Machine Learning Tool for Automatic ASA Detection. - Mohammed El Amine Lazouni; Mostafa El Habib Daho; Nesma Settouti; Mohammed Amine Chikh; Saïd Mahmoudi (Modeling Approaches and Algorithms for Advanced Computer Applications, 2013)

Weighted vote for trees aggregation in Random Forest. - Mostafa El Habib Daho; Nesma Settouti; Mohammed El Amine Lazouni; Mohammed Amine Chikh (ICMCS, 2014)

Automatic detection of difficult tracheal intubation. - Mohammed El Amine Lazouni; Nesma Settouti; Mostafa El Habib Daho; Saïd Mahmoudi; Mohammed Amine Chikh (ICMCS, 2014)

Using conditional inference forest to identify variable importance. - Nesma Settouti; Mostafa El Habib Daho; Mohammed Amine Chikh (Int. J. Bioinform. Res. Appl., 2017)

Comparaison of Ensemble Cost Sensitive Algorithms: Application to Credit Scoring Prediction. - Meryem Saidi; Mostafa El Habib Daho; Nesma Settouti; Mohammed El Amine Bechar (ICAASE, 2018)

Semi-supervised Super-pixels classification for White Blood Cells segmentation. - Mohammed El Amine Bechar; Nesma Settouti; Mostafa El Habib Daho; Mohammed Amine Chikh (PAIS, 2018)

Semi-Supervised learning with Collaborative Bagged Multi-label K-Nearest-Neighbors. - Nesma Settouti; Khalida Douibi; Mohammed El Amine Bechar; Mostafa El Habib Daho; Meryem Saidi (Open Comput. Sci., 2019)

Epileptic Seizure Detection from EEG Signal Using the Imbalanced Data Techniques. - Romaissa Debeche; Mostafa El Habib Daho; Mohammed Amine Chikh (CSA, 2020)

An instance and variable selection approach in pixel-based classification for automatic white blood cells segmentation. - Nesma Settouti; Meryem Saidi; Mohammed El Amine Bechar; Mostafa El Habib Daho; Mohammed Amine Chikh (Pattern Anal. Appl., 2020)

A new correlation-based approach for ensemble selection in random forests. - Mostafa El Habib Daho; Nesma Settouti; Mohammed El Amine Bechar; Amina Boublenza; Mohammed Amine Chikh (Int. J. Intell. Comput. Cybern., 2021)

Deep transfer learning based classification model for covid-19 using chest CT-scans. - Ilyas Lahsaini; Mostafa El Habib Daho; Mohamed Amine Chikh (Pattern Recognit. Lett., 2021)

Multimodal Information Fusion for Glaucoma and Diabetic Retinopathy Classification. - Yihao Li; Mostafa El Habib Daho; Pierre-Henri Conze; Hassan Al Hajj; Sophie Bonnin; Hugang Ren; Niranchana Manivannan; Stephanie Magazzeni; Ramin Tadayoni; Béatrice Cochener; Mathieu Lamard; Gwenolé Quellec (OMIA@MICCAI, 2022)

Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy. - Yihao Li; Rachid Zeghlache; Ikram Brahim; Hui Xu; Yubo Tan; Pierre-Henri Conze; Mathieu Lamard; Gwenolé Quellec; Mostafa El Habib Daho (MIDOG/DRAC@MICCAI, 2022)

Detection of Diabetic Retinopathy Using Longitudinal. - Rachid Zeghlache; Pierre-Henri Conze; Mostafa El Habib Daho; Ramin Tadayoni; Pascale Massin; Béatrice Cochener; Gwenolé Quellec; Mathieu Lamard (OMIA@MICCAI, 2022)

Detection of diabetic retinopathy using longitudinal self-supervised learning. - Rachid Zeghlache; Pierre-Henri Conze; Mostafa El Habib Daho; Ramin Tadayoni; Pascale Massin; Béatrice Cochener; Gwenolé Quellec; Mathieu Lamard (CoRR, 2022)

Multimodal Information Fusion for Glaucoma and DR Classification. - Yihao Li; Mostafa El Habib Daho; Pierre-Henri Conze; Hassan Al Hajj; Sophie Bonnin; Hugang Ren; Niranchana Manivannan; Stephanie Magazzeni; Ramin Tadayoni; Béatrice Cochener; Mathieu Lamard; Gwenolé Quellec (CoRR, 2022)

Multiple classifier system for remotely sensed data clustering. - Lamia Fatma Houbaba Chaouche Ramdane; Habib Mahi; Mostafa El Habib Daho; Mohammed El Amine Lazouni (IET Image Process., 2022)

Feature Extraction using CNN for Peripheral Blood Cells Recognition. - Mohammed Ammar; Mostafa El Habib Daho; Khaled Harrar; Amel Laidi (EAI Endorsed Trans. Scalable Inf. Syst., 2022)

GAN Data Augmentation for Improved Automated Atherosclerosis Screening from Coronary CT Angiography. - Amel Laidi; Mohammed Ammar; Mostafa El Habib Daho; Saïd Mahmoudi (EAI Endorsed Trans. Scalable Inf. Syst., 2022)

Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images. - Mostafa El Habib Daho; Yihao Li; Rachid Zeghlache; Yapo Cedric Atse; Hugo Le Boité; Sophie Bonnin; Deborah Cosette; Pierre Deman; Laurent Borderie; Capucine Lepicard; Ramin Tadayoni; Béatrice Cochener; et al. (OMIA@MICCAI, 2023)

Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction. - Yihao Li; Philippe Zhang; Yubo Tan; Jing Zhang; Zhihan Wang; Weili Jiang; Pierre-Henri Conze; Mathieu Lamard; Gwenolé Quellec; Mostafa El Habib Daho (MMAC@MICCAI, 2023)

Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation. - Rachid Zeghlache; Pierre-Henri Conze; Mostafa El Habib Daho; Yihao Li; Hugo Le Boité; Ramin Tadayoni; Pascale Massin; Béatrice Cochener; Ikram Brahim; Gwenolé Quellec; Mathieu Lamard (PRIME@MICCAI, 2023)

LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image. - Rachid Zeghlache; Pierre-Henri Conze; Mostafa El Habib Daho; Yihao Li; Hugo Le Boité; Ramin Tadayoni; Pascale Massin; Béatrice Cochener; Ikram Brahim; Gwenolé Quellec; Mathieu Lamard (MLMI@MICCAI (2), 2023)

Toward an automatic detection of cardiac structures in short and long axis views. - Amel Laidi; Mohammed Ammar; Mostafa El Habib Daho; Saïd Mahmoudi (Biomed. Signal Process. Control., 2023)

DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images. - Bo Qian; Hao Chen 011; Xiangning Wang; Haoxuan Che; Gitaek Kwon; Jaeyoung Kim; Sungjin Choi; Seoyoung Shin; Felix Krause 002; Markus Unterdechler; Junlin Hou; Rui Feng 001; et al. (CoRR, 2023)

Detection and Classification of Glaucoma in the Justraigs Challenge: Achievements in Binary and Multilabel Classification. - Philippe Zhang; Yihao Li; Jing Zhang; Weili Jiang; Pierre-Henri Conze; Mathieu Lamard; Gwenolé Quellec; Mostafa El Habib Daho (ISBI, 2024)

LaTiM: Longitudinal Representation Learning in Continuous-Time Models to Predict Disease Progression. - Rachid Zeghlache; Pierre-Henri Conze; Mostafa El Habib Daho; Yihao Li; Hugo Le Boité; Ramin Tadayoni; Pascale Massin; Béatrice Cochener; Alireza Rezaei; Ikram Brahim; Gwenolé Quellec; Mathieu Lamard (MICCAI (5), 2024)

Deep Learning-Based Detection of Referable Diabetic Retinopathy and Macular Edema Using Ultra-widefield Fundus Imaging. - Philippe Zhang; Pierre-Henri Conze; Mathieu Lamard; Béatrice Cochener; Gwenolé Quellec; Mostafa El Habib Daho (UWF4DR@MICCAI, 2024)

DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis. - Mostafa El Habib Daho; Yihao Li; Rachid Zeghlache; Hugo Le Boité; Pierre Deman; Laurent Borderie; Hugang Ren; Niranchana Manivannan; Capucine Lepicard; Béatrice Cochener; Aude Couturier; Ramin Tadayoni; et al. (Artif. Intell. Medicine, 2024)

A review of deep learning-based information fusion techniques for multimodal medical image classification. - Yihao Li; Mostafa El Habib Daho; Pierre-Henri Conze; Rachid Zeghlache; Hugo Le Boité; Ramin Tadayoni; Béatrice Cochener; Mathieu Lamard; Gwenolé Quellec (Comput. Biol. Medicine, 2024)

Deep Learning-Based Detection of Referable Diabetic Retinopathy and Macular Edema Using Ultra-Widefield Fundus Imaging. - Philippe Zhang; Pierre-Henri Conze; Mathieu Lamard; Gwenolé Quellec; Mostafa El Habib Daho (CoRR, 2024)

DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images. - Bo Qian; Hao Chen 011; Xiangning Wang; Zhouyu Guan; Tingyao Li; Yixiao Jin; Yilan Wu; Yang Wen; Haoxuan Che; Gitaek Kwon; Jaeyoung Kim; Sungjin Choi; et al. (Patterns, 2024)

L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction. - Rachid Zeghlache; Pierre-Henri Conze; Mostafa El Habib Daho; Yihao Li; Alireza Rezaei; Hugo Le Boité; Ramin Tadayoni; Pascale Massin; Béatrice Cochener; Ikram Brahim; Gwenolé Quellec; Mathieu Lamard (Comput. Biol. Medicine, 2025)

Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO AMD Progression Challenge. - Rachid Zeghlache; Ikram Brahim; Pierre-Henri Conze; Mathieu Lamard; Mohammed El Amine Lazouni; Elaouaber Zineb Aziza; Leila Ryma Lazouni; Christopher Nielsen; Ahmad O. Ahsan; Matthias Wilms; Nils D. Forkert; Lovre Antonio Budimir; et al. (CoRR, 2025)