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Divide-and-Rule: Self- Supervised Learning for Survival Analysis in Colorectal Cancer

Jean-Philippe Thiran, Seyedbehzad Bozorgtabar, Christian Robert Abbet
2020
Conference Papers

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Jean-Philippe Thiran, Seyedbehzad Bozorgtabar, Christian Robert Abbet
2020
Conference Papers

Source officielle

Publications associées (14)

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https://infoscience.epfl.ch/entities/publication/a9ebf6b2-8c17-4604-9be0-7e70d5df7fa2

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Publications associées (14)

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Nonparametric network summaries

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This thesis is concerned with improving the interpretability of network summaries in both a theoretical and an applied framework, with an application to clinically relevant problems in neuroscience. The theoretical part of this thesis is concerned with gra ...

EPFL2025

Cross-Net: Joint In-Line Holographic Image Reconstruction and Refocusing

Haitao Zhou

Holography enables quantitative phase sensing through light wave interference, allowing interesting imaging modalities applied in computational microscopy where phase shift is used as a way to generate image contrast. Recovering both amplitude and phase di ...

Springer Science and Business Media Deutschland GmbH2025

From Prediction to Prescription: Machine Learning and Causal Inference for the Heterogeneous Treatment Effect

Elise Hélène Dumas

The increasing accumulation of medical data brings the hope of data-driven medical decision-making, but data's increasing complexity—as text or images in electronic health records—calls for complex models, such as machine learning. Here, we review how mach ...

Annual Reviews2025