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(1 - 12 of 12)
Progressive iron accumulation across multiple sclerosis phenotypes revealed by sparse classification of deep gray matter
Progressive iron accumulation across multiple sclerosis phenotypes revealed by sparse classification of deep gray matter
Elkady, Ahmed M., Cobzas, Dana, Sun, Hongfu, Blevins, Gregg, Wilman, Alan H.
2017
Discriminative analysis of regional evolution of iron and myelin/calcium in deep gray matter of multiple sclerosis and healthy subjects
Discriminative analysis of regional evolution of iron and myelin/calcium in deep gray matter of multiple sclerosis and healthy subjects
Elkady, Ahmed M., Cobzas, Dana, Sun, Hongfu, Blevins, Gregg, Wilman, Alan H.
2018
Segmentation-by-detection: a cascade network for volumetric medical image segmentation
Segmentation-by-detection: a cascade network for volumetric medical image segmentation
Tang, Min, Zhang, Ziehen, Cobzas, Dana, Jagersand, Martin, Jaremko, Jacob L.
2018
End-to-end detection-segmentation network with ROI convolution
End-to-end detection-segmentation network with ROI convolution
Zhang, Zichen, Tang, Min, Cobzas, Dana, Zonoobi, Dornoosh, Jagersand, Martin, Jaremko, Jacob L.
2018
Progressive iron accumulation across multiple sclerosis phenotypes revealed by sparse classification of deep gray matter
Progressive iron accumulation across multiple sclerosis phenotypes revealed by sparse classification of deep gray matter
Elkady, Ahmed M., Cobzas, Dana, Sun, Hongfu, Blevins, Gregg, Wilman, Alan H.
2017
Discriminative analysis of regional evolution of iron and myelin/calcium in deep gray matter of multiple sclerosis and healthy subjects
Discriminative analysis of regional evolution of iron and myelin/calcium in deep gray matter of multiple sclerosis and healthy subjects
Elkady, Ahmed M., Cobzas, Dana, Sun, Hongfu, Blevins, Gregg, Wilman, Alan H.
2018
Five year iron changes in relapsing-remitting multiple sclerosis deep gray matter compared to healthy controls
Five year iron changes in relapsing-remitting multiple sclerosis deep gray matter compared to healthy controls
Elkady, Ahmed M., Cobzas, Dana, Sun, Hongfu, Seres, Peter, Blevins, Gregg, Wilman, Alan H.
2019
Developmental hip dysplasia diagnosis at three-dimensional US: a multicenter study
Developmental hip dysplasia diagnosis at three-dimensional US: a multicenter study
Zonoobi, Dornoosh, Hareendranathan, Abhilash, Mostofi, Emanuel, Mabee, Myles, Pasha, Saba, Cobzas, Dana, Rao, Padma, Dulai, Sukhdeep K., Kapur, Jeevesh, Jaremko, Jacob L.
2018
Significant anatomy detection through sparse classification: a comparative study
Significant anatomy detection through sparse classification: a comparative study
Zhang, Li, Cobzas, Dana, Wilman, Alan H., Kong, Linglong
2018
A deep level set method for image segmentation
A deep level set method for image segmentation
Tang, Min, Valipour, Sepehr, Zhang, Zichen, Cobzas, Dana, Jagersand, Martin
2017
Creative, interdisciplinary undergraduate research: an educational cell biology video game designed by students for students
Creative, interdisciplinary undergraduate research: an educational cell biology video game designed by students for students
Sperano, Isabelle, Shaw, Ross, Andruchow, Robert, Cobzas, Dana, Efird, Cory, Brookwell, Brian, Deng, William
2020
Evaluation of automated computed tomography segmentation to assess body composition and mortality associations in cancer patients
Evaluation of automated computed tomography segmentation to assess body composition and mortality associations in cancer patients
Cespedes Feliciano, Elizabeth M., Popuri, Karteek, Cobzas, Dana, Baracos, Vickie E., Beg, Mirza Faisal, Khan, Arafat Dad, Ma, Cydney, Chow, Vincent, Chow, Vincent, Prado, Carla M., Xiao, Jingjie, Liu, Vincent, Chen, Wendy Y., Meyerhardt, Jeffrey, Albers, Kathleen B., Caan, Bette J.
2020