collaborators

6 papers

eess.IV2026

Portable Medical Imaging in Modern Healthcare: Fundamentals, AI-Based Taxonomy, Image Quality, and Open Challenges

Yassine Habchi, Hamza Kheddar, Muhammad Ali Qureshi +2

Portable medical imaging (PMI) has emerged as an important solution for point-of-care diagnosis in emergency, rural, and resource-limited settings where conventional imaging infras…

cs.CV2025

A Novel Hybrid Deep Learning and Chaotic Dynamics Approach for Thyroid Cancer Classification

Nada Bouchekout, Abdelkrim Boukabou, Morad Grimes +5

Timely and accurate diagnosis is crucial in addressing the global rise in thyroid cancer, ensuring effective treatment strategies and improved patient outcomes. We present an intel…

cs.CV2025

Recent Advances in Transformer and Large Language Models for UAV Applications

Hamza Kheddar, Yassine Habchi, Mohamed Chahine Ghanem +2

The rapid advancement of Transformer-based models has reshaped the landscape of uncrewed aerial vehicle (UAV) systems by enhancing perception, decision-making, and autonomy. This r…

eess.IV2025

Deep Transfer Learning for Kidney Cancer Diagnosis

Yassine Habchi, Hamza Kheddar, Yassine Himeur +5

Incurable diseases continue to pose major challenges to global healthcare systems, with their prevalence shaped by lifestyle, economic, social, and genetic factors. Among these, ki…

cs.LG2025

Machine Learning and Transformers for Thyroid Carcinoma Diagnosis: A Review

Yassine Habchi, Hamza Kheddar, Yassine Himeur +1

The growing interest in developing smart diagnostic systems to help medical experts process extensive data for treating incurable diseases has been notable. In particular, the chal…

eess.IV2025

Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection

Yassine Habchi, Hamza Kheddar, Yassine Himeur +4

The rapid advancement of deep learning (DL) has transformed healthcare, particularly in cancer detection and diagnosis. DL surpasses traditional machine learning and human accuracy…