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Michel Bilello

Showing results (11-20 of 66) with videos related to

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Magnetic Resonance Imaging|May 20, 2017
A level set method for multiple sclerosis lesion segmentationYue Zhao, Shuxu Guo, Min Luo, et al.
Academic Radiology|December 2, 2006
Identification, segmentation, and image property study of acute infarcts in diffusion-weighted images by using a probabilistic neural network and adaptive Gaussian mixture modelBhanu Prakash K N, Varsha Gupta, Michel Bilello, et al.
Neuroimage|June 26, 2013
Direct visualization of short transverse relaxation time component (ViSTa)Se-Hong Oh, Michel Bilello, Matthew Schindler, et al.
Medical Physics|October 19, 2004
Automatic detection and classification of hypodense hepatic lesions on contrast-enhanced venous-phase CTMichel Bilello, Salih Burak Gokturk, Terry Desser, et al.
Brainlesion : Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Brainles (Workshop)|July 2, 2019
Patient-Specific Registration of Pre-operative and Post-recurrence Brain Tumor MRI ScansXu Han, Spyridon Bakas, Roland Kwitt, et al.
IEEE Transactions on Medical Imaging|August 22, 2012
GLISTR: glioma image segmentation and registrationAli Gooya, Kilian M Pohl, Michel Bilello, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|August 12, 2021
A Deep Network for Joint Registration and Reconstruction of Images with PathologiesXu Han, Zhengyang Shen, Zhenlin Xu, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 14, 2018
Radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma: implications for personalized radiotherapy planningSaima Rathore, Hamed Akbari, Jimit Doshi, et al.
The Annals of Thoracic Surgery|September 28, 2010
Sex, aging, and preexisting cerebral ischemic disease in patients with aortic stenosisPing Wang, Michael A Acker, Michel Bilello, et al.
Radiology|June 24, 2014
Pattern analysis of dynamic susceptibility contrast-enhanced MR imaging demonstrates peritumoral tissue heterogeneityHamed Akbari, Luke Macyszyn, Xiao Da, et al.
Pageof 7

Showing results (11-20 of 66) with videos related to

Sort By:
Pageof 7
Magnetic Resonance Imaging|May 20, 2017
A level set method for multiple sclerosis lesion segmentationYue Zhao, Shuxu Guo, Min Luo, et al.
Academic Radiology|December 2, 2006
Identification, segmentation, and image property study of acute infarcts in diffusion-weighted images by using a probabilistic neural network and adaptive Gaussian mixture modelBhanu Prakash K N, Varsha Gupta, Michel Bilello, et al.
Neuroimage|June 26, 2013
Direct visualization of short transverse relaxation time component (ViSTa)Se-Hong Oh, Michel Bilello, Matthew Schindler, et al.
Medical Physics|October 19, 2004
Automatic detection and classification of hypodense hepatic lesions on contrast-enhanced venous-phase CTMichel Bilello, Salih Burak Gokturk, Terry Desser, et al.
Brainlesion : Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Brainles (Workshop)|July 2, 2019
Patient-Specific Registration of Pre-operative and Post-recurrence Brain Tumor MRI ScansXu Han, Spyridon Bakas, Roland Kwitt, et al.
IEEE Transactions on Medical Imaging|August 22, 2012
GLISTR: glioma image segmentation and registrationAli Gooya, Kilian M Pohl, Michel Bilello, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|August 12, 2021
A Deep Network for Joint Registration and Reconstruction of Images with PathologiesXu Han, Zhengyang Shen, Zhenlin Xu, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 14, 2018
Radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma: implications for personalized radiotherapy planningSaima Rathore, Hamed Akbari, Jimit Doshi, et al.
The Annals of Thoracic Surgery|September 28, 2010
Sex, aging, and preexisting cerebral ischemic disease in patients with aortic stenosisPing Wang, Michael A Acker, Michel Bilello, et al.
Radiology|June 24, 2014
Pattern analysis of dynamic susceptibility contrast-enhanced MR imaging demonstrates peritumoral tissue heterogeneityHamed Akbari, Luke Macyszyn, Xiao Da, et al.
Pageof 7