| A deep learning framework for unsupervised affine and deformable image registration BD De Vos, FF Berendsen, MA Viergever, H Sokooti, M Staring, I Išgum Medical image analysis 52, 128-143, 2019 | 558 | 2019 |
| Nonrigid image registration using multi-scale 3D convolutional neural networks H Sokooti, B De Vos, F Berendsen, BPF Lelieveldt, I Išgum, M Staring Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 351 | 2017 |
| 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 | 53 | 2019 |
| Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 H Sokooti, B de Vos, F Berendsen, BPF Lelieveldt, I Išgum, M Staring Cham: Springer, 232-239, 2017 | 46 | 2017 |
| Accuracy estimation for medical image registration using regression forests H Sokooti, G Saygili, B Glocker, BPF Lelieveldt, M Staring Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016 | 36 | 2016 |
| Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy MS Elmahdy, JM Wolterink, H Sokooti, I Išgum, M Staring Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 34 | 2019 |
| Pelvis: Atlas-based surgical planning for oncological pelvic surgery N Smit, K Lawonn, A Kraima, M DeRuiter, H Sokooti, S Bruckner, ... IEEE transactions on visualization and computer graphics 23 (1), 741-750, 2016 | 31 | 2016 |
| 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 | 28 | 2019 |
| Quantitative error prediction of medical image registration using regression forests H Sokooti, G Saygili, B Glocker, BPF Lelieveldt, M Staring Medical image analysis 56, 110-121, 2019 | 28 | 2019 |
| Esophageal gross tumor volume segmentation using a 3D convolutional neural network S Yousefi, H Sokooti, MS Elmahdy, FP Peters, MTM Shalmani, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 20 | 2018 |
| 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 | 12 | 2021 |
| 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 | 8 | 2021 |
| 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 |
| International Conference on Medical Image Computing and Computer-Assisted Intervention. H Sokooti, B De Vos, F Berendsen, BP Lelieveldt, I Išgum, M Staring | 6 | 2017 |
| 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 | 5 | 2021 |
| Fast dynamic perfusion and angiography reconstruction using an end-to-end 3D convolutional neural network S Yousefi, L Hirschler, M van der Plas, MS Elmahdy, H Sokooti, ... Machine Learning for Medical Image Reconstruction: Second International …, 2019 | 5 | 2019 |
| ASL to PET translation by a semi-supervised residual-based attention-guided convolutional neural network S Yousefi, H Sokooti, WM Teeuwisse, DFR Heijtel, AJ Nederveen, ... arXiv preprint arXiv:2103.05116, 2021 | 3 | 2021 |
| Esophageal tumor segmentation in ct images using a 3d convolutional neural network S Yousefi, H Sokooti, MS Elmahdy, IM Lips, MTM Shalmani, RT Zinkstok, ... arXiv preprint arXiv:2012.03242, 2020 | 3 | 2020 |
| TCT-250 A Novel Coronary Computed Tomography Angiography Deep-Learning Methodology for Coronary Atheroma Quantification and Characterization Trained Using Near-Infrared … A Ramasamy, H Sokooti, X Zhang, E Tzorovili, R Bajaj, P Kitslaar, ... Journal of the American College of Cardiology 80 (12_Supplement), B98-B99, 2022 | | 2022 |
| OP1 A novel coronary computed tomography angiography deep-learning methodology for coronary atheroma assessment trained using near-infrared spectroscopy-intravascular ultrasound A Ramasamy, H Sokooti, X Zhang, E Tzorovili, R Bajaj, P Kitslaar, ... Heart 108 (Suppl 2), A1-A1, 2022 | | 2022 |
Marius StaringLeiden University Medical CenterVerified email at lumc.nl
