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Joseph R. Mitchell, PhD

Academic Rank: Senior Member

Overview

Dr. J. Ross Mitchell is Moffitt’s Artificial Intelligence Officer and a Senior Member of the research faculty in the Department of Biostatistics and Bioinformatics. 


Discipline

Education & Training

Fellowship:

  • University of Western Ontario, PhD - Medical Biophysics
  • University of Regina, MSc - Computer Science
Research

Dr. Mitchell completed his Bachelors and Masters training in Computer Science at the University of Regina and obtained his PhD in Medical Biophysics from the University of Western Ontario. Prior to joining Moffitt, at the Mayo Clinic in Scottsdale, Arizona, he led multiple medical imaging informatics initiatives, including the application of machine learning to brain tumor imaging. In his role as Artificial Intelligence Officer, Dr. Mitchell drives the development of digital tools and technologies that leverage artificial intelligence (AI) to improve the efficiency and/or quality of cancer care delivery at Moffitt. He is responsible for identifying clinical and business use cases for predictive analytics using machine learning and other advanced technologies, overseeing the development of algorithms, and partnering with clinical, business and technology leaders to deploy AI-enabled tools around the Center. As a faculty member in the Department of Biostatistics and Bioinformatics, he also collaborates with research faculty on a broad variety of project-specific research applications of AI. 

Publications

  • Hu LS, Yoon H, Eschbacher JM, Baxter LC, Dueck AC, Nespodzany A, Smith KA, Nakaji P, Xu Y, Wang L, Karis JP, Hawkins-Daarud AJ, Singleton KW, Jackson PR, Anderies BJ, Bendok BR, Zimmerman RS, Quarles C, Porter-Umphrey AB, Mrugala MM, Sharma A, Hoxworth JM, Sattur MG, Sanai N, Koulemberis PE, Krishna C, Mitchell JR, Wu T, Tran NL, Swanson KR, Li J. Accurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer Learning. Ajnr Am J Neuroradiol. 2019 Mar;40(3):418-425. Pubmedid: 30819771. Pmcid: PMC6474354.
  • Gaw N, Hawkins-Daarud A, Hu LS, Yoon H, Wang L, Xu Y, Jackson PR, Singleton KW, Baxter LC, Eschbacher J, Gonzales A, Nespodzany A, Smith K, Nakaji P, Mitchell JR, Wu T, Swanson KR, Li J. Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI. Sci Rep. 2019 Jul;9(1):10063. Pubmedid: 31296889. Pmcid: PMC6624304.
  • Ranjbar S, Velgos SN, Dueck AC, Geda YE, Mitchell JR. Brain MR Radiomics to Differentiate Cognitive Disorders. J Neuropsych Clin N. 2019 Jan;31(3):210-219. Pubmedid: 30636564. Pmcid: PMC6626704.
  • Tang A, Tam R, Cadrin-Chênevert A, Guest W, Chong J, Barfett J, Chepelev L, Cairns R, Mitchell JR, Cicero MD, Poudrette MG, Jaremko JL, Reinhold C, Gallix B, Gray B, Geis R. Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology. Can Assoc Radiol J. 2018 May;69(2):120-135. Pubmedid: 29655580.
  • Ranjbar S, Ning S, Zwart CM, Wood CP, Weindling SM, Wu T, Mitchell JR, Li J, Hoxworth JM. Computed Tomography-Based Texture Analysis to Determine Human Papillomavirus Status of Oropharyngeal Squamous Cell Carcinoma. J Comput Assist Tomo. 2018 Mar;42(2):299-305. Pubmedid: 29189396.
  • Patel BK, Ranjbar S, Wu T, Pockaj BA, Li J, Zhang N, Lobbes M, Zhang B, Mitchell JR. Computer-aided diagnosis of contrast-enhanced spectral mammography: A feasibility study. Eur J Radiol. 2018 Jan;98:207-213. Pubmedid: 29279165.
  • Ramkumar S, Ranjbar S, Ning S, Lal D, Zwart CM, Wood CP, Weindling SM, Wu T, Mitchell JR, Li J, Hoxworth JM. MRI-Based Texture Analysis to Differentiate Sinonasal Squamous Cell Carcinoma from Inverted Papilloma. Ajnr Am J Neuroradiol. 2017 May;38(5):1019-1025. Pubmedid: 28255033.
  • Hu LS, Ning S, Eschbacher JM, Baxter LC, Gaw N, Ranjbar S, Plasencia J, Dueck AC, Peng S, Smith KA, Nakaji P, Karis JP, Quarles CC, Wu T, Loftus JC, Jenkins RB, Sicotte H, Kollmeyer TM, O'Neill BP, Elmquist W, Hoxworth JM, Frakes D, Sarkaria J, Swanson KR, Tran NL, Li J, Mitchell JR. Radiogenomics to characterize regional genetic heterogeneity in glioblastoma. Neurooncol. 2017 Jan;19(1):128-137. Pubmedid: 27502248. Pmcid: PMC5193022.
  • Xue W, Vegunta S, Zwart CM, Aguilar MI, Patel AC, Hoxworth JM, Demaerschalk BM, Mitchell JR. Retrospective Validation of a Computer-Assisted Quantification Model of Intracerebral Hemorrhage Volume on Accuracy, Precision, and Acquisition Time, Compared with Standard ABC/2 Manual Volume Calculation. Ajnr Am J Neuroradiol. 2017 Aug;38(8):1536-1542. Pubmedid: 28596188.
  • Maia RS, Jacob C, Hara AK, Silva AC, Pavlicek W, Mitchell JR. Adaptive noise correction of dual-energy computed tomography images. Int J Comput Assist Radiol Surg. 2016 Apr;11(4):667-678. Pubmedid: 26463839.
  • Hu LS, Ning S, Eschbacher JM, Gaw N, Dueck AC, Smith KA, Nakaji P, Plasencia J, Ranjbar S, Price SJ, Tran N, Loftus J, Jenkins R, O'Neill BP, Elmquist W, Baxter LC, Gao F, Frakes D, Karis JP, Zwart C, Swanson KR, Sarkaria J, Wu T, Mitchell JR, Li J. Multi-Parametric MRI and Texture Analysis to Visualize Spatial Histologic Heterogeneity and Tumor Extent in Glioblastoma. PLoS One. 2015 Nov;10(11):e0141506. Pubmedid: 26599106. Pmcid: PMC4658019.
  • Zwart CM, He M, Wu T, Demaerschalk BM, Mitchell JR, Hara AK. Selection and pilot implementation of a mobile image viewer: a case study. JMIR Mhealth Uhealth. 2015 May;3(2):e45. Pubmedid: 26018587. Pmcid: PMC4463772.
  • Ali TS, Bjarnason TA, Senger DL, Dunn JF, Joseph JT, Mitchell JR. QuantitativeT2: interactive quantitative T2 MRI witnessed in mouse glioblastoma. J Med Imaging (Bellingham). 2015 Jul;2(3):036002. Pubmedid: 26213695. Pmcid: PMC4509667.
  • Maia RS, Jacob C, Hara AK, Silva AC, Pavlicek W, Ross MJ. An algorithm for noise correction of dual-energy computed tomography material density images. Int J Comput Assist Radiol Surg. 2015 Jan;10(1):87-100. Pubmedid: 24817129.
  • Dang M, Lysack JT, Wu T, Matthews TW, Chandarana SP, Brockton NT, Bose P, Bansal G, Cheng H, Mitchell JR, Dort JC. MRI texture analysis predicts p53 status in head and neck squamous cell carcinoma. Ajnr Am J Neuroradiol. 2015 Jan;36(1):166-170. Pubmedid: 25258367.
  • Cheng CH, Pradhan PM, Mitchell JR. Texture analysis of images using a two-dimensional fast time-frequency transform. J Med Imaging (Bellingham). 2015 Apr;2(2):024504. Pubmedid: 26158108. Pmcid: PMC4478998.
  • Nolan M, Mitchell JR, Doyle-Baker PK. Validity of the Apple iPhone® /iPod Touch® as an accelerometer-based physical activity monitor: a proof-of-concept study. J Phys Act Health. 2014 May;11(4):759-769. Pubmedid: 23575387.
  • Zhang Y, Wells J, Buist R, Peeling J, Yong VW, Mitchell JR. Active inflammation increases the heterogeneity of MRI texture in mice with relapsing experimental allergic encephalomyelitis. Magn Reson Imaging. 2014 Feb;32(2):168-174. Pubmedid: 24246391.
  • Oldan J, He M, Wu T, Silva AC, Li J, Mitchell JR, Pavlicek WM, Roarke MC, Hara AK. Pilot study: Evaluation of dual-energy computed tomography measurement strategies for positron emission tomography correlation in pancreatic adenocarcinoma. J Digit Imaging. 2014 Dec;27(6):824-832. Pubmedid: 24994547. Pmcid: PMC4391069.
  • Dang M, Modi J, Roberts M, Chan C, Mitchell JR. Validation study of a fast, accurate, and precise brain tumor volume measurement. Comput Methods Programs Biomed. 2013 Aug;111(2):480-487. Pubmedid: 23693135.
  • Mitchell JR, Sharma P, Modi J, Simpson M, Thomas M, Hill MD, Goyal M. A smartphone client-server teleradiology system for primary diagnosis of acute stroke. J Med Internet Res. 2011 May;13(2):e31. Pubmedid: 21550961. Pmcid: PMC3221380.
  • Brown LN, Zhang Y, Mitchell JR, Zabad R, Metz LM. Corpus callosum volume and interhemispheric transfer in multiple sclerosis. Can J Neurol Sci. 2010 Sep;37(5):615-619. Pubmedid: 21059507.
  • Zhang Y, Metz LM, Yong VW, Mitchell JR. 3T deep gray matter T2 hypointensity correlates with disability over time in stable relapsing-remitting multiple sclerosis: a 3-year pilot study. J Neurol Sci. 2010 Oct;297(1-2):76-81. Pubmedid: 20708201.
  • Bjarnason TA, Mitchell JR. AnalyzeNNLS: magnetic resonance multiexponential decay image analysis. J Magn Reson. 2010 Oct;206(2):200-204. Pubmedid: 20688549.
  • Modi J, Sharma P, Earl A, Simpson M, Mitchell JR, Goyal M. iPhone-based teleradiology for the diagnosis of acute cervico-dorsal spine trauma. Can J Neurol Sci. 2010 Nov;37(6):849-854. Pubmedid: 21059550.
  • Drabycz S, Roldán G, de Robles P, Adler D, McIntyre JB, Magliocco AM, Cairncross JG, Mitchell JR. An analysis of image texture, tumor location, and MGMT promoter methylation in glioblastoma using magnetic resonance imaging. Neuroimage. 2010 Jan;49(2):1398-1405. Pubmedid: 19796694.
  • Bjarnason TA, McCreary CR, Dunn JF, Mitchell JR. Quantitative T2 analysis: the effects of noise, regularization, and multivoxel approaches. Magn Reson Med. 2010 Jan;63(1):212-217. Pubmedid: 20027599.
  • McCreary CR, Bjarnason TA, Skihar V, Mitchell JR, Yong VW, Dunn JF. Multiexponential T2 and magnetization transfer MRI of demyelination and remyelination in murine spinal cord. Neuroimage. 2009 May;45(4):1173-1182. Pubmedid: 19349232. Pmcid: PMC2669308.
  • Drabycz S, Stockwell RG, Mitchell JR. Image texture characterization using the discrete orthonormal S-transform. J Digit Imaging. 2009 Dec;22(6):696-708. Pubmedid: 18677534. Pmcid: PMC2782119.
  • Levner I, Drabycz S, Roldan G, De Robles P, Cairncross JG, Mitchell R. Predicting MGMT methylation status of glioblastomas from MRI texture. Med Image Comput Comput Assist Interv. 2009 Dec;12(Pt 2):522-530. Pubmedid: 20426152.
  • Zhang Y, Zhu H, Mitchell JR, Costello F, Metz LM. T2 MRI texture analysis is a sensitive measure of tissue injury and recovery resulting from acute inflammatory lesions in multiple sclerosis. Neuroimage. 2009 Aug;47(1):107-111. Pubmedid: 19361563.
  • Bristow MS, Poulin BW, Simon JE, Hill MD, Kosior JC, Coutts SB, Frayne R, Mitchell JR, Demchuk AM. Identifying lesion growth with MR imaging in acute ischemic stroke. J Magn Reson Imaging. 2008 Oct;28(4):837-846. Pubmedid: 18821625.
  • Zhang Y, Metz LM, Yong VW, Bell RB, Yeung M, Patry DG, Mitchell JR. Pilot study of minocycline in relapsing-remitting multiple sclerosis. Can J Neurol Sci. 2008 May;35(2):185-191. Pubmedid: 18574932.
  • Brown R, Zlatescu M, Sijben A, Roldan G, Easaw J, Forsyth P, Parney I, Sevick R, Yan E, Demetrick D, Schiff D, Cairncross G, Mitchell R. The use of magnetic resonance imaging to noninvasively detect genetic signatures in oligodendroglioma. Clin Cancer Res. 2008 Apr;14(8):2357-2362. Pubmedid: 18413825.
  • Zabad RK, Metz LM, Todoruk TR, Zhang Y, Mitchell JR, Yeung M, Patry DG, Bell RB, Yong VW. The clinical response to minocycline in multiple sclerosis is accompanied by beneficial immune changes: a pilot study. Mult Scler. 2007 May;13(4):517-526. Pubmedid: 17463074.
  • Zhang Y, Zabad R, Wei X, Metz L, Hill M, Mitchell J. Deep grey matter "black T2" on 3 tesla magnetic resonance imaging correlates with disability in multiple sclerosis. Mult Scler. 2007 Aug;13(7):880-883. Pubmedid: 17468444.
  • Zhang Y, Wells J, Buist R, Peeling J, Yong VW, Mitchell JR. A novel MRI texture analysis of demyelination and inflammation in relapsing-remitting experimental allergic encephalomyelitis. Med Image Comput Comput Assist Interv. 2006 Dec;9(Pt 1):760-767. Pubmedid: 17354959.
  • Simon JE, Bristow MS, Lu H, Lauzon ML, Brown RA, Manjón JV, Eliasziw M, Frayne R, Buchan AM, Demchuk AM, Mitchell JR. A novel method to derive separate gray and white matter cerebral blood flow measures from MR imaging of acute ischemic stroke patients. J Cereb Blood Flow Metab. 2005 Sep;25(9):1236-1243. Pubmedid: 15889045.
  • Bristow MS, Simon JE, Brown RA, Eliasziw M, Hill MD, Coutts SB, Frayne R, Demchuk AM, Mitchell JR. MR perfusion and diffusion in acute ischemic stroke: human gray and white matter have different thresholds for infarction. J Cereb Blood Flow Metab. 2005 Oct;25(10):1280-1287. Pubmedid: 15889043.
  • Erskine MK, Cook LL, Riddle KE, Mitchell JR, Karlik SJ. Resolution-dependent estimates of multiple sclerosis lesion loads. Can J Neurol Sci. 2005 May;32(2):205-212. Pubmedid: 16018156.
  • Brown RA, Zhu H, Mitchell JR. Distributed vector processing of a new local multiscale Fourier transform for medical imaging applications. Ieee T Med Imaging. 2005 May;24(5):689-691. Pubmedid: 15889555.
  • Khosravani H, Pinnegar CR, Mitchell JR, Bardakjian BL, Federico P, Carlen PL. Increased high-frequency oscillations precede in vitro low-Mg seizures. Epilepsia. 2005 Aug;46(8):1188-1197. Pubmedid: 16060927.
  • Mitchell BF, Mitchell JM, Chowdhury J, Tougas M, Engelen SM, Senff N, Heijnen I, Moore JT, Goodwin B, Wong S, Davidge ST. Metabolites of progesterone and the pregnane X receptor: a novel pathway regulating uterine contractility in pregnancy?. Am J Obstet Gynecol. 2005 Apr;192(4):1304-1313. Pubmedid: 15846226.
  • Field TS, Zhu H, Tarrant M, Mitchell JR, Hill MD. Relationship between supra-annual trends in influenza rates and stroke occurrence. Neuroepidemiology. 2004 Sep;23(5):228-235. Pubmedid: 15316249.
  • Cook LL, Foster PJ, Mitchell JR, Karlik SJ. In vivo 4.0-T magnetic resonance investigation of spinal cord inflammation, demyelination, and axonal damage in chronic-progressive experimental allergic encephalomyelitis. J Magn Reson Imaging. 2004 Oct;20(4):563-571. Pubmedid: 15390226.
  • Metz LM, Zhang Y, Yeung M, Patry DG, Bell RB, Stoian CA, Yong VW, Patten SB, Duquette P, Antel JP, Mitchell JR. Minocycline reduces gadolinium-enhancing magnetic resonance imaging lesions in multiple sclerosis. Ann Neurol. 2004 May;55(5):756. Pubmedid: 15122721.
  • Archibald CJ, Wei X, Scott JN, Wallace CJ, Zhang Y, Metz LM, Mitchell JR. Posterior fossa lesion volume and slowed information processing in multiple sclerosis. Brain. 2004 Jul;127(Pt 7):1526-1534. Pubmedid: 15090476.
  • Goodyear BG, Zhu H, Brown RA, Mitchell JR. Removal of phase artifacts from fMRI data using a Stockwell transform filter improves brain activity detection. Magn Reson Med. 2004 Jan;51(1):16-21. Pubmedid: 14705040.
  • Wei X, Guttmann CR, Warfield SK, Eliasziw M, Mitchell JR. Has your patient's multiple sclerosis lesion burden or brain atrophy actually changed?. Mult Scler. 2004 Aug;10(4):402-406. Pubmedid: 15327037.
  • Harris AD, Pereira RS, Mitchell JR, Hill MD, Sevick RJ, Frayne R. A comparison of images generated from diffusion-weighted and diffusion-tensor imaging data in hyper-acute stroke. J Magn Reson Imaging. 2004 Aug;20(2):193-200. Pubmedid: 15269943.
  • Zhu H, Goodyear BG, Lauzon ML, Brown RA, Mayer GS, Law AG, Mansinha L, Mitchell JR. A new local multiscale Fourier analysis for medical imaging. Med Phys. 2003 Jun;30(6):1134-1141. Pubmedid: 12852538.
  • Coutts SB, Simon JE, Tomanek AI, Barber PA, Chan J, Hudon ME, Mitchell JR, Frayne R, Eliasziw M, Buchan AM, Demchuk AM. Reliability of assessing percentage of diffusion-perfusion mismatch. Stroke. 2003 Jul;34(7):1681-1683. Pubmedid: 12805485.
  • Clarke SE, Hammond RR, Mitchell JR, Rutt BK. Quantitative assessment of carotid plaque composition using multicontrast MRI and registered histology. Magn Reson Med. 2003 Dec;50(6):1199-1208. Pubmedid: 14648567.
  • Mitchell JR, Rutt BK. Improved contrast in multispectral phase images derived from magnetic resonance exams of multiple sclerosis patients. Med Phys. 2002 May;29(5):727-735. Pubmedid: 12033569.
  • Ladak HM, Thomas JB, Mitchell JR, Rutt BK, Steinman DA. A semi-automatic technique for measurement of arterial wall from black blood MRI. Med Phys. 2001 Jun;28(6):1098-1107. Pubmedid: 11439479.
  • Gareau PJ, Rutt BK, Karlik SJ, Mitchell JR. Magnetization transfer and multicomponent T2 relaxation measurements with histopathologic correlation in an experimental model of MS. J Magn Reson Imaging. 2000 Jun;11(6):586-595. Pubmedid: 10862056.
  • Gareau PJ, Rutt BK, Bowen CV, Karlik SJ, Mitchell JR. In vivo measurements of multi-component T2 relaxation behaviour in guinea pig brain. Magn Reson Imaging. 1999 Nov;17(9):1319-1325. Pubmedid: 10576717.
  • Gareau PJ, Gati JS, Menon RS, Lee D, Rice G, Mitchell JR, Mandelfino P, Karlik SJ. Reduced visual evoked responses in multiple sclerosis patients with optic neuritis: comparison of functional magnetic resonance imaging and visual evoked potentials. Mult Scler. 1999 Jun;5(3):161-164. Pubmedid: 10408715.
  • Schmidt MH, Mitchell JR, Downey DB. Sonographic surveillance of abdominal aortic aneurysms: what is the smallest change in measured diameter that reliably reflects aneurysm growth?. Can Assoc Radiol J. 1999 Aug;50(4):241-246. Pubmedid: 10459310.
  • Mitchell JR, Jones C, Karlik SJ, Kennedy K, Lee DH, Rutt B, Fenster A. MR multispectral analysis of multiple sclerosis lesions. J Magn Reson Imaging. 1997 May;7(3):499-511. Pubmedid: 9170034.
  • Mitchell JR, Karlik SJ, Lee DH, Eliasziw M, Rice GP, Fenster A. Quantification of multiple sclerosis lesion volumes in 1.5 and 0.5 T anisotropically filtered and unfiltered MR exams. Med Phys. 1996 Jan;23(1):115-126. Pubmedid: 8700022.
  • Mitchell JR, Karlik SJ, Lee DH, Eliasziw M, Rice GP, Fenster A. The variability of manual and computer assisted quantification of multiple sclerosis lesion volumes. Med Phys. 1996 Jan;23(1):85-97. Pubmedid: 8700036.
  • Mitchell JR, Karlik SJ, Lee DH, Fenster A. Computer-assisted identification and quantification of multiple sclerosis lesions in MR imaging volumes in the brain. J Magn Reson Imaging. 1994 Mar;4(2):197-208. Pubmedid: 8180461.
  • Picot PA, Rickey DW, Mitchell R, Rankin RN, Fenster A. Three-dimensional colour Doppler imaging. Ultrasound Med Biol. 1993 Jul;19(2):95-104. Pubmedid: 8516963.