Michael Moor

Orcid: 0000-0003-4911-6437

According to our database¹, Michael Moor authored at least 35 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

RadAgent: A tool-using AI agent for stepwise interpretation of chest computed tomography.

[BibT_eX]

[DOI]

Jean-Benoit Delbrouck

CoRR, April, 2026

Process Reward Agents for Steering Knowledge-Intensive Reasoning.

[BibT_eX]

[DOI]

CoRR, April, 2026

2025

Meta-RL Induces Exploration in Language Agents.

[BibT_eX]

[DOI]

CoRR, December, 2025

Enhancing Radiology Report Generation and Visual Grounding using Reinforcement Learning.

[BibT_eX]

[DOI]

Benjamin Gundersen

Nicolas Deperrois

Samuel Ruipérez-Campillo

CoRR, December, 2025

MTBBench: A Multimodal Sequential Clinical Decision-Making Benchmark in Oncology.

[BibT_eX]

[DOI]

CoRR, November, 2025

Agentic Systems in Radiology: Design, Applications, Evaluation, and Challenges.

[BibT_eX]

[DOI]

CoRR, October, 2025

MARBLE: A Hard Benchmark for Multimodal Spatial Reasoning and Planning.

[BibT_eX]

[DOI]

CoRR, June, 2025

SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning.

[BibT_eX]

[DOI]

Jean-Benoit Delbrouck

Michael Moor

CoRR, June, 2025

Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards.

[BibT_eX]

[DOI]

CoRR, June, 2025

MIRIAD: Augmenting LLMs with millions of medical query-response pairs.

[BibT_eX]

[DOI]

CoRR, June, 2025

AgentRxiv: Towards Collaborative Autonomous Research.

[BibT_eX]

[DOI]

Samuel Schmidgall

Michael Moor

CoRR, March, 2025

Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Agent Laboratory: Using LLM Agents as Research Assistants.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Reverse Image Retrieval Cues Parametric Memory in Multimodal LLMs.

[BibT_eX]

[DOI]

Jialiang Xu

Michael Moor

Jure Leskovec

CoRR, 2024

AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments.

[BibT_eX]

[DOI]

CoRR, 2024

Almanac Copilot: Towards Autonomous Electronic Health Record Navigation.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Zero-shot causal learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Med-Flamingo: a Multimodal Medical Few-shot Learner.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Health, 2023

Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting.

[BibT_eX]

[DOI]

Vasantha Kumar Venugopal

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Machine Learning on Clinical Time Series: Classification and Representation Learning.

[BibT_eX]

[DOI]

Michael Moor

PhD thesis, 2022

Prediction of recovery from multiple organ dysfunction syndrome in pediatric sepsis patients.

[BibT_eX]

[DOI]

Bioinform., 2022

Topological Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

A Survey of Topological Machine Learning Methods.

[BibT_eX]

[DOI]

Felix Hensel

Michael Moor

Bastian Rieck

Frontiers Artif. Intell., 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Christian Bock

Michael Moor

Catherine R. Jutzeler

Karsten M. Borgwardt

Proceedings of the Artificial Neural Networks - Third Edition., 2021

2020

Path Imputation Strategies for Signature Models.

[BibT_eX]

[DOI]

CoRR, 2020

Enhancing statistical power in temporal biomarker discovery through representative shapelet mining.

[BibT_eX]

[DOI]

Bioinform., 2020

Topological Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Set Functions for Time Series.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Healthcare Conference, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Association mapping in biomedical time series via statistically significant shapelet mining.

[BibT_eX]

[DOI]

Bioinform., 2018

Michael Moor

Timeline

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Links

On csauthors.net:

Bibliography

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