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Béatrice Cochener

LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

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Apr 10, 2024
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L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction

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Mar 24, 2024
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Generalizing deep learning models for medical image classification

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Mar 21, 2024
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DISCOVER: 2-D Multiview Summarization of Optical Coherence Tomography Angiography for Automatic Diabetic Retinopathy Diagnosis

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Jan 10, 2024
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Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation

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Oct 16, 2023
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LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image

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Oct 16, 2023
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Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images

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Oct 03, 2023
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Multimodal Information Fusion for Glaucoma and DR Classification

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Sep 05, 2022
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Detection of diabetic retinopathy using longitudinal self-supervised learning

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Sep 05, 2022
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Mapping the ocular surface from monocular videos with an application to dry eye disease grading

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Sep 05, 2022
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