Multiparametric magnetic resonance imaging analysis of the corticospinal tract in multiple sclerosis. - Daniel S. Reich; Seth A. Smith; Kathleen M. Zackowski; Eliza M. Gordon-Lipkin; Craig K. Jones; Jonathan A. D. Farrell; Susumu Mori; Peter C. M. van Zijl; Peter A. Calabresi (NeuroImage, 2007)

Tract probability maps in stereotaxic spaces: Analyses of white matter anatomy and tract-specific quantification. - Kegang Hua; Jiangyang Zhang; Setsu Wakana; Hangyi Jiang; Xin Li 007; Daniel S. Reich; Peter A. Calabresi; James J. Pekar; Peter C. M. van Zijl; Susumu Mori (NeuroImage, 2008)

Automated Reconstruction of the Cerebral Cortex in Multiple Sclerosis Patients. - Navid Shiee; Pierre-Louis Bazin; Daniel S. Reich; Dzung L. Pham (ISBI, 2009)

Belief Propagation Based Segmentation of White Matter Tracts in DTI. - Pierre-Louis Bazin; John A. Bogovic; Daniel S. Reich; Jerry L. Prince; Dzung L. Pham (MICCAI (1), 2009)

Automated vs. conventional tractography in multiple sclerosis: Variability and correlation with disability. - Daniel S. Reich; Arzu Ozturk; Peter A. Calabresi; Susumu Mori (NeuroImage, 2010)

A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions. - Navid Shiee; Pierre-Louis Bazin; Arzu Ozturk; Daniel S. Reich; Peter A. Calabresi; Dzung L. Pham (NeuroImage, 2010)

Topology preserving automatic segmentation of the spinal cord in magnetic resonance images. - Min Chen 006; Aaron Carass; Jennifer L. Cuzzocreo; Pierre-Louis Bazin; Daniel S. Reich; Jerry L. Prince (ISBI, 2011)

Fiber tractogrophy and tract segmentation in multiple sclerosis lesions. - Navid Shiee; Pierre-Louis Bazin; Peter A. Calabresi; Daniel S. Reich; Dzung L. Pham (ISBI, 2011)

Direct segmentation of the major white matter tracts in diffusion tensor images. - Pierre-Louis Bazin; Chuyang Ye; John A. Bogovic; Navid Shiee; Daniel S. Reich; Jerry L. Prince; Dzung L. Pham (NeuroImage, 2011)

Penalized functional regression analysis of white-matter tract profiles in multiple sclerosis. - Jeff Goldsmith; Ciprian M. Crainiceanu; Brian S. Caffo; Daniel S. Reich (NeuroImage, 2011)

Population-wide principal component-based quantification of blood-brain-barrier dynamics in multiple sclerosis. - Russell T. Shinohara; Ciprian M. Crainiceanu; Brian S. Caffo; María Inés Gaitán; Daniel S. Reich (NeuroImage, 2011)

In vivo quantification of T2⁎ anisotropy in white matter fibers in marmoset monkeys. - Pascal Sati; Afonso C. Silva; Peter van Gelderen; María Inés Gaitán; Jillian E. Wohler; Steven Jacobson; Jeff H. Duyn; Daniel S. Reich (NeuroImage, 2012)

Intensity standardization of longitudinal images using 4D clustering. - Qing He; Navid Shiee; Daniel S. Reich; Peter A. Calabresi; Dzung L. Pham (ISBI, 2013)

Longitudinal intensity normalization in the presence of multiple sclerosis lesions. - Snehashis Roy; Aaron Carass; Navid Shiee; Dzung L. Pham; Peter A. Calabresi; Daniel S. Reich; Jerry L. Prince (ISBI, 2013)

Robust GM/WM Segmentation of the Spinal Cord with Iterative Non-local Statistical Fusion. - Andrew J. Asman; Seth A. Smith; Daniel S. Reich; Bennett A. Landman (MICCAI (1), 2013)

Voxel-wise displacement as independent features in classification of multiple sclerosis. - Min Chen 006; Aaron Carass; Daniel S. Reich; Peter A. Calabresi; Dzung L. Pham; Jerry L. Prince (Image Processing, 2013)

Information Criteria for Dynamic Contrast-Enhanced Magnetic Resonance Imaging. - Russell T. Shinohara; Ciprian S. Crainiceanu; Brian S. Caffo; Daniel S. Reich (PRNI, 2013)

Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view. - Min Chen 006; Aaron Carass; Jiwon Oh; Govind Nair; Dzung L. Pham; Daniel S. Reich; Jerry L. Prince (NeuroImage, 2013)

Bayesian scalar-on-image regression with application to association between intracranial DTI and cognitive outcomes. - Lei Huang; Jeff Goldsmith; Philip T. Reiss; Daniel S. Reich; Ciprian M. Crainiceanu (NeuroImage, 2013)

Micro-compartment specific T2⁎ relaxation in the brain. - Pascal Sati; Peter van Gelderen; Afonso C. Silva; Daniel S. Reich; Hellmut Merkle; Jacco A. de Zwart; Jeff H. Duyn (NeuroImage, 2013)

Example based lesion segmentation. - Snehashis Roy; Qing He; Aaron Carass; Amod Jog; Jennifer L. Cuzzocreo; Daniel S. Reich; Jerry L. Prince; Dzung L. Pham (Image Processing, 2014)

Groupwise multi-atlas segmentation of the spinal cord's internal structure. - Andrew J. Asman; Frederick W. Bryan; Seth A. Smith; Daniel S. Reich; Bennett A. Landman (Medical Image Anal., 2014)

Sub-millimeter imaging of brain-free water for rapid volume assessment in atrophic brains. - Katherine C. Gao; Govind Nair; Irene C. M. Cortese; Alan P. Koretsky; Daniel S. Reich (NeuroImage, 2014)

Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation. - Snehashis Roy; Qing He; Elizabeth M. Sweeney; Aaron Carass; Daniel S. Reich; Jerry L. Prince; Dzung L. Pham (IEEE J. Biomed. Health Informatics, 2015)

Statistical estimation of T1 relaxation times using conventional magnetic resonance imaging. - Amanda F. Mejia; Elizabeth M. Sweeney; Blake Dewey; Govind Nair; Pascal Sati; Colin Shea; Daniel S. Reich; Russell T. Shinohara (NeuroImage, 2016)

A Deep Learning Based Anti-aliasing Self Super-Resolution Algorithm for MRI. - Can Zhao 001; Aaron Carass; Blake E. Dewey; Jonghye Woo; Jiwon Oh; Peter A. Calabresi; Daniel S. Reich; Pascal Sati; Dzung L. Pham; Jerry L. Prince (MICCAI (1), 2018)

Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks. - Snehashis Roy; John A. Butman; Daniel S. Reich; Peter A. Calabresi; Dzung L. Pham (CoRR, 2018)

Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks. - Charley Gros; Benjamin De Leener; Atef Badji; Josefina Maranzano; Dominique Eden; Sara M. Dupont; Jason Talbott; Ren Zhuoquiong; Yaou Liu; Tobias Granberg; Russell Ouellette; Yasuhiko Tachibana; et al. (CoRR, 2018)

Impulse response timing differences in BOLD and CBV weighted fMRI. - Jacco A. de Zwart; Peter van Gelderen; Matthew Schindler; Pascal Sati; Jiaen Liu; Daniel S. Reich; Jeff H. Duyn (NeuroImage, 2018)

Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis. - Dzung L. Pham; Yi-Yu Chou; Blake E. Dewey; Daniel S. Reich; John A. Butman; Snehashis Roy (SASHIMI@MICCAI, 2020)

Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI. - Francesco La Rosa; Erin S. Beck; Ahmed Abdulkadir; Jean-Philippe Thiran; Daniel S. Reich; Pascal Sati; Meritxell Bach Cuadra (MICCAI (4), 2020)

Ex vivo MR microscopy of a human brain with multiple sclerosis: Visualizing individual cells in tissue using intrinsic iron. - Govind Nair; Stephen J. Dodd; Seung-Kwon Ha; Alan P. Koretsky; Daniel S. Reich (NeuroImage, 2020)

Intensity warping for multisite MRI harmonization. - Julia Wrobel; M. L. Martin; Rohit Bakshi; Peter A. Calabresi; M. Elliot; David R. Roalf; Ruben C. Gur; Raquel E. Gur; Roland G. Henry; Govind Nair; Jiwon Oh; Nico Papinutto; et al. (NeuroImage, 2020)

SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning. - Can Zhao 001; Blake E. Dewey; Dzung L. Pham; Peter A. Calabresi; Daniel S. Reich; Jerry L. Prince (IEEE Trans. Medical Imaging, 2021)

Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues. - Francesco La Rosa; Maxence Wynen; Omar Al-Louzi; Erin S. Beck; Till Huelnhagen; Pietro Maggi; Jean-Philippe Thiran; Tobias Kober; Russell T. Shinohara; Pascal Sati; Daniel S. Reich; Cristina Granziera; et al. (CoRR, 2022)

Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch? - Enamundram Naga Karthik; Anne Kerbrat; Pierre Labauge; Tobias Granberg; Jason Talbott; Daniel S. Reich; Massimo Filippi; Rohit Bakshi; Virginie Callot; Sarath Chandar; Julien Cohen-Adad (CoRR, 2022)

Effect of motion, cortical orientation and spatial resolution on quantitative imaging of cortical R2* and magnetic susceptibility at 0.3 mm in-plane resolution at 7 T. - Peter van Gelderen; Xu Li 003; Jacco A. de Zwart; Erin S. Beck; Serhat V. Okar; Yujia Huang; KuoWei Lai; Jeremias Sulam; Peter C. M. van Zijl; Daniel S. Reich; Jeff H. Duyn; Jiaen Liu (NeuroImage, 2023)

PARE: A framework for removal of confounding effects from any distance-based dimension reduction method. - Andrew A. Chen; Kelly Clark; Blake E. Dewey; Anna Duval; Nicole Pellegrini; Govind Nair; Youmna Jalkh; Samar Khalil; Jon Zurawski; Peter A. Calabresi; Daniel S. Reich; Rohit Bakshi; et al. (PLoS Comput. Biol., 2024)

Explainability of AI Uncertainty: Application to Multiple Sclerosis Lesion Segmentation on MRI. - Nataliia Molchanova; Pedro M. Gordaliza; Alessandro Cagol; Mario Ocampo-Pineda; Po-Jui Lu; Matthias Weigel; Xinjie Chen; Erin S. Beck; Haris Tsagkas; Daniel S. Reich; Anna Stölting; Pietro Maggi; et al. (CoRR, 2025)

Monitoring morphometric drift in lifelong learning segmentation of the spinal cord. - Enamundram Naga Karthik; Sandrine Bédard; Jan Valosek; Christoph S. Aigner; Elise Bannier; Josef Bednarík; Virginie Callot; Anna J. E. Combes; Armin Curt; Gergely Dávid; Falk Eippert; Lynn Farner; et al. (CoRR, 2025)

Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis. - Nataliia Molchanova; Alessandro Cagol; Mario Ocampo-Pineda; Po-Jui Lu; Matthias Weigel; Xinjie Chen; Erin S. Beck; Charidimos Tsagkas; Daniel S. Reich; Colin Vanden Bulcke; Anna Stölting; Serena Borrelli; et al. (CoRR, 2025)