Clustering and Symbolic Analysis of Cardiovascular Signals: Discovery and Visualization of Medically Relevant Patterns in Long-Term Data Using Limited Prior Knowledge. - Zeeshan Syed; John V. Guttag; Collin M. Stultz (EURASIP J. Adv. Signal Process., 2007)

The Effect of a ΔK280 Mutation on the Unfolded State of a Microtubule-Binding Repeat in Tau. - Austin Huang; Collin M. Stultz (PLoS Comput. Biol., 2008)

The multi-copy simultaneous search methodology: a fundamental tool for structure-based drug design. - Christian R. Schubert; Collin M. Stultz (J. Comput. Aided Mol. Des., 2009)

Motif discovery in physiological datasets: A methodology for inferring predictive elements. - Zeeshan Syed; Collin M. Stultz; Manolis Kellis; Piotr Indyk; John V. Guttag (ACM Trans. Knowl. Discov. Data, 2010)

Efficient Construction of Disordered Protein Ensembles in a Bayesian Framework with Optimal Selection of Conformations. - Charles K. Fisher; Orly Ullman; Collin M. Stultz (Pacific Symposium on Biocomputing, 2012)

Transferring Knowledge from Text to Predict Disease Onset. - Yun Liu 013; Collin M. Stultz; John V. Guttag; Kun-Ta Chuang; Fu-Wen Liang; Huey-Jen Su (MLHC, 2016)

Mollack: a web server for the automated creation of conformational ensembles for intrinsically disordered proteins. - Zachary Ziegler; Molly Schmidt; Thomas Gurry; Virginia Burger; Collin M. Stultz (Bioinform., 2016)

Generative Oversampling with a Contrastive Variational Autoencoder. - Wangzhi Dai; Kenney Ng; Kristen A. Severson; Wei Huang; Fred Anderson; Collin M. Stultz (ICDM, 2019)

Quantifying Common Support between Multiple Treatment Groups Using a Contrastive-VAE. - Wangzhi Dai; Collin M. Stultz (ML4H@NeurIPS, 2020)

Identifying unreliable predictions in clinical risk models. - Paul D. Myers; Kenney Ng; Kristen A. Severson; Uri Kartoun; Wangzhi Dai; Wei Huang; Fred Anderson; Collin M. Stultz (npj Digit. Medicine, 2020)

Learning to predict with supporting evidence: applications to clinical risk prediction. - Aniruddh Raghu; John V. Guttag; Katherine Young; Eugene Pomerantsev; Adrian V. Dalca; Collin M. Stultz (CHIL, 2021)

Patient Contrastive Learning: a Performant, Expressive, and Practical Approach to ECG Modeling. - Nathaniel Diamant; Erik Reinertsen; Steven Song; Aaron D. Aguirre; Collin M. Stultz; Puneet Batra (CoRR, 2021)

Feature Selection Based on Subpopulations and Propensity Score Matching: A Coronary Artery Disease Use Case using the UK Biobank. - Uri Kartoun; Paul Myers 002; Kristen A. Severson; Wangzhi Dai; Kenney Ng; Collin M. Stultz (AMIA, 2022)

Data Augmentation for Electrocardiograms. - Aniruddh Raghu; Divya Shanmugam; Eugene Pomerantsev; John V. Guttag; Collin M. Stultz (CHIL, 2022)

Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling. - Nathaniel Diamant; Erik Reinertsen; Steven Song; Aaron D. Aguirre; Collin M. Stultz; Puneet Batra (PLoS Comput. Biol., 2022)

QTNet: Deep Learning for Estimating QT Intervals Using a Single Lead ECG. - Ridwan Alam; Aaron D. Aguirre; Collin M. Stultz (EMBC, 2023)

Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series. - Aniruddh Raghu; Payal Chandak; Ridwan Alam; John V. Guttag; Collin M. Stultz (ICML, 2023)

Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals. - Hyewon Jeong; Collin M. Stultz; Marzyeh Ghassemi (MLHC, 2023)

Event-Based Contrastive Learning for Medical Time Series. - Hyewon Jeong; Nassim Oufattole; Aparna Balagopalan; Matthew B. A. McDermott; Payal Chandak; Marzyeh Ghassemi; Collin M. Stultz (CoRR, 2023)

Heart Block Identification from 12-Lead ECG: Exploring the Generalizability of Self-Supervised AI. - Teya S. Bergamaschi; Collin M. Stultz; Ridwan Alam (BSN, 2024)

Continuity Contrastive Representations of ECG for Heart Block Detection from Only Lead-I. - Teya S. Bergamaschi; Collin M. Stultz; Ridwan Alam (ML4H@NeurIPS, 2024)

Event-Based Contrastive Learning for Medical Time Series. - Nassim Oufattole; Hyewon Jeong; Matthew B. A. McDermott; Aparna Balagopalan; Bryan Jangeesingh; Marzyeh Ghassemi; Collin M. Stultz (MLHC, 2024)

Detecting QT prolongation From a Single-lead ECG With Deep Learning. - Ridwan Alam; Aaron D. Aguirre; Collin M. Stultz (CoRR, 2024)

Estimating ECG Intervals from Lead-I Alone: External Validation of Supervised Models. - Ridwan Alam; Collin M. Stultz (CoRR, 2024)

MEDS-Tab: Automated tabularization and baseline methods for MEDS datasets. - Nassim Oufattole; Teya S. Bergamaschi; Aleksia Kolo; Hyewon Jeong; Hanna Gaggin; Collin M. Stultz; Matthew B. A. McDermott (CoRR, 2024)