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Manuel Schürch

Learning Personalized Treatment Decisions in Precision Medicine: Disentangling Treatment Assignment Bias in Counterfactual Outcome Prediction and Biomarker Identification

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Oct 01, 2024
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Semi-Supervised Generative Models for Disease Trajectories: A Case Study on Systemic Sclerosis

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Jul 16, 2024
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Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes

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May 06, 2024
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Towards AI-Based Precision Oncology: A Machine Learning Framework for Personalized Counterfactual Treatment Suggestions based on Multi-Omics Data

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Feb 19, 2024
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Modeling Complex Disease Trajectories using Deep Generative Models with Semi-Supervised Latent Processes

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Nov 17, 2023
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Dynamic Local Attention with Hierarchical Patching for Irregular Clinical Time Series

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Nov 13, 2023
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Generating Personalized Insulin Treatments Strategies with Deep Conditional Generative Time Series Models

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Sep 28, 2023
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SimTS: Rethinking Contrastive Representation Learning for Time Series Forecasting

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Mar 31, 2023
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Correlated Product of Experts for Sparse Gaussian Process Regression

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Dec 17, 2021
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Orthogonally Decoupled Variational Fourier Features

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Jul 13, 2020
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