Statistical normalization techniques for magnetic resonance imaging()()

por Shinohara, Russell T., Sweeney, Elizabeth M., Goldsmith, Jeff, Shiee, Navid, Mateen, Farrah J., Calabresi, Peter A., Jarso, Samson, Pham, Dzung L., Reich, Daniel S., Crainiceanu, Ciprian M.
Publicado 2014

Corrigendum to “Statistical normalization techniques for magnetic resonance imaging” [NeuroImage: Clinical 6 (2014) 9–19]

por Shinohara, Russell T., Sweeney, Elizabeth M., Goldsmith, Jeff, Shiee, Navid, Mateen, Farrah J., Calabresi, Peter A., Jarso, Samson, Pham, Dzung L., Reich, Daniel S., Crainiceanu, Ciprian M.
Publicado 2015

OASIS is Automated Statistical Inference for Segmentation, with applications to multiple sclerosis lesion segmentation in MRI()

por Sweeney, Elizabeth M., Shinohara, Russell T., Shiee, Navid, Mateen, Farrah J., Chudgar, Avni A., Cuzzocreo, Jennifer L., Calabresi, Peter A., Pham, Dzung L., Reich, Daniel S., Crainiceanu, Ciprian M.
Publicado 2013

Revisiting Brain Atrophy and Its Relationship to Disability in Multiple Sclerosis

por Shiee, Navid, Bazin, Pierre-Louis, Zackowski, Kathleen M., Farrell, Sheena K., Harrison, Daniel M., Newsome, Scott D., Ratchford, John N., Caffo, Brian S., Calabresi, Peter A., Pham, Dzung L., Reich, Daniel S.
Publicado 2012