Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Eric Van Bogaert"'
Autor:
Ibrahim Shawky Farahat, Ahmed Sharafeldeen, Mohammed Ghazal, Norah Saleh Alghamdi, Ali Mahmoud, James Connelly, Eric van Bogaert, Huma Zia, Tania Tahtouh, Waleed Aladrousy, Ahmed Elsaid Tolba, Samir Elmougy, Ayman El-Baz
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The proposed AI-based diagnostic system aims to predict the respiratory support required for COVID-19 patients by analyzing the correlation between COVID-19 lesions and the level of respiratory support provided to the patients. Computed tomo
Externí odkaz:
https://doaj.org/article/557e0f92acad4ebca2fb9d318705a70d
Autor:
Paul Johnson, Bachelor of Science, Ryan Anderson, Bachelor of Science, Collin Gamble, MD, Eric van Bogaert, MD, Jonathan Joshi, MD
Publikováno v:
Radiology Case Reports, Vol 18, Iss 3, Pp 1368-1371 (2023)
Acute traumatic aortic injuries are of the most lethal sequelae of penetrating thoracic injuries and require rapid detection and management. The American College of Radiology currently recommends the use of noncontrast CT, followed by computed tomogr
Externí odkaz:
https://doaj.org/article/7f40b5daf58e4fb1912228e39cd84e8c
Autor:
Bassant E. Youssef, Ahmed Alksas, Ahmed Shalaby, Ali H. Mahmoud, Eric Van Bogaert, Norah Saleh Alghamdi, Alyssa Neubacher, Sohail Contractor, Mohammed Ghazal, Adel S. Elmaghraby, Ayman El-Baz
Publikováno v:
IEEE Access, Vol 11, Pp 99807-99821 (2023)
This paper introduces an innovative model for precise extraction of lung nodules from 3D computed tomography (CT) scans. Our approach comprises two essential preprocessing stages aimed at refining search accuracy and nodule segmentation. Initially, w
Externí odkaz:
https://doaj.org/article/f9d60767e590414f981c6d2db212f21c
Autor:
Julien Radoux, Céline Lamarche, Eric Van Bogaert, Sophie Bontemps, Carsten Brockmann, Pierre Defourny
Publikováno v:
Remote Sensing, Vol 6, Iss 5, Pp 3965-3987 (2014)
Land cover is one of the essential climate variables of the ESA Climate Change Initiative (CCI). In this context, the Land Cover CCI (LC CCI) project aims at building global land cover maps suitable for climate modeling based on Earth observation by
Externí odkaz:
https://doaj.org/article/83ce54175dfa4910973368ba6c7cbb13
Autor:
Dalia Fahmy, Ahmed Alksas, Ahmed Elnakib, Ali Mahmoud, Heba Kandil, Ashraf Khalil, Mohammed Ghazal, Eric van Bogaert, Sohail Contractor, Ayman El-Baz
Publikováno v:
Cancers. 14(24)
Hepatocellular carcinoma (HCC) is the most common primary hepatic neoplasm. Thanks to recent advances in computed tomography (CT) and magnetic resonance imaging (MRI), there is potential to improve detection, segmentation, discrimination from HCC mim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d697408a3fcf1650704bc2c222351e9
https://pubmed.ncbi.nlm.nih.gov/36551606
https://pubmed.ncbi.nlm.nih.gov/36551606
Autor:
Mohamed Shehata, Rasha T. Abouelkheir, Mallorie Gayhart, Eric Van Bogaert, Mohamed Abou El-Ghar, Amy C. Dwyer, Rosemary Ouseph, Jawad Yousaf, Mohammed Ghazal, Sohail Contractor, Ayman El-Baz
Publikováno v:
Cancers. 15:2835
Globally, renal cancer (RC) is the 10th most common cancer among men and women. The new era of artificial intelligence (AI) and radiomics have allowed the development of AI-based computer-aided diagnostic/prediction (AI-based CAD/CAP) systems, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18da97265e2494e8bc2f5228e638654c
https://doi.org/10.3390/cancers15102835
https://doi.org/10.3390/cancers15102835
Autor:
Aya T. Shalata, Mohamed Shehata, Eric Van Bogaert, Khadiga M. Ali, Ahmed Alksas, Ali Mahmoud, Eman M. El-Gendy, Mohamed A. Mohamed, Guruprasad A. Giridharan, Sohail Contractor, Ayman El-Baz
Publikováno v:
Cancers. 14:5019
Bladder cancer (BC) is the 10th most common cancer globally and has a high mortality rate if not detected early and treated promptly. Non-muscle-invasive BC (NMIBC) is a subclassification of BC associated with high rates of recurrence and progression
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c02142201e0b2f40e558d37447395b3a
https://doi.org/10.3390/cancers14205019
https://doi.org/10.3390/cancers14205019
Autor:
Anubhav, Agrawal, Aly, Abayazeed, Sean Lamar, Francis, Jocelyn, Tolentino, Donald R, Ostergard, Albert, Seow, Eric, Van Bogaert, Timothy, Rose, Nicolette Elizabeth, Deveneau, Ali, Azadi
Publikováno v:
Surgical technology international. 26
Sacral colpopexy is often chosen as a reliable approach that effectively resolves vaginal vault prolapse. Advancements in minimally invasive technology, robotic and laparoscopic surgery, have helped facilitate surgical dissection and operation when p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::9e1a54cf1f2812eedee57592c13ea012
https://pubmed.ncbi.nlm.nih.gov/26055005
https://pubmed.ncbi.nlm.nih.gov/26055005
Autor:
Aly Abayazeed, Albert Seow, Timothy Rose, Jocelyn Tolentino, Sean L. Francis, Ali Azadi, Donald R. Ostergard, Nicolette E. Deveneau, Anubhav Agrawal, Eric Van Bogaert
Publikováno v:
International urogynecology journal. 26(6)
Pelvic floor disorders are becoming more prevalent in the elderly population. Since more patients are seeking definitive management for their prolapse, the number of elderly patients undergoing sacral colpopexies will likely increase. During sacral c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c34715b7288a9e93cce2ef7f1bdd211
https://pubmed.ncbi.nlm.nih.gov/25634664
https://pubmed.ncbi.nlm.nih.gov/25634664
Autor:
Carsten Brockmann, Eric Van Bogaert, Sophie Bontemps, Céline Lamarche, Pierre Defourny, Julien Radoux
Publikováno v:
Remote Sensing, Vol. 6, no.5, p. 3965-3987 (2014)
Remote Sensing
Volume 6
Issue 5
Pages: 3965-3987
Remote Sensing, Vol 6, Iss 5, Pp 3965-3987 (2014)
Remote Sensing
Volume 6
Issue 5
Pages: 3965-3987
Remote Sensing, Vol 6, Iss 5, Pp 3965-3987 (2014)
Land cover is one of the essential climate variables of the ESA Climate Change Initiative (CCI). In this context, the Land Cover CCI (LC CCI) project aims at building global land cover maps suitable for climate modeling based on Earth observation by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::723770c9e5514e65bf4cbaecd86b0198
https://hdl.handle.net/2078.1/143085
https://hdl.handle.net/2078.1/143085
