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Michael Moor
Michael Moor
MD, PhD. Postdoctoral researcher at Stanford CS. Before ML PhD from ETH Zurich.
Verified email at stanford.edu - Homepage
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Cited by
Cited by
Year
Early prediction of circulatory failure in the intensive care unit using machine learning
SL Hyland, M Faltys, M Hüser, X Lyu, T Gumbsch, C Esteban, C Bock, ...
Nature Medicine 26 (3), 364-373, 2020
1642020
Topological Autoencoders
M Moor, M Horn, B Rieck, K Borgwardt
International Conference on Machine Learning (ICML), 7045--7054, 2020
902020
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
B Rieck, M Togninalli, C Bock, M Moor, M Horn, T Gumbsch, K Borgwardt
International Conference on Learning Representations (ICLR), 2019., 2018
822018
Accelerating detection of lung pathologies with explainable ultrasound image analysis
J Born, N Wiedemann, M Cossio, C Buhre, G Brändle, K Leidermann, ...
Applied Sciences 11 (2), 672, 2021
662021
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping
M Moor, M Horn, B Rieck, D Roqueiro, K Borgwardt
Proceedings of the 4th Machine Learning for Healthcare Conference, 2019., 2019
62*2019
Early prediction of sepsis in the ICU using machine learning: a systematic review
M Moor, B Rieck, M Horn, CR Jutzeler, K Borgwardt
Frontiers in medicine 8, 348, 2021
452021
Set Functions for Time Series
M Horn, M Moor, C Bock, B Rieck, K Borgwardt
International Conference on Machine Learning (ICML), 4353-4363, 2020
452020
A survey of topological machine learning methods
F Hensel, M Moor, B Rieck
Frontiers in Artificial Intelligence 4, 681108, 2021
392021
Association mapping in biomedical time series via statistically significant shapelet mining
C Bock, T Gumbsch, M Moor, B Rieck, D Roqueiro, K Borgwardt
Bioinformatics 34 (13), i438-i446, 2018
242018
Topological Graph Neural Networks
M Horn, E De Brouwer, M Moor, Y Moreau, B Rieck, K Borgwardt
International Conference on Learning Representations (ICLR), 2022, 2022
162022
Quantification of liver, subcutaneous, and visceral adipose tissues by mri before and after bariatric surgery
AC Meyer-Gerspach, R Peterli, M Moor, P Madörin, A Schötzau, D Nabers, ...
Obesity surgery 29 (9), 2795-2805, 2019
132019
Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning
C Bock, M Moor, CR Jutzeler, K Borgwardt
Artificial Neural Networks, 33-71, 2020
112020
Path Imputation Strategies for Signature Models
M Moor, M Horn, C Bock, K Borgwardt, B Rieck
ICML 2020 Workshop on the Art of Learning with Missing Values (Artemiss), 2020
52020
Path Imputation Strategies for Signature Models of Irregular Time Series
M Moor, M Horn, C Bock, K Borgwardt, B Rieck
arXiv preprint arXiv:2005.12359, 2020
5*2020
Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning
M Moor, N Bennet, D Plecko, M Horn, B Rieck, N Meinshausen, ...
arXiv preprint arXiv:2107.05230, 2021
32021
Enhancing statistical power in temporal biomarker discovery through representative shapelet mining
T Gumbsch, C Bock, M Moor, B Rieck, K Borgwardt
Bioinformatics 36 (Supplement_2), i840-i848, 2020
32020
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score
Z Wu, Y Yang, Y Ma, Y Liu, R Zhao, M Moor, V Tresp
2020 IEEE International Conference on Healthcare Informatics (ICHI), 1-11, 2020
22020
Challenging Euclidean Topological Autoencoders
M Moor, M Horn, K Borgwardt, B Rieck
Topological Data Analysis and Beyond Workshop at NeurIPS 2020, 2020
22020
Prediction of recovery from multiple organ dysfunction syndrome in pediatric sepsis patients
B Fan, J Klatt, MM Moor, LA Daniels, LN Sanchez-Pinto, PKA Agyeman, ...
Bioinformatics 38 (Supplement_1), i101-i108, 2022
12022
Erratum: Born et al. Accelerating Detection of Lung Pathologies with Explainable Ultrasound Image Analysis. Appl. Sci. 2021, 11, 672
J Born, N Wiedemann, M Cossio, C Buhre, G Brändle, K Leidermann, ...
Applied Sciences 12 (8), 3869, 2022
2022
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