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Scientific Reports|March 2, 2022
Synthetic correlated diffusion imaging hyperintensity delineates clinically significant prostate cancerAlexander Wong, Hayden Gunraj, Vignesh Sivan, et al.
Sensors (Basel, Switzerland)|March 14, 2020
Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer SensingChris Dulhanty, Linda Wang, Maria Cheng, et al.
Frontiers in Medicine|January 11, 2021
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest CT ImagesHayden Gunraj, Linda Wang, Alexander Wong
BMC Medical Imaging|August 6, 2015
Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature modelsFarzad Khalvati, Alexander Wong, Masoom A Haider
Frontiers in Medicine|April 1, 2022
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 From Chest CT Images Through Bigger, More Diverse LearningHayden Gunraj, Ali Sabri, David Koff, et al.
IEEE Transactions on Bio-Medical Engineering|October 7, 2015
MAPS: A Quantitative Radiomics Approach for Prostate Cancer DetectionAndrew Cameron, Farzad Khalvati, Masoom A Haider, et al.
BMC Medical Imaging|October 14, 2015
Monte Carlo-based noise compensation in coil intensity corrected endorectal MRIDorothy Lui, Amen Modhafar, Masoom A Haider, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Enhanced dual-stage correlated diffusion imagingFarzad Khalvati, Junjie Zhang, Masoom A Haider, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Quantitative investigative analysis of tumour separability in the prostate gland using ultra-high b-value computed diffusion imagingJeffrey Glaister, Andrew Cameron, Alexander Wong, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Non-parametric Bayesian estimation of apparent diffusion coefficient from diffusion-weighted magnetic resonance imaging dataAndrew Cameron, Jeffrey Glaister, Alexander Wong, et al.
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