Publications by authors named "Collin M Stultz"

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Inference of single cell profiles from histology stains with the Single Cell omics from Histology Analysis Framework (SCHAF).
Charles Comiter, Xingjian Chen, Eeshit Dhaval Vaishnav, Koseki J Kobayashi-Kirschvink, Metamia Ciampricotti, Collin M Stultz

bioRxiv· June 2025

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Artificial intelligence for hemodynamic monitoring with a wearable electrocardiogram monitor.
Daphne E Schlesinger, Ridwan Alam, Roey Ringel, Eugene Pomerantsev, Srikanth Devireddy, Collin M Stultz

Commun Med (Lond)· January 2025

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What is AI and why should I care?
Collin M Stultz

Heart Rhythm· October 2024

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Detecting QT prolongation from a single-lead ECG with deep learning.
Ridwan Alam, Aaron Aguirre, Collin M Stultz

PLOS Digit Health· June 2024

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Machine Learning for Risk Prediction: Does One Size Really Fit All?
Collin M Stultz

JACC Adv· September 2023

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QTNet: Deep Learning for Estimating QT Intervals Using a Single Lead ECG.
Ridwan Alam, Aaron D Aguirre, Collin M Stultz

Annu Int Conf IEEE Eng Med Biol Soc· July 2023

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ECG-guided non-invasive estimation of pulmonary congestion in patients with heart failure.
Aniruddh Raghu, Daphne Schlesinger, Eugene Pomerantsev, Srikanth Devireddy, Pinak Shah, Collin M Stultz

Sci Rep· March 2023

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Identifying Aortic Stenosis With a Single Parasternal Long-Axis Video Using Deep Learning.
Wangzhi Dai, Hamed Nazzari, Mayooran Namasivayam, Judy Hung, Collin M Stultz

J Am Soc Echocardiogr· January 2023

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Reply: More Than Meets the AI: Electrocardiograms in Heart Failure Prognosis.
Daphne E Schlesinger, Collin M Stultz

JACC Adv· October 2022

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Predicting outcomes in patients with aortic stenosis using machine learning: the Aortic Stenosis Risk (ASteRisk) score.
Mayooran Namasivayam, Paul D Myers, John V Guttag, Romain Capoulade, Philippe Pibarot, Collin M Stultz

Open Heart· May 2022

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A Deep Learning Model for Inferring Elevated Pulmonary Capillary Wedge Pressures From the 12-Lead Electrocardiogram.
Daphne E Schlesinger, Nathaniel Diamant, Aniruddh Raghu, Erik Reinertsen, Katherine Young, Collin M Stultz

JACC Adv· March 2022

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Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling.
Nathaniel Diamant, Erik Reinertsen, Steven Song, Aaron D Aguirre, Collin M Stultz

PLoS Comput Biol· February 2022

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DeepStrain: A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics.
Manuel A Morales, Maaike van den Boomen, Christopher Nguyen, Jayashree Kalpathy-Cramer, Bruce R Rosen, Collin M Stultz

Front Cardiovasc Med· September 2021

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Identifying unreliable predictions in clinical risk models.
Paul D Myers, Kenney Ng, Kristen Severson, Uri Kartoun, Wangzhi Dai, Collin M Stultz

NPJ Digit Med· January 2020

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Choosing Clinical Variables for Risk Stratification Post-Acute Coronary Syndrome.
Paul D Myers, Wei Huang, Fred Anderson, Collin M Stultz

Sci Rep· October 2019

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Solution structure and biochemical characterization of a spare part protein that restores activity to an oxygen-damaged glycyl radical enzyme.
Sarah E J Bowman, Lindsey R F Backman, Rebekah E Bjork, Mary C Andorfer, Santiago Yori, Collin M Stultz

J Biol Inorg Chem· September 2019

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The Advent of Clinically Useful Deep Learning.
Collin M Stultz

JACC Clin Electrophysiol· May 2019

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Machine Learning Improves Risk Stratification After Acute Coronary Syndrome.
Paul D Myers, Benjamin M Scirica, Collin M Stultz

Sci Rep· October 2017

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Hidden States within Disordered Regions of the CcdA Antitoxin Protein.
Virginia M Burger, Alexandra Vandervelde, Jelle Hendrix, Albert Konijnenberg, Frank Sobott, Collin M Stultz

J Am Chem Soc· February 2017

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Beatquency domain and machine learning improve prediction of cardiovascular death after acute coronary syndrome.
Yun Liu, Benjamin M Scirica, Collin M Stultz, John V Guttag

Sci Rep· October 2016

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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

Bioinformatics· August 2016

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Analyzing Ensembles of Amyloid Proteins Using Bayesian Statistics.
Thomas Gurry, Charles K Fisher, Molly Schmidt, Collin M Stultz

Methods Mol Biol· July 2016

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A Structure-free Method for Quantifying Conformational Flexibility in proteins.
Virginia M Burger, Daniel J Arenas, Collin M Stultz

Sci Rep· June 2016

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Expanding the Range of Protein Function at the Far End of the Order-Structure Continuum.
Virginia M Burger, Diego O Nolasco, Collin M Stultz

J Biol Chem· March 2016

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Toward a consensus in protein structure nomenclature.
Linder C DaSilva, Thomas Gurry, Collin M Stultz

Intrinsically Disord Proteins· December 2014

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