| Fast multi‐component analysis using a joint sparsity constraint for MR fingerprinting M Nagtegaal, P Koken, T Amthor, M Doneva Magnetic resonance in medicine 83 (2), 521-534, 2020 | 35 | 2020 |
| Accelerated white matter lesion analysis based on simultaneous T1 and T2∗ quantification using magnetic resonance fingerprinting and deep learning I Hermann, E Martínez‐Heras, B Rieger, R Schmidt, AK Golla, JS Hong, ... Magnetic Resonance in Medicine 86 (1), 471-486, 2021 | 16 | 2021 |
| Myelin water imaging from multi-echo T2 MR relaxometry data using a joint sparsity constraint M Nagtegaal, P Koken, T Amthor, J de Bresser, B Mädler, F Vos, ... NeuroImage 219, 117014, 2020 | 15 | 2020 |
| Mitigating undersampling errors in MR fingerprinting by sequence optimization DGJ Heesterbeek, K Koolstra, MJP van Osch, MB van Gijzen, FM Vos, ... Magnetic Resonance in Medicine 89 (5), 2076-2087, 2023 | 7 | 2023 |
| Sequence optimisation for multi-component analysis in magnetic resonance fingerprinting D Heesterbeek, F Vos, M van Gijzen, M Nagtegaal Proc Intl Soc Mag Reson Med 29, 1561, 2021 | 5 | 2021 |
| Multicomponent MR fingerprinting reconstruction using joint‐sparsity and low‐rank constraints M Nagtegaal, E Hartsema, K Koolstra, F Vos Magnetic Resonance in Medicine 89 (1), 286-298, 2023 | 4 | 2023 |
| Accuracy and repeatability of joint sparsity multi-component estimation in MR Fingerprinting L Nunez-Gonzalez, MA Nagtegaal, DHJ Poot, J de Bresser, ... NeuroImage 263, 119638, 2022 | 3 | 2022 |
| A method for multi-component analysis on mri measurement data MI Doneva, MA Nagtegaal US Patent App. 17/606,062, 2022 | 1 | 2022 |
| Detection of small cerebral lesions using multi-component MR Fingerprinting with local joint sparsity MA Nagtegaal, I Hermann, SD Weingärtner, J de Bresser, FM Vos ISMRM (International Society for Magnetic Resonance and Medicine) Virtual …, 2020 | 1 | 2020 |
| White matter changes measured by multi-component MR Fingerprinting in multiple sclerosis MA Nagtegaal, I Hermann, S Weingärtner, E Martinez-Heras, E Solana, ... NeuroImage: Clinical 40, 103528, 2023 | | 2023 |
| Estimation of multiple components and parameters for quantitative MRI MA Nagtegaal | | 2023 |
| Bresser,. de, Osch, M L Nunez-Gonzalez, M Nagtegaal, DH Poot P. an, Hernandez-Tamames,.., & Vos, FM, 2022 | | 2022 |
| Accelerated white matter lesion analysis based on simultaneous [Formula: see text] and [Formula: see text] quantification using magnetic resonance fingerprinting and deep learning I Hermann, E Martínez-Heras, B Rieger, R Schmidt, AK Golla, JS Hong, ... Magnetic resonance in medicine 86 (1), 471-486, 2021 | | 2021 |
| Implementation of a quantum private query using single-photon transistors MA Nagtegaal, M Blaauboer Journal of Physics B: Atomic, Molecular and Optical Physics 52 (4), 045501, 2019 | | 2019 |
| Sparsity promoting algorithms for multi-component magnetic resonance parameter mapping M Nagtegaal | | 2018 |
| A boolean quantum private query using single photons MA Nagtegaal | | 2015 |
| A boolean QPQ using single photons MA Nagtegaal | | 2015 |
| Bresser,. de.(2023) M Nagtegaal, I Hermann, S Weingärtner, E Martinez-Heras, E Solana, ... White matter changes measured b multi-component MR Fingerprinting in …, 0 | | |
| Through-plane Motion in Magnetic Resonance Fingerprinting: Simulations and Phantom Experiments M Nagtegaal, C McGrath, C Günthner, M Bauman | | |
| Joint sparsity multi-component MRF reconstruction-directly from k-space to component maps M Nagtegaal, E Hartsema, K Koolstra, F Vos | | |
Mariya Doneva在 philips.com 的电子邮件经过验证
Mariya Doneva在 philips.com 的电子邮件经过验证