scispace - formally typeset
A

Alain Lalande

Researcher at University of Burgundy

Publications -  180
Citations -  3863

Alain Lalande is an academic researcher from University of Burgundy. The author has contributed to research in topics: Segmentation & Computer science. The author has an hindex of 24, co-authored 159 publications receiving 2691 citations. Previous affiliations of Alain Lalande include Centre national de la recherche scientifique.

Papers
More filters
Journal ArticleDOI

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

TL;DR: How far state-of-the-art deep learning methods can go at assessing CMRI, i.e., segmenting the myocardium and the two ventricles as well as classifying pathologies is measured, to open the door to highly accurate and fully automatic analysis of cardiac CMRI.
Journal ArticleDOI

What are normal relaxation times of tissues at 3 T

TL;DR: A comprehensive review of the reported relaxation times in the literature in vivo at 3T for a large span of tissues is presented, and a detailed analysis of the different methods and sequences used to calculate the relaxation times is given.
Journal ArticleDOI

Convolutional Neural Network With Shape Prior Applied to Cardiac MRI Segmentation

TL;DR: A novel convolutional neural network architecture to segment images from a series of short-axis cardiac magnetic resonance slices (CMRI) is presented, an extension of the U-net that embeds a cardiac shape prior and involves a loss function tailored to the cardiac anatomy.
Journal ArticleDOI

Major prognostic impact of persistent microvascular obstruction as assessed by contrast-enhanced cardiac magnetic resonance in reperfused acute myocardial infarction

TL;DR: The data suggest that the prognostic impact of PMO might be superior to MO, and high Global Registry of Acute Coronary Events (GRACE) risk score, associated with GRACE score, were predictors of MACE.