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ORCIDMohamed S. Elmahdy
Person information
- affiliation: Leiden University Medical Center, The Netherlands
- affiliation (former): Cairo University, Faculty of Engineering, Systems and Biomedical Department, Giza, Egypt
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2020 – today
- 2022
[c10]Yichao Li, Mohamed S. Elmahdy, Michael S. Lew, Marius Staring
:
Transformation-consistent semi-supervised learning for prostate CT radiotherapy. Medical Imaging: Computer-Aided Diagnosis 2022- 2021
- [j4]Hessam Sokooti, Sahar Yousefi, Mohamed S. Elmahdy, Boudewijn P. F. Lelieveldt, Marius Staring:
Hierarchical Prediction of Registration Misalignment Using a Convolutional LSTM: Application to Chest CT Scans. IEEE Access 9: 62008-62020 (2021) - [j3]Mohamed S. Elmahdy, Laurens Beljaards, Sahar Yousefi, Hessam Sokooti, Fons J. Verbeek, Uulke A. van der Heide, Marius Staring:
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer. IEEE Access 9: 95551-95568 (2021) - [j2]Sahar Yousefi, Hessam Sokooti, Mohamed S. Elmahdy, Irene M. Lips, Mohammad T. Manzuri Shalmani, Roel T. Zinkstok, Frank J. W. M. Dankers, Marius Staring:
Esophageal Tumor Segmentation in CT Images Using a Dilated Dense Attention Unet (DDAUnet). IEEE Access 9: 99235-99248 (2021) - [c9]Patricia M. Johnson, Geunu Jeong, Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Daniel Rueckert, Jingu Lee, Nicola Pezzotti, Elwin de Weerdt, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Franciscus Van Gemert, Christophe Schülke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Marius Staring, Eric Z. Chen, Puyang Wang, Xiao Chen, Terrence Chen, Vishal M. Patel, Shanhui Sun, Hyungseob Shin, Yohan Jun, Taejoon Eo, Sewon Kim, Taeseong Kim, Dosik Hwang, Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling, Matthew J. Muckley, Florian Knoll:
Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge. MLMIR@MICCAI 2021: 25-34 - [i7]Mohamed S. Elmahdy, Laurens Beljaards, Sahar Yousefi, Hessam Sokooti, Fons J. Verbeek, Uulke A. van der Heide, Marius Staring:
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer. CoRR abs/2105.01844 (2021) - 2020
- [j1]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:
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction. IEEE Access 8: 204825-204838 (2020) - [c8]Mohamed S. Elmahdy, Tanuj Ahuja, Uulke A. van der Heide, Marius Staring:
Patient-Specific Finetuning of Deep Learning Models for Adaptive Radiotherapy in Prostate CT. ISBI 2020: 577-580 - [c7]Laurens Beljaards, Mohamed S. Elmahdy, Fons J. Verbeek, Marius Staring:
A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy. MIDL 2020: 62-74 - [i6]Mohamed S. Elmahdy, Tanuj Ahuja, Uulke A. van der Heide, Marius Staring:
Patient-Specific Finetuning of Deep Learning Models for Adaptive Radiotherapy in Prostate CT. CoRR abs/2002.06927 (2020) - [i5]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:
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction: Application to the 2019 fastMRI Challenge. CoRR abs/2004.07339 (2020) - [i4]Laurens Beljaards, Mohamed S. Elmahdy, Fons J. Verbeek, Marius Staring:
A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy. CoRR abs/2004.08122 (2020) - [i3]Sahar Yousefi, Hessam Sokooti, Mohamed S. Elmahdy, Irene M. Lips, Mohammad T. Manzuri Shalmani, Roel T. Zinkstok, Frank J. W. M. Dankers, Marius Staring:
Esophageal Tumor Segmentation in CT Images using a 3D Convolutional Neural Network. CoRR abs/2012.03242 (2020)
2010 – 2019
- 2019
- [c6]Sahar Yousefi, Lydiane Hirschler, Merlijn van der Plas, Mohamed S. Elmahdy, Hessam Sokooti, Matthias van Osch, Marius Staring:
Fast Dynamic Perfusion and Angiography Reconstruction Using an End-to-End 3D Convolutional Neural Network. MLMIR@MICCAI 2019: 25-35 - [c5]Mohamed S. Elmahdy, Jelmer M. Wolterink, Hessam Sokooti, Ivana Isgum, Marius Staring:
Adversarial Optimization for Joint Registration and Segmentation in Prostate CT Radiotherapy. MICCAI (6) 2019: 366-374 - [i2]Mohamed S. Elmahdy, Jelmer M. Wolterink, Hessam Sokooti, Ivana Isgum, Marius Staring:
Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy. CoRR abs/1906.12223 (2019) - [i1]Sahar Yousefi, Lydiane Hirschler, Merlijn van der Plas, Mohamed S. Elmahdy, Hessam Sokooti, Matthias van Osch, Marius Staring:
Fast Dynamic Perfusion and Angiography Reconstruction using an end-to-end 3D Convolutional Neural Network. CoRR abs/1908.08947 (2019) - 2018
- [c4]Sahar Yousefi, Hessam Sokooti, Mohamed S. Elmahdy, Femke P. Peters, Mohammad T. Manzuri Shalmani, Roel T. Zinkstok, Marius Staring:
Esophageal Gross Tumor Volume Segmentation Using a 3D Convolutional Neural Network. MICCAI (4) 2018: 343-351 - [c3]Mohamed S. Elmahdy, Thyrza Jagt, Sahar Yousefi, Hessam Sokooti, Roel Zinkstok, Mischa Hoogeman, Marius Staring:
Evaluation of Multi-metric Registration for Online Adaptive Proton Therapy of Prostate Cancer. WBIR 2018: 94-104 - 2017
- [c2]Mohamed S. Elmahdy, Sara S. Abdeldayem, Inas A. Yassine:
Low quality dermal image classification using transfer learning. BHI 2017: 373-376 - [c1]Mohamed S. Elmahdy, Ahmed Morsy:
Subvocal Speech Recognition via Close-Talk Microphone and Surface Electromyogram Using Deep Learning. FedCSIS 2017: 165-168
Coauthor Index
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