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2020 – today
- 2024
[j2]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, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec:
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis. Artif. Intell. Medicine 149: 102803 (2024)- [j1]Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, Rachid Zeghlache, Hugo Le Boité, Ramin Tadayoni, Béatrice Cochener, Mathieu Lamard, Gwenolé Quellec:
A review of deep learning-based information fusion techniques for multimodal medical image classification. Comput. Biol. Medicine 177: 108635 (2024) - [c4]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:
LaTiM: Longitudinal Representation Learning in Continuous-Time Models to Predict Disease Progression. MICCAI (5) 2024: 404-414 - [i7]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, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec:
DISCOVER: 2-D Multiview Summarization of Optical Coherence Tomography Angiography for Automatic Diabetic Retinopathy Diagnosis. CoRR abs/2401.05137 (2024) - [i6]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:
L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction. CoRR abs/2403.16272 (2024) - [i5]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:
LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression. CoRR abs/2404.07091 (2024) - [i4]Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, Rachid Zeghlache, Hugo Le Boité, Ramin Tadayoni, Béatrice Cochener, Mathieu Lamard, Gwenolé Quellec:
A review of deep learning-based information fusion techniques for multimodal medical image classification. CoRR abs/2404.15022 (2024) - 2023
- [c3]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:
Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation. PRIME@MICCAI 2023: 1-13 - [c2]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, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec:
Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images. OMIA@MICCAI 2023: 11-20 - [c1]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:
LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image. MLMI@MICCAI (2) 2023: 22-32 - [i3]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, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec:
Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images. CoRR abs/2310.01912 (2023) - [i2]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:
LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image. CoRR abs/2310.10420 (2023) - [i1]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:
Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation. CoRR abs/2310.10431 (2023)
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