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Hierarchical Spherical Deformation for Shape Correspondence

Oct. 26, 2018—Ilwoo Lyu, Martin A. Styner and Bennett A. Landman. “Hierarchical Spherical Deformation for Shape Correspondence”. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain, 2018. [Full text][Code][Docker] Abstract We present novel spherical deformation for a landmark-free shape correspondence in a group-wise manner. In this work, we aim at both addressing...

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SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth

Oct. 26, 2018—Yuankai Huo, Zhoubing Xu, Hyeonsoo Moon, Shunxing Bao, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, and Bennett A. Landman. “SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth.”  IEEE transactions on medical imaging (2018). Open Access ArXiv Download Abstract A key limitation of deep convolutional neural networks (DCNN) based image segmentation methods is...

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Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning

Sep. 10, 2018—Vishwesh Nath, Prasanna Parvathaneni, Colin B. Hansen, Allison E. Hainline, Camilo Bermudez, Samuel Remedios, Justin A. Blaber, Kurt G. Schilling, Ilwoo Lyu, Vaibhav Janve, Yurui Gao, Iwona Stepniewska, Baxter P. Rogers, Allen T. Newton, L. Taylor Davis, Jeff Luci, Adam W. Anderson and Bennett A. Landman (Accepted at Computation Diffusion MRI Workshop at MICCAI 2018) Abstract....

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Harmonization of white and gray matter features in diffusion microarchitecture for cross sectional studies

Jun. 25, 2018—Prasanna Parvathaneni, Shunxing Bao , Allison Hainline , Yuankai Huo , Kurt G. Schilling , Hakmook Kang , Owen Williams , Neil D. Woodward , Susan M. Resnick , David H. Zald  , Ilwoo Lyu , Bennett A. Landman “Harmonization of white and gray matter features in diffusion microarchitecture for cross sectional studies.”  In International Conference on Clinical and Medical Image Analysis 2018 (ICCMIA’18) – Accepted Abstract Understanding of the specific processes...

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Towards Portable Large-Scale Image Processing with High-Performance Computing

May. 8, 2018—Yuankai Huo, Justin Blaber, Stephen M. Damon, Brian D. Boyd, Shunxing Bao, Prasanna Parvathaneni, Camilo Bermudez Noguera, Shikha Chaganti, Vishwesh Nath, Greer M. Jasmine, Ilwoo Lyu, William R. French, Allen T. Newton, Baxter P. Rogers, Bennett A. Landman. “Towards Portable Large-Scale Image Processing with High-Performance Computing”. Journal of Digital Imaging. (2018): 1-11. Open Access Download...

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Empirical Reproducibility, Sensitivity, and Optimization of Acquisition Protocol for Neurite Orientation Dispersion and Density Imaging using AMICO

Apr. 6, 2018—Prasanna Parvathaneni, Vishwesh Nath, Justin A. Blaber, Kurt G Schilling, Allison E. Hainline, Adam W Anderson, and Bennett A. Landman “Empirical Reproducibility, Sensitivity, and Optimization of Acquisition Protocol for Neurite Orientation Dispersion and Density Imaging using AMICO”. Magnetic Resonance Imaging. Mar 2018. Abstract Neurite Orientation Dispersion and Density Imaging (NODDI) is a relatively new model for diffusion weighted...

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Phantom-based field maps for gradient nonlinearity correction in diffusion imaging

Feb. 8, 2018—Citation: “Phantom-based field maps for gradient nonlinearity correction in diffusion imaging”.  Baxter P. Rogers, Justin Blaber, Allen T. Newton, Colin B. Hansen , E. Brian Welch, Adam W. Anderson, Jeffrey J. Luci , Carlo Pierpaoli , Bennett A. Landman   In SPIE Medical Imaging, International Society for Optics and Photonics, 2018 (Accepted). Abstract Gradient coils in magnetic resonance imaging...

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TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction

Dec. 28, 2017—Ilwoo Lyu, Sun Hyung Kim, Neil D. Woodward, Martin A. Styner and Bennett A. Landman. “TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction “. IEEE Transactions on Medical Imaging 37(7), pp. 1653-1663, 2018. [Full text][Code][Docker] Abstract A proper geometric representation of the cortical regions is a fundamental task for cortical shape analysis and...

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Learning Implicit Brain MRI Manifolds with Deep Learning

Dec. 22, 2017—Bermudez, C., Plassard, A.J., Davis, T.L., Newton, A.T., Resnick, S.M., and Landman, B.A. (2017) “Learning implicit brain MRI manifolds with deep learning.” arXiv preprint arXiv:1801.01847 Full Text: https://arxiv.org/pdf/1801.01847.pdf Abstract An important task in image processing and neuroimaging is to extract quantitative information from the acquired images in order to make observations about the presence of disease...

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Improved Stability of Whole Brain Surface Parcellation with Multi-Atlas Segmentation

Dec. 19, 2017—Yuankai Huo, Shunxing Bao, Prasanna Parvathaneni, Bennett A. Landman. “Improved Stability of Whole Brain Surface Parcellation with Multi-atlas Segmentation.” SPIE 2018 Full text: https://arxiv.org/abs/1712.00543 Abstract Whole brain segmentation and cortical surface parcellation are essential in understanding the brain’s anatomical-functional relationships. Multi-atlas segmentation has been regarded as one of the leading segmentation methods for the whole...

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