Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Mohamed Esmail Karar"'
Publikováno v:
Bioengineering, Vol 11, Iss 7, p 691 (2024)
Cardiac pacemakers are used for handling bradycardia, which is a cardiac rhythm of usually less than 60 beats per minute. Therapeutic dual-sensor pacemakers aim to preserve or restore the normal electromechanical activity of the cardiac muscle. In th
Externí odkaz:
https://doaj.org/article/5eb20ae10dd04f92b89c8ac5202e88e3
Publikováno v:
Journal of Biological Engineering, Vol 17, Iss 1, Pp 1-12 (2023)
Abstract Background Early diagnosis of Pancreatic Ductal Adenocarcinoma (PDAC) is the main key to surviving cancer patients. Urine proteomic biomarkers which are creatinine, LYVE1, REG1B, and TFF1 present a promising non-invasive and inexpensive diag
Externí odkaz:
https://doaj.org/article/99618e7177654ce8b32e16c3196f1361
Publikováno v:
Alexandria Engineering Journal, Vol 69, Iss , Pp 571-583 (2023)
Computed Tomography (CT) is one of the biomedical imaging modalities which are used to confirm COVID-19 cases and/or to identify infected areas in the lung. Therefore, this article aims at assisting this crucial radiological task by proposing squeeze
Externí odkaz:
https://doaj.org/article/892de01c399146a2b8f8f1c2ac4e210d
Autor:
Mohamed Esmail Karar, Abdel-Haleem Abdel-Aty, Fahad Algarni, Mohd Fadzil Hassan, M.A. Abdou, Omar Reyad
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 7, Pp 5309-5319 (2022)
Smart agriculture and Internet of Things (IoT) technologies have become the key points for many intelligent decision-making applications to support agricultural experts and farmers, especially for crop pest management and control. In this work, we pr
Externí odkaz:
https://doaj.org/article/a317dd398bc34cf1bfd13617742bd30b
Publikováno v:
Alexandria Engineering Journal, Vol 60, Iss 5, Pp 4423-4432 (2021)
Agricultural pests cause between 20 and 40 percent loss of global crop production every year as reported by the Food and Agriculture Organization (FAO). Therefore, smart agriculture presents the best option for farmers to apply artificial intelligenc
Externí odkaz:
https://doaj.org/article/7d73143ca4bd4a27a47dee075df27dfd
Publikováno v:
Applied Sciences, Vol 12, Iss 7, p 3276 (2022)
Remote monitoring of a fall condition or activities and daily life (ADL) of elderly patients has become one of the essential purposes for modern telemedicine. Internet of Things (IoT) and artificial intelligence (AI) techniques, including machine and
Externí odkaz:
https://doaj.org/article/a77af4e641ba489b991e77606e6341d0
Publikováno v:
Sensors, Vol 22, Iss 6, p 2348 (2022)
Blood cancer, or leukemia, has a negative impact on the blood and/or bone marrow of children and adults. Acute lymphocytic leukemia (ALL) and acute myeloid leukemia (AML) are two sub-types of acute leukemia. The Internet of Medical Things (IoMT) and
Externí odkaz:
https://doaj.org/article/680c9f9a6fff4b389b98bdf10977d11e
Publikováno v:
Computer Systems Science and Engineering. 45:2377-2389
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b43dbe6a35140227d25b165c3fccca3
https://doi.org/10.32604/csse.2023.032931
https://doi.org/10.32604/csse.2023.032931
Autor:
Ramy Ashraf Zeineldin, Jan Coburger, Mohamed Esmail Karar, Ziad Elshaer, Franziska Mathis-Ullrich, Oliver Burgert, Christian Rainer Wirtz
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery, 17 (9), 1673–1683
Purpose Artificial intelligence (AI), in particular deep neural networks, has achieved remarkable results for medical image analysis in several applications. Yet the lack of explainability of deep neural models is considered the principal restriction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::636c539d82cca3d9a2bbb5fcd0e8d4a3
https://doi.org/10.1007/s11548-022-02619-x
https://doi.org/10.1007/s11548-022-02619-x
Autor:
Christian Rainer Wirtz, Ziad Elshaer, Markus Schmidhammer, Jan Coburger, Mohamed Esmail Karar, Franziska Mathis-Ullrich, Oliver Burgert, Ramy A. Zeineldin
Publikováno v:
IEEE Access, Vol 9, Pp 147579-147590 (2021)
IEEE Access, 9, 147579-147590
IEEE Access, 9, 147579-147590
Accurate and safe neurosurgical intervention can be affected by intra-operative tissue deformation, known as brain-shift. In this study, we propose an automatic, fast, and accurate deformable method, called iRegNet, for registering pre-operative magn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aac04b9271068ef0f60772f91d4d2f39
https://ieeexplore.ieee.org/document/9570282/
https://ieeexplore.ieee.org/document/9570282/