A Support Vector Machine Approach for Reliable Detection of Atrial Fibrillation Events. - Roberta Colloca; Alistair E. W. Johnson; Luca T. Mainardi; Gari D. Clifford (CinC, 2013)

Improved Respiration Rate Estimation using a Kalman filter and Wavelet Cross-Coherence. - Alistair E. W. Johnson; Sharath Choletti; Timothy G. Buchman; Gari D. Clifford (CinC, 2013)

Bayesian Voting of Multiple Annotators for Improved QT Interval Estimation. - Tingting Zhu 001; Alistair E. W. Johnson; Joachim Behar; Gari D. Clifford (CinC, 2013)

R- Peak Estimation using Multimodal Lead Switching. - Alistair E. W. Johnson; Joachim Behar; Fernando Andreotti; Gari D. Clifford; Julien Oster (CinC, 2014)

Data Preprocessing and Mortality Prediction: the Physionet/CinC 2012 Challenge Revisited. - Alistair E. W. Johnson; Andrew A. Kramer; Gari D. Clifford (CinC, 2014)

Physiological trajectory of patients pre and post ICU discharge1. - Alistair E. W. Johnson; Jonathan Burgess; Marco A. F. Pimentel; David A. Clifton; J. Duncan Young; Peter J. Watkinson; Lionel Tarassenko (EMBC, 2014)

Semisupervised ECG Ventricular Beat Classification With Novelty Detection Based on Switching Kalman Filters. - Julien Oster; Joachim Behar; Omid Sayadi; Shamim Nemati; Alistair E. W. Johnson; Gari D. Clifford (IEEE Trans. Biomed. Eng., 2015)

Closing the Data Loop: An Integrated Open Access Analysis Platform for the MIMIC Database. - Mohammad Adibuzzaman; Ken Musselman; Alistair E. W. Johnson; Paul Brown; Zachary Pitluk Pitluk; Ananth Grama (CinC, 2016)

Classification of Normal/Abnormal Heart Sound Recordings: the PhysioNet/Computing in Cardiology Challenge 2016. - Gari D. Clifford; Chengyu Liu 001; David B. Springer; Benjamin Moody; Qiao Li 011; Ricardo C. Abad; José Millet; Ikaro Silva; Alistair E. W. Johnson; Roger G. Mark (CinC, 2016)

Machine Learning and Decision Support in Critical Care. - Alistair E. W. Johnson; Mohammad M. Ghassemi; Shamim Nemati; Katherine E. Niehaus; David A. Clifton; Gari D. Clifford (Proc. IEEE, 2016)

Real-time Mortality Prediction in the Intensive Care Unit. - Alistair E. W. Johnson; Roger G. Mark (AMIA, 2017)

Analyzing the eICU Collaborative Research Database. - Alistair E. W. Johnson; Tom J. Pollard; Leo A. Celi; Roger G. Mark (BCB, 2017)

Estimating patient's health state using latent structure inferred from clinical time series and text. - Aaron Zalewski; William J. Long; Alistair E. W. Johnson; Roger G. Mark; Li-Wei H. Lehman (BHI, 2017)

AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017. - Gari D. Clifford; Chengyu Liu 001; Benjamin Moody; Li-Wei H. Lehman; Ikaro Silva; Qiao Li 011; Alistair E. W. Johnson; Roger G. Mark (CinC, 2017)

Reproducibility in critical care: a mortality prediction case study. - Alistair E. W. Johnson; Tom J. Pollard; Roger G. Mark (MLHC, 2017)

Clinical Intervention Prediction and Understanding with Deep Neural Networks. - Harini Suresh; Nathan Hunt; Alistair E. W. Johnson; Leo Anthony Celi; Peter Szolovits; Marzyeh Ghassemi (MLHC, 2017)

Clinical Intervention Prediction and Understanding using Deep Networks. - Harini Suresh; Nathan Hunt; Alistair E. W. Johnson; Leo Anthony Celi; Peter Szolovits; Marzyeh Ghassemi (CoRR, 2017)

False arrhythmia alarm reduction in the intensive care unit. - Andrea S. Li; Alistair E. W. Johnson; Roger G. Mark (CoRR, 2017)

Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters. - Marco A. F. Pimentel; Alistair E. W. Johnson; Peter Charlton; Drew A. Birrenkott; Peter J. Watkinson; Lionel Tarassenko; David A. Clifton (IEEE Trans. Biomed. Eng., 2017)

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)

Generalizability of predictive models for intensive care unit patients. - Alistair E. W. Johnson; Tom J. Pollard; Tristan Naumann (CoRR, 2018)

The MIMIC Code Repository: enabling reproducibility in critical care research. - Alistair E. W. Johnson; David J. Stone; Leo A. Celi; Tom J. Pollard (J. Am. Medical Informatics Assoc., 2018)

MIMIC-CXR: A large publicly available database of labeled chest radiographs. - Alistair E. W. Johnson; Tom J. Pollard; Seth J. Berkowitz; Nathaniel R. Greenbaum; Matthew P. Lungren; Chih-ying Deng; Roger G. Mark; Steven Horng (CoRR, 2019)

SEVERITAS: An externally validated mortality prediction for critically ill patients in low and middle-income countries. - Rodrigo Octávio Deliberato; Guilherme Goto Escudero; Lucas Bulgarelli; Ary Serpa Neto; Stephanie Q. Ko; Niklas Soderberg Campos; Berke Saat; Edson Amaro Júnior; Fabio Silva Lopes; Alistair E. W. Johnson (Int. J. Medical Informatics, 2019)

Deidentification of free-text medical records using pre-trained bidirectional transformers. - Alistair E. W. Johnson; Lucas Bulgarelli; Tom J. Pollard (CHIL, 2020)

Building the Foundation of Medical Knowledge Generation. - Alistair E. W. Johnson (ICHI, 2021)

Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph. - Po-Chih Kuo; Cheng Che Tsai; Diego M. López; Alexandros Karargyris; Tom J. Pollard; Alistair E. W. Johnson; Leo Anthony Celi (npj Digit. Medicine, 2021)

Machine learning approaches to investigate Clostridioides difficile infection and outcomes: A systematic review. - Yujie Chen; Min Xi; Alistair E. W. Johnson; George Tomlinson; Aaron Campigotto; Lingxiao Chen; Lillian Sung (Int. J. Medical Informatics, 2022)

Do We Still Need Clinical Language Models? - Eric Lehman; Evan Hernandez; Diwakar Mahajan; Jonas Wulff; Micah J. Smith; Zachary Ziegler; Daniel Nadler; Peter Szolovits; Alistair E. W. Johnson; Emily Alsentzer (CHIL, 2023)

MIMIC-IV on FHIR: converting a decade of in-patient data into an exchangeable, interoperable format. - Alex M. Bennett; Hannes Ulrich; Philip van Damme; Joshua Wiedekopf; Alistair E. W. Johnson (J. Am. Medical Informatics Assoc., 2023)

Predicting non-muscle invasive bladder cancer outcomes using artificial intelligence: a systematic review using APPRAISE-AI. - Jethro C. C. Kwong; Jeremy Wu; Shamir Malik; Adree Khondker; Naveen Gupta; Nicole Bodnariuc; Krishnateja Narayana; Mikail Malik; Theodorus H. van der Kwast; Alistair E. W. Johnson; Alexandre R. Zlotta; Girish S. Kulkarni (npj Digit. Medicine, 2024)

ACES: Automatic Cohort Extraction System for Event-Stream Datasets. - Justin Xu; Jack Gallifant; Alistair E. W. Johnson; Matthew B. A. McDermott (ICLR, 2025)

BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLP. - Thomas Sounack; Joshua Davis; Brigitte N. Durieux; Antoine Chaffin; Tom J. Pollard; Eric Lehman; Alistair E. W. Johnson; Matthew B. A. McDermott; Tristan Naumann; Charlotta Lindvall (CoRR, 2025)