Integrating histology and MRI in the first digital brain of common squirrel monkey, Saimiri sciureus. - Peizhen Sun; Prasanna Parvathaneni; Kurt G. Schilling; Yurui Gao; Vaibhav A. Janve; Adam W. Anderson; Bennett A. Landman (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Erratum: Integrating histology and MRI in the first digital brain of common squirrel monkey, Saimiri sciureus. - Peizhen Sun; Prasanna Parvathaneni; Kurt G. Schilling; Yurui Gao; Vaibhav A. Janve; Adam W. Anderson; Bennett A. Landman (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

A 3D high resolution ex vivo white matter atlas of the common squirrel monkey (Saimiri sciureus) based on diffusion tensor imaging. - Yurui Gao; Prasanna Parvathaneni; Kurt Schilling; Feng Wang 052; Iwona Stepniewska; Zhoubing Xu; Ann S. Choe; Zhaohua Ding; John C. Gore; Li Min Chen; Bennett A. Landman; Adam W. Anderson (Image Processing, 2016)

Comparison of 3D orientation distribution functions measured with confocal microscopy and diffusion MRI. - Kurt Schilling; Vaibhav A. Janve; Yurui Gao; Iwona Stepniewska; Bennett A. Landman; Adam W. Anderson (NeuroImage, 2016)

Gray Matter Surface Based Spatial Statistics (GS-BSS) in Diffusion Microstructure. - Prasanna Parvathaneni; Baxter P. Rogers; Yuankai Huo; Kurt Schilling; Allison E. Hainline; Adam W. Anderson; Neil D. Woodward; Bennett A. Landman (MICCAI (1), 2017)

Comparison of multi-fiber reproducibility of PAS-MRI and Q-ball with empirical multiple b-value HARDI. - Vishwesh Nath; Kurt G. Schilling; Justin A. Blaber; Zhaohua Ding; Adam W. Anderson; Bennett A. Landman (Image Processing, 2017)

Effects of b-value and number of gradient directions on diffusion MRI measures obtained with Q-ball imaging. - Kurt G. Schilling; Vishwesh Nath; Justin A. Blaber; Robert L. Harrigan; Zhaohua Ding; Adam W. Anderson; Bennett A. Landman (Image Processing, 2017)

The VALiDATe29 MRI Based Multi-Channel Atlas of the Squirrel Monkey Brain. - Kurt Schilling; Yurui Gao; Iwona Stepniewska; Tung-Lin Wu; Feng Wang 052; Bennett A. Landman; John C. Gore; Li Min Chen; Adam W. Anderson (Neuroinformatics, 2017)

Tests of clustering thalamic nuclei based on various dMRI models in the squirrel monkey brain. - Yurui Gao; Kurt G. Schilling; Iwona Stepniewska; Junzhong Xu; Bennett A. Landman; Benoit M. Dawant; Adam W. Anderson (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

SHARD: spherical harmonic-based robust outlier detection for HARDI methods. - Vishwesh Nath; Kurt G. Schilling; Allison E. Hainline; Prasanna Parvathaneni; Justin A. Blaber; Ilwoo Lyu; Adam W. Anderson; Hakmook Kang; Allen T. Newton; Baxter P. Rogers; Bennett A. Landman (Image Processing, 2018)

Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning. - Vishwesh Nath; Prasanna Parvathaneni; Colin B. Hansen; Allison E. Hainline; Camilo Bermudez; Samuel Remedios; Justin A. Blaber; Kurt G. Schilling; Ilwoo Lyu; Vaibhav A. Janve; Yurui Gao; Iwona Stepniewska; et al. (CoRR, 2018)

Tests of cortical parcellation based on white matter connectivity using diffusion tensor imaging. - Yurui Gao; Kurt G. Schilling; Iwona Stepniewska; Andrew J. Plassard; Ann S. Choe; Xia Li; Bennett A. Landman; Adam W. Anderson (NeuroImage, 2018)

Histological validation of diffusion MRI fiber orientation distributions and dispersion. - Kurt G. Schilling; Vaibhav A. Janve; Yurui Gao; Iwona Stepniewska; Bennett A. Landman; Adam W. Anderson (NeuroImage, 2018)

Learning 3D White Matter Microstructure from 2D Histology. - Vishwesh Nath; Kurt G. Schilling; Samuel Remedios; Roza G. Bayrak; Yurui Gao; Justin A. Blaber; Yuankai Huo; Bennett A. Landman; Adam W. Anderson (ISBI, 2019)

Quantitative assessment of dMRI-based dentate-rubro-thalamic tractography in squirrel monkey. - Yurui Gao; Kurt Schilling; Iwona Stepniewska; Guozhen Luo; Bennett A. Landman; Hong Yu 002; Daniel O. Claassen; Benoit M. Dawant; Adam W. Anderson (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Enabling Multi-shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE. - Vishwesh Nath; Ilwoo Lyu; Kurt G. Schilling; Prasanna Parvathaneni; Colin B. Hansen; Yuankai Huo; Vaibhav A. Janve; Yurui Gao; Iwona Stepniewska; Adam W. Anderson; Bennett A. Landman (MICCAI (3), 2019)

Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators. - Vishwesh Nath; Samuel Remedios; Prasanna Parvathaneni; Colin B. Hansen; Roza G. Bayrak; Camilo Bermudez; Justin A. Blaber; Kurt G. Schilling; Vaibhav A. Janve; Yurui Gao; Yuankai Huo; Ilwoo Lyu; et al. (Image Processing, 2019)

Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE. - Vishwesh Nath; Ilwoo Lyu; Kurt G. Schilling; Prasanna Parvathaneni; Colin B. Hansen; Yucheng Tang; Yuankai Huo; Vaibhav A. Janve; Yurui Gao; Iwona Stepniewska; Adam W. Anderson; Bennett A. Landman (CoRR, 2019)

Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution. - Vishwesh Nath; Kurt G. Schilling; Colin B. Hansen; Prasanna Parvathaneni; Allison E. Hainline; Camilo Bermudez; Andrew J. Plassard; Vaibhav A. Janve; Yurui Gao; Justin A. Blaber; Iwona Stepniewska; Adam W. Anderson; et al. (CoRR, 2019)

Diffusion MRI microstructural models in the cervical spinal cord - Application, normative values, and correlations with histological analysis. - Kurt G. Schilling; Samantha By; Haley R. Feiler; Bailey A. Box; Kristin P. O'Grady; Atlee A. Witt; Bennett A. Landman; Seth A. Smith (NeuroImage, 2019)

Limits to anatomical accuracy of diffusion tractography using modern approaches. - Kurt G. Schilling; Vishwesh Nath; Colin B. Hansen; Prasanna Parvathaneni; Justin A. Blaber; Yurui Gao; Peter Neher; Dogu Baran Aydogan; Yonggang Shi; Mario Ocampo-Pineda; Simona Schiavi; Alessandro Daducci; et al. (NeuroImage, 2019)

Resting-state white matter-cortical connectivity in non-human primate brain. - Tung-Lin Wu; Feng Wang 052; Muwei Li; Kurt G. Schilling; Yurui Gao; Adam W. Anderson; Li Min Chen; Zhaohua Ding; John C. Gore (NeuroImage, 2019)

A Web-Based Atlas Combining MRI and Histology of the Squirrel Monkey Brain. - Kurt G. Schilling; Yurui Gao; Matthew Christian; Vaibhav A. Janve; Iwona Stepniewska; Bennett A. Landman; Adam W. Anderson (Neuroinformatics, 2019)

MRI correlates of chronic symptoms in mild traumatic brain injury. - Cailey I. Kerley; Kurt G. Schilling; Justin A. Blaber; Beth Miller; Allen T. Newton; Adam W. Anderson; Bennett A. Landman; Tonia S. Rex (Image Processing, 2020)

Deep learning estimation of multi-tissue constrained spherical deconvolution with limited single shell DW-MRI. - Vishwesh Nath; Sudhir K. Pathak; Kurt G. Schilling; Walt Schneider; Bennett A. Landman (Image Processing, 2020)

Joint cortical surface and structural connectivity analysis of Alzheimer's disease. - Leon Y. Cai; Cailey I. Kerley; Chang Yu 008; Katherine S. Aboud; Lori L. Beason-Held; Andrea T. Shafer; Susan M. Resnick; Lori C. Jordan; Adam W. Anderson; Kurt G. Schilling; Ilwoo Lyu; Bennett A. Landman (Image Processing, 2021)

Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury. - Cailey I. Kerley; Leon Y. Cai; Chang Yu 008; Logan M. Crawford; Jason M. Elenberger; Eden S. Singh; Kurt G. Schilling; Katherine S. Aboud; Bennett A. Landman; Tonia S. Rex (Image Processing, 2021)

On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge. - Alberto De Luca; Andrada Ianus; Alexander Leemans; Marco Palombo; Noam Shemesh; Hui Zhang 005; Daniel C. Alexander; Markus Nilsson; Martijn Froeling; Geert Jan Biessels; Mauro Zucchelli; Matteo Frigo; et al. (NeuroImage, 2021)

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? - Kurt G. Schilling; François Rheault; Laurent Petit; Colin B. Hansen; Vishwesh Nath; Fang-Cheng Yeh; Gabriel Girard; Muhamed Barakovic; Jonathan Rafael-Patino; Thomas Yu; Elda Fischi Gomez; Marco Pizzolato; et al. (NeuroImage, 2021)

Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization, and bundle segmentation workflow. - Kurt G. Schilling; Chantal M. W. Tax; Francois Rheault; Colin B. Hansen; Qi Yang 004; Fang-Cheng Yeh; Leon Y. Cai; Adam W. Anderson; Bennett A. Landman (NeuroImage, 2021)

Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography. - Colin B. Hansen; Qi Yang 004; Ilwoo Lyu; Francois Rheault; Cailey I. Kerley; Bramsh Qamar Chandio; Shreyas Fadnavis; Owen A. Williams; Andrea T. Shafer; Susan M. Resnick; David H. Zald; Laurie E. Cutting; et al. (Neuroinformatics, 2021)

Joint independent component analysis for hypothesizing spatiotemporal relationships between longitudinal gray and white matter changes in preclinical Alzheimer's disease. - Leon Y. Cai; Francois Rheault; Cailey I. Kerley; Katherine S. Aboud; Lori L. Beason-Held; Andrea T. Shafer; Susan M. Resnick; Lori C. Jordan; Adam W. Anderson; Kurt G. Schilling; Bennett A. Landman (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)

Mapping pediatric spinal cord development with age. - Ashwin Kumar; Simon N. Vandekar; Kurt Schilling; Aashim Bhatia; Bennett A. Landman; Seth A. Smith (Image Processing, 2022)

Longitudinal changes of connectomes and graph theory measures in aging. - Yuzhe Wang; Francois Rheault; Kurt G. Schilling; Lori L. Beason-Held; Andrea T. Shafer; Susan M. Resnick; Bennett A. Landman (Image Processing, 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)

Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. - Chiara Maffei; Gabriel Girard; Kurt G. Schilling; Dogu Baran Aydogan; Nagesh Adluru; Andrey Zhylka; Ye Wu 001; Matteo Mancini; Andac Hamamci; Alessia Sarica; Achille Teillac; Steven H. Baete; et al. (NeuroImage, 2022)

An atlas of white matter anatomy, its variability, and reproducibility based on constrained spherical deconvolution of diffusion MRI. - Ahmed M. Radwan; Stefan Sunaert; Kurt Schilling; Maxime Descoteaux; Bennett A. Landman; Mathieu Vandenbulcke; Tom Theys; Patrick Dupont; Louise Emsell (NeuroImage, 2022)

Detection of functional activity in brain white matter using fiber architecture informed synchrony mapping. - Yu Zhao; Yurui Gao; Zhongliang Zu; Muwei Li; Kurt G. Schilling; Adam W. Anderson; Zhaohua Ding; John C. Gore (NeuroImage, 2022)

BundleSeg: A Versatile, Reliable and Reproducible Approach to White Matter Bundle Segmentation. - Etienne St-Onge; Kurt G. Schilling; Francois Rheault (CDMRI@MICCAI, 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 (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)

Harmonization of repetition time and scanner effects on estimates of brain hemodynamic response function. - Lucie Dole; Kurt G. Schilling; Hakmook Kang; John C. Gore; Bennett A. Landman (Image Processing, 2023)

Automatic preprocessing pipeline for white matter functional analyses of large-scale databases. - Yurui Gao; Dylan R. Lawless; Muwei Li; Yu Zhao; Kurt G. Schilling; Lyuan Xu; Andrea T. Shafer; Lori L. Beason-Held; Susan M. Resnick; Baxter P. Rogers; Zhaohua Ding; Adam W. Anderson; et al. (Image Processing, 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)

Comparing voxel- and feature-wise harmonization of complex graph measures from multiple sites for structural brain network investigation of aging. - Nancy R. Newlin; Leon Y. Cai; Tianyuan Yao; Derek B. Archer; Kurt G. Schilling; Timothy J. Hohman; Kimberly R. Pechman; Angela L. Jefferson; Andrea T. Shafer; Susan M. Resnick; Bennett A. Landman (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)

SynBOLD-DisCo: synthetic BOLD images for distortion correction of fMRI without additional calibration scans. - Tian Yu; Leon Y. Cai; Victoria L. Morgan; Sarah E. Goodale; Dario J. Englot; Catherine E. Chang; Bennett A. Landman; Kurt G. Schilling (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)

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)

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)

Denoising of diffusion MRI in the cervical spinal cord - effects of denoising strategy and acquisition on intra-cord contrast, signal modeling, and feature conspicuity. - Kurt G. Schilling; Shreyas Fadnavis; Joshua Batson; Mereze Visagie; Anna J. E. Combes; Samantha By; Colin D. Mcknight; Francesca Bagnato; Eleftherios Garyfallidis; Bennett A. Landman; Seth A. Smith; Kristin P. O'Grady (NeuroImage, 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)

Functional alterations in bipartite network of white and grey matters during aging. - Yurui Gao; Yu Zhao; Muwei Li; Richard D. Lawless; Kurt G. Schilling; Lyuan Xu; Andrea T. Shafer; Lori L. Beason-Held; Susan M. Resnick; Baxter P. Rogers; Zhaohua Ding; Adam W. Anderson; et al. (NeuroImage, 2023)

bids-specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 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)

White matter engagement in brain networks assessed by integration of functional and structural connectivity. - Muwei Li; Kurt G. Schilling; Lyuan Xu; Soyoung Choi; Yurui Gao; Zhongliang Zu; Adam W. Anderson; Zhaohua Ding; John C. Gore (NeuroImage, 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)

The Brain Imaging Data Structure (BIDS) Specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2024)

Measuring Impact of Super-Resolution on Spinal Cord MRI Scans: Lesion Detection Sensitivity, Variability, and Clinical Impact. - Greyson A. Wintergerst; Samuel W. Remedios; Allen T. Newton; Seth A. Smith; Bennett A. Landman; Kurt G. Schilling (ISBI, 2025)

Transformer-Based T1-Tractography. - Jongyeon Yoon; Mingxing Rao; Elyssa M. McMaster; Chloe Cho; Nancy R. Newlin; Kurt G. Schilling; Bennett A. Landman; Daniel Moyer (ISBI, 2025)

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)

ECLARE: Efficient cross-planar learning for anisotropic resolution enhancement. - Samuel W. Remedios; Shuwen Wei; Shuo Han 001; Jinwei Zhang; Aaron Carass; Kurt G. Schilling; Dzung L. Pham; Jerry L. Prince; Blake E. Dewey (CoRR, 2025)

Robust Containerization of the High Angular Resolution Functional Imaging (HARFI) Pipeline. - Zhiyuan Li 012; Kurt G. Schilling; Bennett A. Landman (CoRR, 2025)