output
20062026
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations

106 papers

physics.med-ph2026

Ridge-filter crosstalk in conformal proton FLASH planning: dependence on beamlet pitch and iterative mitigation

Zongsheng Hu, Yuting Li, Henry Meyer +5

Objective: Patient-specific ridge filters (PSRFs) can enable conformal single-energy proton FLASH delivery without energy switching. However, converting optimized spot-based dose d…

cs.CV2026

Synthetic Melanoma Image Generation and Evaluation Using Generative Adversarial Networks

Pei-Yu Lin, Yidan Shen, Neville Mathew +6

Melanoma is the most lethal form of skin cancer, and early detection is critical for improving patient outcomes. Although dermoscopy combined with deep learning has advanced automa…

physics.med-ph2026

Bi-level Multi-criteria Optimization for Risk-informed Radiotherapy

Mara Schubert, Katrin Teichert, Zhongxing Liao +2

In radiation therapy (RT) treatment planning, multi-criteria optimization (MCO) supports efficient plan selection but is usually solved for population-based dosimetric criteria and…

q-bio.QM2025

Foundation Models in Biomedical Imaging: Turning Hype into Reality

Amgad Muneer, Kai Zhang, Ibraheem Hamdi +6

Foundation models (FMs) are driving a prominent shift in biomedical imaging from task-specific models to unified backbone models for diverse tasks. This opens an avenue to integrat…

cs.CV2025

Patch Progression Masked Autoencoder with Fusion CNN Network for Classifying Evolution Between Two Pairs of 2D OCT Slices

Philippe Zhang, Weili Jiang, Yihao Li +13

Age-related Macular Degeneration (AMD) is a prevalent eye condition affecting visual acuity. Anti-vascular endothelial growth factor (anti-VEGF) treatments have been effective in s…

q-bio.QM2025

The Next Layer: Augmenting Foundation Models with Structure-Preserving and Attention-Guided Learning for Local Patches to Global Context Awareness in Computational Pathology

Muhammad Waqas, Rukhmini Bandyopadhyay, Eman Showkatian +12

Foundation models have recently emerged as powerful feature extractors in computational pathology, yet they typically omit mechanisms for leveraging the global spatial structure of…