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20232026
most citedFederated Modality-specific Encoders and Partially Personalized Fusion Decoder for Multimodal Brain Tumor Segmentation

4 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026★ 4 cited

Federated Modality-specific Encoders and Partially Personalized Fusion Decoder for Multimodal Brain Tumor Segmentation

Hong Liu, Dong Wei, Qian Dai +3

Most existing federated learning (FL) methods for medical image analysis only considered intramodal heterogeneity, limiting their applicability to multimodal imaging applications.…

cs.CV2026

Structure Observation Driven Image-Text Contrastive Learning for Computed Tomography Report Generation

Hong Liu, Dong Wei, Qiong Peng +4

Computed Tomography Report Generation (CTRG) aims to automate the clinical radiology reporting process, thereby reducing the workload of report writing and facilitating patient car…

cs.CV2025

Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation

Zheng Wang, Hong Liu, Danyi Li +4

Survival analysis based on Whole Slide Images (WSIs) is crucial for evaluating cancer prognosis, as they offer detailed microscopic information essential for predicting patient out…

cs.CV2024

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

Jinghan Sun, Dong Wei, Zhe Xu +7

Anatomical abnormality detection and report generation of chest X-ray (CXR) are two essential tasks in clinical practice. The former aims at localizing and characterizing cardiopul…

cs.CV2024

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

Qian Dai, Dong Wei, Hong Liu +3

Most existing federated learning (FL) methods for medical image analysis only considered intramodal heterogeneity, limiting their applicability to multimodal imaging applications.…

eess.IV2023

Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retinal OCT Images with Full and Sparse Annotations

Hong Liu, Dong Wei, Donghuan Lu +3

Layer segmentation is important to quantitative analysis of retinal optical coherence tomography (OCT). Recently, deep learning based methods have been developed to automate this t…