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2020 – today
- 2024
[i10]Ridwan Alam, Aaron D. Aguirre, Collin M. Stultz:
Detecting QT prolongation From a Single-lead ECG With Deep Learning. CoRR abs/2401.05378 (2024)- [i9]Ridwan Alam, Collin M. Stultz:
Estimating ECG Intervals from Lead-I Alone: External Validation of Supervised Models. CoRR abs/2408.15272 (2024) - [i8]Nassim Oufattole, Teya Bergamaschi, Aleksia Kolo, Hyewon Jeong, Hanna Gaggin, Collin M. Stultz, Matthew B. A. McDermott:
MEDS-Tab: Automated tabularization and baseline methods for MEDS datasets. CoRR abs/2411.00200 (2024) - 2023
- [c10]Ridwan Alam
, Aaron D. Aguirre, Collin M. Stultz:
QTNet: Deep Learning for Estimating QT Intervals Using a Single Lead ECG. EMBC 2023: 1-4 - [c9]Aniruddh Raghu, Payal Chandak, Ridwan Alam, John V. Guttag, Collin M. Stultz:
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series. ICML 2023: 28531-28548 - [c8]Hyewon Jeong, Collin M. Stultz, Marzyeh Ghassemi:
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals. MLHC 2023: 321-342 - [i7]Aniruddh Raghu, Payal Chandak, Ridwan Alam, John V. Guttag, Collin M. Stultz:
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series. CoRR abs/2307.10923 (2023) - [i6]Hyewon Jeong, Collin M. Stultz, Marzyeh Ghassemi:
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals. CoRR abs/2308.04650 (2023) - [i5]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 abs/2312.10308 (2023) - 2022
- [j7]Nathaniel Diamant, Erik Reinertsen, Steven Song, Aaron D. Aguirre, Collin M. Stultz, Puneet Batra:
Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling. PLoS Comput. Biol. 18(2) (2022) - [c7]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 - [c6]Aniruddh Raghu, Divya Shanmugam, Eugene Pomerantsev, John V. Guttag, Collin M. Stultz:
Data Augmentation for Electrocardiograms. CHIL 2022: 282-310 - [i4]Aniruddh Raghu, Divya Shanmugam, Eugene Pomerantsev, John V. Guttag, Collin M. Stultz:
Data Augmentation for Electrocardiograms. CoRR abs/2204.04360 (2022) - 2021
- [c5]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: 95-104 - [i3]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 abs/2103.02768 (2021) - [i2]Nathaniel Diamant, Erik Reinertsen, Steven Song, Aaron D. Aguirre, Collin M. Stultz, Puneet Batra:
Patient Contrastive Learning: a Performant, Expressive, and Practical Approach to ECG Modeling. CoRR abs/2104.04569 (2021) - 2020
- [j6]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) - [c4]Wangzhi Dai, Collin M. Stultz:
Quantifying Common Support between Multiple Treatment Groups Using a Contrastive-VAE. ML4H@NeurIPS 2020: 41-52
2010 – 2019
- 2019
- [c3]Wangzhi Dai, Kenney Ng, Kristen A. Severson, Wei Huang, Fred Anderson, Collin M. Stultz:
Generative Oversampling with a Contrastive Variational Autoencoder. ICDM 2019: 101-109 - 2016
- [j5]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): 2545-2547 (2016) - [c2]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: 150-163 - [i1]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 abs/1608.02071 (2016) - 2012
- [c1]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: 82-93 - 2010
- [j4]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): 2:1-2:23 (2010)
2000 – 2009
- 2009
- [j3]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): 475-489 (2009) - 2008
- [j2]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) - 2007
- [j1]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)
Coauthor Index
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last updated on 2024-12-11 20:39 CET by the dblp team
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