魏栋

2026

清代至民国时期阴山地区铁钟田野调查与文本阐释

《阴山学刊》

DOI

2026

Leveraging Text-Modulated Semantic Guidance for Low-Light Endoscopic Image Enhancement

IEEE Transactions on Medical Imaging

DOI

2026

Multimodal Dual-Path Decoding for Medical Report Generation

Annual Meeting of the Association for Computational Linguistics

DOI

2026

An Effective Semi-Subject-Independent sEMG-Based Learning Framework to Continuously Predict Knee Joint Trajectory.

IEEE Transactions on Cybernetics

DOI

2025

OpenDUN: To Discover Unknown Number of Visual Categories

IEEE International Conference on Multimedia and Expo

DOI

2025

Braineditor: Structure-Disentangled Brain MRI Synthesis via Natural Language Prompted Diffusion Image Editing

IEEE International Symposium on Biomedical Imaging

DOI

2025

Adaptive Weighting Based Metal Artifact Reduction in CT Images

IEEE Transactions on Medical Imaging

DOI

2025

Federated modality-specific encoders and partially personalized fusion decoder for multimodal brain tumor segmentation

Medical Image Anal.

DOI

2025

GM-ABS: Promptable Generalist Model Drives Active Barely Supervised Training in Specialist Model for 3D Medical Image Segmentation

IEEE Transactions on Medical Imaging

DOI

2025

D-VST: Diffusion Transformer for Pathology-Correct Tone-Controllable Cross-Dye Virtual Staining of Whole Slide Images

Neural Information Processing Systems

DOI

2024

简牍文献的病害类型及相应保护修复对策

《文物保护与考古科学》，Vol. 36, No. 5

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2024

清华简《两中》夏启受命“枳山之阳”与上博简《鬼神之明》商纣“捷于只社”探研

《出土文献》，No. 4

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2024

炭化简牍保护修复研究述论

《江汉考古》

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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.

DOI

2024

FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2024

Triplet-branch network with contrastive prior-knowledge embedding for disease grading

Artif. Intell. Medicine

DOI

2024

MoME: Mixture of Multimodal Experts for Cancer Survival Prediction

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2024

Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation

IEEE Transactions on Medical Imaging

DOI

2024

Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2024

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

AAAI Conference on Artificial Intelligence

DOI

2024

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

Medical Image Anal.

DOI

2023

略论饱水简牍的长期保存方式问题

《出土文献》，No. 1

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2023

A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2023

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.

DOI

2023

TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2023

Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2023

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

AAAI Conference on Artificial Intelligence

DOI

2023

Gait Cycle-Inspired Learning Strategy for Continuous Prediction of Knee Joint Trajectory from sEMG

arXiv.org

DOI

2023

MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2023

A deep weakly semi-supervised framework for endoscopic lesion segmentation

Medical Image Anal.

DOI

2023

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

IEEE International Symposium on Biomedical Imaging

DOI

2023

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

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2023

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

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2023

Improving Medical Vision-Language Contrastive Pretraining With Semantics-Aware Triage

IEEE Transactions on Medical Imaging

DOI

2023

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

Medical Physics (Lancaster)

DOI

2022

Optimal attention management: A tractable framework

Games And Economic Behavior，Vol. 1330

DOI

2022

Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2022

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

AAAI Conference on Artificial Intelligence

DOI

2022

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

arXiv.org

DOI

2022

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

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2022

An Inclusive Task-Aware Framework for Radiology Report Generation

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2022

Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2022

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

European Conference on Computer Vision

DOI

2022

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

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2021

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

IEEE International Symposium on Biomedical Imaging

DOI

2021

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

IEEE Transactions on Medical Imaging

DOI

2021

Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation

IEEE International Symposium on Biomedical Imaging

DOI

2021

Relational Experience Replay: Continual Learning by Adaptively Tuning Task-Wise Relationship

IEEE transactions on multimedia

DOI

2021

Multi-Anchor Active Domain Adaptation for Semantic Segmentation

IEEE International Conference on Computer Vision

DOI

2021

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

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2021

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

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2021

Mix-and-Interpolate: A Training Strategy to Deal With Source-Biased Medical Data

IEEE journal of biomedical and health informatics

DOI

2021

A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework

Information Processing in Medical Imaging

DOI

2021

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

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2021

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

AAAI Conference on Artificial Intelligence

DOI

2021

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

Information Processing in Medical Imaging

DOI

2020

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

IEEE Transactions on Medical Imaging

DOI

2020

Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network

CADA@MICCAI

DOI

2020

Deep convolutional neural networks for molecular subtyping of gliomas using magnetic resonance imaging

Medical Imaging

DOI

2020

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

IEEE journal of biomedical and health informatics

DOI

2020

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

Computer Vision and Pattern Recognition

DOI

2020

Superpixel-Guided Label Softening for Medical Image Segmentation

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2020

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

IEEE Transactions on Medical Imaging

DOI

2020

Learning and Exploiting Interclass Visual Correlations for Medical Image Classification

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2020

Fully Automatic Quantification of Fibroglandular Tissue and Background Parenchymal Enhancement with Accurate Implementation for Axial and Sagittal Breast MRI Protocols

Medical Physics (Lancaster)

DOI

2020

Molecular subtyping of diffuse gliomas using magnetic resonance imaging: comparison and correlation between radiomics and deep learning

European Radiology

DOI

2019

Subset-Guided Consistency Enhancement Assessment Criterion for an Imageset Without Reference

IEEE Access

DOI

2019

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

MMMI@MICCAI

DOI

2018

清华简《治邦之道》篇补释

《清华大学学报(哲学社会科学版)》，No. 6

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2018

清华简《楚居》阙文试补

《文献》，No. 3

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2018

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 Transactions on Biomedical Engineering

DOI

2018

Automatic segmentation of fibroglandular tissue in breast MRI using anatomy-driven three-dimensional spatial context

Medical Imaging

DOI

2017

Three-dimensional whole breast segmentation in sagittal MR images with dense depth field modeling and localized self-adaptation

Medical Imaging

DOI

2015

Medical Image Segmentation and Its Application in Cardiac MRI

DOI

2013

A Comprehensive 3-D Framework for Automatic Quantification of Late Gadolinium Enhanced Cardiac Magnetic Resonance Images

IEEE Transactions on Biomedical Engineering

DOI

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.

DOI

2011

Myocardial Segmentation of Late Gadolinium Enhanced MR Images by Propagation of Contours from Cine MR Images

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2025

Incentivizing Knowledge Transfers

arXiv preprint

2024

Turning the Ratchet: Dynamic Screening with Multiple Agents

arXiv preprint