Mohamed Shehata

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	Visi	Nuo 2020
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Bendraautoriai

Ayman El-BazProf. and Chair of Bioengineering Department, Distinguished University Scholar, FPatvirtintas el. paštas louisville.edu
Mohammed GhazalDirector of Research Institute for AI and Emerging Technology; Associate Dean; Abu Dhabi UniversityPatvirtintas el. paštas adu.ac.ae
Mohamed Abou El-GharProfessor of radiodiagnosis, Urology & Nephrology Center- Mansoura University, EgypyPatvirtintas el. paštas mans.edu.eg
Fahmi KhalifaAssistant ProfessorPatvirtintas el. paštas morgan.edu
Ahmed SolimanMansoura UniversityPatvirtintas el. paštas mans.edu.eg
Robert KeyntonBioengineering, University of LouisvillePatvirtintas el. paštas louisville.edu
Ahmed ShalabyPatvirtintas el. paštas utsouthwestern.edu
Moumen El-MelegyProfessor of Computer Engineering, Assiut University, EgyptPatvirtintas el. paštas aun.edu.eg
Ahmed ShaffieAssistant Professor , Louisiana State University at Alexandria, Alexandria, LA, USAPatvirtintas el. paštas lsua.edu
Ashraf KhalilProfessor, College of Technological Innovation, Zayed UniversityPatvirtintas el. paštas zu.ac.ae
Prof. Fatma TaherProfessor & Director, NextGen Center, in the college of TechnologicalPatvirtintas el. paštas zu.ac.ae
Adel ElmaghrabyUniversity of Louisville - Computer Science and EngineeringPatvirtintas el. paštas louisville.edu
Guruprasad A. GiridharanProfessor and Associate Chair of Bioengineering, University of LouisvillePatvirtintas el. paštas exchange.louisville.edu
Georgy Gimel'farbUniversity of Auckland, Auckland, New ZealandPatvirtintas el. paštas auckland.ac.nz
Hassan HajjdiabConcordia UniversityPatvirtintas el. paštas ieee.org
Ali TakieldeenFaculty of Artificial Intelligence - Delta University for Science and TechnologyPatvirtintas el. paštas deltauniv.edu.eg
Ehsan Hosseini-AslSenior Deep Learning Scientist at NvidiaPatvirtintas el. paštas nvidia.com
Michael MerchantProfessor of Medicine, University of LouisvillePatvirtintas el. paštas louisville.edu
Luay FraiwanJordan University of Science and TechnologyPatvirtintas el. paštas just.edu.jo
Samineh Mesbah, Ph.D.Medpace

Stebėti

Mohamed Shehata

Computer Science and Engineering, PhD

Patvirtintas el. paštas louisville.edu

Medical Image Analysis Machine Learning Big Data Artificial Intelligence Computer Vision


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Clinical applications of artificial intelligence and radiomics in neuro-oncology imaging AAK Abdel Razek, A Alksas, M Shehata, A AbdelKhalek, K Abdel Baky, ... Insights into imaging 12, 1-17, 2021	119	2021
Towards non-invasive diagnostic techniques for early detection of acute renal transplant rejection: A review E Hollis, M Shehata, F Khalifa, MA El-Ghar, T El-Diasty, A El-Baz The Egyptian Journal of Radiology and Nuclear Medicine, 2017	93	2017
A level set-based framework for 3D kidney segmentation from diffusion MR images M Shehata, F Khalifa, A Soliman, R Alrefai, M Abou El-Ghar, AC Dwyer, ... ICIP, 4441--4445, 2015	88	2015
A novel CNN-based CAD system for early assessment of transplanted kidney dysfunction H Abdeltawab, M Shehata, A Shalaby, F Khalifa, A Mahmoud, MA El-Ghar, ... Scientific reports 9 (1), 5948, 2019	87	2019
Kidney Segmentation from CT Images Using A 3D NMF-Guided Active Contour Model F Khalifa, A Soliman, A Takieldeen, M Shehata, M Moustapha, A Shaffie, ... ISBI, 432--435, 2016	77	2016
3D kidney segmentation from abdominal diffusion MRI using an appearance-guided deformable boundary M Shehata, A Mahmoud, A Soliman, F Khalifa, M Ghazal, M Abou El-Ghar, ... PloS one 13 (7), e0200082, 2018	74	2018
A new non-invasive approach for early classification of renal rejection types using diffusion-weighted MRI M Shehata, F Khalifa, E Hollis, A Soliman, E Hosseini-Asl, ... 2016 IEEE International Conference on Image Processing (ICIP), 136-140, 2016	73	2016
A promising non-invasive cad system for kidney function assessment M Shehata, F Khalifa, A Soliman, MA El-Ghar, A Dwyer, G Gimel’Farb, ... Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016	71	2016
Computer-aided diagnostic system for early detection of acute renal transplant rejection using diffusion-weighted MRI M Shehata, F Khalifa, A Soliman, M Ghazal, F Taher, M Abou El-Ghar, ... IEEE Transactions on Biomedical Engineering 66 (2), 539-552, 2018	70	2018
3D Diffusion MRI-Based CAD System for Early Diagnosis of Acute Renal Rejection M Shehata, F Khalifa, A Soliman, A Takieldeen, M Abou El-Ghar, ... ISBI, 1177--1180, 2016	69	2016
Early Assessment of Acute Renal Rejection M Shehata, F Khalifa, A Soliman, M Abou El-Ghar, AC Dwyer, R Ouseph, ... 12th ASDIN (American Society of Diagnostic and Interventional Nephrology), 2016	58	2016
Role of AI and histopathological images in detecting prostate cancer: a survey SM Ayyad, M Shehata, A Shalaby, M Abou El-Ghar, M Ghazal, ... Sensors 21 (8), 2586, 2021	57	2021
Assessment of Renal Transplant Using Image and Clinical-based Biomarkers M Shehata, F Khalifa, A Soliman, M Abou El-Ghar, A C. Dwyer, ... ‘Abstracts from the American Society of Diagnostic and Interventional …, 2017	57	2017
A novel computer-aided diagnostic system for accurate detection and grading of liver tumors A Alksas, M Shehata, GA Saleh, A Shaffie, A Soliman, M Ghazal, A Khelifi, ... Scientific reports 11 (1), 13148, 2021	55	2021
A comprehensive computer-assisted diagnosis system for early assessment of renal cancer tumors M Shehata, A Alksas, RT Abouelkheir, A Elmahdy, A Shaffie, A Soliman, ... Sensors 21 (14), 4928, 2021	42	2021
A novel framework for automatic segmentation of kidney from DW-MRI M Shehata, F Khalifa, A Soliman, R Alrefai, M Abou El-Ghar, AC Dwyer, ... ISBI, 951--954, 2015	36	2015
A multimodal computer‐aided diagnostic system for precise identification of renal allograft rejection: preliminary results M Shehata, A Shalaby, AE Switala, M El‐Baz, M Ghazal, L Fraiwan, ... Medical physics 47 (6), 2427-2440, 2020	30	2020
Statistical analysis of ADCs and clinical biomarkers in detecting acute renal transplant rejection E Hollis, M Shehata, M Abou El-Ghar, M Ghazal, T El-Diasty, M Merchant, ... The British journal of radiology 90 (1080), 20170125, 2017	30	2017
Prediction of wilms’ tumor susceptibility to preoperative chemotherapy using a novel computer-aided prediction system I Sharaby, A Alksas, A Nashat, HM Balaha, M Shehata, M Gayhart, ... Diagnostics 13 (3), 486, 2023	28	2023
A new framework for precise identification of prostatic adenocarcinoma SM Ayyad, MA Badawy, M Shehata, A Alksas, A Mahmoud, ... Sensors 22 (5), 1848, 2022	26	2022

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