Montage based 3D Medical Image Retrieval from Traumatic Brain Injury Cohort using Deep Convolutional Neural Network
Dec. 10, 2018—Cailey I. Kerley, Yuankai Huo, Shikha Chaganti, Shunxing Bao, Mayur B. Patel, Bennett A. Landman. “Montage based 3D Medical Image Retrieval from Traumatic Brain Injury Cohort using Deep Convolutional Neural Network.” In SPIE Medical Imaging, International Society for Optics and Photonics, 2019. Full text: NIHMSID Abstract Brain imaging analysis on clinically acquired computed tomography (CT) is essential...
Towards Machine Learning Prediction of Deep Brain Stimulation (DBS) Intra-operative Efficacy Maps
Dec. 10, 2018—Bermudez, C., Rodriguez, W., Huo, Y., Hainline, A. E., Li, R., Shults, R., … & Landman, B. A. (2018). Towards Machine Learning Prediction of Deep Brain Stimulation (DBS) Intra-operative Efficacy Maps. arXiv preprint arXiv:1811.10415. Full Text: https://arxiv.org/abs/1811.10415 Abstract Deep brain stimulation (DBS) has the potential to improve the quality of life of people with a...
Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing
Oct. 26, 2018—Shunxing Bao, Prasanna Parvathaneni, Yuankai Huo, Yogesh Barve, Andrew J. Plassard, Yuang Yao, Hongyang Sun, Ilwoo Lyu, David H. Zald, Bennett A. Landman and Aniruddha Gokhale. “Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing.” Big Data (Big Data), 2018 IEEE International Conference. (accepted) (acceptance rate 18.9%) Full text: TBD Abstract Big data medical image processing...
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...
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...
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....
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...
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...
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...
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...