Hessam Sokooti

According to our database, Hessam Sokooti authored at least 15 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

ASL to PET Translation by a Semi-supervised Residual-based Attention-guided Convolutional Neural Network.

Sahar Yousefi, Hessam Sokooti, Wouter M. Teeuwisse, Dennis F. R. Heijtel, Aart J. Nederveen, Marius Staring, Matthias J. P. van Osch

CoRR, 2021

Esophageal Tumor Segmentation in CT Images Using a Dilated Dense Attention Unet (DDAUnet).

Sahar Yousefi, Hessam Sokooti, Mohamed S. Elmahdy, Irene M. Lips, Mohammad T. Manzuri Shalmani, Roel T. Zinkstok, Frank J. W. M. Dankers, Marius Staring

IEEE Access, 2021

Hierarchical Prediction of Registration Misalignment Using a Convolutional LSTM: Application to Chest CT Scans.

Hessam Sokooti, Sahar Yousefi, Mohamed S. Elmahdy, Boudewijn P. F. Lelieveldt, Marius Staring

IEEE Access, 2021

Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer.

Mohamed S. Elmahdy, Laurens Beljaards, Sahar Yousefi, Hessam Sokooti, Fons J. Verbeek, Uulke A. van der Heide, Marius Staring

IEEE Access, 2021

2020

Esophageal Tumor Segmentation in CT Images using a 3D Convolutional Neural Network.

Sahar Yousefi, Hessam Sokooti, Mohamed S. Elmahdy, Irene M. Lips, Mohammad T. Manzuri Shalmani, Roel T. Zinkstok, Frank J. W. M. Dankers, Marius Staring

CoRR, 2020

2019

A deep learning framework for unsupervised affine and deformable image registration.

Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Hessam Sokooti, Marius Staring, Ivana Isgum

Medical Image Anal., 2019

Quantitative error prediction of medical image registration using regression forests.

Hessam Sokooti, Gorkem Saygili, Ben Glocker, Boudewijn P. F. Lelieveldt, Marius Staring

Medical Image Anal., 2019

3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations.

Hessam Sokooti, Bob D. de Vos, Floris F. Berendsen, Mohsen Ghafoorian, Sahar Yousefi, Boudewijn P. F. Lelieveldt, Ivana Isgum, Marius Staring

CoRR, 2019

Fast Dynamic Perfusion and Angiography Reconstruction Using an End-to-End 3D Convolutional Neural Network.

Sahar Yousefi, Lydiane Hirschler, Merlijn van der Plas, Mohamed S. Elmahdy, Hessam Sokooti, Matthias van Osch, Marius Staring

Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

Adversarial Optimization for Joint Registration and Segmentation in Prostate CT Radiotherapy.

Mohamed S. Elmahdy, Jelmer M. Wolterink, Hessam Sokooti, Ivana Isgum, Marius Staring

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Evaluation of Multi-metric Registration for Online Adaptive Proton Therapy of Prostate Cancer.

Mohamed S. Elmahdy, Thyrza Jagt, Sahar Yousefi, Hessam Sokooti, Roel Zinkstok, Mischa Hoogeman, Marius Staring

Proceedings of the Biomedical Image Registration - 8th International Workshop, 2018

Esophageal Gross Tumor Volume Segmentation Using a 3D Convolutional Neural Network.

Sahar Yousefi, Hessam Sokooti, Mohamed S. Elmahdy, Femke P. Peters, Mohammad T. Manzuri Shalmani, Roel T. Zinkstok, Marius Staring

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

PelVis: Atlas-based Surgical Planning for Oncological Pelvic Surgery.

Noeska N. Smit, Kai Lawonn, Annelot Kraima, Marco C. DeRuiter, Hessam Sokooti, Stefan Bruckner, Elmar Eisemann, Anna Vilanova

IEEE Trans. Vis. Comput. Graph., 2017

Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks.

Hessam Sokooti, Bob D. de Vos, Floris F. Berendsen, Boudewijn P. F. Lelieveldt, Ivana Isgum, Marius Staring

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

Accuracy Estimation for Medical Image Registration Using Regression Forests.

Hessam Sokooti, Gorkem Saygili, Ben Glocker, Boudewijn P. F. Lelieveldt, Marius Staring

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016