Automatic Brain Organ Segmentation with 3D Fully Convolutional Neural Network for Radiation Therapy Treatment Planning. - Hongyi Duanmu; Jinkoo Kim; Praitayini Kanakaraj; Andrew Wang; John Joshua; Jun Kong 002; Fusheng Wang 001 (ISBI, 2020)

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)

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)

Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context. - Leon Yichen Cai; Ho Hin Lee; Nancy Rose Newlin; Cailey Irene Kerley; Praitayini Kanakaraj; Qi Yang 004; Graham Walter Johnson; Daniel Moyer; Kurt Gregory Schilling; Francois Rheault; Bennett A. Landman (MIDL, 2023)

Mapping the impact of approximate gradient nonlinearity fields correction on tractography. - Praitayini Kanakaraj; Francois Rheault; Leon Y. Cai; Nancy Newlin; Fang-Cheng Yeh; Baxter P. Rogers; Kurt G. Schilling; Bennett A. Landman (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)

Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation. - Aravind R. Krishnan; Kaiwen Xu; Thomas Z. Li; Chenyu Gao; Lucas W. Remedios; Praitayini Kanakaraj; Ho Hin Lee; Shunxing Bao; Kim L. Sandler; Fabien Maldonado; Ivana Isgum; Bennett A. Landman (CoRR, 2023)

Predicting Age from White Matter Diffusivity with Residual Learning. - Chenyu Gao; Michael E. Kim; Ho Hin Lee; Qi Yang 004; Nazirah Mohd Khairi; Praitayini Kanakaraj; Nancy R. Newlin; Derek B. Archer; Angela L. Jefferson; Warren D. Taylor; Brian D. Boyd; Lori L. Beason-Held; et al. (CoRR, 2023)

Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge. - Gabriel Girard; Jonathan Rafael-Patino; Raphaël Truffet; Dogu Baran Aydogan; Nagesh Adluru; Veena A. Nair; Vivek Prabhakaran; Barbara B. Bendlin; Andrew L. Alexander; Sara Bosticardo; Ilaria Gabusi; Mario Ocampo-Pineda; et al. (NeuroImage, 2023)

Introducing QuantConn: Overcoming Challenging Diffusion Acquisitions with Harmonization. - Nancy Newlin; Kurt Schilling; Serge Koudoro; Bramsh Qamar Chandio; Praitayini Kanakaraj; Daniel Moyer; Claire E. Kelly; Sila Genc; Joseph Yuan-Mou Yang; Ye Wu 001; Nagesh Adluru; Vishwesh Nath; et al. (CDMRI@MICCAI, 2024)

Ts-FWE: Token-Aware Single-Shell Free Water Estimation for Brain Diffusion MRI. - Tianyuan Yao; Derek B. Archer; Zhiyuan Li 012; Leon Y. Cai; Praitayini Kanakaraj; Nancy Newlin; Quan Liu 002; Ruining Deng; Can Cui 006; Shunxing Bao; Kurt Schilling; Bennett A. Landman; et al. (CDMRI@MICCAI, 2024)

Field-of-View Extension for Diffusion MRI via Deep Generative Models. - Chenyu Gao; Shunxing Bao; Michael E. Kim; Nancy Newlin; Praitayini Kanakaraj; Tianyuan Yao; Gaurav Rudravaram; Yuankai Huo; Daniel Moyer; Kurt Schilling; Walter Kukull; Arthur W. Toga; et al. (CoRR, 2024)

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)

Multi-Modality Conditioned Variational U-Net for Field-of-View Extension in Brain Diffusion MRI. - Zhiyuan Li 012; Tianyuan Yao; Praitayini Kanakaraj; Chenyu Gao; Shunxing Bao; Lianrui Zuo; Michael E. Kim; Nancy R. Newlin; Gaurav Rudravaram; Nazirah Mohd Khairi; Yuankai Huo; Kurt G. Schilling; 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)

MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI. - Nancy R. Newlin; Kurt Schilling; Serge Koudoro; Bramsh Qamar Chandio; Praitayini Kanakaraj; Daniel Moyer; Claire E. Kelly; Sila Genc; Jian Chen; Joseph Yuan-Mou Yang; Ye Wu; Yifei He; et al. (CoRR, 2024)

DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images. - Praitayini Kanakaraj; Tianyuan Yao; Leon Y. Cai; Ho Hin Lee; Nancy R. Newlin; Michael E. Kim; Chenyu Gao; Kimberly R. Pechman; Derek B. Archer; Timothy J. Hohman; Angela L. Jefferson; Lori L. Beason-Held; et al. (Neuroinformatics, 2024)

Polyhedra Encoding Transformers: Enhancing Diffusion MRI Analysis Beyond Voxel and Volumetric Embedding. - Tianyuan Yao; Zhiyuan Li 012; Praitayini Kanakaraj; Derek B. Archer; Kurt Schilling; Lori L. Beason-Held; Susan M. Resnick; Bennett A. Landman; Yuankai Huo (CoRR, 2025)