Ramy A. Zeineldin

According to our database, Ramy A. Zeineldin authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

NeuroIGN: Explainable Multimodal Image-Guided System for Precise Brain Tumor Surgery.

Ramy A. Zeineldin, Mohamed E. Karar, Oliver Burgert, Franziska Mathis-Ullrich

J. Medical Syst., December, 2024

Interactive Surgical Training in Neuroendoscopy: Real-Time Anatomical Feature Localization Using Natural Language Expressions.

Nevin M. Matasyoh, Rüdiger Schmidt, Ramy A. Zeineldin, Uwe Spetzger, Franziska Mathis-Ullrich

IEEE Trans. Biomed. Eng., October, 2024

Visual Grounding - Endoscopic Third Ventriculostomy (VG-ETV) dataset.

Nevin Matasyoh, Ramy A. Zeineldin, Rüdiger Schmidt, Uwe Spetzger, Franziska Mathis-Ullrich

Dataset, May, 2024

Unified HT-CNNs Architecture: Transfer Learning for Segmenting Diverse Brain Tumors in MRI from Gliomas to Pediatric Tumors.

Ramy A. Zeineldin, Franziska Mathis-Ullrich

CoRR, 2024

SAMSurg: Surgical Instrument Segmentation in Robotic Surgeries Using Vision Foundation Model.

Nevin M. Matasyoh, Franziska Mathis-Ullrich, Ramy A. Zeineldin

IEEE Access, 2024

2023

Development of an AI-driven system for neurosurgery with a usability study: a step towards minimal invasive robotics.

Ramy A. Zeineldin, Denise Junger, Franziska Mathis-Ullrich, Oliver Burgert

Autom., July, 2023

Deep Multimodality Image-Guided System for Assisting Neurosurgery

Ramy A. Zeineldin

PhD thesis, 2023

Ensemble Learning and 3D Pix2Pix for Comprehensive Brain Tumor Analysis in Multimodal MRI.

Ramy A. Zeineldin, Franziska Mathis-Ullrich

Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023

2022

Explainability of deep neural networks for MRI analysis of brain tumors.

Ramy A. Zeineldin, Mohamed E. Karar, Ziad Elshaer, Jan Coburger, Christian Rainer Wirtz, Oliver Burgert, Franziska Mathis-Ullrich

Int. J. Comput. Assist. Radiol. Surg., 2022

Self-supervised iRegNet for the Registration of Longitudinal Brain MRI of Diffuse Glioma Patients.

Ramy A. Zeineldin, Mohamed E. Karar, Franziska Mathis-Ullrich, Oliver Burgert

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

Multimodal CNN Networks for Brain Tumor Segmentation in MRI: A BraTS 2022 Challenge Solution.

Ramy A. Zeineldin, Mohamed E. Karar, Oliver Burgert, Franziska Mathis-Ullrich

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021

iRegNet: Non-Rigid Registration of MRI to Interventional US for Brain-Shift Compensation Using Convolutional Neural Networks.

Ramy A. Zeineldin, Mohamed E. Karar, Ziad Elshaer, Markus Schmidhammer, Jan Coburger, Christian Rainer Wirtz, Oliver Burgert, Franziska Mathis-Ullrich

IEEE Access, 2021

A Hybrid Deep Registration of MR Scans to Interventional Ultrasound for Neurosurgical Guidance.

Ramy A. Zeineldin, Mohamed E. Karar, Franziska Mathis-Ullrich, Oliver Burgert

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Ensemble CNN Networks for GBM Tumors Segmentation Using Multi-parametric MRI.

Ramy A. Zeineldin, Mohamed E. Karar, Franziska Mathis-Ullrich, Oliver Burgert

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

DeepSeg: deep neural network framework for automatic brain tumor segmentation using magnetic resonance FLAIR images.

Ramy A. Zeineldin, Mohamed E. Karar, Jan Coburger, Christian Rainer Wirtz, Oliver Burgert

Int. J. Comput. Assist. Radiol. Surg., 2020

2018

End-to-End Indoor Navigation Assistance for the Visually Impaired Using Monocular Camera.

Khaled Saleh, Ramy A. Zeineldin, Mohammed Hossny, Saeid Nahavandi, Nawal A. El-Fishawy

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2017

Navigational path detection for the visually impaired using fully convolutional networks.

Khaled Saleh, Ramy A. Zeineldin, Mohammed Hossny, Saeid Nahavandi, Nawal A. El-Fishawy

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017