Maxime Sermesant

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

Olivier Bernard, Alain Lalande, Clément Zotti et al. · IEEE Transactions on Medical Imaging · 2018 · 2.1K citations · Full text

Convolutional Neural Network, Multiple Instance Learning, Engineering +22

A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging

Zhaohan Xiong, Qing Xia, Zhiqiang Hu et al. · Medical Image Analysis · 2020 · 446 citations · Full text

Engineering, Health Sciences, Medical Imaging +12

Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation

Olivier Clatz, Maxime Sermesant, Pierre‐Yves Bondiau et al. · IEEE Transactions on Medical Imaging · 2005 · 354 citations

Tumor Growth Simulation, Realistic Simulation, Engineering +22

Patient-specific electromechanical models of the heart for the prediction of pacing acute effects in CRT: A preliminary clinical validation

Maxime Sermesant, Radomí­r Chabiniok, Phani Chinchapatnam et al. · Medical Image Analysis · 2011 · 226 citations

Electrophysiological Evaluation, Heart Failure, Device Therapy +11

Inverse Relationship Between Fractionated Electrograms and Atrial Fibrosis in Persistent Atrial Fibrillation

Amir Jadidi, Hubert Cochet, Ashok J. Shah et al. · Journal of the American College of Cardiology · 2013 · 221 citations · Full text

Electrophysiological Evaluation, Heart Failure, Atrial Fibrosis +8