default search action
Andrew J. Plassard
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2010 – 2019
- 2019
- [i4]Vishwesh Nath, Kurt G. Schilling, Colin B. Hansen, Prasanna Parvathaneni, Allison E. Hainline, Camilo Bermudez, Andrew J. Plassard, Vaibhav A. Janve, Yurui Gao, Justin A. Blaber, Iwona Stepniewska, Adam W. Anderson, Bennett A. Landman:
Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution. CoRR abs/1911.07927 (2019) - 2018
- [j3]Yurui Gao, Kurt G. Schilling
, Iwona Stepniewska, Andrew J. Plassard, Ann S. Choe, Xia Li, Bennett A. Landman, Adam W. Anderson:
Tests of cortical parcellation based on white matter connectivity using diffusion tensor imaging. NeuroImage 170: 321-331 (2018) - [c16]Shunxing Bao
Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing. IEEE BigData 2018: 1337-1346 - [c15]Camilo Bermudez, Andrew J. Plassard, Larry T. Davis, Allen T. Newton, Susan M. Resnick, Bennett A. Landman:
Learning implicit brain MRI manifolds with deep learning. Image Processing 2018: 105741L - [c14]Meg F. Bobo, Shunxing Bao
Fully convolutional neural networks improve abdominal organ segmentation. Image Processing 2018: 105742V - [c13]Yuankai Huo, Zhoubing Xu, Shunxing Bao
Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks. Image Processing 2018: 1057409 - [i3]Camilo Bermudez, Andrew J. Plassard, Larry T. Davis, Allen T. Newton, Susan M. Resnick, Bennett A. Landman:
Learning Implicit Brain MRI Manifolds with Deep Learning. CoRR abs/1801.01847 (2018) - 2017
- [b1]Andrew J. Plassard:
Sequence-Aware and Advanced Biomarker Calculation Improves Statistical Inference in Image Processing of Parkinson's Disease. Vanderbilt University, Nashville, Tennessee, USA, 2017 - [c12]Shunxing Bao
Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service. IC2E 2017: 127-137 - [c11]Justin S. Paul, Andrew J. Plassard, Bennett A. Landman, Daniel Fabbri
Deep learning for brain tumor classification. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 1013710 - [c10]Andrew J. Plassard, Pierre-François D'Haese, Srivatsan Pallavaram, Allen T. Newton, Daniel O. Claassen, Benoit M. Dawant, Bennett A. Landman:
Multi-modal and targeted imaging improves automated mid-brain segmentation. Image Processing 2017: 101330J - [c9]Xiuya Yao, Shikha Chaganti, Kunal P. Nabar, Katrina Nelson, Andrew J. Plassard, Robert L. Harrigan
Structural-functional relationships between eye orbital imaging biomarkers and clinical visual assessments. Image Processing 2017: 101331F - [c8]Andrew J. Plassard, Maureen McHugo, Stephan Heckers, Bennett A. Landman:
Multi-scale hippocampal parcellation improves atlas-based segmentation accuracy. Image Processing 2017: 101332D - [i2]Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Andrew J. Plassard, Jiaqi Liu, Yuang Yao, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks. CoRR abs/1712.00542 (2017) - [i1]Shunxing Bao, Yuankai Huo, Prasanna Parvathaneni, Andrew J. Plassard, Camilo Bermudez, Yuang Yao, Ilwoo Lyu, Aniruddha S. Gokhale, Bennett A. Landman:
A Data Colocation Grid Framework for Big Data Medical Image Processing - Backend Design. CoRR abs/1712.08634 (2017) - 2016
- [j2]Yuankai Huo
Consistent cortical reconstruction and multi-atlas brain segmentation. NeuroImage 138: 197-210 (2016) - [c7]Andrew J. Plassard, Zhen Yang, Jerry L. Prince, Daniel O. Claassen, Bennett A. Landman:
Improving cerebellar segmentation with statistical fusion. Image Processing 2016: 97842R - [c6]Andrew J. Plassard, Robert L. Harrigan
On the fallacy of quantitative segmentation for T1-weighted MRI. Image Processing 2016: 978416 - [c5]Shikha Chaganti, Andrew J. Plassard, Laura Wilson, Miya A. Smith, Mayur B. Patel, Bennett A. Landman:
A Bayesian framework for early risk prediction in traumatic brain injury. Image Processing 2016: 978422 - 2015
- [j1]Andrew J. Asman, Yuankai Huo, Andrew J. Plassard, Bennett A. Landman:
Multi-atlas learner fusion: An efficient segmentation approach for large-scale data. Medical Image Anal. 26(1): 82-91 (2015) - [c4]Judah E. S. Sklan, Andrew J. Plassard, Daniel Fabbri
Toward content-based image retrieval with deep convolutional neural networks. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94172C - [c3]Andrew J. Plassard, Patrick D. Kelly
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. Image Processing 2015: 94130K - [c2]Andrew J. Plassard, Kendra E. Hinton, Vijay K. Venkatraman
Bootstrapping white matter segmentation, Eve++. Image Processing 2015: 94133E - [c1]Robert L. Harrigan
Constructing a statistical atlas of the radii of the optic nerve and cerebrospinal fluid sheath in young healthy adults. Image Processing 2015: 941303
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-28 20:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: