Matthew S. Rosen

According to our database, Matthew S. Rosen authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction Using the Local Lipschitz.

Danyal F. Bhutto, Bo Zhu, Jeremiah Z. Liu, Neha Koonjoo, Hongwei Bran Li, Bruce R. Rosen, Matthew S. Rosen

IEEE J. Biomed. Health Informatics, September, 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

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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 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, 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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

3T to 7T Whole Brain + Skull MRI Translation with Densely Engineered U-Net Network.

Aryan Kalluvila, Matthew S. Rosen

Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

2023

Uncertainty Estimation for Deep Learning Image Reconstruction using a Local Lipschitz Metric.

Danyal F. Bhutto, Bo Zhu, Jeremiah Z. Liu, Neha Koonjoo, Bruce R. Rosen, Matthew S. Rosen

CoRR, 2023

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

Synthetic Low-Field MRI Super-Resolution Via Nested U-Net Architecture.

Aryan Kalluvila, Neha Koonjoo, Danyal Bhutto, Marcio Rockenbach, Matthew S. Rosen

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, Danyal Bhutto, Chiara Paganelli, Paul J. Keall, Matthew S. Rosen

CoRR, 2022

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

2021

Optimization of a Close-Fitting Volume RF Coil for Brain Imaging at 6.5 mT Using Linear Programming.

Sheng Shen, Zheng Xu, Neha Koonjoo, Matthew S. Rosen

IEEE Trans. Biomed. Eng., 2021

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

2018

Image reconstruction by domain-transform manifold learning.

Bo Zhu, Jeremiah Z. Liu, Stephen F. Cauley, Bruce R. Rosen, Matthew S. Rosen

Nat., 2018

2017

Deep Learning for Rapid Sparse MR Fingerprinting Reconstruction.

Ouri Cohen, Bo Zhu, Matthew S. Rosen

CoRR, 2017

Image reconstruction by domain transform manifold learning.

Bo Zhu, Jeremiah Z. Liu, Bruce R. Rosen, Matthew S. Rosen

CoRR, 2017