activity
20202026
most citedDeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT

67 citations · 385 across the 32 of their papers we have counts for

collaborators
Showing 2026Show all

7 papers · 1 filter

eess.IV2026

Really Need Recursion? Revisiting One-pass Registration with Multi-level Multi-space Contextual Guidance

Yue Lin, Shenghai Wu, Mingyuan Meng

Deformable image registration is a fundamental challenge in medical image analysis. Recent deep learning-based methods typically adopt either one-pass architectures that complete r…

eess.IV2026

Case-Specific Priors-Guided Multimodal Fusion for Prognosis Prediction in Head and Neck Cancer

Yue Lin, Shuchang Ye, Shenghai Wu +2

Accurate prognosis prediction for head and neck cancer typically necessitates integrating highly heterogeneous clinical and pathological evidence by sophisticated multimodal fusion…

cs.CV2026

CoMLP: Cooperatively-Gated MLPs for Fine-Grained Cross-Modal Information Fusion in Medical Image Segmentation

Mingyuan Meng, Shuchang Ye, Mingjian Li +3

Multi-modal medical images and clinical reports provide complementary anatomical, functional, and semantic information for medical image segmentation. Effectively exploiting these…

cs.CV2026

Localization-Infused Vision-Language Semantic Fusion for Text-Guided Medical Image Segmentation

Songyue Han, Mingye Zou, Shuchang Ye +2

Medical image segmentation is essential for modern computer-aided medicine. Recently, text-guided segmentation has shown promise by incorporating clinician-formulated textual repor…

cs.CV2026

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT

Numan Saeed, Salma Hassan, Shahad Hardan +27

Head and neck cancers (HNC) represent a significant global health burden, with accurate tumor delineation being essential for effective radiotherapy planning. The complexity of the…

cs.AI2026★ 1 cited

Towards World Models in Biomedical Research

Guangyu Wang, Jingkun Yue, Siqi Zhang +19

A central goal of biomedicine is to understand, predict and ultimately control the dynamic mechanisms by which biological systems respond to perturbations, disease progression and…

cs.CV2026

RadGenome-Anatomy: A Large-Scale Anatomy-Labeled Chest Radiograph Dataset via Physically Grounded Volumetric Projection

Shuchang Ye, Mingyuan Meng, Hao Wang +2

Anatomical structure labels for chest radiographs are essential for medical image segmentation and a broad range of downstream diagnostic tasks. However, annotating anatomy directl…