{"id":2987,"date":"2018-03-04T19:44:41","date_gmt":"2018-03-05T02:44:41","guid":{"rendered":"http:\/\/mathematicalneurooncology.org\/?page_id=2987"},"modified":"2019-09-27T14:23:21","modified_gmt":"2019-09-27T21:23:21","slug":"members-j-ross-mitchell","status":"publish","type":"page","link":"https:\/\/mathematicalneurooncology.org\/?page_id=2987","title":{"rendered":"Members: J. Ross Mitchell"},"content":{"rendered":"

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J. Ross Mitchell PhD.<\/strong><\/p>\n

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Bio:<\/strong><\/p>\n

Accomplished medical professional with 25-year history of success performing research and delivering innovative solutions in AI, Machine Learning, and Deep Learning of medical images for precision healthcare. H-index: 30 (95th percentile \u2013 Medical Informatics)<\/p>\n

Education & Credentials<\/strong>
\nScientific Leadership Course, 2008 \u2013 University of Calgary, Calgary, Alberta
\nPh.D. in Medical Biophysics, 1996 \u2013 University of Western Ontario, London, Ontario
\nMaster of Science in Computer Science, 1989 \u2013 University of Regina, Regina, Saskatchewan
\nBachelor of Science Honors in Computer Science, 1986 \u2013 University of Regina, Regina, Saskatchewan<\/p>\n

Career Experience<\/strong>
\nMAYO CLINIC COLLEGE OF MEDICINE, Scottsdale, Arizona
\nProfessor of Radiology, September 2011 to Present
\nCALGARY SCIENTIFIC, INC., Calgary, Alberta
\nCo-Founder and Founding Scientist, January 2004 to Present
\nUNIVERSITY OF CALGARY, Calgary, Alberta
\nProfessor of Radiology and Clinical Neurosciences, July 2000 to September 2011<\/p>\n

Select Awards<\/strong>
\n2015: US CITIZENSHIP & IMMIGRATION SERVICE
\nOutstanding Researcher (Accelerated Green Card) 2010: WIRELESS LIFE SCIENCES
\nTriple Tree I Award
\n2011: FROST & SULLIVAN
\nEnabling Technology Award 2006: BERLEX CANADA
\nResearch Award
\n2011: UNIVERSITY OF REGINA
\nAlumni Crowning Achievement Award 2000 – 2009: MS SOCIETY OF CANADA
\nDonald Party Career Development Award
\n2011: PRICEWATERHOUSECOOPERS
\nTop 5 Innovator 1998: INTERNATIONAL ORG. FOR MEDICAL PHYSICS
\nBest Paper Award
\n2010: FROST & SULLIVAN
\nBest Practices Award 1996: WESTERN UNIVERSITY
\nCollip Medal (Top PhD Graduate)<\/p>\n

Supervisory Experience
\n\u2022 11 Post-doctoral Fellows and Medical Residents
\n\u2022 29 Graduate Students (13 PhD and 16 MSc Students)
\n\u2022 18 Senior Undergraduate Projects
\n\u2022 20 Scientists and Technical Staff<\/p>\n

Select Peer Reviewed Publications (195 Total Publications)
\n1. Clarke SE, Hammond RR, Mitchell JR, Rutt BK, \u201cQuantitative Assessment of Carotid Plaque Composition Using Multicontrast MRI and Registered Histology,\u201d Magnetic Resonance in Medicine, 50 (6), 1199-1208, 2003. (Cited 179 Times)
\n2. Metz LM, Zhang Y, Yeung M, Patry DG, Bell RB, Stoian CA, Yong VW, Patten SB, Duquette D, Antel JP, Mitchell, JR, \u201cMinocycline Reduces Gadolinium-Enhancing Magnetic Resonance Imaging Lesions in Multiple Sclerosis,\u201d Annals of Neurology, 55 (5), 2004. (Cited 181 Times)
\n3. Gareau PJ, Rutt BK, Karlik SJ, Mitchell, JR, \u201cMagnetization Transfer and Multicomponent T2 Relaxation Measurements with Histopathologic Correlation in an Experimental Model of MS,\u201d Journal of Magnetic Resonance Imaging, 11 (6), 586-595, 2000. (Cited 168 Times)
\n4. Picot PA, Rickey DW, Mitchell JR, Rankin RN, Fenster A, \u201cThree-dimensional Colour Doppler Imaging,\u201d Ultrasound in Medicine and biology, 19 (2), 95-104. 1993. (Cited 150 Times)
\n5. Coutts SA, Simon JE, Tomanek AI, Barber PA, Chan J, Hudon ME, Mitchell JR, Frayne R, Eliasziw M, Buchan AM, Demchuk AM, \u201cReliability of Assessing Percentage of Diffusion-Perfusion Mismatch\u201d, Stroke, 34 (7), 1681-1683. 2003. (Cited 127 Times)
\n6. Mitchell JR, Karlik SJ, Lee DH, Fenster A, \u201cComputer-Assisted Identification and Quantification of Multiple Sclerosis Lesions in MR Imaging Volumes in the Brain,\u201d Journal of Magnetics Resonance Imaging, 4 (2), 197-208. 1994. (Cited 100 Times)
\n7. Drabycz S, Roldan G, de Robles P, Adler D, McIntyre JB, Magliocco AM, Cairncross JC, Mitchell JR, \u201cAn Analysis of Image Texture, Tumor Location and MGMT Promoter Methylation in Glioblastoma Using Magnetic Resonance Imaging\u201d, Neuroimage, 49, 1398-1405. 2010. (Cited 99 Times)
\nSelect Presentations
\n1. Mitchell JR, \u201cArtificial Intelligence in Healthcare,\u201d American Academy of Laboratory and Animal Sciences Annual Conference, Austin TX, Oct. 2017 (invited keynote address).
\n2. Mitchell JR, \u201cArtificial Intelligence, Machine Learning and Deep Learning in Healthcare,\u201d Canadian Organization of Medical Physics Winter School, Quebec Canada, Feb. 2017 (invited keynote address).
\n3. Mitchell JR, \u201cArtificial Intelligence in Healthcare\u201d, University of Toronto, Toronto Canada, Dec. 2016 (invited presentation)
\n4. Mitchell JR, \u201cCancer Imagenomics\u201d, Canadian Organization of Medical Physics Annual Conference, St. Johns Canada, July 2016 (invited presentation)
\n5. Mitchell JR, \u201cTexture Based Biomarkers (Using Examples from Alzheimer\u2019s Disease)\u201d, Workshop given at the Medical Image Computing and Computer Assisted Intervention Annual Conference, Munich Germany, Sep. 2015.
\n6. Mitchell JR, \u201cImage Segmentation\u201d, Predictive Vascular Modeling Workshop, Lawrence Livermore National Laboratory, Livermore CA, Apr. 2015 (invited presentation)
\n7. Mitchell JR, \u201cTranslating Medical Research to Clinical Care: Crossing the Valley of Death\u201d. Emory University, Atlanta GA, Feb. 2015 (invited presentation)<\/p>\n

Community Activities
\nSCOUTS CANADA
\nCub Scout Troup Leader, September 2007 \u2013 May 2010
\nProfessional Associations
\nRadiological Society of North America (RSNA)
\nInternational Society for Magnetic Resonance in Medicine (ISMRM)
\nMedical Image Computing and Computer Assisted Intervention (MICCAI) Society
\nSociety for Imaging Informatics in Medicine (SIIM)
\nCanadian Association of Radiologists AI Working Group<\/p>\n","protected":false},"excerpt":{"rendered":"

  J. Ross Mitchell PhD.         Bio: Accomplished medical professional with 25-year history of success performing research and delivering innovative solutions in AI, Machine Learning, and Deep Learning of medical images for precision healthcare. H-index: 30 (95th percentile \u2013 Medical Informatics) Education & Credentials Scientific Leadership Course, 2008 \u2013 University of Calgary, … <\/p>\n

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