211 citations · 415 across the 41 of their papers we have counts for
9 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…
Self-Configuring and Evolving Fuzzy Image Thresholding
A. Othman, H. R. Tizhoosh, F. Khalvati
Every segmentation algorithm has parameters that need to be adjusted in order to achieve good results. Evolving fuzzy systems for adjustment of segmentation parameters have been pr…
Medical Image Classification via SVM using LBP Features from Saliency-Based Folded Data
Zehra Camlica, H. R. Tizhoosh, Farzad Khalvati
Good results on image classification and retrieval using support vector machines (SVM) with local binary patterns (LBPs) as features have been extensively reported in the literatur…
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…
Autoencoding the Retrieval Relevance of Medical Images
Zehra Camlica, H. R. Tizhoosh, Farzad Khalvati
Content-based image retrieval (CBIR) of medical images is a crucial task that can contribute to a more reliable diagnosis if applied to big data. Recent advances in feature extract…
Evolving Fuzzy Image Segmentation with Self-Configuration
Ahmed Othman, Hamid R. Tizhoosh, Farzad Khalvati
Current image segmentation techniques usually require that the user tune several parameters in order to obtain maximum segmentation accuracy, a computationally inefficient approach…