Matthew S. Rosen

23 papers Journal 20Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhanced Portable Ultra Low-Field Diffusion Tensor Imaging with Bayesian Artifact Correction and Deep Learning-Based Super-Resolution.
CoRR
Mark D. Olchanyi, Annabel Sorby-Adams, John Kirsch, Brian L. Edlow, Ava Farnan, Renfei Liu, Matthew S. Rosen, Emery N. Brown, W. Taylor Kimberly, Juan Eugenio Iglesias
2025 J jnl
Breast Coil Optimization for Low Field MRI and Future MR-Guided Proton Therapy.
IEEE Trans. Biomed. Eng.
Torben P. P. Hornung, Neha Koonjoo, Sheng Shen, Friderike K. Longarino, Kathryn E. Keenan, Susu Yan, Thomas Bortfeld, Matthew S. Rosen
2025 J jnl
Deep learning of personalized priors from past MRI scans enables fast, quality-enhanced point-of-care MRI with low-cost systems.
CoRR
Tal Oved, Beatrice Lena, Chloé Najac, Sheng Shen, Matthew S. Rosen, Andrew Webb, Efrat Shimron
2025 J jnl
From Low Field to High Value: Robust Cortical Mapping from Low-Field MRI.
CoRR
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, Oula Puonti, W. Taylor Kimberly, Juan Eugenio Iglesias
2025 J jnl
Reference-Free 3D Reconstruction of Brain Dissection Photographs with Machine Learning.
CoRR
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
2025 J jnl
Zero-Field NMR and Millitesla-SLIC Spectra for >200 Molecules from Density Functional Theory and Spin Dynamics.
J. Chem. Inf. Model.
Iuliia Mandzhieva, Franziska Theiss, Xingtao He, Adam Ortmeier, Anuja Koirala, Stephen J. McBride, Stephen J. Devience, Matthew S. Rosen, Volker Blum, Thomas Theis
2024 — conf
3T to 7T Whole Brain + Skull MRI Translation with Densely Engineered U-Net Network.
AIME (2)
Aryan Kalluvila, Matthew S. Rosen
2024 J jnl
Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere.
CoRR
Hongwei Bran Li, Cheng Ouyang, Tamaz Amiranashvili, Matthew S. Rosen, Bjoern H. Menze, Juan Eugenio Iglesias
2024 — conf
Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI.
ISBI
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, Gordon Sze, Sam Payabavash, Adam DeHavenon, Kevin N. Sheth, Matthew S. Rosen, John Kirsch, Nicola Strisciuglio, Jelmer M. Wolterink, Arman Eshaghi, Frederik Barkhof, W. Taylor Kimberly, Juan Eugenio Iglesias
2024 — conf
Resolution- and Stimulus-Agnostic Super-Resolution of Ultra-High-Field Functional MRI: Application to Visual Studies.
ISBI
Hongwei Bran Li, Matthew S. Rosen, Shahin Nasr, Juan Eugenio Iglesias
2024 J jnl
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction Using the Local Lipschitz.
IEEE J. Biomed. Health Informatics
Danyal F. Bhutto, Bo Zhu, Jeremiah Z. Liu, Neha Koonjoo, Hongwei Bran Li, Bruce R. Rosen, Matthew S. Rosen
2023 J jnl
Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI.
CoRR
Pablo Laso, Stefano Cerri, Annabel Sorby-Adams, Jennifer Guo, Farrah Mateen, Philipp Goebl, Jiaming Wu, Peirong Liu, Hongwei Li, Sean I. Young, Benjamin Billot, Oula Puonti, Gordon Sze, Sam Payabavash, Adam DeHavenon, Kevin N. Sheth, Matthew S. Rosen, John Kirsch, Nicola Strisciuglio, Jelmer M. Wolterink, Arman Eshaghi, Frederik Barkhof, W. Taylor Kimberly, Juan Eugenio Iglesias
2023 J jnl
Resolution- and Stimulus-agnostic Super-Resolution of Ultra-High-Field Functional MRI: Application to Visual Studies.
CoRR
Hongwei Bran Li, Matthew S. Rosen, Shahin Nasr, Juan Eugenio Iglesias
2023 J jnl
Uncertainty Estimation for Deep Learning Image Reconstruction using a Local Lipschitz Metric.
CoRR
Danyal F. Bhutto, Bo Zhu, Jeremiah Z. Liu, Neha Koonjoo, Bruce R. Rosen, Matthew S. Rosen
2022 J jnl
A CNN Based Software Gradiometer for Electromagnetic Background Noise Reduction in Low Field MRI Applications.
IEEE Trans. Medical Imaging
Jiasheng Su, Ruben Pellicer-Guridi, Thomas Edwards, Miguel Fuentes, Matthew S. Rosen, Viktor Vegh, David C. Reutens
2022 J jnl
Accurate super-resolution low-field brain MRI.
CoRR
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
2022 J jnl
On Real-time Image Reconstruction with Neural Networks for MRI-guided Radiotherapy.
CoRR
David E. J. Waddington, Nicholas Hindley, Neha Koonjoo, Christopher Chiu, Tess Reynolds, Paul Z. Y. Liu, Bo Zhu, Danyal Bhutto, Chiara Paganelli, Paul J. Keall, Matthew S. Rosen
2022 J jnl
Synthetic Low-Field MRI Super-Resolution Via Nested U-Net Architecture.
CoRR
Aryan Kalluvila, Neha Koonjoo, Danyal Bhutto, Marcio Rockenbach, Matthew S. Rosen
2021 J jnl
ARmedViewer, an augmented-reality-based fast 3D reslicer for medical image data on mobile devices: A feasibility study.
Comput. Methods Programs Biomed.
Bragi Sveinsson, Neha Koonjoo, Matthew S. Rosen
2021 J jnl
Optimization of a Close-Fitting Volume RF Coil for Brain Imaging at 6.5 mT Using Linear Programming.
IEEE Trans. Biomed. Eng.
Sheng Shen, Zheng Xu, Neha Koonjoo, Matthew S. Rosen
2018 J jnl
Image reconstruction by domain-transform manifold learning.
Nat.
Bo Zhu, Jeremiah Z. Liu, Stephen F. Cauley, Bruce R. Rosen, Matthew S. Rosen
2017 J jnl
Deep Learning for Rapid Sparse MR Fingerprinting Reconstruction.
CoRR
Ouri Cohen, Bo Zhu, Matthew S. Rosen
2017 J jnl
Image reconstruction by domain transform manifold learning.
CoRR
Bo Zhu, Jeremiah Z. Liu, Bruce R. Rosen, Matthew S. Rosen