Publications

  1. Ranjbar S, Singleton KW, Jackson PR, Rickertsen CR, Whitmire SA, Clark-Swanson KR, Mitchell JR, Swanson KR, Hu LS. A Deep Convolutional Neural Network for Annotation of Magnetic Resonance Imaging Sequence Type. J Digit Imaging. 2020 Apr; 33 (2):439-446
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  2. Curigliano G, Lenihan D, Fradley M, Ganatra S, Barac A, Blaes A, Herrmann J, Porter C, Lyon AR, Lancellotti P, Patel A, DeCara J, Mitchell J, Harrison E, Moslehi J, Witteles R, Calabro MG, Orecchia R, de Azambuja E, Zamorano JL, Krone R, Iakobishvili Z, Carver J, Armenian S, Ky B, Cardinale D, Cipolla CM, Dent S, Jordan K, ESMO Guidelines Committee. Electronic address: clinicalguidelines@esmo.org. Management of cardiac disease in cancer patients throughout oncological treatment: ESMO consensus recommendations. Ann Oncol. 2020 Feb; 31 (2):171-190
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  3. Tirkes T, Mitchell JR, Li L, Zhao X, Lin C. Normal T1 relaxometry and extracellular volume of the pancreas in subjects with no pancreas disease: correlation with age and gender. Abdom Radiol (NY). 2019 Sep; 44 (9):3133-3138
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  4. 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 11; 9 (1):10063 Epub 2019 July 11
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  5. Ranjbar S, Velgos SN, Dueck AC, Geda YE, Mitchell JR, Alzheimer's Disease Neuroimaging Initiative. Brain MR Radiomics to Differentiate Cognitive Disorders. J Neuropsychiatry Clin Neurosci. 2019 Summer; 31 (3):210-219 Epub 2019 Jan 14
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  6. 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 Epub 2019 Feb 28
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  7. Tang A, Tam R, Cadrin-Chenevert 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 (CAR) Artificial Intelligence Working Group. Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology. Can Assoc Radiol J. 2018 May; 69 (2):120-135 Epub 2018 Apr 11
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  8. 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 Tomogr. 2018 Mar/Apr; 42 (2):299-305
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  9. 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 Epub 2017 Dec 05
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  10. 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 Epub 2017 June 08
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  11. 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. Epub 2017 Mar 02.
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  12. 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. Neuro Oncol. 2017 Jan; 19(1):128-137. Epub 2016 Aug 08.
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  13. 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):667-78 Epub 2015 Oct 13
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  14. Cheng CH, Pradhan PM, Mitchell JR. Incorporating approximate rotational invariance into two-dimensional s-transform. Iet Image Processing. 2015 Jul; 9(7):535-44.
  15. 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 Epub 2015 July 21
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  16. 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 27; 3 (2):e45
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  17. 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 Epub 2015 May 21
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  18. 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):166-70 Epub 2014 Sept 25
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  19. 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; 10 (11):e0141506 Epub 2015 Nov 24
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  20. Pradhan PM, Cheng CH, Mitchell JR. S-transform based approach for texture analysis of medical images. 2014 International Conference on High Performance Computing and Applications, ICHPCA 2014. 2015; 7045374.
  21. 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):824-32
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  22. Cheng CH, Pradhan PM, Mitchell JR. Approach for fast time-frequency analysis. Iet Signal Processing. 2014 Jun; 8(4):360-72.
  23. 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):168-74. Epub 2013 Oct 18
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  24. Nolan M, Mitchell JR, Doyle-Baker PK. Validity of the apple iPhone(R)/iPod Touch(R) as an accelerometer-based physical activity monitor: A proof-of-concept study. Journal of Physical Activity and Health. 2014; 11(4):759-69.
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  25. 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):480-7. Epub 2013 May 18.
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  26. Maia RS, Jacob C, Mitchell JR, Hara AK, Silva AC, Pavlicek W. Parallel multi-material decomposition of dual-energy CT data. Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems. 2013:465-8.
  27. 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; 13(2):e31. Epub 2011 May 06.
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  28. 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):849-54.
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  29. 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 15; 297(1-2):76-81. Epub 2010 Aug 12.
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  30. Bjarnason TA, Mitchell JR. AnalyzeNNLS: magnetic resonance multiexponential decay image analysis. J Magn Reson. 2010 Oct; 206(2):200-4. Epub 2010 Jul 16.
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  31. 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):615-9.
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  32. Roberts M, Packer J, Costa Sousa M, Mitchell JR. A work-efficient GPU algorithm for level set segmentation. High Performance Graphics. 2010 Jun.
  33. Drabycz S, Roldan 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 15; 49(2):1398-405. Epub 2009 Sep 28.
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  34. 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):212-7.
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  35. Drabycz S, Stockwell RG, Mitchell JR. Image texture characterization using the discrete orthonormal S-transform. J Digit Imaging. 2009 Dec; 22(6):696-708. Epub 2008 Aug 02.
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  36. 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 1; 47(1):107-11. Epub 2009 Apr 08.
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  37. 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 1; 45(4):1173-82. Epub 2009 Jan 21.
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  38. Ali T, Bjarnason TA, Simpson MA, Mitchell JR. A novel method to visualize quantitative T2 MRI data: qT2 view. IJCARS. 2009:S352-3.
  39. 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):837-46.
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  40. 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):185-91.
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  41. Drabycz S, Mitchell JR. Texture quantification of medical images using a novel complex space-frequency transform. The International Journal of Computer Assisted Radiology and Surgery. 2008.
  42. Penner E, Mitchell JR. Isosurface ambient occlusion and soft shadows with filterable occlusion maps. IEEE/EG Symposium on Volume and Point Based Graphics. 2008:57-64.
  43. Zhang Y, Zabad RK, Wei X, Metz LM, Hill MD, Mitchell JR. Deep grey matter "black T2" on 3 tesla magnetic resonance imaging correlates with disability in multiple sclerosis. Mult Scler. 2007 Aug; 13(7):880-3. Epub 2007 Apr 27.
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  44. 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):517-26. Epub 2007 Feb 09.
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  45. Chen HLJ, Samavati FF, Costa Sousa M, Mitchell JR. Illustrative display and interaction in visualization, an invited tutorial for IEEE Visualization 2007. IEEE Transactions on Visualization and Computer Graphics. 2007.
  46. Bjarnason TA, Drabycz S, Mitchell JR. Reduced memory requirements for the S-transform. Proc IEEE Canadian Conference on Electrical and Computer Engineering. 2007; 20:745-7.
  47. Drabycz S, Bjarnason TA, Mitchell JR. A new method to collapse the S-transform into local spectra by integrating in squares. Proc IEEE Canadian Conference on Electrical and Computer Engineering. 2007; 20:741-4.
  48. Mitchell JR, Chan S, Lemire P. Medical imaging learns from computer gaming. Biophotonics International. 2006 Jul:46-8.
  49. Mitchell JR. Foothills Medical Center: Acute care medical image processing with Mac OS X (case study). An invited White Paper published by Apple Computer Inc, Cupertino, CA. http://images.apple.com/science/pdf/FoothillsMedical_CS.pdf. 2006 Jul.
  50. 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; 9(Pt 1):760-7.
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  51. 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):1280-7.
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  52. Simon JE, Bristow MS, Lu H, Lauzon ML, Brown RA, Manjon JV, Eliasziw M, Frayne R, Buchan AM, Demchuk AM, Mitchell JR, Calgary Stroke Program. 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):1236-43.
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  53. 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):1188-97.
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  54. 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):205-12.
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  55. Brown RA, Zlatescu M, Cairncross JG, Mitchell JR. Texture analysis for non-invasive identification of brain tumor genotype from MRI, visualization, imaging and image processing. ACTA Press. 2005; 480(116):459-64.
  56. Drabycz S, Brown RA, Law AG, Mitchell JR. Maximum entropy deconvolution for dynamic susceptibility contrast magnetic resonance imaging, visualization, imaging and image processing. ACTA Press. 2005; 480(114):442-7.
  57. 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):563-71.
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  58. Field TS, Zhu H, Tarrant M, Mitchell JR, Hill MD. Relationship between supra-annual trends in influenza rates and stroke occurrence. Neuroepidemiology. 2004 Sep-Oct; 23(5):228-35.
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  59. 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):402-6.
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  60. 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.
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  61. 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):1526-34. Epub 2004 Apr 16.
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  62. 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.
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  63. Zhu H, Brown RA, Villanueva RJ, Villanueava-Oller J, Lauzon ML, Mitchell JR, Law AG. Progressive imaging: S-transform order. ANZIAM Journal. 2004; 45(E):C1002-16.
  64. Brown RA, Baeza I, Mitchell JR, Villanueva RJ, Zhu H, Villanueva-Oller J, Law AG. 3D MRI progressive imaging: data- and transform-space strategies. CCCT. 2004.
  65. 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):1199-208.
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  66. 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):1681-3. Epub 2003 Jun 12.
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  67. 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):1134-41.
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  68. Ferrari RJ, Wei X, Zhang Y, Scott JN, Mitchell JR. Segmentation of multiple sclerosis lesions using support vector machines. SPIE Med Imaging. 2003.
  69. 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):727-35.
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  70. Mitchell JR, Frayne R, Sutherland G. Medical physics research in the acute care setting. Physics in Canada. 2002 Mar/Apr:127-34.
  71. 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):1098-107.
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  72. 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):586-95.
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  73. Clarke S, Rutt B, Lucas A, Lownie S, Hammond R, Mitchell JR. Identification of atherosclerotic plaque components using cluster analysis of multispectral MR images: comparison with histology. SPIE Med Imaging. 2000.
  74. 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):1319-25.
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  75. Mitchell JR, Gareau P, Karlik S, Rutt B. A post-processing technique to suppress fluid signal and increase contrast in MR exams of MS patients. MICCAI. 1999 Oct.
  76. 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):241-6.
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  77. 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):161-4.
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  78. 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-Jun; 7(3):499-511.
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  79. 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.
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  80. 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):115-26.
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  81. Mitchell JR, Karlik S, Lee D, Eliasziw M, Rice G, Fenster A. Evaluating the impact on operator performance of quantification algorithms. SPIE Med Imaging Image Processing. 1996; 2710:524-33.
  82. 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-Apr; 4(2):197-208.
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  83. Mitchell JR, Karlik S, Lee D, Fenster A. Classification and analysis of multiple sclerosis lesions in spin-echo MR exams. SPIE Visualization in Biomedical Computing. 1994; 2359:362-72.
  84. Mitchell JR, Karlik SJ, Lee DH, Fenster A. Multi-spectral analysis and visualization of multiple sclerosis lesions in MR volumes of the brain. SPIE Med Imaging VII. 1993; 1898:442-52.
  85. Mitchell JR, Karlik SJ, Lee DH, Fenster A. Automated detection and quantification of multiple sclerosis lesions in MR volumes of the brain. SPIE Med Imaging VI. 1992; 1652:99.
  86. Shinozaki DM, Cheng PC, Haridoss S, Mitchell R, Fenster A. Three-dimensional optical microscopy of water trees in polyethylene. Journal of Materials Science. 1991; 26:6151-60.
  87. Picot P, Rickey D, Mitchell R, Rankin R, Fenster A. Three-dimensional colour doppler imaging of the carotid artery. SPIE Med Imaging V. 1991; 1444:206.
  88. Mitchell JR, Dickof P, Law A. A comparison of line integral algorithms. Computers in Physics. 1990 Mar/Apr; 4(2):166-72.