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Ramy Ashraf Zeineldin
Ramy Ashraf Zeineldin
Postdoc Researcher, FAU University of Erlangen–Nuremberg
Verified email at fau.de - Homepage
Title
Cited by
Cited by
Year
DeepSeg: deep neural network framework for automatic brain tumor segmentation using magnetic resonance FLAIR images
RA Zeineldin, ME Karar, J Coburger, CR Wirtz, O Burgert
International journal of computer assisted radiology and surgery 15 (6), 909-920, 2020
1812020
Explainability of deep neural networks for MRI analysis of brain tumors
RA Zeineldin, ME Karar, Z Elshaer, J Coburger, CR Wirtz, O Burgert, ...
International journal of computer assisted radiology and surgery 17 (9 …, 2022
422022
Fast and accurate ground plane detection for the visually impaired from 3D organized point clouds
RA Zeineldin, NA El-Fishawy
2016 SAI computing conference (SAI), 373-379, 2016
422016
Biomedical image analysis competitions: The state of current participation practice
M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ...
arXiv preprint arXiv:2212.08568, 2022
212022
Multimodal CNN networks for brain tumor segmentation in MRI: a BraTS 2022 challenge solution
RA Zeineldin, ME Karar, O Burgert, F Mathis-Ullrich
International MICCAI Brainlesion Workshop, 127-137, 2022
182022
Towards automated correction of brain shift using deep deformable magnetic resonance imaging-intraoperative ultrasound (MRI-iUS) registration
RA Zeineldin, ME Karar, J Coburger, CR Wirtz, F Mathis-Ullrich, O Burgert
Current directions in biomedical engineering 6 (1), 20200039, 2020
112020
A Survey of RANSAC Enhancements for Plane Detection in 3D Point Clouds
RA Zeineldin, N El-Fishawy
Menoufia Journal of Electronic Engineering Research 26 (2), 519-537, 2017
112017
Navigational path detection for the visually impaired using fully convolutional networks
K Saleh, RA Zeineldin, M Hossny, S Nahavandi, NA El-Fishawy
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
92017
End-to-end indoor navigation assistance for the visually impaired using monocular camera
K Saleh, RA Zeineldin, M Hossny, S Nahavandi, N El-Fishawy
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018
82018
iRegNet: Non-rigid registration of MRI to interventional US for brain-shift compensation using convolutional neural networks
RA Zeineldin, ME Karar, Z Elshaer, M Schmidhammer, J Coburger, ...
Ieee Access 9, 147579-147590, 2021
72021
Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric MRI
RA Zeineldin, ME Karar, F Mathis-Ullrich, O Burgert
Crimi, A., Bakas, S. (eds) Brainlesion: Glioma, Multiple Sclerosis, Stroke …, 2022
62022
Slicer-DeepSeg: Open-source deep learning toolkit for brain tumour segmentation
RA Zeineldin, P Weimann, ME Karar, F Mathis-Ullrich, O Burgert
Current directions in biomedical engineering 7 (1), 30-34, 2021
52021
Deep automatic segmentation of brain tumours in interventional ultrasound data
RA Zeineldin, A Pollok, T Mangliers, ME Karar, F Mathis-Ullrich, O Burgert
Current directions in biomedical engineering 8 (1), 133-137, 2022
42022
A hybrid deep registration of MR scans to interventional ultrasound for neurosurgical guidance
RA Zeineldin, ME Karar, F Mathis-Ullrich, O Burgert
Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021
42021
Self-supervised iRegNet for the Registration of Longitudinal Brain MRI of Diffuse Glioma Patients
RA Zeineldin, ME Karar, F Mathis-Ullrich, O Burgert
International MICCAI Brainlesion Workshop, 25-34, 2022
32022
FRANSAC: Fast RANdom sample consensus for 3D plane segmentation
RA Zeineldin, NA El-Fishawy
International Journal of Computer Applications 975, 8887, 2017
22017
NeuroIGN: Explainable Multimodal Image-Guided System for Precise Brain Tumor Surgery
RA Zeineldin, ME Karar, O Burgert, F Mathis-Ullrich
Journal of Medical Systems 48 (1), 1-11, 2024
2024
Explainable hybrid vision transformers and convolutional network for multimodal glioma segmentation in brain MRI
RA Zeineldin, ME Karar, Z Elshaer, J Coburger, CR Wirtz, O Burgert, ...
Scientific Reports 14 (1), 3713, 2024
2024
Development of an AI-driven system for neurosurgery with a usability study: a step towards minimal invasive robotics
RA Zeineldin, D Junger, F Mathis-Ullrich, O Burgert
at-Automatisierungstechnik 71 (7), 537-546, 2023
2023
Deep multimodality image-guided system for assisting neurosurgery
R Zeineldin
Dissertation, Karlsruhe, Karlsruher Institut für Technologie (KIT), 2023, 2023
2023
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