Dr. Mostafa El Attar

short bio

Mustafa Elattar was born in Cairo, Egypt in 1986. He attended Cairo University, Cairo, Egypt to obtain his bachelor’s degree in Systems and Biomedical Engineering in 2008. Mustafa joined the Medical Imaging and Image Processing research group at Nile University, Giza, Egypt as a research assistant. In 2010, he obtained his master’s degree in Communication and Information Technology after conducting image analysis research for cardiac imaging. He received his Ph.D. in Biomedical Engineering and Physics, Medicine in 2016 from the Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands, after developing a preoperative planning framework for transcatheter aortic valve implantation. In 2015 he joined the Netherlands Cancer Institute (NKI) as a postdoctoral fellow, where he conducted research for image-guided radiotherapy. In August 2017, Mustafa joined Nile University as an assistant professor at the Information Technology and Computer Science School. Also, he is currently leading the medical imaging and image processing research group focusing on incorporating deep neural networks in 2D and 3D medical image analysis contexts. Mustafa has more than 25 journal articles and conference publications. On the professional side, Mustafa worked in the research and development division at Diagnosoft Inc., 3mensio B.V., PieMedical N.V., and Myocardial Solutions Inc.

 

 

 

 

research tracks

courses

Co-authors

1)  Henk Marquering: Associate Professor Biomedical Engineering & Physics, Radiology & Nuclear Medicine, Amsterdam UMC

2) Ahmed S Fahmy: BIDMC Harvard Medical School

3) Ed vanbavel: Unknown affiliation

4) Avan Suinesiaputra: University of Leeds, UK

5) Ján Margeta: Founder, KardioMe

awards

activities

Publications

Saber M., Abdelrauof D., Elattar M., “Multi-center, Multi-vendor, and Multi-disease Cardiac Image Segmentation Using Scale-Independent Multi-gate UNET”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2021, Doi:10.1007/978-3-030-68107-4_262021Conference Paper
Ali G., Shahin A., Elhadidi M., Elattar M., “Convolutional Neural Network with Attention Modules for Pneumonia Detection”, 2020 International Conference on Innovation and Intelligence for Informatics, Computing and Technologies, 3ICT 2020, 2020, Doi:10.1109/3ICT51146.2020.93119852020Conference Paper
Emam M., Ali A., Abdelrazik E., Elattar M., El-Hadidi M., “Detection of Mammalian Coding Sequences Using a Hybrid Approach of Chaos Game Representation and Machine Learning”, Proceedings – 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, 2020, Doi:10.1109/BIBM49941.2020.93134972020Conference Paper
Youssef A., Elattar M., El-Beltagy S.R., “A Multi-Embeddings Approach Coupled with Deep Learning for Arabic Named Entity Recognition”, 2nd Novel Intelligent and Leading Emerging Sciences Conference, NILES 2020, 2020, Doi:10.1109/NILES50944.2020.92579752020Conference Paper
Amin A., Bahnasy S., Elhadidy A., Elattar M., “Real-time 4-way Intersection Smart Traffic Control System”, 2nd Novel Intelligent and Leading Emerging Sciences Conference, NILES 2020, 2020, Doi:10.1109/NILES50944.2020.92579492020Conference Paper
Saber M., Abdelrauof D., Elattar M., “Left ventricle segmentation using scale-independent multi-gate unet in mri images”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, Doi:10.1007/978-3-030-55789-8_412020Conference Paper
Abdelrauof D., Essam M., Elattar M., “Lvlnet: Lightweight left ventricle localizer using encoder-decoder neural network”, NILES 2019 – Novel Intelligent and Leading Emerging Sciences Conference, 2019, Doi:10.1109/NILES.2019.89093202019Conference Paper
Shahin A.H., Amer K., Elattar M.A., “Deep convolutional encoder-decoders with aggregated multi-resolution skip connections for skin lesion segmentation”, Proceedings – International Symposium on Biomedical Imaging, 2019, Doi:10.1109/ISBI.2019.87591722019Conference Paper
Shahin A.H., Kamal A., Elattar M.A., “Deep Ensemble Learning for Skin Lesion Classification from Dermoscopic Images”, 2018 9th Cairo International Biomedical Engineering Conference, CIBEC 2018 – Proceedings, 2019, Doi:10.1109/CIBEC.2018.86418152019Conference Paper
Elattar M.A., Kaya A., Planken N.R., Baan J., Vanbavel E.T., De Mol B.A.J.M., Marquering H.A., “A computed tomography-based planning tool for predicting difficulty of minimally invasive aortic valve replacement”, Interactive Cardiovascular and Thoracic Surgery, Vol. 27, pp 505 to 511, 2018, Doi:10.1093/icvts/ivy1282018Article
Elattar M.A., Vink L.W., Van Mourik M.S., Baan J., Jr., Vanbavel E.T., Planken R.N., Marquering H.A., “Dynamics of the aortic annulus in 4D CT angiography for transcatheter aortic valve implantation patients”, PLoS ONE, Vol. 12, 2017, Doi:10.1371/journal.pone.01841332017Article
van Kesteren F., Elattar M.A., van Lienden K.P., Baan J., Jr., Marquering H.A., Planken R.N., “Non-contrast enhanced navigator-gated balanced steady state free precession magnetic resonance angiography as a preferred magnetic resonance technique for assessment of the thoracic aorta”, Clinical Radiology, Vol. 72, pp 6950 to 695000000, 2017, Doi:10.1016/j.crad.2017.03.0032017Article
Elattar M.A., van Kesteren F., Wiegerinck E.M., Vanbavel E., Baan J., Cocchieri R., de Mol B., Planken N.R., Marquering H.A., “Automated CTA based measurements for planning support of minimally invasive aortic valve replacement surgery”, Medical Engineering and Physics, Vol. 39, pp 123 to 128, 2017, Doi:10.1016/j.medengphy.2016.11.0022017Article
Elattar M., Wiegerinck E., van Kesteren F., Dubois L., Planken N., Vanbavel E., Baan J., Marquering H., “Automatic aortic root landmark detection in CTA images for preprocedural planning of transcatheter aortic valve implantation”, International Journal of Cardiovascular Imaging, Vol. 32, pp 501 to 511, 2016, Doi:10.1007/s10554-015-0793-92016Article
Elattar M., van Kesteren F., Wiegerinck E., van Bavel E., Baan J., Cocchieri R., Planken N., Marquering H., “Automatic planning of minimally invasive aortic valve replacement surgery”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, Doi:10.1007/978-3-319-20801-5_602015Conference Paper
Elattar M., Wiegerinck E., Van Kesteren F., Dubois L., Planken N., Vanbavel E., Baan J., Marquering H., “Automated detection of aortic root landmarks in preprocedure CT angiography images for transcatheter aortic valve implantation patients”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, Doi:10.1007/978-3-319-20801-5_442015Conference Paper
Elattar M.A., Wiegerinck E.M., Planken R.N., Vanbavel E., Van Assen H.C., Baan Jr. J., Marquering H.A., “Automatic segmentation of the aortic root in CT angiography of candidate patients for transcatheter aortic valve implantation”, Medical and Biological Engineering and Computing, Vol. 52, pp 611 to 618, 2014, Doi:10.1007/s11517-014-1165-72014Article
Wiegerinck E.M.A., Marquering H.A., Oldenburger N.Y., Elattar M.A., Planken R.N., De Mol B.A.J.M., Piek J.J., Baan Jr. J., “Imaging for approach selection of TAVI: Assessment of the aorto-iliac tract diameter by computed tomography-angiography versus projection angiography”, International Journal of Cardiovascular Imaging, Vol. 30, pp 399 to 405, 2014, Doi:10.1007/s10554-013-0343-22014Article
Suinesiaputra A., Cowan B.R., Al-Agamy A.O., Elattar M.A., Ayache N., Fahmy A.S., Khalifa A.M., Medrano-Gracia P., Jolly M.-P., Kadish A.H., Lee D.C., Margeta J., Warfield S.K., Young A.A., “A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images”, Medical Image Analysis, Vol. 18, pp 50 to 62, 2014, Doi:10.1016/j.media.2013.09.0012014Article
Elattar M., Wiegerinck E., Planken N., vanbavel E., van Assen H., Baan J., Marquering H., “Automated normalized cut segmentation of aortic root in CT angiography”, IFMBE Proceedings, 2014, Doi:10.1007/978-3-319-00846-2_4492014Conference Paper
AlAttar M.A., Osman N.F., Fahmy A.S., “Segmentation of left ventricle in cardiac MRI images using adaptive multi-seeded region growing”, 2010 5th Cairo International Biomedical Engineering Conference, CIBEC 2010, 2010, Doi:10.1109/CIBEC.2010.57160572010Conference Paper
Alattar M.A., Osman N.F., Fahmy A.S., “Myocardial segmentation using constrained multi-seeded region growing”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2010, Doi:10.1007/978-3-642-13775-4_102010Conference Paper
Motaal A.G., Al-Attar M.A., Osman N.F., Fahmy A.S., “Cardiac MRI steam images denoising using bayes classifier”, 2008 Cairo International Biomedical Engineering Conference, CIBEC 2008, 2008, Doi:10.1109/CIBEC.2008.47860562008Conference Paper
AlAttar M.A., Motaal A.G., Osman N.F., Fahmy A.S., “Performance evaluation of cardiac MRI image denoising techniques”, 2008 Cairo International Biomedical Engineering Conference, CIBEC 2008, 2008, Doi:10.1109/CIBEC.2008.47860552008Conference Paper