Multiple Kernel Learning Applied to the Prediction of Prostate Cancer Recurrence from MRI Radiomic Features. - Diana Marcela Marín Castrillón; Pierre Fontaine; Khemara Gnep; Renaud de Crevoisier; Gloria Díaz; Oscar Acosta (BIBE, 2019)

Characterizing ResNet Filters to Identify Positive and Negative Findings in Breast MRI Sequences. - Diana Marcela Marín Castrillón; Kevin Osorno-Castillo; Liliana M. Hernández; Andrés E. Castro-Ospina; Gloria M. Díaz (WEA, 2020)

Segmentation of 4D Flow MRI: Comparison between 3D Deep Learning and Velocity-Based Level Sets. - Armando Barrera-Naranjo; Diana Marcela Marín Castrillón; Thomas Decourselle; Siyu Lin; Sarah Leclerc; Marie-Catherine Morgant; Chloé Bernard; Shirley De Oliveira; Arnaud Boucher; Benoit Presles; Olivier Bouchot; Jean-Joseph Christophe; et al. (J. Imaging, 2023)

Computer-aided shape features extraction and regression models for predicting the ascending aortic aneurysm growth rate. - Leonardo Geronzi; Antonio Martinez; Michel Rochette; Kexin Yan; Aline Bel-Brunon; Pascal Haigron; Pierre Escrig; Jacques Tomasi; Morgan Daniel; Alain Lalande; Siyu Lin; Diana Marcela Marín Castrillón; et al. (Comput. Biol. Medicine, 2023)