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Hessam Sokooti
Hessam Sokooti
Medis Medical Imaging
Verified email at medisimaging.com
Title
Cited by
Cited by
Year
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
5582019
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
3512017
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
532019
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
462017
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
362016
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
342019
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
312016
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
282019
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
282019
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
202018
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
122021
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
82021
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
72018
International Conference on Medical Image Computing and Computer-Assisted Intervention.
H Sokooti, B De Vos, F Berendsen, BP Lelieveldt, I Išgum, M Staring
62017
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
52021
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
52019
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
32021
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
32020
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
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