Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Michael Amissah"'
Autor:
Marcelo Saito Nogueira, Siddra Maryam, Michael Amissah, Huihui Lu, Noel Lynch, Shane Killeen, Micheal O’Riordain, Stefan Andersson-Engels
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-17 (2021)
Abstract Colorectal cancer (CRC) is the third most common type of cancer worldwide and the second most deadly. Recent research efforts have focused on developing non-invasive techniques for CRC detection. In this study, we evaluated the diagnostic ca
Externí odkaz:
https://doaj.org/article/ec970c191cf342dda770333598b21895
Autor:
Marcelo Saito Nogueira, Siddra Maryam, Michael Amissah, Andrew McGuire, Chloe Spillane, Shane Killeen, Stefan Andersson-Engels, Micheal O’Riordain
Publikováno v:
Cancers, Vol 14, Iss 22, p 5715 (2022)
Colorectal cancer (CRC) is the third most common and second most deadly type of cancer worldwide. Early detection not only reduces mortality but also improves patient prognosis by allowing the use of minimally invasive techniques to remove cancer whi
Externí odkaz:
https://doaj.org/article/f8ba8e854910402db71ea0295e1f3ddf
Autor:
Eric Oduro-Ofori, Michael Amissah, Kafui Afi Ocloo, Akosua Baah Kwarteng Amaka-Otchere, Simon Kwabena Dankyi, Benjamin Doe
Publikováno v:
GeoJournal.
Autor:
Marcelo Saito Nogueira, Michael Raju, Jacqueline E. Gunther, Siddra Maryam, Michael Amissah, Shane Killeen, Huihui Lu, Micheal O’Riordain, Stefan Andersson-Engels
Publikováno v:
Molecular-Guided Surgery: Molecules, Devices, and Applications VIII.
Autor:
Marcelo Saito Nogueira, Siddra Maryam, Michael Amissah, Huihui Lu, Noel Lynch, Shane Killeen, Micheal O'Riordain, Stefan Andersson-Engels
Publikováno v:
Optical Biopsy XX: Toward Real-Time Spectroscopic Imaging and Diagnosis.
Autor:
Shane Killeen, Marcelo Saito Nogueira, Michael Amissah, Noel P. Lynch, Stefan Andersson-Engels, Huihui Lu, Micheal O’Riordain, Siddra Maryam
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-17 (2021)
Scientific Reports
Scientific Reports
Colorectal cancer (CRC) is the third most common type of cancer worldwide and the second most deadly. Recent research efforts have focused on developing non-invasive techniques for CRC detection. In this study, we evaluated the diagnostic capabilitie
Publikováno v:
Scopus-Elsevier
A 2D modelling study is presented on the transmission enhancement by iterative optical phase conjugation through diffusive random media. Factors affecting coherent control for enhancing the total transmission is discussed.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56f3abcdc945550f860cd7c098e9ad2d
https://hdl.handle.net/10468/11796
https://hdl.handle.net/10468/11796
Autor:
Marcelo Saito Nogueira, Huihui Lu, Micheal O’Riordain, Siddra Maryam, Shane Killeen, Michael Amissah, Stefan Andersson-Engels, Edmund Manning
Publikováno v:
Optical Interactions with Tissue and Cells XXXI.
Even though recent advances in medical devices have significantly improved clinical interventions, more accurate differentiation of biological tissues is still required to improve clinical decision-making. Tissue identification can be performed by us
Autor:
Micheal O’Riordain, Siddra Maryam, Michael Raju, Shane Killeen, Michael Amissah, Jacqueline Gunther, Huihui Lu, Marcelo Saito Nogueira, Stefan Andersson-Engels
Publikováno v:
Journal of Physics D: Applied Physics. 54:454002
Colorectal cancer (CRC) is the 3rd most common and the 2nd most deadly type of cancer worldwide. Understanding the biochemical and microstructural aspects of carcinogenesis is a critical step towards developing new technologies for accurate CRC detec
Autor:
Marcelo Saito Nogueira, Michael Amissah, Siddra Maryam, Noel Lynch, Shane Killeen, Michael O'Riordain, Stefan Andersson-Engels
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ca82410ffb98b304b4982993c80f74e
http://www.scopus.com/inward/record.url?eid=2-s2.0-85119417735&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85119417735&partnerID=MN8TOARS