Continuous State-Space Models for Optimal Sepsis Treatment: a Deep Reinforcement Learning Approach. - Aniruddh Raghu; Matthieu Komorowski; Leo Anthony Celi; Peter Szolovits; Marzyeh Ghassemi (MLHC, 2017)

Deep Reinforcement Learning for Sepsis Treatment. - Aniruddh Raghu; Matthieu Komorowski; Imran Ahmed; Leo A. Celi; Peter Szolovits; Marzyeh Ghassemi (CoRR, 2017)

Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning. - Xuefeng Peng; Yi Ding; David Wihl; Omer Gottesman; Matthieu Komorowski; Li-Wei H. Lehman; Andrew Slavin Ross; Aldo Faisal; Finale Doshi-Velez (AMIA, 2018)

Predicting and Understanding Unexpected Respiratory Decompensation in Critical Care Using Sparse and Heterogeneous Clinical Data. - Oliver Ren; Alistair E. W. Johnson; Eric P. Lehman; Matthieu Komorowski; Jerome Aboab; Fengyi Tang; Zach Shahn; Daby Sow; Roger G. Mark; Li-Wei H. Lehman (ICHI, 2018)

Representation Balancing MDPs for Off-policy Policy Evaluation. - Yao Liu 009; Omer Gottesman; Aniruddh Raghu; Matthieu Komorowski; Aldo A. Faisal; Finale Doshi-Velez; Emma Brunskill (NeurIPS, 2018)

The Actor Search Tree Critic (ASTC) for Off-Policy POMDP Learning in Medical Decision Making. - Luchen Li; Matthieu Komorowski; Aldo A. Faisal (CoRR, 2018)

Evaluating Reinforcement Learning Algorithms in Observational Health Settings. - Omer Gottesman; Fredrik D. Johansson; Joshua Meier; Jack Dent; Donghun Lee; Srivatsan Srinivasan; Linying Zhang; Yi Ding; David Wihl; Xuefeng Peng; Jiayu Yao; Isaac Lage; et al. (CoRR, 2018)

Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters. - Aniruddh Raghu; Omer Gottesman; Yao Liu 009; Matthieu Komorowski; Aldo Faisal; Finale Doshi-Velez; Emma Brunskill (CoRR, 2018)

Model-Based Reinforcement Learning for Sepsis Treatment. - Aniruddh Raghu; Matthieu Komorowski; Sumeetpal S. Singh (CoRR, 2018)

A machine learning approach for predicting urine output after fluid administration. - Pei-Chen Lin; Hsu-Cheng Huang; Matthieu Komorowski; Wei-Kai Lin; Chun-Min Chang; Kuan-Ta Chen; Yu-Chuan Li; Ming-Chin Lin (Comput. Methods Programs Biomed., 2019)

Understanding the Artificial Intelligence Clinician and optimal treatment strategies for sepsis in intensive care. - Matthieu Komorowski; Leo A. Celi; Omar Badawi; Anthony C. Gordon; A. Aldo Faisal (CoRR, 2019)

Optimizing Sequential Medical Treatments with Auto-Encoding Heuristic Search in POMDPs. - Luchen Li; Matthieu Komorowski; Aldo A. Faisal (CoRR, 2019)

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities. - Remy Kusters; Dusan Misevic; Hugues Berry; Antoine Cully; Yann Le Cunff; Loic Dandoy; Natalia Díaz Rodríguez; Marion Ficher; Jonathan Grizou; Alice Othmani; Themis Palpanas; Matthieu Komorowski; et al. (Frontiers Big Data, 2020)

Levels of Autonomy and Safety Assurance for AI-Based Clinical Decision Systems. - Paul Festor; Ibrahim Habli; Yan Jia 008; Anthony C. Gordon; A. Aldo Faisal; Matthieu Komorowski (SAFECOMP Workshops, 2021)

Enabling risk-aware Reinforcement Learning for medical interventions through uncertainty decomposition. - Paul Festor; Giulia Luise; Matthieu Komorowski; A. Aldo Faisal (CoRR, 2021)

Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health. - Ryan T. Scott; Erik L. Antonsen; Lauren M. Sanders; Jaden J. A. Hastings; Seung-Min Park; Graham Mackintosh; Robert J. Reynolds; Adrienne L. Hoarfrost; Aenor Sawyer; Casey S. Greene; Benjamin S. Glicksberg; Corey A. Theriot; et al. (CoRR, 2021)

Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs. - Lauren M. Sanders; Jason H. Yang; Ryan T. Scott; Amina Ann Qutub; Héctor García Martín; Daniel C. Berrios; Jaden J. A. Hastings; Jon Rask; Graham Mackintosh; Adrienne L. Hoarfrost; Stuart J. Chalk; John Kalantari; et al. (CoRR, 2021)

Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation. - Minghui Zhang; Yangqian Wu; Hanxiao Zhang; Yulei Qin; Hao Zheng 008; Wen Tang; Corey W. Arnold; Chenhao Pei; Pengxin Yu; Yang Nan 002; Guang Yang 006; Simon Walsh; et al. (CoRR, 2023)

Quantifying the impact of AI recommendations with explanations on prescription decision making. - Myura Nagendran; Paul Festor; Matthieu Komorowski; Anthony C. Gordon; Aldo A. Faisal (npj Digit. Medicine, 2023)

Biological research and self-driving labs in deep space supported by artificial intelligence. - Lauren M. Sanders; Ryan T. Scott; Jason H. Yang; Amina Ann Qutub; Héctor García Martín; Daniel C. Berrios; Jaden J. A. Hastings; Jon Rask; Graham Mackintosh; Adrienne L. Hoarfrost; Stuart J. Chalk; John Kalantari; et al. (Nat. Mac. Intell., 2023)

Biomonitoring and precision health in deep space supported by artificial intelligence. - Ryan T. Scott; Lauren M. Sanders; Erik L. Antonsen; Jaden J. A. Hastings; Seung-Min Park; Graham Mackintosh; Robert J. Reynolds; Adrienne L. Hoarfrost; Aenor Sawyer; Casey S. Greene; Benjamin S. Glicksberg; Corey A. Theriot; et al. (Nat. Mac. Intell., 2023)

Multi-site, Multi-domain Airway Tree Modeling. - Minghui Zhang; Yangqian Wu; Hanxiao Zhang; Yulei Qin; Hao Zheng 008; Wen Tang; Corey W. Arnold; Chenhao Pei; Pengxin Yu; Yang Nan 002; Guang Yang 006; Simon Walsh; et al. (Medical Image Anal., 2023)

Anatomy-Guided Radiology Report Generation with Pathology-Aware Regional Prompts. - Yijian Gao; Dominic C. Marshall; Xiaodan Xing; Junzhi Ning; Giorgos Papanastasiou; Guang Yang 006; Matthieu Komorowski (CoRR, 2024)

Eye tracking insights into physician behaviour with safe and unsafe explainable AI recommendations. - Myura Nagendran; Paul Festor; Matthieu Komorowski; Anthony C. Gordon; Aldo A. Faisal (npj Digit. Medicine, 2024)

Challenges with reinforcement learning model transportability for sepsis treatment in emergency care. - Peter C. Nauka; Jason N. Kennedy; Emily B. Brant; Matthieu Komorowski; Romain Pirracchio; Derek C. Angus; Christopher W. Seymour (npj Digit. Medicine, 2025)

Unpaired translation of chest X-ray images for lung opacity diagnosis via adaptive activation masks and cross-domain alignment. - Junzhi Ning; Dominic C. Marshall; Yijian Gao; Xiaodan Xing; Yang Nan 002; Yingying Fang; Sheng Zhang 024; Matthieu Komorowski; Guang Yang 006 (Pattern Recognit. Lett., 2025)