145 citations · 154 across the 4 of their papers we have counts for
4 papers
Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution
Vishwesh Nath, Kurt G. Schilling, Colin B. Hansen +10
Confocal histology provides an opportunity to establish intra-voxel fiber orientation distributions that can be used to quantitatively assess the biological relevance of diffusion…
Learning Implicit Brain MRI Manifolds with Deep Learning
Camilo Bermudez, Andrew J. Plassard, Larry T. Davis +3
An important task in image processing and neuroimaging is to extract quantitative information from the acquired images in order to make observations about the presence of disease o…
A Data Colocation Grid Framework for Big Data Medical Image Processing - Backend Design
Shunxing Bao, Yuankai Huo, Prasanna Parvathaneni +6
When processing large medical imaging studies, adopting high performance grid computing resources rapidly becomes important. We recently presented a "medical image processing-as-a-…
Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks
Yuankai Huo, Zhoubing Xu, Shunxing Bao +7
Spleen volume estimation using automated image segmentation technique may be used to detect splenomegaly (abnormally enlarged spleen) on Magnetic Resonance Imaging (MRI) scans. In…