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Matthew S. Rosen
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2020 – today
- 2025
- [i10]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:
Reference-Free 3D Reconstruction of Brain Dissection Photographs with Machine Learning. CoRR abs/2503.09963 (2025) - 2024
- [j5]Danyal F. Bhutto
, Bo Zhu
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction Using the Local Lipschitz. IEEE J. Biomed. Health Informatics 28(9): 5422-5434 (2024) - [c3]Aryan Kalluvila, Matthew S. Rosen:
3T to 7T Whole Brain + Skull MRI Translation with Densely Engineered U-Net Network. AIME (2) 2024: 3-8 - [c2]Pablo Laso
Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI. ISBI 2024: 1-5 - [c1]Hongwei Bran Li
Resolution- and Stimulus-Agnostic Super-Resolution of Ultra-High-Field Functional MRI: Application to Visual Studies. ISBI 2024: 1-5 - [i9]Hongwei Bran Li, Cheng Ouyang, Tamaz Amiranashvili, Matthew S. Rosen, Bjoern H. Menze, Juan Eugenio Iglesias:
Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere. CoRR abs/2405.16460 (2024) - 2023
- [i8]Danyal F. Bhutto, Bo Zhu, Jeremiah Z. Liu, Neha Koonjoo, Bruce R. Rosen, Matthew S. Rosen:
Uncertainty Estimation for Deep Learning Image Reconstruction using a Local Lipschitz Metric. CoRR abs/2305.07618 (2023) - [i7]Hongwei Bran Li, Matthew S. Rosen, Shahin Nasr, Juan Eugenio Iglesias:
Resolution- and Stimulus-agnostic Super-Resolution of Ultra-High-Field Functional MRI: Application to Visual Studies. CoRR abs/2311.14918 (2023) - [i6]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
Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI. CoRR abs/2312.05119 (2023) - 2022
- [j4]Jiasheng Su
A CNN Based Software Gradiometer for Electromagnetic Background Noise Reduction in Low Field MRI Applications. IEEE Trans. Medical Imaging 41(5): 1007-1016 (2022) - [i5]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:
Accurate super-resolution low-field brain MRI. CoRR abs/2202.03564 (2022) - [i4]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:
On Real-time Image Reconstruction with Neural Networks for MRI-guided Radiotherapy. CoRR abs/2202.05267 (2022) - [i3]Aryan Kalluvila, Neha Koonjoo, Danyal Bhutto, Marcio Rockenbach, Matthew S. Rosen:
Synthetic Low-Field MRI Super-Resolution Via Nested U-Net Architecture. CoRR abs/2211.15047 (2022) - 2021
- [j3]Bragi Sveinsson
ARmedViewer, an augmented-reality-based fast 3D reslicer for medical image data on mobile devices: A feasibility study. Comput. Methods Programs Biomed. 200: 105836 (2021) - [j2]Sheng Shen
Optimization of a Close-Fitting Volume RF Coil for Brain Imaging at 6.5 mT Using Linear Programming. IEEE Trans. Biomed. Eng. 68(4): 1106-1114 (2021)
2010 – 2019
- 2018
- [j1]Bo Zhu, Jeremiah Z. Liu, Stephen F. Cauley, Bruce R. Rosen, Matthew S. Rosen
Image reconstruction by domain-transform manifold learning. Nat. 555(7697): 487-492 (2018) - 2017
- [i2]Bo Zhu, Jeremiah Z. Liu, Bruce R. Rosen, Matthew S. Rosen:
Image reconstruction by domain transform manifold learning. CoRR abs/1704.08841 (2017) - [i1]Ouri Cohen, Bo Zhu, Matthew S. Rosen:
Deep Learning for Rapid Sparse MR Fingerprinting Reconstruction. CoRR abs/1710.05267 (2017)
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