J. R. Mitchell

发表

The variability of manual and computer assisted quantification of multiple sclerosis lesion volumes.

A. Fenster, M. Eliasziw, J. R. Mitchell, 1996, Medical physics.

Computer‐assisted identification and quantification of multiple sclerosis lesions in MR imaging volumes in the brain

A. Fenster, J. R. Mitchell, S. Karlik, 1994, Journal of magnetic resonance imaging : JMRI.

Has your patient's multiple sclerosis lesion burden or brain atrophy actually changed?

Xingchang Wei, C. Guttmann, M. Eliasziw, 2004, Multiple sclerosis.

Radiogenomics to characterize regional genetic heterogeneity in glioblastoma

Leland S. Hu, J. Sarkaria, B. O'neill, 2016, Neuro-oncology.

Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology

Jaron J. R. Chong, J. Jaremko, Alexandre Cadrin-Chênevert, 2018, Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes.

Quantitative T2 analysis: The effects of noise, regularization, and multivoxel approaches

J. R. Mitchell, J. Dunn, C. McCreary, 2009, Magnetic resonance in medicine.

An Introduction to Radiomics: An Evolving Cornerstone of Precision Medicine

J. R. Mitchell, S. Ranjbar, 2017 .

Computer-aided diagnosis of contrast-enhanced spectral mammography: A feasibility study.

Teresa Wu, Barbara A Pockaj, Nan Zhang, 2018, European journal of radiology.

Deep grey matter `black T2` on 3 tesla magnetic resonance imaging correlates with disability in multiple sclerosis

J. R. Mitchell, X. Wei, L. Metz, 2007, Multiple sclerosis.

MR multispectral analysis of multiple sclerosis lesions

A Fenster, B Rutt, Craig K. Jones, 1997, Journal of magnetic resonance imaging : JMRI.

A semi-automatic technique for measurement of arterial wall from black blood MRI.

D A Steinman, B K Rutt, H M Ladak, 2001, Medical physics.

Multi-Parametric MRI and Texture Analysis to Visualize Spatial Histologic Heterogeneity and Tumor Extent in Glioblastoma

Teresa Wu, David Frakes, Leland S. Hu, 2015, PloS one.

Magnetization transfer and multicomponent T2 relaxation measurements with histopathologic correlation in an experimental model of MS

B K Rutt, B. Rutt, J. R. Mitchell, 2000, Journal of magnetic resonance imaging : JMRI.

A Smartphone Client-Server Teleradiology System for Primary Diagnosis of Acute Stroke

J. R. Mitchell, M. Hill, M. Goyal, 2011, Journal of medical Internet research.

Computed Tomography-Based Texture Analysis to Determine Human Papillomavirus Status of Oropharyngeal Squamous Cell Carcinoma

Teresa Wu, J. R. Mitchell, C. Wood, 2017, Journal of computer assisted tomography.

A Novel Method to Derive Separate Gray and White Matter Cerebral Blood Flow Measures from MR Imaging of Acute Ischemic Stroke Patients

M. L. Lauzon, A. Demchuk, A. Buchan, 2005, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

Weakly Supervised Skull Stripping of Magnetic Resonance Imaging of Brain Tumor Patients

Leland S. Hu, Lisa E. Paulson, J. R. Mitchell, 2022, Frontiers in Neuroimaging.

Maximum entropy deconvolution for dynamic susceptibility contrast magnetic resonance imaging

Sylvia Drabycz, J. R. Mitchell, S. Drabycz, 2005 .

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

J. R. Mitchell, C. Zwart, J. Hoxworth, 2017, American Journal of Neuroradiology.

Pilot Study: Two-Stage Hybrid Model to Correlate Single Energy CT and PET in Pancreatic Adenocarcinoma

Teresa Wu, Alvin C. Silva, A. Hara, 2014 .

Biomedical texture analysis : fundamentals, tools and challenges

Omar S. Al-Kadi, Adrien Depeursinge, J Ross Mitchell, 2017 .

Active inflammation increases the heterogeneity of MRI texture in mice with relapsing experimental allergic encephalomyelitis.

R. Buist, J. R. Mitchell, V. Yong, 2014, Magnetic resonance imaging.

Relationship between Supra-Annual Trends in Influenza Rates and Stroke Occurrence

Thalia Shoshana Field, J. R. Mitchell, M. Hill, 2004, Neuroepidemiology.

Resolution-Dependent Estimates of Multiple Sclerosis Lesion Loads

L. L. Cook, J. R. Mitchell, S. Karlik, 2005, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques.

In vivo 4.0‐T magnetic resonance investigation of spinal cord inflammation, demyelination, and axonal damage in chronic‐progressive experimental allergic encephalomyelitis

L. L. Cook, J. R. Mitchell, S. Karlik, 2004, Journal of magnetic resonance imaging : JMRI.

In vivo measurements of multi-component T2 relaxation behaviour in guinea pig brain.

B. Rutt, J. R. Mitchell, S. Karlik, 1999, Magnetic resonance imaging.

Identifying lesion growth with MR imaging in acute ischemic stroke

A. Demchuk, R. Frayne, J. R. Mitchell, 2008, Journal of magnetic resonance imaging : JMRI.

Posterior fossa lesion volume and slowed information processing in multiple sclerosis.

Xingchang Wei, J. R. Mitchell, Yunyan Zhang, 2004, Brain : a journal of neurology.

MR Perfusion and Diffusion in Acute Ischemic Stroke: Human Gray and White Matter have Different Thresholds for Infarction

Richard Frayne, Michael D Hill, A. Demchuk, 2005, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

iPhone-Based Teleradiology for the Diagnosis of Acute Cervico-Dorsal Spine Trauma

Mark Simpson, Jayesh Modi, Mayank Goyal, 2010, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques.

Improved contrast in multispectral phase images derived from magnetic resonance exams of multiple sclerosis patients.

B K Rutt, J. R. Mitchell, B. Rutt, 2002, Medical physics.

A new local multiscale Fourier analysis for medical imaging.

J. R. Mitchell, B G Goodyear, L. Mansinha, 2003, Medical physics.

Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI

Leland S. Hu, Teresa Wu, L. Baxter, 2019, Scientific reports.

3T deep gray matter T2 hypointensity correlates with disability over time in stable relapsing–remitting multiple sclerosis: A 3-year pilot study

J. R. Mitchell, V. Yong, L. Metz, 2010, Journal of the Neurological Sciences.

Brain MR Radiomics to Differentiate Cognitive Disorders.

Y. Geda, J. R. Mitchell, A. Dueck, 2019, The Journal of neuropsychiatry and clinical neurosciences.

Minocycline reduces gadolinium‐enhancing magnetic resonance imaging lesions in multiple sclerosis

S. Patten, J. R. Mitchell, J. Antel, 2004, Annals of neurology.

Pilot Study of Minocycline in Relapsing-Remitting Multiple Sclerosis

J. R. Mitchell, V. Yong, Yunyan Zhang, 2008, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques.

A Deep Convolutional Neural Network for Annotation of Magnetic Resonance Imaging Sequence Type

Leland S. Hu, Kristin R. Swanson, Sara Ranjbar, 2019, Journal of Digital Imaging.

Quantitative assessment of carotid plaque composition using multicontrast MRI and registered histology

Brian K Rutt, Sharon E Clarke, B. Rutt, 2003, Magnetic resonance in medicine.

Reliability of Assessing Percentage of Diffusion-Perfusion Mismatch

Richard Frayne, Andrew M. Demchuk, A. Demchuk, 2003, Stroke.

Edward R. Vrscay, M. L. Lauzon, Bradley G. Goodyear, 2008, ICIAR.

Reduced visual evoked responses in multiple sclerosis patients with optic neuritis: Comparison of functional magnetic resonance imaging and visual evoked potentials

Ravi S. Menon, J. Gati, J. R. Mitchell, 1999, Multiple sclerosis.

Removal of phase artifacts from fMRI data using a Stockwell transform filter improves brain activity detection

Bradley G Goodyear, Hongmei Zhu, Robert A Brown, 2004, Magnetic resonance in medicine.

Corpus Callosum Volume and Interhemispheric Transfer in Multiple Sclerosis

J. R. Mitchell, L. Metz, L. Brown, 2010, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques.

Sex differences in seizure at presentation in glioma population

Leland S. Hu, K. Swanson, M. Mrugala, 2019, bioRxiv.

AnalyzeNNLS: magnetic resonance multiexponential decay image analysis.

Thorarin A Bjarnason, J Ross Mitchell, J. R. Mitchell, 2010, Journal of magnetic resonance.

Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI

Teresa Wu, Leland S. Hu, Jennifer Eschbacher, 2019, Scientific Reports.

A comparison of images generated from diffusion‐weighted and diffusion‐tensor imaging data in hyper‐acute stroke

R. Sevick, R. Frayne, J. R. Mitchell, 2004, Journal of magnetic resonance imaging : JMRI.

A Smartphone Client-Server Teleradiology System for Primary Diagnosis of Acute Stroke

J. R. Mitchell, M. Goyal, M. Simpson, 2011, Journal of medical Internet research.

An instant image transfer system can be used to support rapid medical and imaging decision making in an emergency situations when doctors are away from the hospital1-3. There are several Web-based picture archiving and communication

J. R. Mitchell, M. Goyal, M. Simpson, 2010 .