3 papers
eess.IV2026
Phenotyping TPF via Self-Supervised Learning: A Label-Agnostic Framework with Expert Validation
Miral Elnakib, Muhammad Saad, Ahmad Al-Kabbany
The full potential of artificial intelligence in tibial plateau fracture characterisation remains unrealised, constrained by a fundamental dependency on labelled datasets whose con…
cs.CV2026
Interpretable Aneurysm Classification via 3D Concept Bottleneck Models: Integrating Morphological and Hemodynamic Clinical Features
Toqa Khaled, Ahmad Al-Kabbany
We are concerned with the challenge of reliably classifying and assessing intracranial aneurysms using deep learning without compromising clinical transparency. While traditional b…
cs.CV2025
Efficiency vs. Efficacy: Assessing the Compression Ratio-Dice Score Relationship through a Simple Benchmarking Framework for Cerebrovascular 3D Segmentation
Shimaa Elbana, Ahmad Kamal, Shahd Ahmed Ali +1
The increasing size and complexity of medical imaging datasets, particularly in 3D formats, present significant barriers to collaborative research and transferability. This study i…