| Superconducting magnet designs and MRI accessibility: a review M Manso Jimeno, JT Vaughan, S Geethanath NMR in Biomedicine, 2023 | 22 | 2023 |
| ArtifactID: Identifying artifacts in low-field MRI of the brain using deep learning M Manso Jimeno, KS Ravi, Z Jin, D Oyekunle, G Ogbole, S Geethanath Magnetic resonance imaging 89, 42-48, 2022 | 22 | 2022 |
| Developing and deploying deep learning models in brain magnetic resonance imaging: A review K Aggarwal, M Manso Jimeno, KS Ravi, G Gonzalez, S Geethanath NMR in Biomedicine 36 (12), e5014, 2023 | 12 | 2023 |
| Virtual scanner: MRI on a browser G Tong, S Geethanath, M Manso Jimeno, E Qian, KS Ravi, N Girish, ... Journal of open source software 4 (43), 1637, 2019 | 4 | 2019 |
| Accelerated MRI using intelligent protocolling and subject-specific denoising applied to Alzheimer's disease imaging KS Ravi, G Nandakumar, N Thomas, M Lim, E Qian, MM Jimeno, P Poojar, ... Frontiers in Neuroimaging 2, 1072759, 2023 | 3 | 2023 |
| Off-resonance CorrecTion OPen soUrce Software (OCTOPUS) M Manso Jimeno, JT Vaughan Jr, S Geethanath Journal of Open-Source Software (JOSS) 6 (59), 2578, 2021 | 3* | 2021 |
| Cross-vendor implementation of a Stack-of-spirals PRESTO BOLD fMRI sequence using TOPPE and Pulseq M Manso Jimeno, S Geethanath, JF Nielsen, DC Noll International Society of Magnetic Resonance in Medicine (ISMRM), 2020 | 2* | 2020 |
| Inline artifact identification using segmented acquisitions and deep learning KS Ravi, M Manso Jimeno, JT Vaughan, S Geethanath International Society of Magnetic Resonance in Medicine (ISMRM), 2022 | 1 | 2022 |
| ArtifactID: identifying artifacts in low field MRI using deep learning M Manso Jimeno, KS Ravi, JT Vaughan Jr, D Oyekunle, G Ogbole, ... Proc. 2021 ISMRM SMRT Virtual Conf. Exhib, 2021 | 1 | 2021 |
| Repeatability of image quality in very low‐field MRI P Poojar, IE Oiye, K Aggarwal, MM Jimeno, JT Vaughan, S Geethanath NMR in Biomedicine, e5198, 2024 | | 2024 |
| GDCNet: Calibrationless geometric distortion correction of echo planar imaging data using deep learning MM Jimeno, K Bachi, G Gardner, YL Hurd, JT Vaughan Jr, S Geethanath arXiv preprint arXiv:2402.18777, 2024 | | 2024 |
| GDCNet: Calibrationless geometric distortion correction of echo planar imaging data using deep learning M Manso Jimeno, K Bachi, G Gardner, YL Hurd, JT Vaughan Jr, ... arXiv e-prints, arXiv: 2402.18777, 2024 | | 2024 |
| Automated detection of motion artifacts in brain MR images using deep learning and explainable artificial intelligence M Manso Jimeno, K Sravan Ravi, M Fung, JT Vaughan Jr, S Geethanath arXiv e-prints, arXiv: 2402.08749, 2024 | | 2024 |
| Repeatability of image quality in very low field MRI P Poojar Kunal Aggarwal, M Manso Jimeno, S Geethanath arXiv e-prints, arXiv: 2304.07267, 2023 | | 2023 |
| 3DANCE VDS: Three-points Dixon golden Angle with off-resoNance CorrEction Variable Density Spiral M Manso Jimeno, S Geethanath, JT Vaughan Jr International Society of Magnetic Resonance in Medicine (ISMRM), 2020 | | 2020 |
| Open-source Python package for spiral off-resonance correction M Manso Jimeno, S Geethanath, JT Vaughan Jr International Society of Magnetic Resonance in Medicine (ISMRM), 2020 | | 2020 |
| Rapid Prototyping of Spiral Based Three-Points Dixon Acquisition and Reconstruction Using Pulseq M Manso Jimeno, S Geethanath, JT Vaughan International Society of Magnetic Resonance in Medicine (ISMRM), 2019 | | 2019 |
| Estimation of SAR and temperature maps using a three point variable density Golden angle spiral acquisition. M Manso Jimeno University of Groningen, 2018 | | 2018 |
| Tumor Texture Analysis in 18F-FDG PET/CT M Manso Jimeno Universidad Carlos III de Madrid, 2016 | | 2016 |
| Characterization of Tumor Heterogeneity by Texture Analysis in 18F-FDG PET images: A Pilot Study M Manso Jimeno, ME Martino, EA Rodriguez, LC Landaeta, JL Carreras, ... Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB), 181-184, 2016 | | 2016 |
Sairam GeethanathAssistant Professor, Johns Hopkins UniversityEmail được xác minh tại jhu.edu
