65 citations · 75 across the 10 of their papers we have counts for
4 papers · 1 filter
A machine learning-based method for estimating the number and orientations of major fascicles in diffusion-weighted magnetic resonance imaging
Davood Karimi, Lana Vasung, Camilo Jaimes +4
Multi-compartment modeling of diffusion-weighted magnetic resonance imaging measurements is necessary for accurate brain connectivity analysis. Existing methods for estimating the…
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks
Davood Karimi, Simon K. Warfield, Ali Gholipour
Transfer learning is widely used for training machine learning models. Here, we study the role of transfer learning for training fully convolutional networks (FCNs) for medical ima…
Magic DIAMOND: Multi-Fascicle Diffusion Compartment Imaging with Tensor Distribution Modeling and Tensor-Valued Diffusion Encoding
A. Reymbaut, A. Valcourt Caron, G. Gilbert +5
Diffusion tensor imaging provides increased sensitivity to microstructural tissue changes compared to conventional anatomical imaging but also presents limited specificity. To tack…
Physics-Based Iterative Reconstruction for Dual Source and Flying Focal Spot Computed Tomography
Xiao Wang, Robert D. MacDougall, Peng Chen +2
For single source helical Computed Tomography (CT), both Filtered-Back Projection (FBP) and statistical iterative reconstruction have been investigated. However for dual source CT…