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Matthew S. Rosen
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2020 – today
- 2024
- [c1]Aryan Kalluvila, Matthew S. Rosen:
3T to 7T Whole Brain + Skull MRI Translation with Densely Engineered U-Net Network. AIME (2) 2024: 3-8 - [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
, Arman Eshaghi, Frederik Barkhof, W. Taylor Kimberly, Juan Eugenio Iglesias:
Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI. CoRR abs/2312.05119 (2023) - 2022
- [j4]Jiasheng Su
, Ruben Pellicer-Guridi
, Thomas Edwards, Miguel Fuentes, Matthew S. Rosen
, Viktor Vegh
, David C. Reutens
:
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
, Neha Koonjoo
, Matthew S. Rosen
:
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
, Zheng Xu
, Neha Koonjoo
, Matthew S. Rosen
:
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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last updated on 2024-08-08 20:12 CEST by the dblp team
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