Functional imaging of cancer in the abdomen and pelvis. Current areas of active research include prostate, cervix, liver, colon and other genitourinary cancers.
Fully automated segmentation of prostate whole gland and transition zone in diffusion-weighted MRI using convolutional neural networks.
J Med Imaging (Bellingham). 2017 Oct;4(4):041307
Discovery radiomics via evolutionary deep radiomic sequencer discovery for pathologically proven lung cancer detection.
J Med Imaging (Bellingham). 2017 Oct;4(4):041305
Transl Androl Urol. 2017 Jun;6(3):464-471
CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma - a quantitative analysis.
BMC Med Imaging. 2017 Jun 19;17(1):38
Sci Rep. 2017 Apr 18;7:46349
Expert consensus document: Semantics in active surveillance for men with localized prostate cancer - results of a modified Delphi consensus procedure.
Nat Rev Urol. 2017 Mar 14;:
Evidence-based guideline recommendations on multiparametric magnetic resonance imaging in the diagnosis of prostate cancer: A Cancer Care Ontario clinical practice guideline.
Can Urol Assoc J. 2017 Jan-Feb;11(1-2):E1-E7
CT texture analysis: a potential tool for prediction of survival in patients with metastatic clear cell carcinoma treated with sunitinib.
Cancer Imaging. 2017 Jan 23;17(1):4
Multiparametric magnetic resonance imaging for pre-treatment local staging of prostate cancer: A Cancer Care Ontario clinical practice guideline.
Can Urol Assoc J. 2016 Sep-Oct;10(9-10):E332-E339
AJR Am J Roentgenol. 2016 Oct 11;:1-9
Cancer Clinical Research Unit (CCRU), Princess Margaret Cancer Centre
Senior Scientist, Physical Science, Odette Cancer Research Program, Sunnybrook Research Institute
Clinician Scientist, Ontario Institute for Cancer Research
Associate Member, Institute of Medical Science, University of Toronto
Professor, Department of Medical Imaging, University of Toronto
Chief, Department of Medical Imaging, Sunnybrook Health Sciences Centre