Gender Recognition Based on Sift Features - Sahar Yousefi; Morteza Zahedi (CoRR, 2011)

Brain tissue segmentation in MR images based on a hybrid of MRF and social algorithms. - Sahar Yousefi; Reza Azmi; Morteza Zahedi (Medical Image Anal., 2012)

A novel Markov random field model based on region adjacency graph for T1 magnetic resonance imaging brain segmentation. - Ali Ahmadvand; Sahar Yousefi; Mohammad T. Manzuri Shalmani (Int. J. Imaging Syst. Technol., 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)

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)

A Fully Bayesian Infinite Generative Model for Dynamic Texture Segmentation. - Sahar Yousefi; Mohammad T. Manzuri Shalmani; Antoni B. Chan (CoRR, 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)

A Novel Motion Detection Method Using 3D Discrete Wavelet Transform. - Sahar Yousefi; M. T. Manzuri-Shalmani; Jeremy Lin; Marius Staring (IEEE Trans. Circuits Syst. Video Technol., 2019)

An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction. - Nicola Pezzotti; Sahar Yousefi; Mohamed S. Elmahdy; Jeroen Hendrikus Fransiscus Van Gemert; Christophe Schülke; Mariya Doneva; Tim Nielsen; Sergey Kastryulin; Boudewijn P. F. Lelieveldt; Matthias J. P. van Osch; Elwin de Weerdt; Marius Staring (IEEE Access, 2020)

An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction: Application to the 2019 fastMRI Challenge. - Nicola Pezzotti; Sahar Yousefi; Mohamed S. Elmahdy; Jeroen Hendrikus Fransiscus Van Gemert; Christophe Schülke; Mariya Doneva; Tim Nielsen; Sergey Kastryulin; Boudewijn P. F. Lelieveldt; Matthias J. P. van Osch; Elwin de Weerdt; Marius Staring (CoRR, 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)

Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge. - Patricia M. Johnson; Geunu Jeong; Kerstin Hammernik; Jo Schlemper; Chen Qin; Jinming Duan 001; Daniel Rueckert; Jingu Lee; Nicola Pezzotti; Elwin de Weerdt; Sahar Yousefi; Mohamed S. Elmahdy; et al. (MLMIR@MICCAI, 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)

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)

DONUT-hole: DONUT Sparsification by Harnessing Knowledge and Optimizing Learning Efficiency. - Azhar Shaikh; Michael Cochez; Denis Diachkov; Michiel de Rijcke; Sahar Yousefi (CoRR, 2023)