Theo dõi
Rachid, Youven Zeghlache
Rachid, Youven Zeghlache
Tên khácRachid zeghlache
Phd Student, LaTIM-u1101
Email được xác minh tại univ-brest.fr
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
A review of deep learning-based information fusion techniques for multimodal medical image classification
Y Li, MEH Daho, PH Conze, R Zeghlache, H Le Boité, R Tadayoni, ...
Computers in Biology and Medicine, 108635, 2024
282024
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis
MEH Daho, Y Li, R Zeghlache, H Le Boité, P Deman, L Borderie, H Ren, ...
Artificial Intelligence in Medicine 149, 102803, 2024
92024
Improved automatic diabetic retinopathy severity classification using deep multimodal fusion of UWF-CFP and OCTA images
M El Habib Daho, Y Li, R Zeghlache, YC Atse, H Le Boité, S Bonnin, ...
International Workshop on Ophthalmic Medical Image Analysis, 11-20, 2023
92023
Segmentation, classification, and quality assessment of UW-octa images for the diagnosis of diabetic retinopathy
Y Li, R Zeghlache, I Brahim, H Xu, Y Tan, PH Conze, M Lamard, ...
MICCAI Challenge on Mitosis Domain Generalization, 146-160, 2022
92022
Detection of diabetic retinopathy using longitudinal self-supervised learning
R Zeghlache, PH Conze, MEH Daho, R Tadayoni, P Massin, B Cochener, ...
International Workshop on Ophthalmic Medical Image Analysis, 43-52, 2022
92022
Longitudinal self-supervised learning using neural ordinary differential equation
R Zeghlache, PH Conze, MEH Daho, Y Li, HL Boité, R Tadayoni, ...
International Workshop on PRedictive Intelligence In MEdicine, 1-13, 2023
62023
Hybrid fusion of high-resolution and ultra-widefield OCTA acquisitions for the automatic diagnosis of diabetic retinopathy
Y Li, M El Habib Daho, PH Conze, R Zeghlache, H Le Boité, S Bonnin, ...
Diagnostics 13 (17), 2770, 2023
62023
Lmt: Longitudinal mixing training, a framework to predict disease progression from a single image
R Zeghlache, PH Conze, MEH Daho, Y Li, H Le Boité, R Tadayoni, ...
International Workshop on Machine Learning in Medical Imaging, 22-32, 2023
52023
Driver vigilance estimation with Bayesian LSTM Auto-encoder and XGBoost using EEG/EOG data
R Zeghlache, MA Labiod, A Mellouk
IFAC-PapersOnLine 55 (8), 89-94, 2022
32022
Time-aware deep models for predicting diabetic retinopathy progression
R zeghlache, P Conze, MELH DAHO, Y LI, I Brahim, H Le Boité, P Massin, ...
Investigative Ophthalmology & Visual Science 64 (8), 246-246, 2023
22023
3-D analysis of multiple OCTA acquisitions for the automatic diagnosis of diabetic retinopathy
Y LI, MELH DAHO, P Conze, R Zeghlache, H Ren, C Lepicard, P Deman, ...
Investigative Ophthalmology & Visual Science 64 (8), 279-279, 2023
22023
LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression
R Zeghlache, PH Conze, M El Habib Daho, Y Li, H Le Boité, R Tadayoni, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2024
12024
Cross-Device AI Fusion: Enhancing Diabetic Retinopathy Diagnosis with Combined Clarus and Optos Images
MELH DAHO, Y Li, R Zeghlache, A Rezaei, H Le Boité, A Couturier, ...
Investigative Ophthalmology & Visual Science 65 (7), 5630-5630, 2024
12024
L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction
R Zeghlache, PH Conze, MEH Daho, Y Li, A Rezaei, H Le Boité, ...
Computers in Biology and Medicine 185, 109508, 2025
2025
Sjögren's Syndrome Diagnosis Using Dry Eye Clinical Data using Deep Learning
M Lamard, AA Benyoussef, R Zeghlache, D Cornec, I Brahim
Investigative Ophthalmology & Visual Science 65 (7), 5727-5727, 2024
2024
AB0800 DIAGNOSING SJOGREN’S SYNDROME: A MULTI-MODAL DEEP LEARNING APPROACH WITH HISTOPATHOLOGIC IMAGES AND CLINICAL DATA
I Brahim, A Uguen, R Zeghlache, V Devauchelle-Pensec, D Cornec
Annals of the Rheumatic Diseases 83, 1694, 2024
2024
Performance of two ultra-widefield retinal imaging systems for the automatic diagnosis of diabetic retinopathy
MELH DAHO, R Zeghlache, Y LI, H Le Boité, S Bonnin, S Magazzeni, ...
Investigative Ophthalmology & Visual Science 64 (8), 251-251, 2023
2023
Automated Multimodal Severity Assessment of Diabetic Retinopathy Using Ultra-Widefield Color Fundus Photography and Clinical Tabular Data
A Rezaei, R Zeghlache, PH Conze, C Lepicard, P Deman, L Borderie, ...
Available at SSRN 5143621, 0
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