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; et al. (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 (Image Processing, 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 (Image Processing, 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; et al. (J. Digit. Imaging, 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; et al. (J. Digit. Imaging, 2022)

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 (CDMRI@MICCAI, 2023)

Deep whole brain segmentation of 7T structural MRI. - Karthik Ramadass; Xin Yu 010; 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; et al. (Image Processing, 2023)

Deep constrained spherical deconvolution for robust harmonization. - Tianyuan Yao; Francois Rheault; Leon Y. Cai; Vishwesh Nath; Zuhayr Asad; Nancy Newlin; Can Cui 006; Ruining Deng; Karthik Ramadass; Kurt Schilling; Bennett A. Landman; Yuankai Huo (Image Processing, 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)

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 006; Shunxing Bao; Lori A. Coburn; Yuankai Huo; Bennett A. Landman (CoRR, 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 006; Ruining Deng; Karthik Ramadass; Andrea T. Shafer; Susan M. Resnick; Kurt Schilling; et al. (CoRR, 2023)

Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets. - Michael E. Kim; Karthik Ramadass; Chenyu Gao; Praitayini Kanakaraj; Nancy R. Newlin; Gaurav Rudravaram; Kurt G. Schilling; Blake E. Dewey; Derek B. Archer; Timothy J. Hohman; Zhiyuan Li 012; Shunxing Bao; et al. (CoRR, 2024)

Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets. - Michael E. Kim; Chenyu Gao; Karthik Ramadass; Praitayini Kanakaraj; Nancy R. Newlin; Gaurav Rudravaram; Kurt G. Schilling; Blake E. Dewey; David A. Bennett; Sid OBryant; Robert C. Barber; Derek B. Archer; et al. (CoRR, 2024)

Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease. - Chenyu Gao; Michael E. Kim; Karthik Ramadass; Praitayini Kanakaraj; Aravind R. Krishnan; Adam M. Saunders; Nancy R. Newlin; Ho Hin Lee; Qi Yang 004; Warren D. Taylor; Brian D. Boyd; Lori L. Beason-Held; et al. (CoRR, 2024)