B. Fornwalt

发表

Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration

Brandon K. Fornwalt, Jonathan D. Suever, M. Arbabshirani, 2018, npj Digital Medicine.

Deep Neural Networks can Predict Incident Atrial Fibrillation from the 12-lead Electrocardiogram and may help Prevent Associated Strokes

Kipp W. Johnson, Brandon K. Fornwalt, Christopher W. Good, 2020, medRxiv.

Association Between Titin Loss-of-Function Variants and Early-Onset Atrial Fibrillation

Gonçalo Abecasis, Dan M Roden, Christopher M Haggerty, 2018, JAMA.

Predicting deterioration of ventricular function in patients with repaired tetralogy of Fallot using machine learning

Christopher M Haggerty, Brandon K. Fornwalt, Tal Geva, 2018, European heart journal cardiovascular Imaging.

Agreement Is Poor Among Current Criteria Used to Define Response to Cardiac Resynchronization Therapy

Brandon K. Fornwalt, John N Oshinski, Jonathan D. Suever, 2010, Circulation.

Determination of transmural, endocardial, and epicardial radial strain and strain rate from phase contrast MR velocity data

Brandon K. Fornwalt, John N Oshinski, Brandon K Fornwalt, 2008, Journal of magnetic resonance imaging : JMRI.

Simplified post processing of cine DENSE cardiovascular magnetic resonance for quantification of cardiac mechanics

Jonathan D. Suever, Gregory J. Wehner, Sean M. Hamlet, 2014, Journal of Cardiovascular Magnetic Resonance.

A new method for the determination of aortic pulse wave velocity using cross‐correlation on 2D PCMR velocity data

Michael Jerosch-Herold, John N. Oshinski, Brandon K. Fornwalt, 2008, Journal of magnetic resonance imaging : JMRI.

Role of MRI in Patient Selection for CRT

Brandon K. Fornwalt, J. Oshinski, B. Fornwalt, 2008, Echocardiography.

Managing Secondary Genomic Findings Associated With Arrhythmogenic Right Ventricular Cardiomyopathy: Case Studies and Proposal for Clinical Surveillance

Brandon K. Fornwalt, H. Calkins, D. Judge, 2018, Circulation. Genomic and precision medicine.

OASIS +: leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortality

Brandon K. Fornwalt, B. Fornwalt, Y. El-Manzalawy, 2021, BMC Medical Informatics and Decision Making.

An Unsupervised Homogenization Pipeline for Clustering Similar Patients using Electronic Health Record Data

Brett K. Beaulieu-Jones, Gregory J. Wehner, M. Ritchie, 2017, 1801.00065.

Genomics-First Evaluation of Heart Disease Associated With Titin-Truncating Variants.

Brandon K. Fornwalt, David L. Birtwell, Michael E. Hall, 2019, Circulation.

Left and right ventricular dyssynchrony and strains from cardiovascular magnetic resonance feature tracking do not predict deterioration of ventricular function in patients with repaired tetralogy of Fallot

Brandon K. Fornwalt, Jonathan D. Suever, Gregory J. Wehner, 2016, Journal of Cardiovascular Magnetic Resonance.

Predicting Survival From Large Echocardiography and Electronic Health Record Datasets: Optimization With Machine Learning.

Brandon K. Fornwalt, Gregory J. Wehner, Manar D. Samad, 2019, JACC. Cardiovascular imaging.

Association between left ventricular mechanics and diffuse myocardial fibrosis in patients with repaired Tetralogy of Fallot: a cross-sectional study

Jonathan D. Suever, Gregory J. Wehner, R. Charnigo, 2017, Journal of Cardiovascular Magnetic Resonance.

Advanced cardiac chemical exchange saturation transfer (cardioCEST) MRI for in vivo cell tracking and metabolic imaging

Brandon K. Fornwalt, B. Fornwalt, J. Unrine, 2016, NMR in biomedicine.

Smooth Muscle Cell Deletion of Low-Density Lipoprotein Receptor–Related Protein 1 Augments Angiotensin II–Induced Superior Mesenteric Arterial and Ascending Aortic Aneurysms

Brandon K. Fornwalt, B. Fornwalt, D. Strickland, 2015, Arteriosclerosis, thrombosis, and vascular biology.

Using a respiratory navigator significantly reduces variability when quantifying left ventricular torsion with cardiovascular magnetic resonance

Jonathan D. Suever, Gregory J. Wehner, Sean M. Hamlet, 2017, Journal of Cardiovascular Magnetic Resonance.

Regional quantification of myocardial mechanics in rat using 3D cine DENSE cardiovascular magnetic resonance

Gregory J. Wehner, K. Campbell, B. Fornwalt, 2017, NMR in biomedicine.

Generalizability and quality control of deep learning-based 2D echocardiography segmentation models in a large clinical dataset

Joshua V. Stough, Brandon K. Fornwalt, David P. vanMaanen, 2021, The International Journal of Cardiovascular Imaging.

Abstract 14425: Deep Neural Networks Can Predict 1-Year Mortality Directly From ECG Signal, Even When Clinically Interpreted as Normal

Joshua V. Stough, Christopher W. Good, David P. vanMaanen, 2019 .

Children with obesity have cardiac remodeling and dysfunction: a cine DENSE magnetic resonance imaging study

Jonathan D. Suever, Gregory J. Wehner, Sean M. Hamlet, 2015, Journal of Cardiovascular Magnetic Resonance.

The dyssynchrony in predicting response to cardiac resynchronization therapy: a call for change.

Brandon K. Fornwalt, Brandon K Fornwalt, B. Fornwalt, 2011, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

Patients with repaired tetralogy of Fallot suffer from intra- and inter-ventricular cardiac dyssynchrony: a cardiac magnetic resonance study.

Christopher M Haggerty, Brandon K. Fornwalt, Tal Geva, 2014, European heart journal cardiovascular Imaging.

Comparison of left ventricular strains and torsion derived from feature tracking and DENSE CMR

Brandon K. Fornwalt, Jonathan D. Suever, Gregory J. Wehner, 2018, Journal of Cardiovascular Magnetic Resonance.

Impact of the cone operation on left ventricular size, function, and dyssynchrony in Ebstein anomaly: a cardiovascular magnetic resonance study

Brandon K. Fornwalt, B. Fornwalt, A. Powell, 2018, Journal of Cardiovascular Magnetic Resonance.

Quantitative Gadolinium-Free Cardiac Fibrosis Imaging in End Stage Renal Disease Patients Reveals A Longitudinal Correlation with Structural and Functional Decline

Brandon K. Fornwalt, Kristin N. Andres, B. Fornwalt, 2018, Scientific Reports.

Rad GTPase Deletion Attenuates Post-Ischemic Cardiac Dysfunction and Remodeling

B. Fornwalt, D. Andres, E. Gao, 2018, JACC. Basic to translational science.

Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network

Kipp W. Johnson, Joshua V. Stough, Brandon K. Fornwalt, 2019, Nature Medicine.

Prevalence and Electronic Health Record-based Phenotype of Loss-of-function Genetic Variants in Arrhythmogenic Right Ventricular Cardiomyopathy-associated Genes.

Brandon K. Fornwalt, Dustin N. Hartzel, Eric D. Carruth, 2019, Circulation. Genomic and precision medicine.

Reproducibility of cine displacement encoding with stimulated echoes (DENSE) cardiovascular magnetic resonance for measuring left ventricular strains, torsion, and synchrony in mice

Brandon K. Fornwalt, R. Charnigo, F. Epstein, 2013, Journal of Cardiovascular Magnetic Resonance.

Endophenotype effect sizes support variant pathogenicity in monogenic disease susceptibility genes

Brandon K. Fornwalt, Henry J. Lin, K. Lunetta, 2022, Nature Communications.

Electronic Health Record Phenotype in Subjects with Genetic Variants Associated with Arrhythmogenic Right Ventricular Cardiomyopathy: A Study in 30,716 Subjects with Exome Sequencing: Genotype-Phenotype Association in Incidental ARVC Genetic Findings

Matthew S. Lebo, Alexander E. Lopez, Christopher D. Nevius, 2017 .

Typical readout durations in spiral cine DENSE yield blurred images and underestimate cardiac strains at both 3.0 T and 1.5 T.

Jonathan D. Suever, Gregory J. Wehner, Sean M. Hamlet, 2018, Magnetic resonance imaging.

An interactive videogame designed to improve respiratory navigator efficiency in children undergoing cardiovascular magnetic resonance

Jonathan D. Suever, Gregory J. Wehner, Sean M. Hamlet, 2016, Journal of Cardiovascular Magnetic Resonance.

Left ventricular mechanical dysfunction in diet-induced obese mice is exacerbated during inotropic stress: a cine DENSE cardiovascular magnetic resonance study

Brandon K. Fornwalt, Jonathan D. Suever, R. Charnigo, 2015, Journal of Cardiovascular Magnetic Resonance.

Reply: The Competitive Advantage of Adaptability in the Approach to Heart Failure Populations.

Brandon K. Fornwalt, B. Fornwalt, C. Haggerty, 2020, JACC. Heart failure.

QRS duration predicts death and hospitalization among patients with atrial fibrillation irrespective of heart failure: evidence from the AFFIRM study.

Brandon K. Fornwalt, R. Charnigo, A. Natale, 2014, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

Endophenotype Effect Sizes Provide Evidence Supporting Variant Pathogenicity in Monogenic Disease Susceptibility Genes

Brandon K. Fornwalt, K. Lunetta, S. Redline, 2021, medRxiv.

Clinical Findings and Diagnostic Yield of Arrhythmogenic Cardiomyopathy Through Genomic Screening of Pathogenic or Likely Pathogenic Desmosome Gene Variants

Brandon K. Fornwalt, Christopher D. Nevius, Eric D. Carruth, 2021, Circulation. Genomic and precision medicine.

Predictive Accuracy of a Clinical and Genetic Risk Model for Atrial Fibrillation

Brandon K. Fornwalt, Dustin N. Hartzel, K. Lunetta, 2021, Circulation. Genomic and precision medicine.

Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation–Related Stroke

Kipp W. Johnson, Brandon K. Fornwalt, Christopher W. Good, 2021, Circulation.

Monogenic and Polygenic Contributions to QTc Prolongation in the Population

Brandon K. Fornwalt, Henry J. Lin, K. Lunetta, 2021, medRxiv.

Rare Coding Variants Associated With Electrocardiographic Intervals Identify Monogenic Arrhythmia Susceptibility Genes

Brandon K. Fornwalt, Henry J. Lin, K. Lunetta, 2021, Circulation. Genomic and precision medicine.

Telemetric Blood Pressure Assessment in Angiotensin II-Infused ApoE-/- Mice: 28 Day Natural History and Comparison to Tail-Cuff Measurements

Brandon K. Fornwalt, B. Fornwalt, C. Haggerty, 2015, PloS one.

Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortality

Brandon K. Fornwalt, Jonathan D. Suever, Gregory J. Wehner, 2021, Nature Biomedical Engineering.

Routinely reported ejection fraction and mortality in clinical practice: where does the nadir of risk lie?

Brandon K. Fornwalt, Jonathan D. Suever, Gregory J. Wehner, 2019, European heart journal.

Ambulatory systolic blood pressure and obesity are independently associated with left ventricular hypertrophic remodeling in children

Jonathan D. Suever, Gregory J. Wehner, Christopher D. Nevius, 2017, Journal of Cardiovascular Magnetic Resonance.

Impaired right ventricular contractile function in childhood obesity and its association with right and left ventricular changes: a cine DENSE cardiac magnetic resonance study

Brandon K. Fornwalt, Jonathan D. Suever, Gregory J. Wehner, 2017, Journal of Cardiovascular Magnetic Resonance.

Gadolinium free cardiovascular magnetic resonance with 2-point Cine balanced steady state free precession

Brandon K. Fornwalt, Kristin N. Andres, R. Charnigo, 2015, Journal of Cardiovascular Magnetic Resonance.

A Machine Learning Approach to Management of Heart Failure Populations.

Joshua V. Stough, Brandon K. Fornwalt, Christopher W. Good, 2020, JACC. Heart failure.

3D-Encoded DENSE MRI with Zonal Excitation for Quantifying Biventricular Myocardial Strain During a Breath-Hold

Brandon K. Fornwalt, Christopher D. Nevius, Eric D. Carruth, 2021, Cardiovascular Engineering and Technology.

rECHOmmend: An ECG-Based Machine Learning Approach for Identifying Patients at Increased Risk of Undiagnosed Structural Heart Disease Detectable by Echocardiography

Brandon K. Fornwalt, Christopher W. Good, S. Steinhubl, 2021, medRxiv.

Cardiac remodeling and dysfunction in childhood obesity: a cardiovascular magnetic resonance study

Brandon K. Fornwalt, Jonathan D. Suever, Gregory J. Wehner, 2016, Journal of Cardiovascular Magnetic Resonance.

Electronic Health Record Phenotype in Subjects with Genetic Variants Associated with Arrhythmogenic Right Ventricular Cardiomyopathy: A Study in 30,716 Subjects with Exome Sequencing

Matthew S. Lebo, Alexander E. Lopez, Brandon K. Fornwalt, 2017, Genetics in Medicine.

Left ventricular and atrial segmentation of 2D echocardiography with convolutional neural networks

Xiaoyan Zhang, Joshua V. Stough, Sushravya Raghunath, 2020, Medical Imaging: Image Processing.

Ventricular segmentation and quantitative assessment in cardiac MR using convolutional neural networks

Joshua V. Stough, Brandon K. Fornwalt, Christopher M. Haggerty, 2018, Medical Imaging.

Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network

Kipp W. Johnson, Joshua V. Stough, Joseph B. Leader, 2020, Nature Medicine.

Optimal configuration of respiratory navigator gating for the quantification of left ventricular strain using spiral cine displacement encoding with stimulated echoes (DENSE) MRI

Sean M. Hamlet, Kristin N. Andres, X. Zhong, 2017, Journal of magnetic resonance imaging : JMRI.

2D cine DENSE with low encoding frequencies accurately quantifies cardiac mechanics with improved image characteristics

Jonathan D. Suever, Gregory J. Wehner, Sean M. Hamlet, 2015, Journal of Cardiovascular Magnetic Resonance.

Genomic Screening for Pathogenic Transthyretin Variants Finds Evidence of Underdiagnosed Amyloid Cardiomyopathy From Health Records

Brandon K. Fornwalt, H. Kirchner, B. Fornwalt, 2021, JACC. CardioOncology.

A deep neural network predicts survival after heart imaging better than cardiologists pdf

Joseph B. Leader, H. Lester Kirchner, Brandon K. Fornwalt, 2018, ArXiv.

Quantitative Gadolinium-Free Cardiac Fibrosis Imaging in End Stage Renal Disease Patients Reveals A Longitudinal Correlation with Structural and Functional Decline

Kristin N. Andres, B. Fornwalt, M. Vandsburger, 2018, Scientific Reports.

It's time for a paradigm shift in the quantitative evaluation of left ventricular dyssynchrony.

John N Oshinski, Brandon K Fornwalt, J. Oshinski, 2009, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

Measures of dyssynchrony in the left ventricle of healthy children and young patients with dilated cardiomyopathy.

Brandon K. Fornwalt, B. Fornwalt, D. Fyfe, 2013, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

Phosphorus Limitation of Coastal Ecosystem Processes

Brandon K. Fornwalt, P. V. Sundareshwar, B. Fornwalt, 2003, Science.