Mohamed Shehata

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2019
Позовавания	1502	1313
h-индекс	21	20
i10-индекс	33	32

340

170

255

20162017201820192020202120222023202437 36 113 185 90 201 227 267 331

Публичен достъп

Преглед на всички

5 статии

4 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

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

Следене

Mohamed Shehata

Computer Science and Engineering, PhD

Потвърден имейл адрес: louisville.edu

Medical Image Analysis Machine Learning Big Data Artificial Intelligence Computer Vision


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
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	104	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	91	2017
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	84	2019
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	83	2015
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
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	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	69	2016
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	68	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	67	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	67	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	56	2016
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	54	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	51	2021
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	51	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	40	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	35	2015
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
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	29	2020
A new framework for precise identification of prostatic adenocarcinoma SM Ayyad, MA Badawy, M Shehata, A Alksas, A Mahmoud, ... Sensors 22 (5), 1848, 2022	25	2022
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	24	2023

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