| Rapid three-dimensional multiparametric MRI with quantitative transient-state imaging PA Gómez, M Cencini, M Golbabaee, RF Schulte, C Pirkl, I Horvath, ... Scientific reports 10 (1), 13769, 2020 | 59 | 2020 |
| Retrospective rigid motion correction of three‐dimensional magnetic resonance fingerprinting of the human brain JW Kurzawski, M Cencini, L Peretti, PA Gómez, RF Schulte, G Donatelli, ... Magnetic Resonance in Medicine 84 (5), 2606-2615, 2020 | 33 | 2020 |
| Learning residual motion correction for fast and robust 3D multiparametric MRI CM Pirkl, M Cencini, JW Kurzawski, D Waldmannstetter, H Li, ... Medical Image Analysis 77, 102387, 2022 | 9 | 2022 |
| Quantitative T1 mapping detects blood–brain barrier breakdown in apparently non-enhancing multiple sclerosis lesions G Donatelli, P Cecchi, G Migaleddu, M Cencini, P Frumento, C D'Amelio, ... NeuroImage: Clinical 40, 103509, 2023 | 6 | 2023 |
| Generating Synthetic Radiological Images with PySynthMRI: An Open-Source Cross-Platform Tool L Peretti, G Donatelli, M Cencini, P Cecchi, G Buonincontri, M Cosottini, ... Tomography 9 (5), 1723-1733, 2023 | 5 | 2023 |
| Fast high-resolution Electric Properties Mapping using three-dimensional MR Fingerprinting based water fraction estimation (MRFEPT) M Cencini, M Lancione, L Biagi, R Pasquariello, L Peretti, C Pirki, ... Proc Int Soc Magn Reson Med 567, 744-750, 2022 | 3 | 2022 |
| Fast high‐resolution electric properties tomography using three‐dimensional quantitative transient‐state imaging‐based water fraction estimation M Cencini, M Lancione, R Pasquariello, L Peretti, CM Pirkl, RF Schulte, ... NMR in Biomedicine 37 (1), e5039, 2024 | 2 | 2024 |
| PySynthMRI: an open-source python tool for synthetic MRI L Peretti, M Cencini, P Cecchi, MC Graziella Donatelli, M Tosetti Proceedings of the 31st Annual Meeting of ISMRM, 2022 | 1 | 2022 |
| Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping C Pirkl, M Cencini, JW Kurzawski, D Waldmannstetter, H Li, A Sekuboyina, ... Medical Imaging with Deep Learning, 2021 | 1 | 2021 |
| Pattern-Matching Unit for Medical Applications O Leombruni, A Annovi, P Giannetti, NV Biesuz, C Roda, M Calvetti, ... IEEE Transactions on Nuclear Science 68 (8), 2140-2145, 2021 | 1 | 2021 |
| Detection of pathological contrast enhancement with synthetic brain imaging from quantitative multiparametric MRI G Donatelli, G Migaleddu, M Cencini, P Cecchi, C D'Amelio, L Peretti, ... Journal of Neuroimaging, 2024 | | 2024 |
| Pathological contrast enhancement in different brain diseases in synthetic T1-weigthed images derived from 3D quantitative transient-state imaging (QTI) G Donatelli, G Migaleddu, M Cencini, P Cecchi, L Peretti, C D’Amelio, ... Proceedings of the Annual Meeting of the International Society of Magnetic …, 2023 | | 2023 |
| Fast high-resolution Electric Properties Mapping using 3D MR Fingerprinting based water fraction estimation (MRF-EPT) M Cencini, M Lancione, L Biagi, R Pasquariello, L Peretti, CM Pirkl, ... Book of abstracts, 2022 | | 2022 |
| Effects of spatial encoding strategies on 2D and 3D magnetic resonance fingerprinting M Cencini, PA Gómez, M Golbabaee, RF Schulte, G Fallo, L Peretti, ... Magnetic Resonance in Medicine, 2020 | | 2020 |
| qMRpy: a cross-platform, extensible and easy-to-use open-source Python toolbox for efficient estimation of quantitative MR properties M Cencini, M Lancione, L Peretti, M Tosetti | | |
| Efficient Non-Uniform Fourier Transform with embedded low-rank projection for fast model-based MRI reconstruction M Cencini, L Peretti, M Tosetti | | |
| Magnetic Resonance Fingerprinting enables measuring T1-shortening in multiple sclerosis lesions after contrast media administration G Donatelli, P Cecchi, G Migaleddu, M Cencini, C D'Amelio, ... | | |
| Retrospective motion correction of three-dimensional Magnetic Resonance Fingerprinting (MRF) JW Kurzawski, M Cencini, L Peretti, PA Gomez, R Schulte, G Donatelli, ... | | |
