Sotabase

Career

· Assistant Professor, ETH Zurich

Publications (35)

Foundation models for generalist medical artificial intelligence
Nature · 2023
1,440
cited
Med-Flamingo: a Multimodal Medical Few-shot Learner
ML4H@NeurIPS · 2023
448
cited
Early prediction of circulatory failure in the intensive care unit using machine learning
Nature Medicine · 2020
386
cited
A Survey of Topological Machine Learning Methods
Frontiers in Artificial Intelligence · 2021
231
cited
Almanac: Retrieval-Augmented Language Models for Clinical Medicine
Research Square · 2023
225
cited
Set Functions for Time Series
International Conference on Machine Learning · 2019
182
cited
Topological Autoencoders
International Conference on Machine Learning · 2019
179
cited
Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review
Frontiers in Medicine · 2020
168
cited
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
International Conference on Learning Representations · 2018
124
cited
Topological Graph Neural Networks
International Conference on Learning Representations · 2021
124
cited
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping
Machine Learning in Health Care · 2019
73
cited
Accelerating detection of lung pathologies with explainable ultrasound image analysis
2021
69
cited
Predicting sepsis using deep learning across international sites: a retrospective development and validation study
EClinicalMedicine · 2023
69
cited
Multimodal generative AI for medical image interpretation
Nature · 2025
48
cited
Quantification of Liver, Subcutaneous, and Visceral Adipose Tissues by MRI Before and After Bariatric Surgery
Obesity Surgery · 2019
23
cited
Zero-shot causal learning
Neural Information Processing Systems · 2023
18
cited
Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning
Artificial Neural Networks, 3rd Edition · 2021
17
cited
Supplementary Materials for Association Mapping in Biomedical Time Series via Statistically Significant Shapelet Mining
2018
16
cited
Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis
arXiv.org · 2019
15
cited
Machine learning for early prediction of circulatory failure in the intensive care unit
arXiv.org · 2019
10
cited
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