Accuracy Estimation for Medical Image Registration Using Regression Forests. - Hessam Sokooti; Gorkem Saygili; Ben Glocker; Boudewijn P. F. Lelieveldt; Marius Staring (MICCAI (3), 2016)

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 (MICCAI (1), 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)

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 (MICCAI (4), 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 (WBIR, 2018)

Adversarial Optimization for Joint Registration and Segmentation in Prostate CT Radiotherapy. - Mohamed S. Elmahdy; Jelmer M. Wolterink; Hessam Sokooti; Ivana Isgum; Marius Staring (MICCAI (6), 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 (MLMIR@MICCAI, 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)

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)

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)

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)

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)

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)

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)

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)

Cross-sectional angle prediction of lipid-rich and calcified tissue on computed tomography angiography images. - Xiaotong Zhang 009; Alexander Broersen; Hessam Sokooti; Anantharaman Ramasamy; Pieter H. Kitslaar; Ramya Parasa; Medeni Karaduman; Amear Souded Ali Jan Mohammed; Christos V. Bourantas; Jouke Dijkstra (Int. J. Comput. Assist. Radiol. Surg., 2024)