Image reconstruction by domain transform manifold learning. - Bo Zhu 004; Jeremiah Z. Liu; Bruce R. Rosen; Matthew S. Rosen (CoRR, 2017)

Deep Learning for Rapid Sparse MR Fingerprinting Reconstruction. - Ouri Cohen; Bo Zhu 004; Matthew S. Rosen (CoRR, 2017)

Image reconstruction by domain-transform manifold learning. - Bo Zhu 004; Jeremiah Z. Liu; Stephen F. Cauley; Bruce R. Rosen; Matthew S. Rosen (Nat., 2018)

ARmedViewer, an augmented-reality-based fast 3D reslicer for medical image data on mobile devices: A feasibility study. - Bragi Sveinsson; Neha Koonjoo; Matthew S. Rosen (Comput. Methods Programs Biomed., 2021)

Optimization of a Close-Fitting Volume RF Coil for Brain Imaging at 6.5 mT Using Linear Programming. - Sheng Shen 009; Zheng Xu 007; Neha Koonjoo; Matthew S. Rosen (IEEE Trans. Biomed. Eng., 2021)

Accurate super-resolution low-field brain MRI. - Juan Eugenio Iglesias; Riana Schleicher; Sonia Laguna; Benjamin Billot; Pamela Schaefer; Brenna McKaig; Joshua N. Goldstein; Kevin N. Sheth; Matthew S. Rosen; W. Taylor Kimberly (CoRR, 2022)

On Real-time Image Reconstruction with Neural Networks for MRI-guided Radiotherapy. - David E. J. Waddington; Nicholas Hindley; Neha Koonjoo; Christopher Chiu; Tess Reynolds; Paul Z. Y. Liu; Bo Zhu 004; Danyal Bhutto; Chiara Paganelli; Paul J. Keall; Matthew S. Rosen (CoRR, 2022)

Synthetic Low-Field MRI Super-Resolution Via Nested U-Net Architecture. - Aryan Kalluvila; Neha Koonjoo; Danyal Bhutto; Marcio Rockenbach; Matthew S. Rosen (CoRR, 2022)

A CNN Based Software Gradiometer for Electromagnetic Background Noise Reduction in Low Field MRI Applications. - Jiasheng Su; Ruben Pellicer-Guridi; Thomas Edwards; Miguel Fuentes; Matthew S. Rosen; Viktor Vegh; David C. Reutens (IEEE Trans. Medical Imaging, 2022)

Uncertainty Estimation for Deep Learning Image Reconstruction using a Local Lipschitz Metric. - Danyal F. Bhutto; Bo Zhu 004; Jeremiah Z. Liu; Neha Koonjoo; Bruce R. Rosen; Matthew S. Rosen (CoRR, 2023)

3T to 7T Whole Brain + Skull MRI Translation with Densely Engineered U-Net Network. - Aryan Kalluvila; Matthew S. Rosen (AIME (2), 2024)

Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI. - Pablo Laso; Stefano Cerri; Annabel Sorby-Adams; Jennifer Guo; Farrah Mateen; Philipp Goebl; Jiaming Wu; Peirong Liu; Hongwei Bran Li; Sean I. Young; Benjamin Billot; Oula Puonti; et al. (ISBI, 2024)

Resolution- and Stimulus-Agnostic Super-Resolution of Ultra-High-Field Functional MRI: Application to Visual Studies. - Hongwei Bran Li; Matthew S. Rosen; Shahin Nasr; Juan Eugenio Iglesias (ISBI, 2024)

Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere. - Hongwei Bran Li; Cheng Ouyang; Tamaz Amiranashvili; Matthew S. Rosen; Bjoern H. Menze; Juan Eugenio Iglesias (CoRR, 2024)

Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction Using the Local Lipschitz. - Danyal F. Bhutto; Bo Zhu 011; Jeremiah Z. Liu; Neha Koonjoo; Hongwei Bran Li; Bruce R. Rosen; Matthew S. Rosen (IEEE J. Biomed. Health Informatics, 2024)

Zero-Field NMR and Millitesla-SLIC Spectra for >200 Molecules from Density Functional Theory and Spin Dynamics. - Iuliia Mandzhieva; Franziska Theiss; Xingtao He; Adam Ortmeier; Anuja Koirala; Stephen J. McBride; Stephen J. Devience; Matthew S. Rosen; Volker Blum; Thomas Theis (J. Chem. Inf. Model., 2025)

Reference-Free 3D Reconstruction of Brain Dissection Photographs with Machine Learning. - Lin Tian; Sean I. Young; Jonathan Williams Ramirez; Dina Zemlyanker; Lucas J. Deden-Binder; Rogeny Herisse; Theresa R. Connors; Derek H. Oakley; Bradley T. Hyman; Oula Puonti; Matthew S. Rosen; Juan Eugenio Iglesias (CoRR, 2025)

Deep learning of personalized priors from past MRI scans enables fast, quality-enhanced point-of-care MRI with low-cost systems. - Tal Oved; Beatrice Lena; Chloé Najac; Sheng Shen 009; Matthew S. Rosen; Andrew Webb; Efrat Shimron (CoRR, 2025)

From Low Field to High Value: Robust Cortical Mapping from Low-Field MRI. - Karthik Gopinath; Annabel Sorby-Adams; Jonathan Williams Ramirez; Dina Zemlyanker; Jennifer Guo; David Hunt; Christine L. Mac Donald; C. Dirk Keene; Timothy S. Coalson; Matthew F. Glasser; David C. Van Essen; Matthew S. Rosen; et al. (CoRR, 2025)

Breast Coil Optimization for Low Field MRI and Future MR-Guided Proton Therapy. - Torben P. P. Hornung; Neha Koonjoo; Sheng Shen 009; Friderike K. Longarino; Kathryn E. Keenan; Susu Yan; Thomas Bortfeld; Matthew S. Rosen (IEEE Trans. Biomed. Eng., 2025)