Collin M. Stultz

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 18

Top Topics

Coronary Artery Disease

Metric Learning

Intrinsically Disordered

Top Venues

Publications

Ridwan Alam, Aaron Aguirre, Collin M. Stultz
Detecting QT prolongation From a Single-lead ECG With Deep Learning. CoRR (2024)
Hyewon Jeong, Collin M. Stultz, Marzyeh Ghassemi
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals. MLHC (2023)
Hyewon Jeong, Collin M. Stultz, Marzyeh Ghassemi
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals. CoRR (2023)
Hyewon Jeong, Nassim Oufattole, Aparna Balagopalan, Matthew B. A. McDermott, Payal Chandak, Marzyeh Ghassemi, Collin M. Stultz
Event-Based Contrastive Learning for Medical Time Series. CoRR (2023)
Aniruddh Raghu, Payal Chandak, Ridwan Alam, John V. Guttag, Collin M. Stultz
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series. ICML (2023)
Ridwan Alam, Aaron D. Aguirre, Collin M. Stultz
QTNet: Deep Learning for Estimating QT Intervals Using a Single Lead ECG. EMBC (2023)
Aniruddh Raghu, Payal Chandak, Ridwan Alam, John V. Guttag, Collin M. Stultz
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series. CoRR (2023)
Uri Kartoun, Paul Myers, Kristen A. Severson, Wangzhi Dai, Kenney Ng, Collin M. Stultz
Feature Selection Based on Subpopulations and Propensity Score Matching: A Coronary Artery Disease Use Case using the UK Biobank. AMIA (2022)
Aniruddh Raghu, Divya Shanmugam, Eugene Pomerantsev, John V. Guttag, Collin M. Stultz
Data Augmentation for Electrocardiograms. CHIL (2022)
Nathaniel Diamant, Erik Reinertsen, Steven Song, Aaron Aguirre, Collin M. Stultz, Puneet Batra
Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling. PLoS Comput. Biol. 18 (2) (2022)
Aniruddh Raghu, Divya Shanmugam, Eugene Pomerantsev, John V. Guttag, Collin M. Stultz
Data Augmentation for Electrocardiograms. CoRR (2022)
Aniruddh Raghu, John V. Guttag, Katherine Young, Eugene Pomerantsev, Adrian V. Dalca, Collin M. Stultz
Learning to Predict with Supporting Evidence: Applications to Clinical Risk Prediction. CoRR (2021)
Aniruddh Raghu, John V. Guttag, Katherine Young, Eugene Pomerantsev, Adrian V. Dalca, Collin M. Stultz
Learning to predict with supporting evidence: applications to clinical risk prediction. CHIL (2021)
Wangzhi Dai, Collin M. Stultz
Quantifying Common Support between Multiple Treatment Groups Using a Contrastive-VAE. ML4H@NeurIPS (2020)
Paul Myers, Kenney Ng, Kristen A. Severson, Uri Kartoun, Wangzhi Dai, Wei Huang, Fred Anderson, Collin M. Stultz
Identifying unreliable predictions in clinical risk models. npj Digit. Medicine 3 (2020)
Zachary Ziegler, Molly Schmidt, Thomas Gurry, Virginia Burger, Collin M. Stultz
Mollack: a web server for the automated creation of conformational ensembles for intrinsically disordered proteins. Bioinform. 32 (16) (2016)
Yun Liu, Kun-Ta Chuang, Fu-Wen Liang, Huey-Jen Su, Collin M. Stultz, John V. Guttag
Transferring Knowledge from Text to Predict Disease Onset. CoRR (2016)
Yun Liu, Collin M. Stultz, John V. Guttag, Kun-Ta Chuang, Fu-Wen Liang, Huey-Jen Su
Transferring Knowledge from Text to Predict Disease Onset. MLHC (2016)
Charles K. Fisher, Orly Ullman, Collin M. Stultz
Efficient Construction of Disordered Protein Ensembles in a Bayesian Framework with Optimal Selection of Conformations. Pacific Symposium on Biocomputing (2012)
Zeeshan Syed, Collin M. Stultz, Manolis Kellis, Piotr Indyk, John V. Guttag
Motif discovery in physiological datasets: A methodology for inferring predictive elements. ACM Trans. Knowl. Discov. Data 4 (1) (2010)
Christian R. Schubert, Collin M. Stultz
The multi-copy simultaneous search methodology: a fundamental tool for structure-based drug design. J. Comput. Aided Mol. Des. 23 (8) (2009)
Austin Huang, Collin M. Stultz
The Effect of a ΔK280 Mutation on the Unfolded State of a Microtubule-Binding Repeat in Tau. PLoS Comput. Biol. 4 (8) (2008)
Zeeshan Syed, John V. Guttag, Collin M. Stultz
Clustering and Symbolic Analysis of Cardiovascular Signals: Discovery and Visualization of Medically Relevant Patterns in Long-Term Data Using Limited Prior Knowledge. EURASIP J. Adv. Signal Process. 2007 (2007)