Navigational path detection for the visually impaired using fully convolutional networks. - Khaled Saleh; Ramy A. Zeineldin; Mohammed Hossny; Saeid Nahavandi; Nawal A. El-Fishawy (SMC, 2017)

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 (SMC, 2018)

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)

Ensemble CNN Networks for GBM Tumors Segmentation Using Multi-parametric MRI. - Ramy A. Zeineldin; Mohamed E. Karar; Franziska Mathis-Ullrich; Oliver Burgert (BrainLes@MICCAI (1), 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 (MLMI@MICCAI, 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)

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 (BrainLes@MICCAI, 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 (BrainLes@MICCAI (2), 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)

Ensemble Learning and 3D Pix2Pix for Comprehensive Brain Tumor Analysis in Multimodal MRI. - Ramy A. Zeineldin; Franziska Mathis-Ullrich (BraTS/CrossMoDA@MICCAI, 2023)

Deep Multimodality Image-Guided System for Assisting Neurosurgery - Ramy A. Zeineldin (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., 2023)

SAMSurg: Surgical Instrument Segmentation in Robotic Surgeries Using Vision Foundation Model. - Nevin M. Matasyoh; Franziska Mathis-Ullrich; Ramy A. Zeineldin (IEEE Access, 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)

Visual Grounding - Endoscopic Third Ventriculostomy (VG-ETV) dataset. - Nevin Matasyoh; Ramy A. Zeineldin; Rüdiger Schmidt; Uwe Spetzger; Franziska Mathis-Ullrich (IEEE DataPort, 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., 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., 2024)