| Quantification of MR spectra by deep learning in an idealized setting: Investigation of forms of input, network architectures, optimization by ensembles of networks, and … R Rizzo, M Dziadosz, SP Kyathanahally, A Shamaei, R Kreis Magnetic resonance in medicine 89 (5), 1707-1727, 2023 | 12 | 2023 |
| Non-parallellism of needles in electroporation: 3D computational model and experimental analysis LG Campana, P Di Barba, F Dughiero, M Forzan, ME Mognaschi, R Rizzo, ... COMPEL-The international journal for computation and mathematics in …, 2019 | 11 | 2019 |
| Denoising single MR spectra by deep learning: Miracle or mirage? M Dziadosz, R Rizzo, SP Kyathanahally, R Kreis Magnetic resonance in medicine 90 (5), 1749-1761, 2023 | 10 | 2023 |
| Reliability of Quantification Estimates in MR Spectroscopy: CNNs vs Traditional Model Fitting R Rizzo, M Dziadosz, SP Kyathanahally, M Reyes, R Kreis Lecture Notes in Computer Science 13438, 715–724, 2022 | 7 | 2022 |
| Multi‐echo single‐shot spectroscopy combined with simultaneous 2D model fitting for fast and accurate measurement of metabolite‐specific concentrations and T2 relaxation times R Rizzo, R Kreis NMR in Biomedicine 36 (12), e5016, 2023 | 3 | 2023 |
| Accounting for bias in estimated metabolite concentrations from cohort studies as caused by limiting the fitting parameter space R Rizzo, R Kreis International Society for Magnetic Resonance in Medicine, 2021 | 2 | 2021 |
| Denoising 1H MR spectra in a time-frequency representation by deep learning M Dziadosz, R Rizzo, SP Kyathanahally, R Kreis Magn Reson Mater Phy 34 (1), S175, 2021 | 2 | 2021 |
| Analysis of the effect of not-parallel needles in electroporation LG Campana, F Dughiero, M Forzan, R Rizzo, E Sieni 2016 IEEE Conference on Electromagnetic Field Computation (CEFC), 1-1, 2016 | 2 | 2016 |
| Multi-Parametric Single-Shot Magnetic Resonance Spectroscopy for Fast Metabolite-Specific Concentration and T2 Determination R Rizzo, R Kreis International Society for Magnetic Resonance in Medicine 311, 2022 | 1 | 2022 |
| Uncertainties and bias in quantification by deep learning in magnetic resonance spectroscopy R Rizzo, M Dziadosz, SP Kyathanahally, R Kreis Proceedings of the Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual …, 2022 | 1 | 2022 |
| Potential benefits from Multi-Echo Single-Shot Spectroscopy with a combined fitting process R Rizzo, R Kreis ISMRM & SMRT Virtual Conference & Exhibition, 08-14, 2020 | 1 | 2020 |
| Diffusion‐weighted MR spectroscopy of the prostate A Stamatelatou, R Rizzo, K Simsek, JJA van Asten, A Heerschap, ... Magnetic resonance in medicine, 2024 | | 2024 |
| Water removal in MR spectroscopic imaging with Casorati singular value decomposition A Shamaei, J Starcukova, R Rizzo, Z Starcuk Jr Magnetic resonance in medicine 91 (4), 1694-1706, 2024 | | 2024 |
| T1 and T2 measurements across multiple 0.55 T MRI systems using open‐source vendor‐neutral sequences KE Keenan, B Tasdelen, A Javed, R Ramasawmy, R Rizzo, MN Martin, ... Magnetic Resonance in Medicine, 2024 | | 2024 |
| Uncertainties in metabolite quantitation: CNN vs. traditional fitting R Rizzo, M Dziadosz, R Kyathanahally, Sreenath P., Kreis Magn Reson Mater Phy 34 (1), S177, 2021 | | 2021 |
| Modeling fixational eye movement for the vision prosthesis R Rizzo, JM Seo 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | | 2019 |
| Physics-Informed Deep Learning Approach to Quantifying Magnetic Resonance Spectroscopy Data with Simultaneous Uncertainty Estimation A Shamaei, R Rizzo | | |
| Initial exploration of the potential of diffusion-weighted MRS for the evaluation of prostate pathology R Rizzo, A Stamatelatou, K Simsek, JJA Van Asten, R Kreis, A Heerschap, ... | | |
| Simultaneous concentration and T 2 mapping of brain metabolites by multi-echo spectroscopic imaging R Rizzo, A Stamatelatou, A Heerschap, T Scheenen, R Kreis | | |
| Denoising MR spectra by deep learning: miracle or mirage? M Dziadosz, R Rizzo, SP Kyathanahally, R Kreis | | |
Roland KreisUniversity Bern在 insel.ch 的电子邮件经过验证
