211 citations · 290 across the 15 of their papers we have counts for
6 papers · 1 filter
Sparse Reconstruction of Compressive Sensing MRI using Cross-Domain Stochastically Fully Connected Conditional Random Fields
Edward Li, Farzad Khalvati, Mohammad Javad Shafiee +2
Magnetic Resonance Imaging (MRI) is a crucial medical imaging technology for the screening and diagnosis of frequently occurring cancers. However image quality may suffer by long a…
Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model
Ameneh Boroomand, Mohammad Javad Shafiee, Farzad Khalvati +2
Diffusion weighted magnetic resonance imaging (DW-MR) is a powerful tool in imaging-based prostate cancer screening and detection. Endorectal coils are commonly used in DW-MR imagi…
Discovery Radiomics via StochasticNet Sequencers for Cancer Detection
Mohammad Javad Shafiee, Audrey G. Chung, Devinder Kumar +3
Radiomics has proven to be a powerful prognostic tool for cancer detection, and has previously been applied in lung, breast, prostate, and head-and-neck cancer studies with great s…
Discovery Radiomics for Multi-Parametric MRI Prostate Cancer Detection
Audrey G. Chung, Mohammad Javad Shafiee, Devinder Kumar +3
Prostate cancer is the most diagnosed form of cancer in Canadian men, and is the third leading cause of cancer death. Despite these statistics, prognosis is relatively good with a…
Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction
Devinder Kumar, Mohammad Javad Shafiee, Audrey G. Chung +3
Lung cancer is the leading cause for cancer related deaths. As such, there is an urgent need for a streamlined process that can allow radiologists to provide diagnosis with greater…
Monte Carlo-based Noise Compensation in Coil Intensity Corrected Endorectal MRI
Dorothy Lui, Amen Modhafar, Masoom Haider +1
Background: Prostate cancer is one of the most common forms of cancer found in males making early diagnosis important. Magnetic resonance imaging (MRI) has been useful in visualizi…