Manuel Schürch

19 papers Misc 1Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep hierarchical subtyping of multi-organ systemic sclerosis trajectories - a EUSTAR study.
npj Digit. Medicine
Cécile Trottet, Manuel Schürch, Ahmed Allam, Liubov Petelytska, Ivan Castellví, Radim Becvár, Jeska de Vries-Bouwstra, Florenzo Iannone, Patricia Carreira, Marie-Elise Truchetet, Giovanna Cuomo, Elena Rezus, Francesco Paolo Cantatore, Carmen Pilar Simeón-Aznar, Magda Parvu, Marta Dzhus, Oliver Distler, Anna-Maria Hoffmann-Vold, Michael Krauthammer, EUSTAR collaborators
2025 J jnl
Enhancing post-kidney transplant prognostication: an interpretable machine learning approach for longitudinal outcome prediction.
npj Digit. Medicine
Bowen Fan, Manuel Schürch, Yuan Tian, Anna Mallone, Lukas Frischknecht, Michael Koller, Christian Van Delden, Alexander Leichtle, Dela Golshayan, Jean Villard, Thomas Schachtner, Daniel Sidler, Stefan Schaub, Jakob Nilsson, Michael Krauthammer, Swiss Transplant Cohort Study
2024 J jnl
Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes.
CoRR
Xiaochen Zheng, Manuel Schürch, Xingyu Chen, Maria Angeliki Komninou, Reto Schüpbach, Ahmed Allam, Jan Bartussek, Michael Krauthammer
2024 — conf
Learning Personalized Treatment Decisions in Precision Medicine: Disentangling Treatment Assignment Bias in Counterfactual Outcome Prediction and Biomarker Identification.
ML4H@NeurIPS
Michael Vollenweider, Manuel Schürch, Chiara Rohrer, Gabriele Gut, Michael Krauthammer, Andreas Wicki
2024 J jnl
Learning Personalized Treatment Decisions in Precision Medicine: Disentangling Treatment Assignment Bias in Counterfactual Outcome Prediction and Biomarker Identification.
CoRR
Michael Vollenweider, Manuel Schürch, Chiara Rohrer, Gabriele Gut, Michael Krauthammer, Andreas Wicki
2024 — conf
Semi-Supervised Generative Models for Disease Trajectories: A Case Study on Systemic Sclerosis.
MLHC
Cécile Trottet, Manuel Schürch, Ahmed Allam, Imon Barua, Liubov Petelytska, Oliver Distler, Anna-Maria Hoffmann-Vold, Michael Krauthammer
2024 J jnl
Semi-Supervised Generative Models for Disease Trajectories: A Case Study on Systemic Sclerosis.
CoRR
Cécile Trottet, Manuel Schürch, Ahmed Allam, Imon Barua, Liubov Petelytska, Oliver Distler, Anna-Maria Hoffmann-Vold, Michael Krauthammer, EUSTAR collaborators
2024 Misc conf
Simple Contrastive Representation Learning for Time Series Forecasting.
ICASSP
Xiaochen Zheng, Xingyu Chen, Manuel Schürch, Amina Mollaysa, Ahmed Allam, Michael Krauthammer
2024 J jnl
Towards AI-Based Precision Oncology: A Machine Learning Framework for Personalized Counterfactual Treatment Suggestions based on Multi-Omics Data.
CoRR
Manuel Schürch, Laura Boos, Viola Heinzelmann-Schwarz, Gabriele Gut, Michael Krauthammer, Andreas Wicki, Tumor Profiler Consortium
2023 J jnl
Correlated product of experts for sparse Gaussian process regression.
Mach. Learn.
Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
2023 J jnl
Dynamic Local Attention with Hierarchical Patching for Irregular Clinical Time Series.
CoRR
Xingyu Chen, Xiaochen Zheng, Amina Mollaysa, Manuel Schürch, Ahmed Allam, Michael Krauthammer
2023 J jnl
Generating Personalized Insulin Treatments Strategies with Deep Conditional Generative Time Series Models.
CoRR
Manuel Schürch, Xiang Li, Ahmed Allam, Giulia Rathmes, Amina Mollaysa, Claudia Cavelti-Weder, Michael Krauthammer
2023 J jnl
Modeling Complex Disease Trajectories using Deep Generative Models with Semi-Supervised Latent Processes.
CoRR
Cécile Trottet, Manuel Schürch, Ahmed Allam, Imon Barua, Liubov Petelytska, Oliver Distler, Anna-Maria Hoffmann-Vold, Michael Krauthammer, EUSTAR collaborators
2023 J jnl
SimTS: Rethinking Contrastive Representation Learning for Time Series Forecasting.
CoRR
Xiaochen Zheng, Xingyu Chen, Manuel Schürch, Amina Mollaysa, Ahmed Allam, Michael Krauthammer
2021 J jnl
Correlated Product of Experts for Sparse Gaussian Process Regression.
CoRR
Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
2021 — conf
Sparse Information Filter for Fast Gaussian Process Regression.
ECML/PKDD (3)
Lucas Kania, Manuel Schürch, Dario Azzimonti, Alessio Benavoli
2020 J jnl
Orthogonally Decoupled Variational Fourier Features.
CoRR
Dario Azzimonti, Manuel Schürch, Alessio Benavoli, Marco Zaffalon
2020 J jnl
Recursive estimation for sparse Gaussian process regression.
Autom.
Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
2019 J jnl
Recursive Estimation for Sparse Gaussian Process Regression.
CoRR
Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon