Novel Functional Magnetic Resonance Imaging Analysis Approaches for Investigations of the Dynamics of Resting-State Functional Connectivity. - Alireza Sojoudi (2018)

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. - Víctor M. Campello; Polyxeni Gkontra; Cristian Izquierdo; Carlos Martín-Isla; Alireza Sojoudi; Peter M. Full; Klaus H. Maier-Hein; Yao Zhang 010; Zhiqiang He 002; Jun Ma 016; Mario Parreño; Alberto Albiol; et al. (IEEE Trans. Medical Imaging, 2021)

Evaluating nnU-Net for early ischemic change segmentation on non-contrast computed tomography in patients with Acute Ischemic Stroke. - Houssam El-Hariri; Luis A. Souto Maior Neto; Petra Cimflova; Fouzi Bala; Rotem Golan; Alireza Sojoudi; Chris Duszynski; Ibukun Elebute; Seyed Hossein Mousavi; Wu Qiu; Bijoy K. Menon (Comput. Biol. Medicine, 2022)

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. - Carlos Martín-Isla; Víctor M. Campello; Cristian Izquierdo; Kaisar Kushibar; Carla Sendra-Balcells; Polyxeni Gkontra; Alireza Sojoudi; Mitchell J. Fulton; Tewodros Weldebirhan Arega; Kumaradevan Punithakumar; Lei Li 020; Xiaowu Sun; et al. (IEEE J. Biomed. Health Informatics, 2023)