Michael Moor

发表

Enhancing statistical power in temporal biomarker discovery through representative shapelet mining

Karsten M. Borgwardt, K. Borgwardt, Bastian Alexander Rieck, 2020, Bioinformatics.

Association mapping in biomedical time series via statistically significant shapelet mining

Karsten M. Borgwardt, Thomas Gumbsch, Christian Bock, 2018, Bioinform..

Challenging Euclidean Topological Autoencoders

Michael Moor, 2020 .

Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score pdf

Zhiliang Wu, Rui Zhao, Yunpu Ma, 2020, 2020 IEEE International Conference on Healthcare Informatics (ICHI).

E arly P rediction of S epsis in the ICU using M achine L earning : A S ystematic R eview .

K. Borgwardt, C. Jutzeler, Michael Moor, 2020 .

Machine learning for early prediction of circulatory failure in the intensive care unit pdf

Gunnar Rätsch, Karsten M. Borgwardt, Marc Zimmermann, 2019, ArXiv.

Zero-shot causal learning

Yusuf H. Roohani, J. Leskovec, Michihiro Yasunaga, 2023, ArXiv.

Early prediction of circulatory failure in the intensive care unit using machine learning

Karsten M. Borgwardt, Stephanie L. Hyland, Martin Faltys, 2020, Nature Medicine.

Set Functions for Time Series

Christian Bock, Michael Moor, Karsten Borgwardt, 2019, ICML.

Accelerating detection of lung pathologies with explainable ultrasound image analysis

Karsten M. Borgwardt, Michael Moor, Jannis Born, 2021 .

Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review

Karsten M. Borgwardt, K. Borgwardt, Bastian Alexander Rieck, 2020, Frontiers in Medicine.

Early prediction of circulatory failure in the intensive care unit using machine learning

Stephanie L. Hyland, G. Rätsch, K. Borgwardt, 2020, Nature Medicine.

A Survey of Topological Machine Learning Methods

Michael Moor, Bastian Rieck, Felix Hensel, 2021, Frontiers in Artificial Intelligence.

Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis pdf

Karsten M. Borgwardt, Max Horn, Damian Roqueiro, 2019, ArXiv.

Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping

Karsten Borgwardt, Max Horn, Damian Roqueiro, 2019, MLHC.

Foundation models for generalist medical artificial intelligence

J. Leskovec, P. Rajpurkar, E. Topol, 2023, Nature.

Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning pdf

Michael Moor, Karsten Borgwardt, Max Horn, 2021, ArXiv.

Zero-shot causal learning

Yusuf H. Roohani, J. Leskovec, Michihiro Yasunaga, 2023, ArXiv.

Topological Graph Neural Networks

Karsten M. Borgwardt, K. Borgwardt, Y. Moreau, 2021, ICLR.

Topological Autoencoders pdf

Karsten Borgwardt, Max Horn, Bastian Rieck, 2019, ICML.

Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning

Christian Bock, Michael Moor, Karsten Borgwardt, 2021, Artificial Neural Networks, 3rd Edition.

Almanac: Retrieval-Augmented Language Models for Clinical Medicine

Michael Moor, Alex R. Dalal, W. Hiesinger, 2023, Research square.

Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology pdf

Karsten M. Borgwardt, Thomas Gumbsch, Max Horn, 2018, ICLR.

Zero-shot causal learning

Yusuf H. Roohani, J. Leskovec, Michihiro Yasunaga, 2023, NeurIPS.

Med-Flamingo: a Multimodal Medical Few-shot Learner

J. Leskovec, P. Rajpurkar, Michihiro Yasunaga, 2023, ML4H@NeurIPS.

Quantification of Liver, Subcutaneous, and Visceral Adipose Tissues by MRI Before and After Bariatric Surgery

Oliver Bieri, Stefan Borgwardt, Michael Moor, 2019, Obesity Surgery.

Predicting sepsis using deep learning across international sites: a retrospective development and validation study

N. Meinshausen, P. Bühlmann, K. Borgwardt, 2023, EClinicalMedicine.

Accelerating Detection of Lung Pathologies with Explainable Ultrasound Image Analysis

Karsten M. Borgwardt, K. Borgwardt, A. Aujayeb, 2020, Applied Sciences.

Supplementary Materials for Association Mapping in Biomedical Time Series via Statistically Significant Shapelet Mining

Karsten M. Borgwardt, Bastian Alexander Rieck, Thomas Gumbsch, 2018 .