Clinical evaluation of self-learning GAN based pseudo-CT generation software for low field pelvic MR
P. Fenoglietto, T. Gevaert, M. Boussaer, E. Delasalles, D. Ioannidou, K. Shreshtha, T. Roque, N. Paragios, D. Azria, E. Ozyar, G. Gungor
AI surpassing human expert: a multi-centric evaluation for organ at risk delineation
D. Azria, L. Boldrini, M. De Ridder, P. Fenoglietto, M A. Gambacorta, T. Gevaert, G. Gungor, F J. Lagerwaard, A E. Marciscano, M. Michalet, H. Nagar, R. Pennell, I. Serbez, B. Vanspeybroeck, T Z. Mustafayev, A. Caffaro, L. Hardy, S. Kandiban, A. Oumani, T. Roque, N. Paragios, K. Shreshtha, E. Ozyar
AI-based OAR delineation in brain T1w-MRI: Overcoming inter- and intra-observer variability
G. Gungor, G. Klausner, G. Gur, I. Serbez, B. Temur, A. Caffaro, L. Hardy, S. Kandiban, A. Oumani, B. Bertrand, K. Shreshtha, T. Roque, B. Atalar, N. Paragios, E. Ozyar
AI-driven combined deformable registration and image synthesis between radiology and histopathology
A. Leroy, M. Lerousseau, T. Henry, T. Estienne, M. Classe, E. Deutsch, V. Grégoire
Statistical discrepancies in GTV delineation for H&N cancer across expert centers
A. Leroy, N. Paragios, E. Deutsch, V. Grégoire, D. Mitrea, A. Pêtre, R. Sun, Y G. Tao
