Karthik Ramadass

According to our database, Karthik Ramadass authored at least 11 papers between 2022 and 2023.

Collaborative distances:

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

2023

Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI.

Tianyuan Yao, Francois Rheault, Leon Y. Cai, Vishwesh Nath, Zuhayr Asad, Nancy Newlin, Can Cui, Ruining Deng, Karthik Ramadass, Andrea T. Shafer, Susan M. Resnick, Kurt Schilling, Bennett A. Landman, Yuankai Huo

CoRR, 2023

Exploring shared memory architectures for end-to-end gigapixel deep learning.

Lucas W. Remedios, Leon Y. Cai, Samuel W. Remedios, Karthik Ramadass, Aravind R. Krishnan, Ruining Deng, Can Cui, Shunxing Bao, Lori A. Coburn, Yuankai Huo, Bennett A. Landman

CoRR, 2023

A Unified Single-stage Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI.

Tianyuan Yao, Nancy Newlin, Praitayini Kanakaraj, Vishwesh Nath, Leon Y. Cai, Karthik Ramadass, Kurt Schilling, Bennett A. Landman, Yuankai Huo

CoRR, 2023

Deep constrained spherical deconvolution for robust harmonization.

Tianyuan Yao, Francois Rheault, Leon Y. Cai, Vishwesh Nath, Zuhayr Asad, Nancy Newlin, Can Cui, Ruining Deng, Karthik Ramadass, Kurt Schilling, Bennett A. Landman, Yuankai Huo

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Deep whole brain segmentation of 7T structural MRI.

Karthik Ramadass, Xin Yu, Leon Y. Cai, Yucheng Tang, Shunxing Bao, Cailey I. Kerley, Micah D'Archangel, Laura A. Barquero, Allen T. Newton, Isabel Gauthier, Rankin W. McGugin, Benoit M. Dawant, Laurie E. Cutting, Yuankai Huo, Bennett A. Landman

Proceedings of the Medical Imaging 2023: Image Processing, 2023

A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRI.

Tianyuan Yao, Nancy Newlin, Praitayini Kanakaraj, Vishwesh Nath, Leon Y. Cai, Karthik Ramadass, Kurt Schilling, Bennett A. Landman, Yuankai Huo

Proceedings of the Computational Diffusion MRI - 14th International Workshop, 2023

2022

Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment.

Praitayini Kanakaraj, Karthik Ramadass, Shunxing Bao, Melissa A. Basford, Laura M. Jones, Ho Hin Lee, Kaiwen Xu, Kurt G. Schilling, John Jeffrey Carr, James G. Terry, Yuankai Huo, Kim L. Sandler, Allen T. Netwon, Bennett A. Landman

J. Digit. Imaging, 2022

Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis.

Shunxing Bao, Brian D. Boyd, Praitayini Kanakaraj, Karthik Ramadass, Francisco A. C. Meyer, Yuqian Liu, William E. Duett, Yuankai Huo, Ilwoo Lyu, David H. Zald, Seth A. Smith, Baxter P. Rogers, Bennett A. Landman

J. Digit. Imaging, 2022

Ultra-high-resolution mapping of cortical layers 3T-guided 7T MRI.

Karthik Ramadass, Francois Rheault, Leon Y. Cai, Lucas W. Remedios, Micah D'Archangel, Ilwoo Lyu, Laura A. Barquero, Allen T. Newton, Laurie E. Cutting, Yuankai Huo, Bennett A. Landman

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Mapping the impact of non-linear gradient fields on diffusion MRI tensor estimation.

Praitayini Kanakaraj, Colin B. Hansen, Francois Rheault, Leon Y. Cai, Karthik Ramadass, Baxter P. Rogers, Kurt G. Schilling, Bennett A. Landman

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Multimodal neuroimaging in pediatric type 1 diabetes: a pilot multisite feasibility study of acquisition quality, motion, and variability.

Leon Y. Cai, Costin Tanase, Adam W. Anderson, Karthik Ramadass, Francois Rheault, Chelsea A. Lee, Niral J. Patel, Sky Jones, Lauren M. LeStourgeon, Alix Mahon, Sumit Pruthi, Kriti Gwal, Arzu Ozturk, Hakmook Kang, Nicole Glaser, Simona Ghetti, Sarah S. Jaser, Lori C. Jordan, Bennett A. Landman

Proceedings of the Medical Imaging 2022: Image Processing, 2022