18 citations · 25 across the 12 of their papers we have counts for
4 papers · 1 filter
Energy-Mamba: A Physics-Constrained State-Space Model for Medical Image Classification
Mohamed Mabrok, Yalda Zafari, Essam A. Rashed
State-Space Models (SSMs), particularly Mamba, offer linear-time complexity for long-range dependencies, making them attractive for medical imaging with limited annotated data. How…
BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization
Hongyi Pan, Gorkem Durak, Halil Ertugrul Aktas +18
Breast density classification is a critical component of breast cancer risk assessment, yet AI models often struggle to generalize across clinical sites due to vendor-specific acqu…
HamVision: Hamiltonian Dynamics as Inductive Bias for Medical Image Analysis
Mohamed A Mabrok
We present HamVision, a framework for medical image analysis that uses the damped harmonic oscillator, a fundamental building block of signal processing, as a structured inductive…
Latent Semantic Manifolds in Large Language Models
Mohamed A. Mabrok
Large Language Models (LLMs) perform internal computations in continuous vector spaces yet produce discrete tokens -- a fundamental mismatch whose geometric consequences remain poo…