Dong Wei

Orcid: 0000-0001-5969-6987

Affiliations:
  • 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 54 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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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

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

A deep weakly semi-supervised framework for endoscopic lesion segmentation.
Medical Image Anal., December, 2023

MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation.
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

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

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

Mix-and-Interpolate: A Training Strategy to Deal With Source-Biased Medical Data.
IEEE J. Biomed. Health Informatics, 2022

A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays.
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

Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images.
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

An Inclusive Task-Aware Framework for Radiology Report Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Lesion Guided Explainable Few Weak-Shot Medical Report Generation.
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

A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework.
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

Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Recist-Net: Lesion Detection Via Grouping Keypoints On Recist-Based Annotation.
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

A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework.
Proceedings of the Information Processing in Medical Imaging, 2021

Multi-Anchor Active Domain Adaptation for Semantic Segmentation.
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

Superpixel-Guided Label Softening for Medical Image Segmentation.
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

OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images.
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


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