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ANDREW J PLASSARD
Author Info
Open Visualization
Name
Affiliation
Papers
ANDREW J PLASSARD
Vanderbilt Univ, Comp Sci, Nashville, TN 37235 USA
18
Collaborators
Citations
PageRank
58
35
6.95
Referers
Referees
References
134
525
146
Search Limit
100
525
Publications (18 rows)
Collaborators (58 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Tests of cortical parcellation based on white matter connectivity using diffusion tensor imaging.
2
0.41
2018
Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks.
8
0.62
2018
Learning Implicit Brain MRI Manifolds with Deep Learning.
4
0.38
2018
Structural-Functional Relationships Between Eye Orbital Imaging Biomarkers and Clinical Visual Assessments.
0
0.34
2017
A Data Colocation Grid Framework for Big Data Medical Image Processing - Backend Design.
2
0.40
2017
Deep learning for brain tumor classification
0
0.34
2017
Multi-Modal and Targeted Imaging Improves Automated Mid-Brain Segmentation.
0
0.34
2017
Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service
2
0.37
2017
Multi-Scale Hippocampal Parcellation Improves Atlas-Based Segmentation Accuracy.
0
0.34
2017
Consistent cortical reconstruction and multi-atlas brain segmentation.
1
0.36
2016
A Bayesian framework for early risk prediction in traumatic brain injury.
0
0.34
2016
On the fallacy of quantitative segmentation for T1-weighted MRI.
1
0.38
2016
Improving cerebellar segmentation with statistical fusion.
1
0.34
2016
Bootstrapping white matter segmentation, Eve++
0
0.34
2015
Revealing Latent Value of Clinically Acquired CTs of Traumatic Brain Injury Through Multi-Atlas Segmentation in a Retrospective Study of 1,003 with External Cross-Validation.
0
0.34
2015
Constructing a statistical atlas of the radii of the optic nerve and cerebrospinal fluid sheath in young healthy adults.
0
0.34
2015
Toward Content Based Image Retrieval with Deep Convolutional Neural Networks.
4
0.39
2015
Multi-atlas learner fusion: An efficient segmentation approach for large-scale data
10
0.60
2015
1