Collin M. Stultz

According to our database, Collin M. Stultz authored at least 20 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Detecting QT prolongation From a Single-lead ECG With Deep Learning.

Ridwan Alam, Aaron D. Aguirre, Collin M. Stultz

CoRR, 2024

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

Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals.

Hyewon Jeong, Collin M. Stultz, Marzyeh Ghassemi

Proceedings of the Machine Learning for Healthcare Conference, 2023

Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series.

Aniruddh Raghu, Payal Chandak, Ridwan Alam, John V. Guttag, Collin M. Stultz

Proceedings of the International Conference on Machine Learning, 2023

QTNet: Deep Learning for Estimating QT Intervals Using a Single Lead ECG.

Ridwan Alam, Aaron D. Aguirre, Collin M. Stultz

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

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

Data Augmentation for Electrocardiograms.

Aniruddh Raghu, Divya Shanmugam, Eugene Pomerantsev, John V. Guttag, Collin M. Stultz

Proceedings of the Conference on Health, Inference, and Learning, 2022

Feature Selection Based on Subpopulations and Propensity Score Matching: A Coronary Artery Disease Use Case using the UK Biobank.

Uri Kartoun, Paul Myers, Kristen A. Severson, Wangzhi Dai, Kenney Ng, Collin M. Stultz

Proceedings of the AMIA 2022, 2022

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

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

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020

Identifying unreliable predictions in clinical risk models.

Paul Myers, Kenney Ng, Kristen A. Severson, Uri Kartoun, Wangzhi Dai, Wei Huang, Fred Anderson, Collin M. Stultz

npj Digit. Medicine, 2020

Quantifying Common Support between Multiple Treatment Groups Using a Contrastive-VAE.

Wangzhi Dai, Collin M. Stultz

Proceedings of the Machine Learning for Health Workshop, 2020

2019

Generative Oversampling with a Contrastive Variational Autoencoder.

Wangzhi Dai, Kenney Ng, Kristen A. Severson, Wei Huang, Fred Anderson, Collin M. Stultz

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

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

Transferring Knowledge from Text to Predict Disease Onset.

Yun Liu, Collin M. Stultz, John V. Guttag, Kun-Ta Chuang, Fu-Wen Liang, Huey-Jen Su

Proceedings of the 1st Machine Learning in Health Care, 2016

2012

Efficient Construction of Disordered Protein Ensembles in a Bayesian Framework with Optimal Selection of Conformations.

Charles K. Fisher, Orly Ullman, Collin M. Stultz

Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012

2010

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

2009

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

2008

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

2007

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