collaborators

6 papers

cs.CV2026

Improving Deep Learning-Based Target Volume Auto-Delineation for Adaptive MR-Guided Radiotherapy in Head and Neck Cancer: Impact of a Volume-Aware Dice Loss

Sogand Beirami, Zahra Esmaeilzadeh, Ahmed Gomaa +9

Background: Manual delineation of target volumes in head and neck cancer (HNC) remains a significant bottleneck in radiotherapy planning, characterized by high inter-observer varia…

cs.CV2025

Large-Scale Pre-training Enables Multimodal AI Differentiation of Radiation Necrosis from Brain Metastasis Progression on Routine MRI

Ahmed Gomaa, Annette Schwarz, Ludwig Singer +23

Background: Differentiating radiation necrosis (RN) from tumor progression after stereotactic radiosurgery (SRS) remains a critical challenge in brain metastases. While histopathol…

eess.IV2025

MTS-Net: Dual-Enhanced Positional Multi-Head Self-Attention for 3D CT Diagnosis of May-Thurner Syndrome

Yixin Huang, Yiqi Jin, Ke Tao +6

May-Thurner Syndrome (MTS) is a vascular condition that affects over 20\% of the population and significantly increases the risk of iliofemoral deep venous thrombosis. Accurate and…

q-bio.GN2025

GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes

Lina Qin, Cheng Zhu, Chuqi Zhou +8

Recent studies have shown that integrating multimodal data fusion techniques for imaging and genetic features is beneficial for the etiological analysis and predictive diagnosis of…

eess.IV2025

A Self-supervised Multimodal Deep Learning Approach to Differentiate Post-radiotherapy Progression from Pseudoprogression in Glioblastoma

Ahmed Gomaa, Yixing Huang, Pluvio Stephan +19

Accurate differentiation of pseudoprogression (PsP) from True Progression (TP) following radiotherapy (RT) in glioblastoma (GBM) patients is crucial for optimal treatment planning.…

physics.med-ph2025

Exploring the Capabilities and Limitations of Large Language Models for Radiation Oncology Decision Support

Florian Putz, Marlen Haderleina, Sebastian Lettmaier +3

Thanks to the rapidly evolving integration of LLMs into decision-support tools, a significant transformation is happening across large-scale systems. Like other medical fields, the…