| CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions T Küstner, N Fuin, K Hammernik, A Bustin, H Qi, R Hajhosseiny, PG Masci, ... Scientific reports 10 (1), 13710, 2020 | 223 | 2020 |
| From compressed-sensing to artificial intelligence-based cardiac MRI reconstruction A Bustin, N Fuin, RM Botnar, C Prieto Frontiers in cardiovascular medicine 7, 17, 2020 | 139 | 2020 |
| Magnetic resonance fingerprinting using recurrent neural networks I Oksuz, G Cruz, J Clough, A Bustin, N Fuin, RM Botnar, C Prieto, AP King, ... 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 68 | 2019 |
| Deep‐learning based super‐resolution for 3D isotropic coronary MR angiography in less than a minute T Küstner, C Munoz, A Psenicny, A Bustin, N Fuin, H Qi, R Neji, K Kunze, ... Magnetic resonance in medicine 86 (5), 2837-2852, 2021 | 66 | 2021 |
| Staging performance of whole-body DWI, PET/CT and PET/MRI in invasive ductal carcinoma of the breast OA Catalano, D Daye, A Signore, C Iannace, M Vangel, A Luongo, ... International journal of oncology 51 (1), 281-288, 2017 | 58 | 2017 |
| A multi-scale variational neural network for accelerating motion-compensated whole-heart 3D coronary MR angiography N Fuin, A Bustin, T Küstner, I Oksuz, J Clough, AP King, JA Schnabel, ... Magnetic resonance imaging 70, 155-167, 2020 | 55 | 2020 |
| Non-rigid respiratory motion estimation of whole-heart coronary MR images using unsupervised deep learning H Qi, N Fuin, G Cruz, J Pan, T Kuestner, A Bustin, RM Botnar, C Prieto IEEE Transactions on Medical Imaging 40 (1), 444-454, 2020 | 47 | 2020 |
| PET/MRI in the presence of metal implants: completion of the attenuation map from PET emission data N Fuin, S Pedemonte, OA Catalano, D Izquierdo-Garcia, A Soricelli, ... Journal of Nuclear Medicine 58 (5), 840-845, 2017 | 34 | 2017 |
| Concurrent respiratory motion correction of abdominal PET and dynamic contrast-enhanced–MRI using a compressed sensing approach N Fuin, OA Catalano, M Scipioni, LPW Canjels, D Izquierdo-Garcia, ... Journal of Nuclear Medicine 59 (9), 1474-1479, 2018 | 33 | 2018 |
| Comparison of the clinical performance of upper abdominal PET/DCE-MRI with and without concurrent respiratory motion correction (MoCo) OA Catalano, L Umutlu, N Fuin, ML Hibert, M Scipioni, S Pedemonte, ... European Journal of Nuclear Medicine and Molecular Imaging 45, 2147-2154, 2018 | 29 | 2018 |
| Transmission imaging for integrated PET-MR systems SL Bowen, N Fuin, MA Levine, C Catana Physics in Medicine & Biology 61 (15), 5547, 2016 | 21 | 2016 |
| Efficient determination of the uncertainty for the optimization of SPECT system design: A subsampled Fisher information matrix N Fuin, S Pedemonte, S Arridge, S Ourselin, BF Hutton IEEE transactions on medical imaging 33 (3), 618-635, 2013 | 12 | 2013 |
| Accelerating 3D MTC-BOOST in patients with congenital heart disease using a joint multi-scale variational neural network reconstruction A Fotaki, N Fuin, G Nordio, CV Jimeno, H Qi, Y Emmanuel, K Pushparajah, ... Magnetic Resonance Imaging 92, 120-132, 2022 | 11 | 2022 |
| A variational neural network for accelerating free-breathing whole-heart coronary MR angiography N Fuin, A Bustin, T Kuestner, R Botnar, C Prieto Proceedings of the International Society for Magnetic Resonance in Medicine …, 2019 | 9 | 2019 |
| Variance prediction in SPECT reconstruction based on the fisher information using a novel angular blurring algorithm for computation of the system matrix A Bousse, K Erlandsson, N Fuin, D Salvado, BF Hutton 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS …, 2013 | 6 | 2013 |
| Collimator design in SPECT, an optimisation tool N Fuin, A Bousse, S Pedemonte, S Arridge, S Ourselin, B Hutton IEEE Nuclear Science Symposuim & Medical Imaging Conference, 3149-3154, 2010 | 6 | 2010 |
| Accelerated 4D respiratory motion-resolved cardiac MRI with a model-based variational network H Qi, N Fuin, T Kuestner, R Botnar, C Prieto Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 2 | 2020 |
| Use of the Fisher Information Matrix to optimize the acquisition protocol for a D-SPECT system N Fuin, S Pedemonte, S Arridge, S Ourselin, BF Hutton 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record …, 2012 | 2 | 2012 |
| Subsampled Fisher Information Matrix for efficient estimation of the uncertainty in emission tomography N Fuin, S Pedemonte, S Arridge, S Ourselin, BF Hutton 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record …, 2012 | 2 | 2012 |
| Point spread function optimization in SPECT A Bousse, N Fuin, K Erlandsson, S Pedemonte, D Kazantsev, S Ourselin, ... IEEE Nuclear Science Symposuim & Medical Imaging Conference, 2061-2065, 2010 | 2 | 2010 |
Stefano PedemonteResearch Fellow, Harvard Medical SchoolVerified email at mgh.harvard.edu