Predicting one-year left ventricular mass index regression following transcatheter aortic valve replacement in patients with severe aortic stenosis: A new era is coming

Aortic Dissection is Determined by Specific Shape and Hemodynamic Interactions

(2022) Jessica G. Williams et al.   ANNALS OF BIOMEDICAL ENGINEERING

CT-Based Analysis of Left Ventricular Hemodynamics Using Statistical Shape Modeling and Computational Fluid Dynamics

(2022) Leonid Goubergrits et al.   Frontiers in Cardiovascular Medicine

Left ventricular shape predicts arrhythmic risk in fibrotic dilated cardiomyopathy

(2021) Gabriel Balaban et al.   EUROPACE

A deep-learning approach for direct whole-heart mesh reconstruction

(2021) Fanwei Kong et al.   MEDICAL IMAGE ANALYSIS

Regression of Left Ventricular Mass After Transcatheter Aortic Valve Replacement

(2020) Katherine H. Chau et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Artificial Intelligence in Cardiac Imaging With Statistical Atlases of Cardiac Anatomy

(2020) Kathleen Gilbert et al.   Frontiers in Cardiovascular Medicine

Handling confounding variables in statistical shape analysis - application to cardiac remodelling

(2020) Gabriel Bernardino et al.   MEDICAL IMAGE ANALYSIS

2020 ACC/AHA Guideline for the Management of Patients With Valvular Heart Disease: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines

(2020) Catherine M. Otto et al.   CIRCULATION

Reverse Myocardial Remodeling Following Valve Replacement in Patients With Aortic Stenosis

(2018) Thomas A. Treibel et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

An Asymmetric Wall-Thickening Pattern Predicts Response to Cardiac Resynchronization Therapy

(2018) David R. Warriner et al.   JACC-Cardiovascular Imaging

Atlas-Based Computational Analysis of Heart Shape and Function in Congenital Heart Disease

(2018) Kathleen Gilbert et al.   Journal of Cardiovascular Translational Research

Deep learning analysis of left ventricular myocardium in CT angiographic intermediate-degree coronary stenosis improves the diagnostic accuracy for identification of functionally significant stenosis

(2018) Robbert W. van Hamersvelt et al.   EUROPEAN RADIOLOGY

Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy

(2018) Alireza Mehrtash et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Normal Values of Left Ventricular Mass Index Assessed by Transthoracic Three-Dimensional Echocardiography

(2016) Kei Mizukoshi et al.   JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY

A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion

(2015) Wenjia Bai et al.   MEDICAL IMAGE ANALYSIS

Assessment of valve haemodynamics, reverse ventricular remodelling and myocardial fibrosis following transcatheter aortic valve implantation compared to surgical aortic valve replacement: a cardiovascular magnetic resonance study

(2013) Timothy A Fairbairn et al.   HEART

Ventricular hypertrophy and left atrial dilatation persist and are associated with reduced survival after valve replacement for aortic stenosis

(2013) Jocelyn M. Beach et al.   JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY

Deformable segmentation via sparse representation and dictionary learning

(2012) Shaoting Zhang et al.   MEDICAL IMAGE ANALYSIS

Two-Year Outcomes after Transcatheter or Surgical Aortic-Valve Replacement

(2012) Susheel K. Kodali et al.   NEW ENGLAND JOURNAL OF MEDICINE

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Gender Differences in Left Ventricular Structure and Function During Antihypertensive Treatment

(2008) Eva Gerdts et al.   HYPERTENSION

Survival after valve replacement for aortic stenosis: Implications for decision making

(2008) Tomislav Mihaljevic et al.   JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY

LPLS-regression: a method for prediction and classification under the influence of background information on predictor variables

(2007) Solve Sæbø et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS