Zobrazeno 1 - 10
of 503
pro vyhledávání: '"Andrew, Nisbet"'
Autor:
M. Prabodhi A. Nanayakkara, Qiao He, Arvydas Ruseckas, Anushanth Karalasingam, Lidija Matjacic, Mateus G. Masteghin, Laura Basiricò, Ilaria Fratelli, Andrea Ciavatti, Rachel C. Kilbride, Sandra Jenatsch, Andrew J. Parnell, Beatrice Fraboni, Andrew Nisbet, Martin Heeney, K. D. G. Imalka Jayawardena, S. Ravi P. Silva
Publikováno v:
Advanced Science, Vol 10, Iss 35, Pp n/a-n/a (2023)
Abstract Organic semiconductors are a promising material candidate for X‐ray detection. However, the low atomic number (Z) of organic semiconductors leads to poor X‐ray absorption thus restricting their performance. Herein, the authors propose a
Externí odkaz:
https://doaj.org/article/c69742337c0e4fb1b25732e3e62ad859
Autor:
Jane Collins, Andrew Nisbet
Publikováno v:
Theatre and Performance Design ISBN: 9780203124291
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbf4e3d7e92b27c4dd4e7b27cc54eaa6
https://doi.org/10.4324/9780203124291-8
https://doi.org/10.4324/9780203124291-8
Autor:
Hannah Mary T. Thomas, Helen Y. C. Wang, Amal Joseph Varghese, Ellen M. Donovan, Chris P. South, Helen Saxby, Andrew Nisbet, Vineet Prakash, Balu Krishna Sasidharan, Simon Pradeep Pavamani, Devakumar Devadhas, Manu Mathew, Rajesh Gunasingam Isiah, Philip M. Evans
Publikováno v:
Applied Sciences, Vol 13, Iss 12, p 7291 (2023)
Radiomics involves the extraction of information from medical images that are not visible to the human eye. There is evidence that these features can be used for treatment stratification and outcome prediction. However, there is much discussion about
Externí odkaz:
https://doaj.org/article/0cdf1f7b4d024fe09bb258e82f0b1378
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 19, Iss , Pp 33-38 (2021)
Background and purpose: Dose delivered during radiotherapy has uncertainty arising from a number of sources including machine calibration, treatment planning and delivery and can impact outcomes. Any systematic uncertainties will impact all patients
Externí odkaz:
https://doaj.org/article/9ef47abc10784e4f853f2d6d8e913eb8
Multivariate log file analysis for multi-leaf collimator failure prediction in radiotherapy delivery
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 15, Iss , Pp 72-76 (2020)
Background and Purpose: Motor failure in multi-leaf collimators (MLC) is a common reason for unscheduled accelerator maintenance, disrupting the workflow of a radiotherapy treatment centre. Predicting MLC replacement needs ahead of time would allow f
Externí odkaz:
https://doaj.org/article/8fb7691dedec4abb93c4a2d952afcccf
Autor:
Andrew Wood
Publikováno v:
New Theatre Quarterly. 28:100-100
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b45e463e763f431ccb56f1c8f0566171
https://doi.org/10.1017/s0266464x12000115
https://doi.org/10.1017/s0266464x12000115
Autor:
Kamalram Thippu Jayaprakash, MSc, MRCP (UK), FRCR, MD, Mohammad Hussein, BSc, MSc, PhD, Richard Shaffer, MRCP (UK), FRCR, Agnieszka Michael, PhD, Andrew Nisbet, MSc, PhD, Mazhar Ajaz, MRCP (UK), FRCR, PhD
Publikováno v:
Advances in Radiation Oncology, Vol 6, Iss 2, Pp 100622- (2021)
Purpose: The scope of radiation therapy is limited in melanoma. Using in vitro melanoma models, we investigated a Notch signaling inhibitor as a radiosensitizer to explore its potential to improve the efficacy of radiation therapy to widen the clinic
Externí odkaz:
https://doaj.org/article/26e6affc573b4ff7bcca4613424babb2
Autor:
Priyanka Gupta, Pedro A. Pérez-Mancera, Hemant Kocher, Andrew Nisbet, Giuseppe Schettino, Eirini G. Velliou
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
With a very low survival rate, pancreatic ductal adenocarcinoma (PDAC) is a deadly disease. This has been primarily attributed to (i) its late diagnosis and (ii) its high resistance to current treatment methods. The latter specifically requires the d
Externí odkaz:
https://doaj.org/article/81e8a19adb4d4d8ea870c3e98e1dbf14
Publikováno v:
Applied Sciences, Vol 12, Iss 2, p 725 (2022)
Artificial Intelligence (AI) has been widely employed in the medical field in recent years in such areas as image segmentation, medical image registration, and computer-aided detection. This study explores one application of using AI in adaptive radi
Externí odkaz:
https://doaj.org/article/5032e196d06f432ebf69339a01ac5cbb
Autor:
Kamalram Thippu Jayaprakash, Denis Mostafa, Mohammad Hussein, Richard Shaffer, Agnieszka Michael, Mazhar Ajaz, Andrew Nisbet
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 1456 (2022)
We designed and developed a multiwell tissue culture plate irradiation setup, and intensity modulated radiotherapy plans were generated for 96-, 24-, and 6-well tissue culture plates. We demonstrated concordance between planned and measured/imaged ra
Externí odkaz:
https://doaj.org/article/6153af5637c94edb9c471016e341f794