
- Dong Wei 0012 — North China University of Water Resources and Electric Power, Zhengzhou, China
- Dong Wei 0013 — Huawei Technologies Co., Ltd., Shenzhen, China
- Dong Wei 0015 — University of Science and Technology of China, Hefei, China
- Dong Wei 0016 — Synthetic Geographic Information Center of Shanxi, Taiyuan, China
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Journal Articles
- 2024
- [j17]Yuexiang Li, Yanping Wang, Guang Lin, Yawen Huang, Jingxin Liu, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Zhiqiang Zhang, Guangming Lu, Yefeng Zheng:
Triplet-branch network with contrastive prior-knowledge embedding for disease grading. Artif. Intell. Medicine 149: 102801 (2024) - [j16]Hong Liu, Dong Wei, Donghuan Lu, Xiaoying Tang, Liansheng Wang, Yefeng Zheng:
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 Anal. 91: 103019 (2024) - [j15]Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng:
Hybrid unsupervised representation learning and pseudo-label supervised self-distillation for rare disease imaging phenotype classification with dispersion-aware imbalance correction. Medical Image Anal. 93: 103102 (2024) - [j14]Tianwei Zhang, Dong Wei, Mengmeng Zhua, Shi Gu, Yefeng Zheng:
Self-supervised learning for medical image data with anatomy-oriented imaging planes. Medical Image Anal. 94: 103151 (2024) - [j13]Quanziang Wang, Renzhen Wang, Yuexiang Li, Dong Wei, Hong Wang, Kai Ma, Yefeng Zheng, Deyu Meng:
Relational Experience Replay: Continual Learning by Adaptively Tuning Task-Wise Relationship. IEEE Trans. Multim. 26: 9683-9698 (2024) - 2023
- [j12]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:
A deep weakly semi-supervised framework for endoscopic lesion segmentation. Medical Image Anal. 90: 102973 (2023) - [j11]Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan:
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13553-13566 (2023) - [j10]Bo Liu, Donghuan Lu, Dong Wei, Xian Wu, Yan Wang, Yu Zhang, Yefeng Zheng:
Improving Medical Vision-Language Contrastive Pretraining With Semantics-Aware Triage. IEEE Trans. Medical Imaging 42(12): 3579-3589 (2023) - 2022
- [j9]Yuexiang Li, Jiawei Chen, Dong Wei, Yanchun Zhu, Jianrong Wu, Junfeng Xiong, Yadong Gang, Wenbo Sun, Haibo Xu, Tianyi Qian, Kai Ma, Yefeng Zheng:
Mix-and-Interpolate: A Training Strategy to Deal With Source-Biased Medical Data. IEEE J. Biomed. Health Informatics 26(1): 172-182 (2022) - [j8]Cheng Bian, Chenglang Yuan, Kai Ma, Shuang Yu, Dong Wei, Yefeng Zheng:
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation. IEEE Trans. Medical Imaging 41(5): 1043-1056 (2022) - 2021
- [j7]Hengji Cui, Dong Wei, Kai Ma, Shi Gu, Yefeng Zheng:
A Unified Framework for Generalized Low-Shot Medical Image Segmentation With Scarce Data. IEEE Trans. Medical Imaging 40(10): 2656-2671 (2021) - 2020
- [j6]Yuexiang Li, Dong Wei, Jiawei Chen, Shilei Cao, Hongyu Zhou, Yanchun Zhu, Jianrong Wu, Lan Lan, Wenbo Sun, Tianyi Qian, Kai Ma, Haibo Xu, Yefeng Zheng:
Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank. IEEE J. Biomed. Health Informatics 24(10): 2787-2797 (2020) - [j5]Shuxin Wang, Shilei Cao, Zhizhong Chai, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network. IEEE Trans. Medical Imaging 39(12): 4174-4185 (2020) - 2019
- [j4]Dong Wei, Susan Weinstein, Meng-Kang Hsieh, Lauren Pantalone, Despina Kontos:
Three-Dimensional Whole Breast Segmentation in Sagittal and Axial Breast MRI With Dense Depth Field Modeling and Localized Self-Adaptation for Chest-Wall Line Detection. IEEE Trans. Biomed. Eng. 66(6): 1567-1579 (2019) - 2013
- [j3]Dong Wei, Ying Sun, Sim Heng Ong, Ping Chai, Lynette L. Teo, Adrian F. Low:
Three-dimensional segmentation of the left ventricle in late gadolinium enhanced MR images of chronic infarction combining long- and short-axis information. Medical Image Anal. 17(6): 685-697 (2013) - [j2]Dong Wei, Ying Sun, Sim Heng Ong, Ping Chai, Lynette L. Teo, Adrian F. Low:
A Comprehensive 3-D Framework for Automatic Quantification of Late Gadolinium Enhanced Cardiac Magnetic Resonance Images. IEEE Trans. Biomed. Eng. 60(6): 1499-1508 (2013) - 2009
- [j1]Jeng Hong Ho, Steven Zhiying Zhou, Dong Wei, Alfred Low:
Investigating the Effects of Educational Game with Wii Remote on Outcomes of Learning. Trans. Edutainment 3: 240-252 (2009)
Conference and Workshop Papers
- 2024
- [c40]Qian Dai, Dong Wei, Hong Liu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation. AAAI 2024: 1445-1453 - [c39]Zhe Xu, Cheng Chen, Donghuan Lu, Jinghan Sun, Dong Wei, Yefeng Zheng, Quanzheng Li, Raymond Kai-Yu Tong:
FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation. MICCAI (8) 2024: 294-304 - [c38]Conghao Xiong, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King:
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction. MICCAI (4) 2024: 318-328 - [c37]Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Hao Zheng, Yefeng Zheng, Liansheng Wang:
Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets. MICCAI (9) 2024: 372-382 - [c36]Conghao Xiong, Yi Lin, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King:
TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification. MICCAI (4) 2024: 503-513 - 2023
- [c35]Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities. AAAI 2023: 1657-1665 - [c34]Lianyu Zhou, Dong Wei, Donghuan Lu, Wei Xue, Liansheng Wang, Yefeng Zheng:
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training. ISBI 2023: 1-4 - [c33]Zhe Xu, Donghuan Lu, Jiangpeng Yan, Jinghan Sun, Jie Luo, Dong Wei, Sarah F. Frisken, Quanzheng Li, Yefeng Zheng, Raymond Kai-Yu Tong:
Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data. MICCAI (4) 2023: 3-13 - [c32]Hong Wang, Minghao Zhou, Dong Wei, Yuexiang Li, Yefeng Zheng:
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images. MICCAI (10) 2023: 109-120 - [c31]Yinghao Zhang, Donghuan Lu, Munan Ning, Liansheng Wang, Dong Wei, Yefeng Zheng:
A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images. MICCAI (3) 2023: 232-241 - [c30]Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng:
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray. MICCAI (1) 2023: 363-373 - 2022
- [c29]Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning. AAAI 2022: 2307-2315 - [c28]Xinyu Shi, Dong Wei, Yu Zhang, Donghuan Lu, Munan Ning, Jiashun Chen, Kai Ma, Yefeng Zheng:
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation. ECCV (20) 2022: 151-168 - [c27]Yao Zhang, Nanjun He, Jiawei Yang, Yuexiang Li, Dong Wei, Yawen Huang, Yang Zhang, Zhiqiang He, Yefeng Zheng:
mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation. MICCAI (5) 2022: 107-117 - [c26]Jiashun Chen, Donghuan Lu, Yu Zhang, Dong Wei, Munan Ning, Xinyu Shi, Zhe Xu, Yefeng Zheng:
Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration. MICCAI (6) 2022: 141-151 - [c25]Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Dong Wei, Yefeng Zheng, Raymond Kai-Yu Tong:
Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data. MICCAI (5) 2022: 214-224 - [c24]Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng:
Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-Rays. MICCAI (3) 2022: 249-260 - [c23]Lin Wang, Munan Ning, Donghuan Lu, Dong Wei, Yefeng Zheng, Jie Chen:
An Inclusive Task-Aware Framework for Radiology Report Generation. MICCAI (8) 2022: 568-577 - [c22]Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng:
Lesion Guided Explainable Few Weak-Shot Medical Report Generation. MICCAI (5) 2022: 615-625 - [c21]Wenguang Yuan, Donghuan Lu, Dong Wei, Munan Ning, Yefeng Zheng:
Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images. MICCAI (2) 2022: 667-676 - 2021
- [c20]Shuxin Wang, Shilei Cao, Dong Wei, Cong Xie, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng:
Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective. AAAI 2021: 634-642 - [c19]Munan Ning, Donghuan Lu, Dong Wei, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Yefeng Zheng:
Multi-Anchor Active Domain Adaptation for Semantic Segmentation. ICCV 2021: 9092-9102 - [c18]Hong-Yu Zhou, Hualuo Liu, Shilei Cao, Dong Wei, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng:
Generalized Organ Segmentation by Imitating One-Shot Reasoning Using Anatomical Correlation. IPMI 2021: 452-464 - [c17]Munan Ning, Cheng Bian, Dong Wei, Shuang Yu, Chenglang Yuan, Yaohua Wang, Yang Guo, Kai Ma, Yefeng Zheng:
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework. IPMI 2021: 492-503 - [c16]Cong Xie, Hualuo Liu, Shilei Cao, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation. ISBI 2021: 38-41 - [c15]Cong Xie, Shilei Cao, Dong Wei, Hongyu Zhou, Kai Ma, Xianli Zhang, Buyue Qian, Liansheng Wang, Yefeng Zheng:
Recist-Net: Lesion Detection Via Grouping Keypoints On Recist-Based Annotation. ISBI 2021: 921-924 - [c14]Hong Liu, Dong Wei, Donghuan Lu, Yuexiang Li, Kai Ma, Liansheng Wang, Yefeng Zheng:
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images. MICCAI (8) 2021: 108-118 - [c13]Yuexiang Li, Yanping Wang, Guang Lin, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Guangming Lu, Zhiqiang Zhang, Yefeng Zheng:
Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading. MICCAI (5) 2021: 449-458 - [c12]Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification. MICCAI (5) 2021: 519-529 - [c11]Dong Wei, Kai Ma, Yefeng Zheng:
Training Automatic View Planner for Cardiac MR Imaging via Self-supervision by Spatial Relationship Between Views. MICCAI (6) 2021: 526-536 - 2020
- [c10]Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng:
LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation. CVPR 2020: 9159-9168 - [c9]Dong Wei, Yiming Li, Yinyan Wang, Tianyi Qian, Yefeng Zheng:
Deep convolutional neural networks for molecular subtyping of gliomas using magnetic resonance imaging. Medical Imaging: Computer-Aided Diagnosis 2020 - [c8]Yanfei Liu, Yunqiao Yang, Yi Lin, Yuexiang Li, Dong Wei, Kai Ma, Yefeng Zheng:
Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network. CADA@MICCAI 2020: 87-92 - [c7]Dong Wei, Shilei Cao, Kai Ma, Yefeng Zheng:
Learning and Exploiting Interclass Visual Correlations for Medical Image Classification. MICCAI (1) 2020: 106-115 - [c6]Hang Li, Dong Wei, Shilei Cao, Kai Ma, Liansheng Wang, Yefeng Zheng:
Superpixel-Guided Label Softening for Medical Image Segmentation. MICCAI (4) 2020: 227-237 - 2019
- [c5]Yu Chen, Jiawei Chen, Dong Wei, Yuexiang Li, Yefeng Zheng:
OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images. MMMI@MICCAI 2019: 17-25 - 2017
- [c4]Dong Wei, Susan Weinstein, Meng-Kang Hsieh, Lauren Pantalone, Mitchell D. Schnall, Despina Kontos:
Three-dimensional whole breast segmentation in sagittal MR images with dense depth field modeling and localized self-adaptation. Medical Imaging: Image Processing 2017: 1013314 - 2011
- [c3]Dong Wei, Ying Sun, Ping Chai, Adrian F. Low, Sim Heng Ong:
Myocardial Segmentation of Late Gadolinium Enhanced MR Images by Propagation of Contours from Cine MR Images. MICCAI (3) 2011: 428-435 - 2010
- [c2]Dong Wei, Steven Zhiying Zhou, Du Xie:
MTMR: A conceptual interior design framework integrating Mixed Reality with the Multi-Touch tabletop interface. ISMAR 2010: 279-280 - 2009
- [c1]Steven Zhiying Zhou, Derek Tan, Dong Wei, Yuta Nakayama:
TangiCube: introducing bi-directional interactivity with a virtual agent in a tangible mixed reality environment. Advances in Computer Entertainment Technology 2009: 413-414
Informal and Other Publications
- 2024
- [i35]Qian Dai, Dong Wei, Hong Liu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
Federated Modality-specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation. CoRR abs/2403.11803 (2024) - [i34]Tianwei Zhang, Dong Wei, Mengmeng Zhua, Shi Gu, Yefeng Zheng:
Self-Supervised Learning for Medical Image Data with Anatomy-Oriented Imaging Planes. CoRR abs/2403.16499 (2024) - [i33]Conghao Xiong, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King:
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction. CoRR abs/2406.09696 (2024) - 2023
- [i32]Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan:
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation. CoRR abs/2301.07354 (2023) - [i31]Lianyu Zhou, Dong Wei, Donghuan Lu, Wei Xue, Liansheng Wang, Yefeng Zheng:
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training. CoRR abs/2303.00205 (2023) - [i30]Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities. CoRR abs/2303.05302 (2023) - [i29]Hong Wang, Minghao Zhou, Dong Wei, Yuexiang Li, Yefeng Zheng:
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images. CoRR abs/2306.14274 (2023) - [i28]Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng:
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray. CoRR abs/2307.09184 (2023) - [i27]Xueming Fu, Hao Zheng, Luyan Liu, Wenjuan Zhong, Haowen Liu, Wenxuan Xiong, Yuyang Zhang, Yifeng Chen, Dong Wei, Mingjie Dong, Yefeng Zheng, Mingming Zhang:
Gait Cycle-Inspired Learning Strategy for Continuous Prediction of Knee Joint Trajectory from sEMG. CoRR abs/2307.13209 (2023) - [i26]Dong Wei, Yawen Huang, Donghuan Lu, Yuexiang Li, Yefeng Zheng:
Automatic view plane prescription for cardiac magnetic resonance imaging via supervision by spatial relationship between views. CoRR abs/2309.12805 (2023) - [i25]Hong Liu, Dong Wei, Donghuan Lu, Xiaoying Tang, Liansheng Wang, Yefeng Zheng:
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retinal OCT Images with Full and Sparse Annotations. CoRR abs/2312.01726 (2023) - 2022
- [i24]Hong Liu, Dong Wei, Donghuan Lu, Yuexiang Li, Kai Ma, Liansheng Wang, Yefeng Zheng:
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images. CoRR abs/2203.02390 (2022) - [i23]Shuxin Wang, Shilei Cao, Zhizhong Chai, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network. CoRR abs/2203.03640 (2022) - [i22]Dong Wei, Yiming Li, Yinyan Wang, Tianyi Qian, Yefeng Zheng:
Deep Convolutional Neural Networks for Molecular Subtyping of Gliomas Using Magnetic Resonance Imaging. CoRR abs/2203.05571 (2022) - [i21]Cheng Bian, Chenglang Yuan, Kai Ma, Shuang Yu, Dong Wei, Yefeng Zheng:
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation. CoRR abs/2203.10332 (2022) - [i20]Cong Xie, Hualuo Liu, Shilei Cao, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation. CoRR abs/2204.11090 (2022) - [i19]Dong Wei, Ying Sun, Sim Heng Ong, Ping Chai, Lynette L. Teo, Adrian F. Low:
Three-Dimensional Segmentation of the Left Ventricle in Late Gadolinium Enhanced MR Images of Chronic Infarction Combining Long- and Short-Axis Information. CoRR abs/2205.10548 (2022) - [i18]Dong Wei, Ying Sun, Sim Heng Ong, Ping Chai, Lynette L. Teo, Adrian F. Low:
A Comprehensive 3-D Framework for Automatic Quantification of Late Gadolinium Enhanced Cardiac Magnetic Resonance Images. CoRR abs/2205.10572 (2022) - [i17]Dong Wei, Ying Sun, Ping Chai, Adrian F. Low, Sim Heng Ong:
Myocardial Segmentation of Late Gadolinium Enhanced MR Images by Propagation of Contours from Cine MR Images. CoRR abs/2205.10595 (2022) - [i16]Yao Zhang, Nanjun He, Jiawei Yang, Yuexiang Li, Dong Wei, Yawen Huang, Yang Zhang, Zhiqiang He, Yefeng Zheng:
mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation. CoRR abs/2206.02425 (2022) - [i15]Jiashun Chen, Donghuan Lu, Yu Zhang, Dong Wei, Munan Ning, Xinyu Shi, Zhe Xu, Yefeng Zheng:
Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration. CoRR abs/2207.03180 (2022) - [i14]Xinyu Shi, Dong Wei, Yu Zhang, Donghuan Lu, Munan Ning, Jiashun Chen, Kai Ma, Yefeng Zheng:
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation. CoRR abs/2207.08549 (2022) - [i13]Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng:
A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays. CoRR abs/2209.01988 (2022) - [i12]Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng:
Lesion Guided Explainable Few Weak-shot Medical Report Generation. CoRR abs/2211.08732 (2022) - 2021
- [i11]Hong-Yu Zhou, Hualuo Liu, Shilei Cao, Dong Wei, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng:
Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation. CoRR abs/2103.16344 (2021) - [i10]Cong Xie, Shilei Cao, Dong Wei, Hongyu Zhou, Kai Ma, Xianli Zhang, Buyue Qian, Liansheng Wang, Yefeng Zheng:
RECIST-Net: Lesion detection via grouping keypoints on RECIST-based annotation. CoRR abs/2107.08715 (2021) - [i9]Munan Ning, Cheng Bian, Dong Wei, Chenglang Yuan, Yaohua Wang, Yang Guo, Kai Ma, Yefeng Zheng:
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework. CoRR abs/2108.07979 (2021) - [i8]Munan Ning, Donghuan Lu, Dong Wei, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Yefeng Zheng:
Multi-Anchor Active Domain Adaptation for Semantic Segmentation. CoRR abs/2108.08012 (2021) - [i7]Dong Wei, Kai Ma, Yefeng Zheng:
Training Automatic View Planner for Cardiac MR Imaging via Self-Supervision by Spatial Relationship between Views. CoRR abs/2109.11715 (2021) - [i6]Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification. CoRR abs/2110.04558 (2021) - [i5]Hengji Cui, Dong Wei, Kai Ma, Shi Gu, Yefeng Zheng:
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data. CoRR abs/2110.09260 (2021) - [i4]Quanziang Wang, Yuexiang Li, Dong Wei, Renzhen Wang, Kai Ma, Yefeng Zheng, Deyu Meng:
Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship. CoRR abs/2112.15402 (2021) - 2020
- [i3]Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng:
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation. CoRR abs/2003.07072 (2020) - [i2]Dong Wei, Shilei Cao, Kai Ma, Yefeng Zheng:
Learning and Exploiting Interclass Visual Correlations for Medical Image Classification. CoRR abs/2007.06371 (2020) - [i1]Hang Li, Dong Wei, Shilei Cao, Kai Ma, Liansheng Wang, Yefeng Zheng:
Superpixel-Guided Label Softening for Medical Image Segmentation. CoRR abs/2007.08897 (2020)
Coauthor Index
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