Andrew J. Plassard

24 papers B 13Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2019	J	`jnl`	Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution. CoRR 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
2018	B	`conf`	Fully convolutional neural networks improve abdominal organ segmentation. Image Processing 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
2018	J	`jnl`	Learning Implicit Brain MRI Manifolds with Deep Learning. CoRR Camilo Bermudez, Andrew J. Plassard, Larry T. Davis, Allen T. Newton, Susan M. Resnick, Bennett A. Landman
2018	B	`conf`	Learning implicit brain MRI manifolds with deep learning. Image Processing Camilo Bermudez, Andrew J. Plassard, Larry T. Davis, Allen T. Newton, Susan M. Resnick, Bennett A. Landman
2018	B	`conf`	Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks. Image Processing Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Andrew J. Plassard, Jiaqi Liu, Yuang Yao, Albert Assad, Richard G. Abramson, Bennett A. Landman
2018	—	`conf`	Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing. IEEE BigData 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
2018	J	`jnl`	Tests of cortical parcellation based on white matter connectivity using diffusion tensor imaging. NeuroImage Yurui Gao, Kurt G. Schilling, Iwona Stepniewska, Andrew J. Plassard, Ann S. Choe, Xia Li, Bennett A. Landman, Adam W. Anderson
2017	J	`jnl`	A Data Colocation Grid Framework for Big Data Medical Image Processing - Backend Design. CoRR Shunxing Bao, Yuankai Huo, Prasanna Parvathaneni, Andrew J. Plassard, Camilo Bermudez, Yuang Yao, Ilwoo Lyu, Aniruddha S. Gokhale, Bennett A. Landman
2017	B	`conf`	Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service. IC2E Shunxing Bao, Andrew J. Plassard, Bennett A. Landman, Aniruddha S. Gokhale
2017	—	`conf`	Deep learning for brain tumor classification. Biomedical Applications in Molecular, Structural, and Functional Imaging Justin S. Paul, Andrew J. Plassard, Bennett A. Landman, Daniel Fabbri
2017	B	`conf`	Multi-modal and targeted imaging improves automated mid-brain segmentation. Image Processing Andrew J. Plassard, Pierre-François D'Haese, Srivatsan Pallavaram, Allen T. Newton, Daniel O. Claassen, Benoit M. Dawant, Bennett A. Landman
2017	B	`conf`	Multi-scale hippocampal parcellation improves atlas-based segmentation accuracy. Image Processing Andrew J. Plassard, Maureen McHugo, Stephan Heckers, Bennett A. Landman
2017	—	`—`	Sequence-Aware and Advanced Biomarker Calculation Improves Statistical Inference in Image Processing of Parkinson's Disease. Andrew J. Plassard
2017	J	`jnl`	Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks. CoRR Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Andrew J. Plassard, Jiaqi Liu, Yuang Yao, Albert Assad, Richard G. Abramson, Bennett A. Landman
2017	B	`conf`	Structural-functional relationships between eye orbital imaging biomarkers and clinical visual assessments. Image Processing Xiuya Yao, Shikha Chaganti, Kunal P. Nabar, Katrina Nelson, Andrew J. Plassard, Robert L. Harrigan, Louise A. Mawn, Bennett A. Landman
2016	B	`conf`	A Bayesian framework for early risk prediction in traumatic brain injury. Image Processing Shikha Chaganti, Andrew J. Plassard, Laura Wilson, Miya A. Smith, Mayur B. Patel, Bennett A. Landman
2016	J	`jnl`	Consistent cortical reconstruction and multi-atlas brain segmentation. NeuroImage Yuankai Huo, Andrew J. Plassard, Aaron Carass, Susan M. Resnick, Dzung L. Pham, Jerry L. Prince, Bennett A. Landman
2016	B	`conf`	Improving cerebellar segmentation with statistical fusion. Image Processing Andrew J. Plassard, Zhen Yang, Jerry L. Prince, Daniel O. Claassen, Bennett A. Landman
2016	B	`conf`	On the fallacy of quantitative segmentation for T1-weighted MRI. Image Processing 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
2015	B	`conf`	Bootstrapping white matter segmentation, Eve++. Image Processing Andrew J. Plassard, Kendra E. Hinton, Vijay K. Venkatraman, Christopher E. Gonzalez, Susan M. Resnick, Bennett A. Landman
2015	B	`conf`	Constructing a statistical atlas of the radii of the optic nerve and cerebrospinal fluid sheath in young healthy adults. Image Processing Robert L. Harrigan, Andrew J. Plassard, Louise A. Mawn, Robert L. Galloway, Seth A. Smith, Bennett A. Landman
2015	J	`jnl`	Multi-atlas learner fusion: An efficient segmentation approach for large-scale data. Medical Image Anal. Andrew J. Asman, Yuankai Huo, Andrew J. Plassard, Bennett A. Landman
2015	B	`conf`	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 Andrew J. Plassard, Patrick D. Kelly, Andrew J. Asman, Hakmook Kang, Mayur B. Patel, Bennett A. Landman
2015	—	`conf`	Toward content-based image retrieval with deep convolutional neural networks. Biomedical Applications in Molecular, Structural, and Functional Imaging Judah E. S. Sklan, Andrew J. Plassard, Daniel Fabbri, Bennett A. Landman