Predicting adverse cardiac events in sarcoidosis: deep learning from automated characterization of regional myocardial remodeling

Right Ventricular Abnormalities on Cardiovascular Magnetic Resonance Imaging in Patients With Sarcoidosis

(2020) Pratik S. Velangi et al.   JACC-Cardiovascular Imaging

Prediction of prognosis in patients with tetralogy of Fallot based on deep learning imaging analysis

(2020) Gerhard Paul Diller et al.   HEART

Applying machine learning to detect early stages of cardiac remodelling and dysfunction

(2020) František Sabovčik et al.   European Heart Journal-Cardiovascular Imaging

Ventricular geometry–regularized QRSd predicts cardiac resynchronization therapy response: machine learning from crosstalk between electrocardiography and echocardiography

(2019) Juan Lei et al.   INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING

The Diagnostic and Prognostic Value of Echocardiographic Strain

(2019) Arushi Singh et al.   JAMA Cardiology

OUP accepted manuscript

(2018)   EUROPEAN HEART JOURNAL

Big Data and Machine Learning in Health Care

(2018) Andrew L. Beam et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Artificial Intelligence in Cardiology

(2018) Kipp W. Johnson et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Usefulness of Total 12-Lead QRS Voltage as a Clue to Diagnosis of Patients With Cardiac Sarcoidosis Severe Enough to Warrant Orthotopic Heart Transplant

(2018) William C. Roberts et al.   JAMA Cardiology

Multi-Objective Evolutionary approach for the Performance Improvement of Learners using Ensembling Feature selection and Discretization Technique on Medical data

(2018) Deepak Singh et al.   Current Medical Imaging Reviews

A 54-year-old man with new-onset ventricular fibrillation

(2017) Kan Liu et al.   HEART

Myocardial contractile patterns predict future cardiac events in sarcoidosis

(2017) Jian Chen et al.   INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING

T1 and T2 Mapping in Recognition of Early Cardiac Involvement in Systemic Sarcoidosis

(2017) Valentina O. Puntmann et al.   RADIOLOGY

Prognostic Value of CMR-Verified Myocardial Scarring in Cardiac Sarcoidosis

(2017) Albert de Roos et al.   JACC-Cardiovascular Imaging

Complementary Role of CMR to Conventional Screening in the Diagnosis and Prognosis of Cardiac Sarcoidosis

(2017) Vasileios Kouranos et al.   JACC-Cardiovascular Imaging

Prognostic Value of Myocardial Scarring on CMR in Patients With Cardiac Sarcoidosis

(2017) G. Cameron Coleman et al.   JACC-Cardiovascular Imaging

Association of Multiorgan Computed Tomographic Phenomap With Adverse Cardiovascular Health Outcomes

(2017) Ravi V. Shah et al.   JAMA Cardiology

Moving beyond regression techniques in cardiovascular risk prediction: applying machine learning to address analytic challenges

(2016) Benjamin A. Goldstein et al.   EUROPEAN HEART JOURNAL

Relative Wall Thickness and the Risk for Ventricular Tachyarrhythmias in Patients With Left Ventricular Dysfunction

(2016) Yitschak Biton et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Predicting the Future — Big Data, Machine Learning, and Clinical Medicine

(2016) Ziad Obermeyer et al.   NEW ENGLAND JOURNAL OF MEDICINE

Pathophysiology and clinical management of cardiac sarcoidosis

(2015) Nabeel Hamzeh et al.   Nature Reviews Cardiology

Cardiac Sarcoidosis: The Challenge of Radiologic-Pathologic Correlation—Erratum

(2015) Jean Jeudy et al.   RADIOGRAPHICS

Late gadolinium enhancement identified with cardiac magnetic resonance imaging in sarcoidosis patients is associated with long-term ventricular arrhythmia and sudden cardiac death

(2015) J. Nadel et al.   European Heart Journal-Cardiovascular Imaging

Incidence and Prognostic Significance of Myocardial Late Gadolinium Enhancement in Patients With Sarcoidosis Without Cardiac Manifestation

(2014) Toshiyuki Nagai et al.   CHEST

Cardiac magnetic resonance evaluation of left ventricular remodelling distribution in cardiac amyloidosis

(2014) Eduardo Pozo et al.   HEART

Extensive late gadolinium enhancement on cardiovascular magnetic resonance predicts adverse outcomes and lack of improvement in LV function after steroid therapy in cardiac sarcoidosis

(2014) Takayuki Ise et al.   HEART

Morphologic Features of Cardiac Sarcoidosis in Native Hearts of Patients Having Cardiac Transplantation

(2013) William C. Roberts et al.   AMERICAN JOURNAL OF CARDIOLOGY

Geometric Assessment of Asymmetric Septal Hypertrophic Cardiomyopathy by CMR

(2012) Anca Florian et al.   JACC-Cardiovascular Imaging

Cardiac sarcoidosis: applications of imaging in diagnosis and directing treatment

(2011) G. Youssef et al.   HEART

Detection of Myocardial Damage in Patients With Sarcoidosis

(2009) Manesh R. Patel et al.   CIRCULATION

Automated Segmentation of Routine Clinical Cardiac Magnetic Resonance Imaging for Assessment of Left Ventricular Diastolic Dysfunction

(2009) Keigo Kawaji et al.   Circulation-Cardiovascular Imaging