most citedRethinking Brain Tumor Segmentation from the Frequency Domain Perspective

22 citations · 22 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

From Given to Gathered Evidence: Agentic Learning for Longitudinal Medical Reasoning

Minye Shao, Chaohui Yu, Yixuan Wu +6

Foundation models can serve as clinical agents through tool-use harnesses. However, conventional medical benchmarks assess reasoning over preselected evidence rather than the abili…

cs.CV2026

Two-Stage Cross-Domain Cervical Abnormality Screening with Cytopathological Image Synthesis and Knowledge Distillation

Jincheng Li, Yuzhi He, Yihui Zhan +6

Cross-domain diagnosis remains a major challenge in cervical cell pathology due to pronounced domain shifts across institutions and the subtle visual differences among disease stag…

cs.CV2025

vMFCoOp: Towards Equilibrium on a Unified Hyperspherical Manifold for Prompting Biomedical VLMs

Minye Shao, Sihan Guo, Xinrun Li +3

Recent advances in context optimization (CoOp) guided by large language model (LLM)-distilled medical semantic priors offer a scalable alternative to manual prompt engineering and…

cs.CV2025

TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency

Minye Shao, Xingyu Miao, Haoran Duan +7

3D medical image generation is essential for data augmentation and patient privacy, calling for reliable and efficient models suited for clinical practice. However, current methods…

eess.IV2025★ 22 cited

Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective

Minye Shao, Zeyu Wang, Haoran Duan +5

Precise segmentation of brain tumors, particularly contrast-enhancing regions visible in post-contrast MRI (areas highlighted by contrast agent injection), is crucial for accurate…