| Year |
Citation |
Score |
| 2024 |
Bugler H, Berto R, Souza R, Harris AD. Frequency and phase correction of GABA-edited magnetic resonance spectroscopy using complex-valued convolutional neural networks. Magnetic Resonance Imaging. 111: 186-195. PMID 38744351 DOI: 10.1016/j.mri.2024.05.008 |
0.559 |
|
| 2024 |
Dubljevic N, Moore S, Lauzon ML, Souza R, Frayne R. Effect of MR head coil geometry on deep-learning-based MR image reconstruction. Magnetic Resonance in Medicine. PMID 38647191 DOI: 10.1002/mrm.30130 |
0.348 |
|
| 2024 |
Berto RP, Bugler H, Dias G, Oliveira M, Ueda L, Dertkigil S, Costa PDP, Rittner L, Merkofer JP, van de Sande DMJ, Amirrajab S, Drenthen GS, Veta M, Jansen JFA, Breeuwer M, ... ... Souza R, et al. Results of the 2023 ISBI challenge to reduce GABA-edited MRS acquisition time. Magma (New York, N.Y.). PMID 38613715 DOI: 10.1007/s10334-024-01156-9 |
0.58 |
|
| 2023 |
Harris AD, Amiri H, Bento M, Cohen R, Ching CRK, Cudalbu C, Dennis EL, Doose A, Ehrlich S, Kirov II, Mekle R, Oeltzschner G, Porges E, Souza R, Tam FI, et al. Harmonization of multi-scanner magnetic resonance spectroscopy: ENIGMA consortium task group considerations. Frontiers in Neurology. 13: 1045678. PMID 36686533 DOI: 10.3389/fneur.2022.1045678 |
0.659 |
|
| 2022 |
Saat P, Nogovitsyn N, Hassan MY, Ganaie MA, Souza R, Hemmati H. A domain adaptation benchmark for T1-weighted brain magnetic resonance image segmentation. Frontiers in Neuroinformatics. 16: 919779. PMID 36213544 DOI: 10.3389/fninf.2022.919779 |
0.449 |
|
| 2022 |
Jethi AK, Souza R, Ram K, Sivaprakasam M. Improving Fast MRI Reconstructions with Pretext Learning in Low-Data Regime. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2022: 2080-2083. PMID 36085855 DOI: 10.1109/EMBC48229.2022.9871369 |
0.362 |
|
| 2022 |
Beauferris Y, Teuwen J, Karkalousos D, Moriakov N, Caan M, Yiasemis G, Rodrigues L, Lopes A, Pedrini H, Rittner L, Dannecker M, Studenyak V, Gröger F, Vyas D, Faghih-Roohi S, ... ... Souza R, et al. Multi-Coil MRI Reconstruction Challenge-Assessing Brain MRI Reconstruction Models and Their Generalizability to Varying Coil Configurations. Frontiers in Neuroscience. 16: 919186. PMID 35873808 DOI: 10.3389/fnins.2022.919186 |
0.599 |
|
| 2022 |
Loos WS, Souza R, Andersen LB, Lebel RM, Frayne R. Extraction of a vascular function for a fully automated dynamic contrast-enhanced magnetic resonance brain image processing pipeline. Magnetic Resonance in Medicine. 87: 1561-1573. PMID 34708417 DOI: 10.1002/mrm.29054 |
0.604 |
|
| 2020 |
Souza R, Bento M, Nogovitsyn N, Chung KJ, Loos W, Lebel RM, Frayne R. Dual-domain cascade of U-nets for multi-channel magnetic resonance image reconstruction. Magnetic Resonance Imaging. PMID 32562744 DOI: 10.1016/J.Mri.2020.06.002 |
0.656 |
|
| 2019 |
Lucena O, Souza R, Rittner L, Frayne R, Lotufo R. Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks. Artificial Intelligence in Medicine. 98: 48-58. PMID 31521252 DOI: 10.1016/J.Artmed.2019.06.008 |
0.597 |
|
| 2019 |
Bento M, Souza R, Salluzzi M, Rittner L, Zhang Y, Frayne R. Automatic identification of atherosclerosis subjects in a heterogeneous MR brain imaging data set. Magnetic Resonance Imaging. PMID 31228556 DOI: 10.1016/J.Mri.2019.06.007 |
0.53 |
|
| 2017 |
Souza R, Lucena O, Garrafa J, Gobbi D, Saluzzi M, Appenzeller S, Rittner L, Frayne R, Lotufo R. An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement. Neuroimage. PMID 28807870 DOI: 10.1016/J.Neuroimage.2017.08.021 |
0.628 |
|
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