Rachid (Youven) Zeghlache
Post-doc at IMT Atlantique
Post-doc at IMT Atlantique, France. Researching in the field of machine learning and its applications.
11
Publications
147
Citations
6
h-Index
Latest News
- Nov 15, 2024 AI Symposium 2024 Announced
- Oct 01, 2024 New Research Grant Awarded
- Sep 20, 2024 Machine Learning Workshop for Graduate Students
- Sep 20, 2024 Machine Learning Workshop for Graduate Students
Research Highlights
Current and past research initiatives
Deep Learning for Retinal Degeneration Assessment: The MARIO AMD Progression Challenge
A comprehensive analysis of the MARIO challenge held at MICCAI 2024, evaluating AI algorithms for detecting and monitoring age-related macular degeneration progression using OCT imaging.
Read moreNeural ODEs for Disease Progression Modeling
Developing Neural Ordinary Differential Equations to model and predict diabetic retinopathy progression.
Read moreRecent Publications
Published research works and academic papers
Automated classification of tertiary lymphoid structures in colorectal cancer using TLS-PAT artificial intelligence tool
Scientific Reports
Automated Multimodal Severity Assessment of Diabetic Retinopathy Using Ultra-Widefield Color Fundus Photography and Clinical Tabular Data
Available at SSRN 5143621
L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction
Computers in Biology and Medicine
A review of deep learning-based information fusion techniques for multimodal medical image classification
Computers in Biology and Medicine
AB0800 DIAGNOSING SJOGREN’S SYNDROME: A MULTI-MODAL DEEP LEARNING APPROACH WITH HISTOPATHOLOGIC IMAGES AND CLINICAL DATA
Annals of the Rheumatic Diseases