5 citations · 12 across the 5 of their papers we have counts for
5 papers
Accurate Automatic Segmentation of Amygdala Subnuclei and Modeling of Uncertainty via Bayesian Fully Convolutional Neural Network
Yilin Liu, Gengyan Zhao, Brendon M. Nacewicz +5
Recent advances in deep learning have improved the segmentation accuracy of subcortical brain structures, which would be useful in neuroimaging studies of many neurological disorde…
Exact Combinatorial Inference for Brain Images
Moo K. Chung, Zhan Luo, Alex D. Leow +3
The permutation test is known as the exact test procedure in statistics. However, often it is not exact in practice and only an approximate method since only a small fraction of ev…
Evaluating consistency of deterministic streamline tractography in non-linearly warped DTI data
Nagesh Adluru, Daniel J. Destiche, Do P. M. Tromp +3
Tractography is typically performed for each subject using the diffusion tensor imaging (DTI) data in its native subject space rather than in some space common to the entire study…
Diffeomorphic Metric Mapping and Probabilistic Atlas Generation of Hybrid Diffusion Imaging based on BFOR Signal Basis
Jia Du, A. Pasha Hosseinbor, Moo K. Chung +4
We propose a large deformation diffeomorphic metric mapping algorithm to align multiple b-value diffusion weighted imaging (mDWI) data, specifically acquired via hybrid diffusion i…
Local tests for identifying anisotropic diffusion areas in human brain with DTI
Tao Yu, Chunming Zhang, Andrew L. Alexander +1
Diffusion tensor imaging (DTI) plays a key role in analyzing the physical structures of biological tissues, particularly in reconstructing fiber tracts of the human brain in vivo.…