Myocardial Segmentation Using Constrained Multi-Seeded Region Growing. - Mustafa A. Alattar; Nael F. Osman; Ahmed S. Fahmy (ICIAR (2), 2010)

Automatic segmentation of the aortic root in CT angiography of candidate patients for transcatheter aortic valve implantation. - Mustafa A. Elattar; E. M. Wiegerinck; R. N. Planken; Ed VanBavel; Hans C. van Assen; Jan Baan; Henk A. Marquering (Medical Biol. Eng. Comput., 2014)

A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images. - Avan Suinesiaputra; Brett R. Cowan; Ahmed O. Al-Agamy; Mustafa A. Elattar; Nicholas Ayache; Ahmed S. Fahmy; Ayman M. Khalifa; Pau Medrano-Gracia; Marie-Pierre Jolly; Alan H. Kadish; Daniel C. Lee 002; Ján Margeta; et al. (Medical Image Anal., 2014)

Automatic Planning of Minimally Invasive Aortic Valve Replacement Surgery. - Mustafa A. Elattar; Floortje van Kesteren; Esther Wiegerinck; Ed van Bavel; Jan Baan; Riccardo Cocchieri; Nils Planken; Henk A. Marquering (ICIAR, 2015)

Automated Detection of Aortic Root Landmarks in Preprocedure CT Angiography Images for Transcatheter Aortic Valve Implantation Patients. - Mustafa A. Elattar; Esther Wiegerinck; Floortje van Kesteren; Lucile Dubois; Nils Planken; Ed VanBavel; Jan Baan; Henk A. Marquering (ICIAR, 2015)

Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation. - Ahmed H. Shahin; Karim Amer; Mustafa A. Elattar (ISBI, 2019)

Left Ventricle Segmentation Using Scale-Independent Multi-Gate UNET in MRI Images. - Mina Saber; Dina Abdelrauof; Mustafa Elattar 001 (IEA/AIE, 2020)

Multi-center, Multi-vendor, and Multi-disease Cardiac Image Segmentation Using Scale-Independent Multi-gate UNET. - Mina Saber; Dina Abdelrauof; Mustafa Elattar 001 (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

LTE Uplink Interference Inspection Using Convolutional Neural Networks. - Amr Medhat; Mustafa A. Elattar; Omar M. Fahmy (NILES, 2021)

A Deep Learning-Based Benchmarking Framework for Lane Segmentation in the Complex and Dynamic Road Scenes. - Retaj Yousri; Mustafa A. Elattar; M. Saeed Darweesh (IEEE Access, 2021)

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. - Víctor M. Campello; Polyxeni Gkontra; Cristian Izquierdo; Carlos Martín-Isla; Alireza Sojoudi; Peter M. Full; Klaus H. Maier-Hein; Yao Zhang 010; Zhiqiang He 002; Jun Ma 016; Mario Parreño; Alberto Albiol; et al. (IEEE Trans. Medical Imaging, 2021)

Differentiation Between Normal and Abnormal Functional Brain Connectivity Using Non-directed Model-Based Approach. - Heba Ali; Mustafa A. Elattar; Walid Al-Atabany; Sahar Selim (MEDI Workshops, 2022)

A CAD System for Lung Cancer Detection Using Chest X-ray: A Review. - Kareem Elgohary; Samar Ibrahim; Sahar Selim; Mustafa A. Elattar (MEDI Workshops, 2022)

A Novel Diagnostic Model for Early Detection of Alzheimer's Disease Based on Clinical and Neuroimaging Features. - Eyad Gad; Aya Gamal; Mustafa A. Elattar; Sahar Selim (MEDI, 2022)

Does Deep Learning Require Image Registration for Early Prediction of Alzheimer's Disease? A Comparative Study Using ADNI Database. - Aya Gamal; Mustafa A. Elattar; Sahar Selim (MEDI Workshops, 2022)

In the Identification of Arabic Dialects: A Loss Function Ensemble Learning Based-Approach. - Salma Jamal; Salma Khaled; Aly M. Kassem; Ayaalla Eltabey; Alaa Osama; Samah Mohamed; Mustafa A. Elattar (MEDI, 2022)

A Multi-scale Self-supervision Method for Improving Cell Nuclei Segmentation in Pathological Tissues. - Hesham Ali 002; Mustafa A. Alattar; Sahar Selim (MIUA, 2022)

Lung Segmentation Using ResUnet++ Powered by Variational Auto Encoder-Based Enhancement in Chest X-ray Images. - Samar Ibrahim; Kareem Elgohary; Mahmoud Higazy; Thanaa Mohannad; Sahar Selim; Mustafa A. Alattar (MIUA, 2022)

Efficient Pipeline for Rapid Detection of Catheters and Tubes in Chest Radiographs. - Hossam Mohamed Sarhan; Hesham Ali 002; Eman Ehab; Sahar Selim; Mustafa Elattar 001 (MIUA, 2022)

Light-Weight Food/Non-Food Classifier for Real-Time Applications. - Salma Zakzouk; Aya Saafan; Menna-allah Sayed; Mustafa A. Elattar; M. Saeed Darweesh (NILES, 2022)

License Plate Image Analysis Empowered by Generative Adversarial Neural Networks (GANs). - Ibrahim H. El-Shal; Omar M. Fahmy; Mustafa A. Elattar (IEEE Access, 2022)

Automatic Early Diagnosis of Alzheimer's Disease Using 3D Deep Ensemble Approach. - Aya Gamal; Mustafa A. Alattar; Sahar Selim (IEEE Access, 2022)

Generalisability of deep learning models in low-resource imaging settings: A fetal ultrasound study in 5 African countries. - Carla Sendra-Balcells; Víctor M. Campello; Jordina Torrents-Barrena; Yahya Ali Ahmed; Mustafa A. Elattar; Benard Ohene Botwe; Pempho Nyangulu; William Stones; Mohammed Ammar; Lamya Nawal Benamer; Harriet Nalubega Kisembo; Senai Goitom Sereke; et al. (CoRR, 2022)

Transfer Learning in Segmenting Myocardium Perfusion Images. - Yasmin E. Younis; Sahar Fawzi; Mustafa Elattar 001 (MEDI Workshops, 2023)

Cross-Modality Deep Transfer Learning: Application to Liver Segmentation in CT and MRI. - Merna Bibars; Peter E. Salah; Ayman Eldeib; Mustafa A. Elattar; Inas A. Yassine (MIUA, 2023)

A Novel Approach to Breast Cancer Segmentation Using U-Net Model with Attention Mechanisms and FedProx. - Eyad Gad; Mustafa Abou Khatwa; Mustafa A. Elattar; Sahar Selim (MIUA, 2023)

Revolutionizing Cancer Diagnosis Through Hybrid Self-supervised Deep Learning: EfficientNet with Denoising Autoencoder for Semantic Segmentation of Histopathological Images. - Mostafa A. Hammouda; Marwan Khaled; Hesham Ali 002; Sahar Selim; Mustafa Elattar 001 (MIUA, 2023)

Efficient Semantic Segmentation of Nuclei in Histopathology Images Using Segformer. - Marwan Khaled; Mostafa A. Hammouda; Hesham Ali 002; Mustafa Elattar 001; Sahar Selim (MIUA, 2023)

Iterative Refinement Algorithm for Liver Segmentation Ground-Truth Generation Using Fine-Tuning Weak Labels for CT and Structural MRI. - Peter E. Salah; Merna Bibars; Ayman Eldeib; Ahmed M. Ghanem; Ahmed M. Gharib; Khaled Z. Abd-Elmoniem; Mustafa A. Elattar; Inas A. Yassine (MIUA, 2023)

STG-MTL: Scalable Task Grouping for Multi-Task Learning Using Data Map. - Ammar Sherif; Abubakar Abid; Mustafa Elattar 001; Mohamed ElHelw (CoRR, 2023)

Improving Targeted Molecule Generation through Language Model Fine-Tuning Via Reinforcement Learning. - Salma J. Ahmed; Mustafa A. Elattar (CoRR, 2024)

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. - Hongwei Bran Li; Fernando Navarro; Ivan Ezhov; Amirhossein Bayat; Dhritiman Das; Florian Kofler; Suprosanna Shit; Diana Waldmannstetter; Johannes C. Paetzold; Xiaobin Hu; Benedikt Wiestler; Lucas Zimmer; et al. (CoRR, 2024)

A novel data augmentation approach for ego-lane detection enhancement. - Retaj Yousri; Kareem Moussa; Mustafa A. Elattar; Ahmed H. Madian; M. Saeed Darweesh (Evol. Syst., 2024)

Improving Cell Nuclei Segmentation in Pathological Tissues Using Self-Supervised Regression Method. - Hesham Ali 002; Mostafa A. Hammouda; Mustafa Elattar 001; Sahar Selim (IEEE Access, 2025)