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J Ross Mitchell

Showing results (31-40 of 40) with videos related to

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Journal of Magnetic Resonance Imaging : JMRI|September 30, 2008
Identifying lesion growth with MR imaging in acute ischemic strokeMichael S Bristow, Brett W Poulin, Jessica E Simon, et al.
Journal of Digital Imaging|October 27, 2019
A Deep Convolutional Neural Network for Annotation of Magnetic Resonance Imaging Sequence TypeSara Ranjbar, Kyle W Singleton, Pamela R Jackson, et al.
Stroke|June 14, 2003
Reliability of assessing percentage of diffusion-perfusion mismatchShelagh B Coutts, Jessica E Simon, Anna I Tomanek, et al.
Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|May 13, 2005
A novel method to derive separate gray and white matter cerebral blood flow measures from MR imaging of acute ischemic stroke patientsJessica E Simon, Michael S Bristow, Hong Lu, et al.
Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes|April 16, 2018
Canadian Association of Radiologists White Paper on Artificial Intelligence in RadiologyAn Tang, Roger Tam, Alexandre Cadrin-Chênevert, et al.
NPJ Digital Medicine|April 15, 2025
Network analysis of extraintestinal manifestations and associated autoimmune disorders in Crohn's disease and ulcerative colitisDaniel C Baumgart, C Hing Cheng, Tian X Du, et al.
Scientific Reports|July 13, 2019
Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRINathan Gaw, Andrea Hawkins-Daarud, Leland S Hu, et al.
Plos One|November 25, 2015
Multi-Parametric MRI and Texture Analysis to Visualize Spatial Histologic Heterogeneity and Tumor Extent in GlioblastomaLeland S Hu, Shuluo Ning, Jennifer M Eschbacher, et al.
Neuro-Oncology|August 10, 2016
Radiogenomics to characterize regional genetic heterogeneity in glioblastomaLeland S Hu, Shuluo Ning, Jennifer M Eschbacher, et al.
Nature Communications|December 5, 2022
Federated learning enables big data for rare cancer boundary detectionSarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Pageof 4

Showing results (31-40 of 40) with videos related to

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 40 results.
Journal of Magnetic Resonance Imaging : JMRI|September 30, 2008
Identifying lesion growth with MR imaging in acute ischemic strokeMichael S Bristow, Brett W Poulin, Jessica E Simon, et al.
Journal of Digital Imaging|October 27, 2019
A Deep Convolutional Neural Network for Annotation of Magnetic Resonance Imaging Sequence TypeSara Ranjbar, Kyle W Singleton, Pamela R Jackson, et al.
Stroke|June 14, 2003
Reliability of assessing percentage of diffusion-perfusion mismatchShelagh B Coutts, Jessica E Simon, Anna I Tomanek, et al.
Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|May 13, 2005
A novel method to derive separate gray and white matter cerebral blood flow measures from MR imaging of acute ischemic stroke patientsJessica E Simon, Michael S Bristow, Hong Lu, et al.
Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes|April 16, 2018
Canadian Association of Radiologists White Paper on Artificial Intelligence in RadiologyAn Tang, Roger Tam, Alexandre Cadrin-Chênevert, et al.
NPJ Digital Medicine|April 15, 2025
Network analysis of extraintestinal manifestations and associated autoimmune disorders in Crohn's disease and ulcerative colitisDaniel C Baumgart, C Hing Cheng, Tian X Du, et al.
Scientific Reports|July 13, 2019
Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRINathan Gaw, Andrea Hawkins-Daarud, Leland S Hu, et al.
Plos One|November 25, 2015
Multi-Parametric MRI and Texture Analysis to Visualize Spatial Histologic Heterogeneity and Tumor Extent in GlioblastomaLeland S Hu, Shuluo Ning, Jennifer M Eschbacher, et al.
Neuro-Oncology|August 10, 2016
Radiogenomics to characterize regional genetic heterogeneity in glioblastomaLeland S Hu, Shuluo Ning, Jennifer M Eschbacher, et al.
Nature Communications|December 5, 2022
Federated learning enables big data for rare cancer boundary detectionSarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Pageof 4