Impact of image averaging on vessel detection using optical coherence tomography angiography in eyes with macular oedema and in healthy eyes von Le Boité, Hugo, Chetrit, Mardoche, Erginay, Ali, Bonnin, Sophie, Lavia, Carlo, Tadayoni, Ramin, Couturier, Aude

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Hybrid Fusion of High-Resolution and Ultra-Widefield OCTA Acquisitions for the Automatic Diagnosis of Diabetic Retinopathy von Li, Yihao, El Habib Daho, Mostafa, Conze, Pierre-Henri, Zeghlache, Rachid, Le Boité, Hugo, Bonnin, Sophie, Cosette, Deborah, Magazzeni, Stephanie, Lay, Bruno, Le Guilcher, Alexandre, Tadayoni, Ramin, Cochener, Béatrice, Lamard, Mathieu, Quellec, Gwenolé

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

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DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis von El Habib Daho, Mostafa, Li, Yihao, Zeghlache, Rachid, Boité, Hugo Le, Deman, Pierre, Borderie, Laurent, Ren, Hugang, Mannivanan, Niranchana, Lepicard, Capucine, Cochener, Béatrice, Couturier, Aude, Tadayoni, Ramin, Conze, Pierre-Henri, Lamard, Mathieu, Quellec, Gwenolé

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Is There a Nonperfusion Threshold on OCT Angiography Associated With New Vessels Detected on Ultra-Wide-Field Imaging in Diabetic Retinopathy? von Le Boité, Hugo, Gaudric, Alain, Erginay, Ali, Tadayoni, Ramin, Couturier, Aude

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VMseg: Using spatial variance to automatically segment retinal non-perfusion on OCT-angiography von LE Boite, Hugo, Couturier, Aude, Tadayoni, Ramin, Lamard, Mathieu, Quellec, Gwenolé

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Correlation between clinical examination and perineal ultrasound in women treated for pelvic organ prolapse von Maheut, Célia, Vernet, Thibaud, Le Boité, Hugo, Fernandez, Hervé, Capmas, Perrine

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

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Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation von Zeghlache, Rachid, Pierre-Henri Conze, Mostafa El Habib Daho, Li, Yihao, Hugo Le Boité, Tadayoni, Ramin, Massin, Pascal, Cochener, Béatrice, Ikram Brahim, Quellec, Gwenolé, Lamard, Mathieu

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DISCOVER: 2-D Multiview Summarization of Optical Coherence Tomography Angiography for Automatic Diabetic Retinopathy Diagnosis von Mostafa El Habib Daho, Li, Yihao, Zeghlache, Rachid, Hugo Le Boité, Deman, Pierre, Borderie, Laurent, Ren, Hugang, Mannivanan, Niranchana, Lepicard, Capucine, Cochener, Béatrice, Couturier, Aude, Tadayoni, Ramin, Pierre-Henri Conze, Lamard, Mathieu, Quellec, Gwenolé

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Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images von Mostafa El Habib Daho, Li, Yihao, Zeghlache, Rachid, Yapo, Cedric Atse, Hugo Le Boité, Bonnin, Sophie, Cosette, Deborah, Deman, Pierre, Borderie, Laurent, Lepicard, Capucine, Tadayoni, Ramin, Cochener, Béatrice, Pierre-Henri Conze, Lamard, Mathieu, Quellec, Gwenolé

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Impact of image averaging on vessel detection using optical coherence tomography angiography in eyes with macular oedema and in healthy eyes von Hugo Le Boité, Mardoche Chetrit, Ali Erginay, Sophie Bonnin, Carlo Lavia, Ramin Tadayoni, Aude Couturier

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

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LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image von Zeghlache, Rachid, Conze, Pierre-Henri, Daho, Mostafa El Habib, Li, Yihao, Le Boité, Hugo, Tadayoni, Ramin, Massin, Pascal, Cochener, Béatrice, Brahim, Ikram, Quellec, Gwenolé, Lamard, Mathieu

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Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images von El Habib Daho, Mostafa, Li, Yihao, Zeghlache, Rachid, Atse, Yapo Cedric, Le Boité, Hugo, Bonnin, Sophie, Cosette, Deborah, Deman, Pierre, Borderie, Laurent, Lepicard, Capucine, Tadayoni, Ramin, Cochener, Béatrice, Conze, Pierre-Henri, Lamard, Mathieu, Quellec, Gwenolé

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Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation von Zeghlache, Rachid, Conze, Pierre-Henri, Daho, Mostafa El Habib, Li, Yihao, Boité, Hugo Le, Tadayoni, Ramin, Massin, Pascal, Cochener, Béatrice, Brahim, Ikram, Quellec, Gwenolé, Lamard, Mathieu

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LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image von Zeghlache, Rachid, Pierre-Henri Conze, Mostafa El Habib Daho, Li, Yihao, Hugo Le boite, Tadayoni, Ramin, Massin, Pascal, Cochener, Béatrice, Ikram Brahim, Quellec, Gwenolé, Lamard, Mathieu

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

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LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression von Zeghlache, Rachid, Conze, Pierre-Henri, Daho, Mostafa El Habib, Li, Yihao, Boité, Hugo Le, Tadayoni, Ramin, Massin, Pascal, Cochener, Béatrice, Rezaei, Alireza, Brahim, Ikram, Quellec, Gwenolé, Lamard, Mathieu

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

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