Andrew J. Asman

According to our database, Andrew J. Asman authored at least 27 papers between 2011 and 2015.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2015

Multi-atlas learner fusion: An efficient segmentation approach for large-scale data.

Andrew J. Asman, Yuankai Huo, Andrew J. Plassard, Bennett A. Landman

Medical Image Anal., 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.

Andrew J. Plassard, Patrick D. Kelly, Andrew J. Asman, Hakmook Kang, Mayur B. Patel, Bennett A. Landman

Proceedings of the Medical Imaging 2015: Image Processing, 2015

2014

Multi-Atlas Segmentation through Rater Performance Modeling: Theory and Applications.

Andrew J. Asman

PhD thesis, 2014

Hierarchical performance estimation in the statistical label fusion framework.

Andrew J. Asman, Bennett A. Landman

Medical Image Anal., 2014

Groupwise multi-atlas segmentation of the spinal cord's internal structure.

Andrew J. Asman, Frederick W. Bryan, Seth A. Smith, Daniel S. Reich, Bennett A. Landman

Medical Image Anal., 2014

Shape-constrained multi-atlas segmentation of spleen in CT.

Zhoubing Xu, Bo Li, Swetasudha Panda, Andrew J. Asman, Kristen L. Merkle, Peter L. Shanahan, Richard G. Abramson, Bennett A. Landman

Proceedings of the Medical Imaging 2014: Image Processing, 2014

Robust optic nerve segmentation on clinically acquired CT.

Swetasudha Panda, Andrew J. Asman, Michael P. DeLisi, Louise A. Mawn, Robert L. Galloway, Bennett A. Landman

Proceedings of the Medical Imaging 2014: Image Processing, 2014

Applying the algorithm "assessing quality using image registration circuits" (AQUIRC) to multi-atlas segmentation.

Ryan D. Datteri, Andrew J. Asman, Bennett A. Landman, Benoit M. Dawant

Proceedings of the Medical Imaging 2014: Image Processing, 2014

Statistical label fusion with hierarchical performance models.

Andrew J. Asman, Alexander S. Dagley, Bennett A. Landman

Proceedings of the Medical Imaging 2014: Image Processing, 2014

SIMPLE Is a Good Idea (and Better with Context Learning).

Zhoubing Xu, Andrew J. Asman, Peter L. Shanahan, Richard G. Abramson, Bennett A. Landman

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013

Non-local statistical label fusion for multi-atlas segmentation.

Andrew J. Asman, Bennett A. Landman

Medical Image Anal., 2013

Robust non-local multi-atlas segmentation of the optic nerve.

Andrew J. Asman, Michael P. DeLisi, Louise A. Mawn, Robert L. Galloway, Bennett A. Landman

Proceedings of the Medical Imaging 2013: Image Processing, 2013

Robust GM/WM Segmentation of the Spinal Cord with Iterative Non-local Statistical Fusion.

Andrew J. Asman, Seth A. Smith, Daniel S. Reich, Bennett A. Landman

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012

Robust Statistical Fusion of Image Labels.

Bennett A. Landman, Andrew J. Asman, Andrew G. Scoggins, John A. Bogovic, Fangxu Xing, Jerry L. Prince

IEEE Trans. Medical Imaging, 2012

Correction to "Formulating Spatially Varying Performance in the Statistical Fusion Framework".

Andrew J. Asman, Bennett A. Landman

IEEE Trans. Medical Imaging, 2012

Formulating Spatially Varying Performance in the Statistical Fusion Framework.

Andrew J. Asman, Bennett A. Landman

IEEE Trans. Medical Imaging, 2012

Foibles, follies, and fusion: Web-based collaboration for medical image labeling.

Bennett A. Landman, Andrew J. Asman, Andrew G. Scoggins, John A. Bogovic, Joshua A. Stein, Jerry L. Prince

NeuroImage, 2012

Generalized statistical label fusion using multiple consensus levels.

Zhoubing Xu, Andrew J. Asman, Bennett A. Landman

Proceedings of the Medical Imaging 2012: Image Processing, 2012

Finding seeds for segmentation using statistical fusion.

Fangxu Xing, Andrew J. Asman, Jerry L. Prince, Bennett A. Landman

Proceedings of the Medical Imaging 2012: Image Processing, 2012

Simultaneous segmentation and statistical label fusion.

Andrew J. Asman, Bennett A. Landman

Proceedings of the Medical Imaging 2012: Image Processing, 2012

Non-local STAPLE: An Intensity-Driven Multi-atlas Rater Model.

Andrew J. Asman, Bennett A. Landman

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Collaborative labeling of malignant glioma.

Zhoubing Xu, Andrew J. Asman, Eesha Singh, Lola B. Chambless, Reid Carleton Thompson, Bennett A. Landman

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Out-of-atlas labeling: A multi-atlas approach to cancer segmentation.

Andrew J. Asman, Bennett A. Landman

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011

Robust Statistical Label Fusion Through Consensus Level, Labeler Accuracy, and Truth Estimation (COLLATE).

Andrew J. Asman, Bennett A. Landman

IEEE Trans. Medical Imaging, 2011

Foibles, follies, and fusion: assessment of statistical label fusion techniques for web-based collaborations using minimal training.

Andrew J. Asman, Andrew G. Scoggins, Jerry L. Prince, Bennett A. Landman

Proceedings of the Medical Imaging 2011: Image Processing, 2011

Assessment of Bias for MRI Diffusion Tensor Imaging Using SIMEX.

Carolyn B. Lauzon, Andrew J. Asman, Ciprian M. Crainiceanu, Brian C. Caffo, Bennett A. Landman

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Characterizing Spatially Varying Performance to Improve Multi-atlas Multi-label Segmentation.

Andrew J. Asman, Bennett A. Landman

Proceedings of the Information Processing in Medical Imaging, 2011