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20232026
most citedLarge-vocabulary forensic pathological analyses via prototypical cross-modal contrastive learning

12 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Through the Schrödinger Bridge: Benchmarking Antemortem Image Restoration from Postmortem Autolysis to Enhance Forensic Diagnostics

Shuang Hao, Jiacheng Yue, Yaxuan Zhao +4

Forensic histopathology, essential for determining cause of death and disease diagnosis, is severely impeded by postmortem autolysis, i.e., an irreversible, stochastic degradation…

cs.CV2026

GLI-AL: A Multi-Modal Glioma MRI Label Resource with Unified Anatomy-Lesion Labels

Xingyu Xiang, Shuang Hao, Fan Wang +2

Existing BraTS-GLI datasets provide a widely used benchmark for adult glioma MRI segmentation, but their task definition focuses on tumor subregions and does not systematically rep…

cs.CV2026

DuMeta++: Spatiotemporal Dual Meta-Learning for Generalizable Few-Shot Brain Tissue Segmentation Across Diverse Ages

Yongheng Sun, Jun Shu, Jianhua Ma +1

Accurate segmentation of brain tissues from MRI scans is critical for neuroscience and clinical applications, but achieving consistent performance across the human lifespan remains…

eess.IV2024★ 12 cited

Large-vocabulary forensic pathological analyses via prototypical cross-modal contrastive learning

Chen Shen, Chunfeng Lian, Wanqing Zhang +11

Forensic pathology is critical in determining the cause and manner of death through post-mortem examinations, both macroscopic and microscopic. The field, however, grapples with is…

eess.IV2023

Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning

Zehua Ren, Yongheng Sun, Miaomiao Wang +6

Accurate segmentation of punctate white matter lesions (PWMLs) are fundamental for the timely diagnosis and treatment of related developmental disorders. Automated PWMLs segmentati…