Andrew J. Plassard

Publication Activity (10 Years)

Years Active: 2015-2019
Publications (10 Years): 23

Top Topics

Medical Image Processing

Brain Segmentation

Diffusion Tensor

Top Venues

Medical Imaging: Image Processing

Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging

Publications

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 (2019)
Shunxing Bao, Prasanna Parvathaneni, Yuankai Huo, Yogesh D. Barve, Andrew J. Plassard, Yuang Yao, Hongyang Sun, Ilwoo Lyu, David H. Zald, Bennett A. Landman, Aniruddha S. Gokhale
Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing. IEEE BigData (2018)
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. Medical Imaging: Image Processing (2018)
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. Medical Imaging: Image Processing (2018)
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 (2018)
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 (2018)
Meg F. Bobo, Shunxing Bao, Yuankai Huo, Yuang Yao, Jack Virostko, Andrew J. Plassard, Ilwoo Lyu, Albert Assad, Richard G. Abramson, Melissa A. Hilmes, Bennett A. Landman
Fully convolutional neural networks improve abdominal organ segmentation. Medical Imaging: Image Processing (2018)
Shunxing Bao, Andrew J. Plassard, Bennett A. Landman, Aniruddha S. Gokhale
Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service. IC2E (2017)
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. Medical Imaging: Image Processing (2017)
Xiuya Yao, Shikha Chaganti, Kunal P. Nabar, Katrina Nelson, Andrew J. Plassard, Robert L. Harrigan, Louise A. Mawn, Bennett A. Landman
Structural-functional relationships between eye orbital imaging biomarkers and clinical visual assessments. Medical Imaging: Image Processing (2017)
Justin S. Paul, Andrew J. Plassard, Bennett A. Landman, Daniel Fabbri
Deep learning for brain tumor classification. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2017)
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 (2017)
Andrew J. Plassard, Maureen McHugo, Stephan Heckers, Bennett A. Landman
Multi-scale hippocampal parcellation improves atlas-based segmentation accuracy. Medical Imaging: Image Processing (2017)
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 (2017)
Andrew J. Plassard, Robert L. Harrigan, Allen T. Newton, Swati D. Rane, Srivatsan Pallavaram, Pierre-François D'Haese, Benoit M. Dawant, Daniel O. Claassen, Bennett A. Landman
On the fallacy of quantitative segmentation for T1-weighted MRI. Medical Imaging: Image Processing (2016)
Andrew J. Plassard, Zhen Yang, Jerry L. Prince, Daniel O. Claassen, Bennett A. Landman
Improving cerebellar segmentation with statistical fusion. Medical Imaging: Image Processing (2016)
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. Medical Imaging: Image Processing (2016)
Yuankai Huo, Andrew J. Plassard, Aaron Carass, Susan M. Resnick, Dzung L. Pham, Jerry L. Prince, Bennett A. Landman
Consistent cortical reconstruction and multi-atlas brain segmentation. NeuroImage 138 (2016)
Andrew J. Plassard, Patrick D. Kelly, Andrew J. Asman, Hakmook Kang, Mayur B. Patel, Bennett A. Landman
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. Medical Imaging: Image Processing (2015)
Robert L. Harrigan, Andrew J. Plassard, Louise A. Mawn, Robert L. Galloway, Seth A. Smith, Bennett A. Landman
Constructing a statistical atlas of the radii of the optic nerve and cerebrospinal fluid sheath in young healthy adults. Medical Imaging: Image Processing (2015)
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) (2015)
Judah E. S. Sklan, Andrew J. Plassard, Daniel Fabbri, Bennett A. Landman
Toward content-based image retrieval with deep convolutional neural networks. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2015)
Andrew J. Plassard, Kendra E. Hinton, Vijay K. Venkatraman, Christopher E. Gonzalez, Susan M. Resnick, Bennett A. Landman
Bootstrapping white matter segmentation, Eve++. Medical Imaging: Image Processing (2015)