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Carla E Brodley

Showing results (1-10 of 8) with videos related to

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Artificial Intelligence in Medicine|August 9, 2015
Removing confounding factors via constraint-based clustering: An application to finding homogeneous groups of multiple sclerosis patientsJingjing Liu, Carla E Brodley, Brian C Healy, et al.
JAMA Otolaryngology-- Head & Neck Surgery|January 23, 2015
Clinical vestibular testing assessed with machine-learning algorithmsAdrian J Priesol, Mengfei Cao, Carla E Brodley, et al.
The Journal of Biological Chemistry|April 30, 2011
Single cell time-resolved quorum responses reveal dependence on cell density and configurationRagnhild D Whitaker, Steven Pember, Byron C Wallace, et al.
Plos One|April 6, 2017
Exploration of machine learning techniques in predicting multiple sclerosis disease courseYijun Zhao, Brian C Healy, Dalia Rotstein, et al.
Radiology|July 2, 2003
Automated storage and retrieval of thin-section CT images to assist diagnosis: system description and preliminary assessmentAlex M Aisen, Lynn S Broderick, Helen Winer-Muram, et al.
Epilepsy & Behavior : E&B|June 4, 2015
Cortical feature analysis and machine learning improves detection of "MRI-negative" focal cortical dysplasiaBilal Ahmed, Carla E Brodley, Karen E Blackmon, et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics|April 7, 2012
Toward modernizing the systematic review pipeline in genetics: efficient updating via data miningByron C Wallace, Kevin Small, Carla E Brodley, et al.
Nature|May 5, 2006
Computing: report leaps geographical barriers but stumbles over genderMartha E Pollack, Susanne E Hambrusch, Carla Schlatter Ellis, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Artificial Intelligence in Medicine|August 9, 2015
Removing confounding factors via constraint-based clustering: An application to finding homogeneous groups of multiple sclerosis patientsJingjing Liu, Carla E Brodley, Brian C Healy, et al.
JAMA Otolaryngology-- Head & Neck Surgery|January 23, 2015
Clinical vestibular testing assessed with machine-learning algorithmsAdrian J Priesol, Mengfei Cao, Carla E Brodley, et al.
The Journal of Biological Chemistry|April 30, 2011
Single cell time-resolved quorum responses reveal dependence on cell density and configurationRagnhild D Whitaker, Steven Pember, Byron C Wallace, et al.
Plos One|April 6, 2017
Exploration of machine learning techniques in predicting multiple sclerosis disease courseYijun Zhao, Brian C Healy, Dalia Rotstein, et al.
Radiology|July 2, 2003
Automated storage and retrieval of thin-section CT images to assist diagnosis: system description and preliminary assessmentAlex M Aisen, Lynn S Broderick, Helen Winer-Muram, et al.
Epilepsy & Behavior : E&B|June 4, 2015
Cortical feature analysis and machine learning improves detection of "MRI-negative" focal cortical dysplasiaBilal Ahmed, Carla E Brodley, Karen E Blackmon, et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics|April 7, 2012
Toward modernizing the systematic review pipeline in genetics: efficient updating via data miningByron C Wallace, Kevin Small, Carla E Brodley, et al.
Nature|May 5, 2006
Computing: report leaps geographical barriers but stumbles over genderMartha E Pollack, Susanne E Hambrusch, Carla Schlatter Ellis, et al.
Pageof 1