Myocardial Infarction Segmentation From Late Gadolinium Enhancement MRI By Neural Networks and Prior Information. - Zhihao Chen 005; Alain Lalande; Michel Salomon; Thomas Decourselle; Thibaut Pommier; Gilles Perrot; Raphaël Couturier (IJCNN, 2020)

Segmentation of the Myocardium on Late-Gadolinium Enhanced MRI based on 2.5 D Residual Squeeze and Excitation Deep Learning Model. - Abdul Qayyum; Alain Lalande; Thomas Decourselle; Thibaut Pommier; Alexandre Cochet; Fabrice Mériaudeau (CoRR, 2020)

Emidec: A Database Usable for the Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI. - Alain Lalande; Zhihao Chen 005; Thomas Decourselle; Abdul Qayyum; Thibaut Pommier; Luc Lorgis; Ezequiel de la Rosa; Alexandre Cochet; Yves Cottin; Dominique Ginhac; Michel Salomon; Raphaël Couturier; et al. (Data, 2020)

Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI. - Zhihao Chen 005; Alain Lalande; Michel Salomon; Thomas Decourselle; Thibaut Pommier; Abdul Qayyum; Jixi Shi; Gilles Perrot; Raphaël Couturier (Comput. Medical Imaging Graph., 2022)

Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. - Alain Lalande; Zhihao Chen 005; Thibaut Pommier; Thomas Decourselle; Abdul Qayyum; Michel Salomon; Dominique Ginhac; Youssef Skandarani; Arnaud Boucher; Khawla Brahim; Marleen de Bruijne; Robin Camarasa; et al. (Medical Image Anal., 2022)