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NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments


Mar 20, 2021
Sonali Parbhoo, Stefan Bauer, Patrick Schwab


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Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation


Nov 29, 2020
August DuMont Schütte, Jürgen Hetzel, Sergios Gatidis, Tobias Hepp, Benedikt Dietz, Stefan Bauer, Patrick Schwab


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Real-time Prediction of COVID-19 related Mortality using Electronic Health Records


Aug 31, 2020
Patrick Schwab, Arash Mehrjou, Sonali Parbhoo, Leo Anthony Celi, Jürgen Hetzel, Markus Hofer, Bernhard Schölkopf, Stefan Bauer


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predCOVID-19: A Systematic Study of Clinical Predictive Models for Coronavirus Disease 2019


May 17, 2020
Patrick Schwab, August DuMont Schütte, Benedikt Dietz, Stefan Bauer


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A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data


Jan 02, 2020
Patrick Schwab, Walter Karlen


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CXPlain: Causal Explanations for Model Interpretation under Uncertainty


Oct 27, 2019
Patrick Schwab, Walter Karlen

* To appear in Advances in Neural Information Processing Systems 2019 

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Learning Counterfactual Representations for Estimating Individual Dose-Response Curves


Feb 03, 2019
Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen


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Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks


Nov 01, 2018
Patrick Schwab, Lorenz Linhardt, Walter Karlen


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Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks


Oct 01, 2018
Patrick Schwab, Djordje Miladinovic, Walter Karlen


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PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data


Oct 01, 2018
Patrick Schwab, Walter Karlen


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Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care


Jun 07, 2018
Patrick Schwab, Emanuela Keller, Carl Muroi, David J. Mack, Christian Strässle, Walter Karlen


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Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks


Oct 24, 2017
Patrick Schwab, Gaetano Scebba, Jia Zhang, Marco Delai, Walter Karlen

* Accepted at Computing in Cardiology (CinC) 2017 

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