| An adaptive intelligence algorithm for undersampled knee MRI reconstruction N Pezzotti, S Yousefi, MS Elmahdy, JHF Van Gemert, C Schuelke, ... Ieee Access 8, 204825-204838, 2020 | 138* | 2020 |
| Brain tissue segmentation in MR images based on a hybrid of MRF and social algorithms S Yousefi, R Azmi, M Zahedi Medical image analysis 16 (4), 840-848, 2012 | 84 | 2012 |
| Robust contour propagation using deep learning and image registration for online adaptive proton therapy of prostate cancer MS Elmahdy, T Jagt, RT Zinkstok, Y Qiao, R Shahzad, H Sokooti, ... Medical physics 46 (8), 3329-3343, 2019 | 73 | 2019 |
| 3D convolutional neural networks image registration based on efficient supervised learning from artificial deformations H Sokooti, B de Vos, F Berendsen, M Ghafoorian, S Yousefi, ... arXiv preprint arXiv:1908.10235, 2019 | 48 | 2019 |
| Esophageal tumor segmentation in CT images using a dilated dense attention Unet (DDAUnet) S Yousefi, H Sokooti, MS Elmahdy, IM Lips, MTM Shalmani, RT Zinkstok, ... IEEe Access 9, 99235-99248, 2021 | 34 | 2021 |
| Esophageal gross tumor volume segmentation using a 3D convolutional neural network S Yousefi, H Sokooti, MS Elmahdy, FP Peters, MTM Shalmani, ... International conference on medical image computing and computer-assisted …, 2018 | 28 | 2018 |
| Hierarchical prediction of registration misalignment using a convolutional LSTM: Application to chest CT scans H Sokooti, S Yousefi, MS Elmahdy, BPF Lelieveldt, M Staring IEEE Access 9, 62008-62020, 2021 | 26 | 2021 |
| Joint registration and segmentation via multi-task learning for adaptive radiotherapy of prostate cancer MS Elmahdy, L Beljaards, S Yousefi, H Sokooti, F Verbeek, ... IEEE Access 9, 95551-95568, 2021 | 25 | 2021 |
| Adaptive-CS-Net: FastMRI with Adaptive Intelligence N Pezzotti*, E de Weerdt*, S Yousefi*, MS Elmahdy*, J van Gemert*, ... FastMRI challenge, NeurIPS2019, 2019 | 22 | 2019 |
| Personalized local SAR prediction for parallel transmit neuroimaging at 7T from a single T1‐weighted dataset WM Brink, S Yousefi, P Bhatnagar, RF Remis, M Staring, AG Webb Magnetic resonance in medicine 88 (1), 464-475, 2022 | 19 | 2022 |
| Evaluation of the robustness of learned MR image reconstruction to systematic deviations between training and test data for the models from the fastMRI challenge PM Johnson, G Jeong, K Hammernik, J Schlemper, C Qin, J Duan, ... Machine Learning for Medical Image Reconstruction: 4th International …, 2021 | 18 | 2021 |
| A novel motion detection method using 3D discrete wavelet transform S Yousefi, MTM Shalmani, J Lin, M Staring IEEE Transactions on Circuits and Systems for Video Technology 29 (12), 3487 …, 2018 | 14 | 2018 |
| A novel Markov random field model based on region adjacency graph for T1 magnetic resonance imaging brain segmentation A Ahmadvand, S Yousefi, MT Manzuri Shalmani International Journal of Imaging Systems and Technology 27 (1), 78-88, 2017 | 13 | 2017 |
| Adaptive-CS-Net: FastMRI with Adaptive Intelligence. arxiv. 2019 N Pezzotti, E de Weerdt, S Yousefi, MS Elmahdy, J van Gemert, ... arXiv preprint arXiv:1912.12259, 0 | 11 | |
| Gender Recognition based on sift features S Yousefi, M Zahedi International Journal of Artificial Intelligence & Applications (IJAIA), 2011 | 9 | 2011 |
| Evaluation of multi-metric registration for online adaptive proton therapy of prostate cancer MS Elmahdy, T Jagt, S Yousefi, H Sokooti, R Zinkstok, M Hoogeman, ... Biomedical Image Registration: 8th International Workshop, WBIR 2018, Leiden …, 2018 | 7 | 2018 |
| 3D MRI brain segmentation based on MRF and hybrid of SA and IGA S Yousefi, M Zahedi, R Azmi 2010 17th Iranian Conference of Biomedical Engineering (ICBME), 1-4, 2010 | 7 | 2010 |
| 3d convolutional neural networks image registration based on efficient supervised learning from artificial deformations. arXiv (2019). doi: 10.48550 H Sokooti, B de Vos, F Berendsen, M Ghafoorian, S Yousefi, ... arxiv, 1908 | 7 | 1908 |
| Frangi AF, Schnabel JA, Davatzikos C, Alberola-López C, Fichtinger G, et al S Yousefi Esophageal gross tumor volume segmentation using a 3D convolutional neural …, 2018 | 5 | 2018 |
| Brain tumor segmentation in 3D MRIs using an improved Markov random field model S Yousefi, R Azmi, M Zahedi International Conference on Graphic and Image Processing (ICGIP 2011) 8285 …, 2011 | 5 | 2011 |
Marius StaringLeiden University Medical CenterEmail verificata su lumc.nl
