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ORCIDRamy A. Zeineldin
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2020 – today
- 2024
[j6]Ramy A. Zeineldin
, Mohamed E. Karar, Oliver Burgert, Franziska Mathis-Ullrich:
NeuroIGN: Explainable Multimodal Image-Guided System for Precise Brain Tumor Surgery. J. Medical Syst. 48(1): 25 (2024)- [j5]Nevin M. Matasyoh, Rüdiger Schmidt, Ramy A. Zeineldin, Uwe Spetzger, Franziska Mathis-Ullrich:
Interactive Surgical Training in Neuroendoscopy: Real-Time Anatomical Feature Localization Using Natural Language Expressions. IEEE Trans. Biomed. Eng. 71(10): 2991-2999 (2024) - [d1]Nevin Matasyoh, Ramy A. Zeineldin, Rüdiger Schmidt, Uwe Spetzger, Franziska Mathis-Ullrich:
Visual Grounding - Endoscopic Third Ventriculostomy (VG-ETV) dataset. IEEE DataPort, 2024
- 2023
- [b1]Ramy A. Zeineldin:
Deep Multimodality Image-Guided System for Assisting Neurosurgery. Karlsruhe University, Germany, 2023 - [j4]Ramy A. Zeineldin, Denise Junger, Franziska Mathis-Ullrich, Oliver Burgert:
Development of an AI-driven system for neurosurgery with a usability study: a step towards minimal invasive robotics. Autom. 71(7): 537-546 (2023) - 2022
- [j3]Ramy A. Zeineldin, Mohamed E. Karar, Ziad Elshaer, Jan Coburger, Christian Rainer Wirtz, Oliver Burgert, Franziska Mathis-Ullrich:
Explainability of deep neural networks for MRI analysis of brain tumors. Int. J. Comput. Assist. Radiol. Surg. 17(9): 1673-1683 (2022) - [c6]Ramy A. Zeineldin, Mohamed E. Karar, Franziska Mathis-Ullrich, Oliver Burgert:
Self-supervised iRegNet for the Registration of Longitudinal Brain MRI of Diffuse Glioma Patients. BrainLes@MICCAI (2) 2022: 25-34 - [c5]Ramy A. Zeineldin, Mohamed E. Karar, Oliver Burgert, Franziska Mathis-Ullrich:
Multimodal CNN Networks for Brain Tumor Segmentation in MRI: A BraTS 2022 Challenge Solution. BrainLes@MICCAI 2022: 127-137 - [i4]Ramy A. Zeineldin, Mohamed E. Karar, Franziska Mathis-Ullrich, Oliver Burgert:
Self-supervised iRegNet for the Registration of Longitudinal Brain MRI of Diffuse Glioma Patients. CoRR abs/2211.11025 (2022) - [i3]Ramy A. Zeineldin, Mohamed E. Karar, Oliver Burgert, Franziska Mathis-Ullrich:
Multimodal CNN Networks for Brain Tumor Segmentation in MRI: A BraTS 2022 Challenge Solution. CoRR abs/2212.09310 (2022) - 2021
- [j2]Ramy A. Zeineldin, Mohamed E. Karar, Ziad Elshaer, Markus Schmidhammer, Jan Coburger, Christian Rainer Wirtz, Oliver Burgert, Franziska Mathis-Ullrich:
iRegNet: Non-Rigid Registration of MRI to Interventional US for Brain-Shift Compensation Using Convolutional Neural Networks. IEEE Access 9: 147579-147590 (2021) - [c4]Ramy A. Zeineldin, Mohamed E. Karar, Franziska Mathis-Ullrich, Oliver Burgert:
Ensemble CNN Networks for GBM Tumors Segmentation Using Multi-parametric MRI. BrainLes@MICCAI (1) 2021: 473-483 - [c3]Ramy A. Zeineldin, Mohamed E. Karar, Franziska Mathis-Ullrich, Oliver Burgert:
A Hybrid Deep Registration of MR Scans to Interventional Ultrasound for Neurosurgical Guidance. MLMI@MICCAI 2021: 586-595 - [i2]Ramy A. Zeineldin, Mohamed E. Karar, Franziska Mathis-Ullrich, Oliver Burgert:
Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric MRI. CoRR abs/2112.06554 (2021) - 2020
- [j1]Ramy A. Zeineldin, Mohamed E. Karar, Jan Coburger, Christian Rainer Wirtz, Oliver Burgert:
DeepSeg: deep neural network framework for automatic brain tumor segmentation using magnetic resonance FLAIR images. Int. J. Comput. Assist. Radiol. Surg. 15(6): 909-920 (2020) - [i1]Ramy A. Zeineldin, Mohamed E. Karar, Jan Coburger, Christian Rainer Wirtz, Oliver Burgert:
DeepSeg: Deep Neural Network Framework for Automatic Brain Tumor Segmentation using Magnetic Resonance FLAIR Images. CoRR abs/2004.12333 (2020)
2010 – 2019
- 2018
- [c2]Khaled Saleh, Ramy A. Zeineldin, Mohammed Hossny, Saeid Nahavandi, Nawal A. El-Fishawy:
End-to-End Indoor Navigation Assistance for the Visually Impaired Using Monocular Camera. SMC 2018: 3504-3510 - 2017
- [c1]Khaled Saleh, Ramy A. Zeineldin, Mohammed Hossny, Saeid Nahavandi, Nawal A. El-Fishawy:
Navigational path detection for the visually impaired using fully convolutional networks. SMC 2017: 1399-1404
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