18 citations · 25 across the 12 of their papers we have counts for
14 papers
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…
Controllability Analysis of State Space-based Language Model
Mohamed Mabrok, Yalda Zafari
State-space models (SSMs), particularly Mamba, have become powerful architectures for sequence modeling, yet their internal dynamics remain poorly understood compared to attention-…
X-VMamba: Explainable Vision Mamba
Mohamed A. Mabrok, Yalda Zafari
State Space Models (SSMs), particularly the Mamba architecture, have recently emerged as powerful alternatives to Transformers for sequence modeling, offering linear computational…
MammoClean: Toward Reproducible and Bias-Aware AI in Mammography through Dataset Harmonization
Yalda Zafari, Hongyi Pan, Gorkem Durak +3
The development of clinically reliable artificial intelligence (AI) systems for mammography is hindered by profound heterogeneity in data quality, metadata standards, and populatio…
A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion
Yalda Zafari, Roaa Elalfy, Mohamed Mabrok +3
Early and accurate interpretation of screening mammograms is essential for effective breast cancer detection, yet it remains a complex challenge due to subtle imaging findings and…
Neuro-TransUNet: Segmentation of stroke lesion in MRI using transformers
Muhammad Nouman, Mohamed Mabrok, Essam A. Rashed
Accurate segmentation of the stroke lesions using magnetic resonance imaging (MRI) is associated with difficulties due to the complicated anatomy of the brain and the different pro…
Transformers-based architectures for stroke segmentation: A review
Yalda Zafari-Ghadim, Essam A. Rashed, Mohamed Mabrok
Stroke remains a significant global health concern, necessitating precise and efficient diagnostic tools for timely intervention and improved patient outcomes. The emergence of dee…
Deep models for stroke segmentation: do complex architectures always perform better?
Yalda Zafari-Ghadim, Ahmed Soliman, Yousif Yousif +3
Stroke segmentation plays a crucial role in the diagnosis and treatment of stroke patients by providing spatial information about affected brain regions and the extent of damage. S…
Koopman Operator Approximation under Negative Imaginary Constraints
M. A. Mabrok, Ilyasse Aksikas, Nader Meskin
Nonlinear Negative Imaginary (NI) systems arise in various engineering applications, such as controlling flexible structures and air vehicles. However, unlike linear NI systems, th…
Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems
Vu Phi Tran, M. A Mabrok, Sreenatha G. Anavatti +2
Quadrotors are one of the popular unmanned aerial vehicles (UAVs) due to their versatility and simple design. However, the tuning of gains for quadrotor flight controllers can be l…
Passivity Analysis of Replicator Dynamics and its Variations
Mohamed Mabrok
In this paper, we focus on studying the passivity properties of different versions of replicator dynamics (RD). RD is an important class of evolutionary dynamics in evolutionary ga…