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ORCIDMustafa A. Alattar
Person information
- affiliation: Nile University, Center for Informatics Science, Cairo, Egypt
Other persons with the same name
- Mustafa Elattar — disambiguation page
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2020 – today
- 2025
[j10]Hesham Ali, Mostafa A. Hammouda
, Mustafa Elattar, Sahar Selim:
Improving Cell Nuclei Segmentation in Pathological Tissues Using Self-Supervised Regression Method. IEEE Access 13: 111115-111133 (2025)- [j9]Nour H. Marzouk, Sahar Selim, Mustafa Elattar, Mai S. Mabrouk, Mohamed Mysara:
A comprehensive landscape of AI applications in broad-spectrum drug interaction prediction: a systematic review. J. Cheminformatics 17(1): 141 (2025) - [i6]Eyad Gad, Mustafa Abou Khatwa, Mustafa A. Elattar, Sahar Selim:
A Novel Approach to Breast Cancer Segmentation using U-Net Model with Attention Mechanisms and FedProx. CoRR abs/2510.19118 (2025) - 2024
- [j8]Retaj Yousri, Kareem Moussa, Mustafa A. Elattar, Ahmed H. Madian, M. Saeed Darweesh:
A novel data augmentation approach for ego-lane detection enhancement. Evol. Syst. 15(3): 1021-1032 (2024) - [j7]Ammar Sherif, Abubakar Abid, Mustafa Elattar, Mohamed Elhelw:
STG-MTL: scalable task grouping for multi-task learning using data maps. Mach. Learn. Sci. Technol. 5(2): 25068 (2024) - [i5]Salma J. Ahmed, Mustafa A. Elattar:
Improving Targeted Molecule Generation through Language Model Fine-Tuning Via Reinforcement Learning. CoRR abs/2405.06836 (2024) - [i4]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, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze:
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR abs/2405.18435 (2024) - 2023
- [c22]Yasmin E. Younis, Sahar Fawzi, Mustafa Elattar:
Transfer Learning in Segmenting Myocardium Perfusion Images. MEDI Workshops 2023: 121-129 - [c21]Peter E. Salah, Merna Bibars, Ayman Eldeib, Ahmed M. Ghanem, Ahmed M. Gharib, Khaled Z. Abd-Elmoniem, Mustafa A. Elattar, Inas A. Yassine:
Iterative Refinement Algorithm for Liver Segmentation Ground-Truth Generation Using Fine-Tuning Weak Labels for CT and Structural MRI. MIUA 2023: 33-47 - [c20]Marwan Khaled, Mostafa A. Hammouda, Hesham Ali, Mustafa Elattar, Sahar Selim:
Efficient Semantic Segmentation of Nuclei in Histopathology Images Using Segformer. MIUA 2023: 81-95 - [c19]Merna Bibars, Peter E. Salah, Ayman Eldeib, Mustafa A. Elattar, Inas A. Yassine:
Cross-Modality Deep Transfer Learning: Application to Liver Segmentation in CT and MRI. MIUA 2023: 96-110 - [c18]Mostafa A. Hammouda, Marwan Khaled, Hesham Ali, Sahar Selim, Mustafa Elattar:
Revolutionizing Cancer Diagnosis Through Hybrid Self-supervised Deep Learning: EfficientNet with Denoising Autoencoder for Semantic Segmentation of Histopathological Images. MIUA 2023: 197-214 - [c17]Eyad Gad, Mustafa Abou Khatwa, Mustafa A. Elattar, Sahar Selim:
A Novel Approach to Breast Cancer Segmentation Using U-Net Model with Attention Mechanisms and FedProx. MIUA 2023: 310-324 - [i3]Ammar Sherif, Abubakar Abid, Mustafa Elattar, Mohamed ElHelw:
STG-MTL: Scalable Task Grouping for Multi-Task Learning Using Data Map. CoRR abs/2307.03374 (2023) - 2022
- [j6]Ibrahim H. El-Shal, Omar M. Fahmy, Mustafa A. Elattar:
License Plate Image Analysis Empowered by Generative Adversarial Neural Networks (GANs). IEEE Access 10: 30846-30857 (2022) - [j5]Aya Gamal, Mustafa A. Alattar, Sahar Selim:
Automatic Early Diagnosis of Alzheimer's Disease Using 3D Deep Ensemble Approach. IEEE Access 10: 115974-115987 (2022) - [c16]Aya Gamal, Mustafa A. Elattar, Sahar Selim:
Does Deep Learning Require Image Registration for Early Prediction of Alzheimer's Disease? A Comparative Study Using ADNI Database. MEDI Workshops 2022: 3-11 - [c15]Kareem Elgohary, Samar Ibrahim, Sahar Selim, Mustafa A. Elattar:
A CAD System for Lung Cancer Detection Using Chest X-ray: A Review. MEDI Workshops 2022: 12-25 - [c14]Eyad Gad, Aya Gamal, Mustafa A. Elattar, Sahar Selim:
A Novel Diagnostic Model for Early Detection of Alzheimer's Disease Based on Clinical and Neuroimaging Features. MEDI 2022: 26-39 - [c13]Heba Ali, Mustafa A. Elattar, Walid Al-Atabany, Sahar Selim:
Differentiation Between Normal and Abnormal Functional Brain Connectivity Using Non-directed Model-Based Approach. MEDI Workshops 2022: 89-102 - [c12]Salma Jamal, Salma Khaled, Aly M. Kassem, Ayaalla Eltabey, Alaa Osama, Samah Mohamed, Mustafa A. Elattar:
In the Identification of Arabic Dialects: A Loss Function Ensemble Learning Based-Approach. MEDI 2022: 89-101 - [c11]Samar Ibrahim, Kareem Elgohary, Mahmoud Higazy, Thanaa Mohannad, Sahar Selim, Mustafa A. Alattar:
Lung Segmentation Using ResUnet++ Powered by Variational Auto Encoder-Based Enhancement in Chest X-ray Images. MIUA 2022: 339-356 - [c10]Hesham Ali, Mustafa A. Alattar, Sahar Selim:
A Multi-scale Self-supervision Method for Improving Cell Nuclei Segmentation in Pathological Tissues. MIUA 2022: 751-763 - [c9]Hossam Mohamed Sarhan, Hesham Ali, Eman Ehab, Sahar Selim, Mustafa Elattar:
Efficient Pipeline for Rapid Detection of Catheters and Tubes in Chest Radiographs. MIUA 2022: 882-891 - [c8]Salma Zakzouk, Aya Saafan, Menna-allah Sayed, Mustafa A. Elattar, M. Saeed Darweesh:
Light-Weight Food/Non-Food Classifier for Real-Time Applications. NILES 2022: 298-301 - [i2]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, Sikolia Z. Wanyonyi, Marleen Temmerman, Kamil Wojciech Mikolaj, Martin Grønnebæk Tolsgaard, Karim Lekadir:
Generalisability of deep learning models in low-resource imaging settings: A fetal ultrasound study in 5 African countries. CoRR abs/2209.09610 (2022) - 2021
- [j4]Retaj Yousri, Mustafa A. Elattar, M. Saeed Darweesh:
A Deep Learning-Based Benchmarking Framework for Lane Segmentation in the Complex and Dynamic Road Scenes. IEEE Access 9: 117565-117580 (2021) - [j3]Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. W. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir:
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 40(12): 3543-3554 (2021) - [c7]Amr Medhat, Mustafa A. Elattar, Omar M. Fahmy:
LTE Uplink Interference Inspection Using Convolutional Neural Networks. NILES 2021: 318-322 - 2020
- [c6]Mina Saber, Dina Abdelrauof, Mustafa Elattar:
Left Ventricle Segmentation Using Scale-Independent Multi-Gate UNET in MRI Images. IEA/AIE 2020: 470-477 - [c5]Mina Saber, Dina Abdelrauof, Mustafa Elattar:
Multi-center, Multi-vendor, and Multi-disease Cardiac Image Segmentation Using Scale-Independent Multi-gate UNET. M&Ms and EMIDEC/STACOM@MICCAI 2020: 259-268
2010 – 2019
- 2019
- [c4]Ahmed H. Shahin, Karim Amer, Mustafa A. Elattar:
Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation. ISBI 2019: 451-454 - [i1]Ahmed H. Shahin, Karim Amer, Mustafa A. Elattar:
Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation. CoRR abs/1901.09197 (2019) - 2015
- [c3]Mustafa A. Elattar, Esther Wiegerinck, Floortje van Kesteren, Lucile Dubois, Nils Planken, Ed VanBavel, Jan Baan, Henk A. Marquering:
Automated Detection of Aortic Root Landmarks in Preprocedure CT Angiography Images for Transcatheter Aortic Valve Implantation Patients. ICIAR 2015: 402-410 - [c2]Mustafa A. Elattar, Floortje van Kesteren, Esther Wiegerinck, Ed van Bavel, Jan Baan, Riccardo Cocchieri, Nils Planken, Henk A. Marquering:
Automatic Planning of Minimally Invasive Aortic Valve Replacement Surgery. ICIAR 2015: 536-540 - 2014
- [j2]Mustafa A. Elattar, E. M. Wiegerinck, R. N. Planken, Ed VanBavel, Hans C. van Assen, Jan Baan, Henk A. Marquering:
Automatic segmentation of the aortic root in CT angiography of candidate patients for transcatheter aortic valve implantation. Medical Biol. Eng. Comput. 52(7): 611-618 (2014) - [j1]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, Ján Margeta, Simon K. Warfield, Alistair A. Young:
A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images. Medical Image Anal. 18(1): 50-62 (2014) - 2010
- [c1]Mustafa A. Alattar, Nael F. Osman, Ahmed S. Fahmy:
Myocardial Segmentation Using Constrained Multi-Seeded Region Growing. ICIAR (2) 2010: 89-98
Coauthor Index
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