Dong Wei
Orcid: 0000-0001-5969-6987Affiliations:
- Tencent Jarvis Lab, Shenzhen, Chin
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA (former)
- National University of Singapore, Singapore (PhD 2013)
According to our database1,
Dong Wei
authored at least 62 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
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., January, 2024
Relational Experience Replay: Continual Learning by Adaptively Tuning Task-Wise Relationship.
IEEE Trans. Multim., 2024
Self-supervised learning for medical image data with anatomy-oriented imaging planes.
Medical Image Anal., 2024
Hybrid unsupervised representation learning and pseudo-label supervised self-distillation for rare disease imaging phenotype classification with dispersion-aware imbalance correction.
Medical Image Anal., 2024
Triplet-branch network with contrastive prior-knowledge embedding for disease grading.
Artif. Intell. Medicine, 2024
FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Improving Medical Vision-Language Contrastive Pretraining With Semantics-Aware Triage.
IEEE Trans. Medical Imaging, December, 2023
Medical Image Anal., December, 2023
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023
Automatic view plane prescription for cardiac magnetic resonance imaging via supervision by spatial relationship between views.
CoRR, 2023
Gait Cycle-Inspired Learning Strategy for Continuous Prediction of Knee Joint Trajectory from sEMG.
CoRR, 2023
A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022
IEEE J. Biomed. Health Informatics, 2022
CoRR, 2022
mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022
Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
A Unified Framework for Generalized Low-Shot Medical Image Segmentation With Scarce Data.
IEEE Trans. Medical Imaging, 2021
Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship.
CoRR, 2021
CoRR, 2021
Training Automatic View Planner for Cardiac MR Imaging via Self-supervision by Spatial Relationship Between Views.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Generalized Organ Segmentation by Imitating One-Shot Reasoning Using Anatomical Correlation.
Proceedings of the Information Processing in Medical Imaging, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network.
IEEE Trans. Medical Imaging, 2020
Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank.
IEEE J. Biomed. Health Informatics, 2020
Learning and Exploiting Interclass Visual Correlations for Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network.
Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Deep convolutional neural networks for molecular subtyping of gliomas using magnetic resonance imaging.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
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., 2019
Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019
2017
Three-dimensional whole breast segmentation in sagittal MR images with dense depth field modeling and localized self-adaptation.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
2013
A Comprehensive 3-D Framework for Automatic Quantification of Late Gadolinium Enhanced Cardiac Magnetic Resonance Images.
IEEE Trans. Biomed. Eng., 2013
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., 2013
2011
Myocardial Segmentation of Late Gadolinium Enhanced MR Images by Propagation of Contours from Cine MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
2010
MTMR: A conceptual interior design framework integrating Mixed Reality with the Multi-Touch tabletop interface.
Proceedings of the 9th IEEE International Symposium on Mixed and Augmented Reality, 2010
2009
Investigating the Effects of Educational Game with Wii Remote on Outcomes of Learning.
Trans. Edutainment, 2009
TangiCube: introducing bi-directional interactivity with a virtual agent in a tangible mixed reality environment.
Proceedings of the International Conference on Advances in Computer Entertainment Technology, 2009