Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Abhishta Bhandari"'
Publikováno v:
Insights into Imaging, Vol 11, Iss 1, Pp 1-9 (2020)
Abstract The introduction of quantitative image analysis has given rise to fields such as radiomics which have been used to predict clinical sequelae. One growing area of interest for analysis is brain tumours, in particular glioblastoma multiforme (
Externí odkaz:
https://doaj.org/article/6407d5a3fcf04878bf5ca25f1f680840
Publikováno v:
Neuroradiology. 65:907-913
Purpose The Checklist for Artificial Intelligence in Medical Imaging (CLAIM) is a recently released guideline designed for the optimal reporting methodology of artificial intelligence (AI) studies. Gliomas are the most common form of primary malignan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::344aa56625c8e19bf4ee1c5f5d8267c7
https://doi.org/10.1007/s00234-023-03126-9
https://doi.org/10.1007/s00234-023-03126-9
Autor:
Chinmay Sharma, Arian Lasocki, Abhishta Bhandari, Matthew Riggs, Muhammad Ibrahim, Rhondda E. Jones
Publikováno v:
Neuroradiology. 63(11)
Magnetic resonance spectroscopy (MRS) provides a non-invasive means of determining isocitrate dehydrogenase (IDH) status. Determination of 2-hydroxyglutarate (2-HG) presence through MRS is a means of determining IDH status; however, differences may b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7420e6361bf78cab1df17cca84cb029
https://pubmed.ncbi.nlm.nih.gov/33811494
https://pubmed.ncbi.nlm.nih.gov/33811494
Autor:
Rebecca Liong, Chinmay Sharma, Sonja Gustafson, Abhishta Bhandari, Muhammad Ibrahim, Marita Prior
Publikováno v:
Abdominal radiology (New York). 46(5)
Differentiating renal tumours into grades and tumour subtype from medical imaging is important for patient management; however, there is an element of subjectivity when performed qualitatively. Quantitative analysis such as radiomics may provide a mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0bc7205bfea32d054787b76b43456cc
https://pubmed.ncbi.nlm.nih.gov/33136182
https://pubmed.ncbi.nlm.nih.gov/33136182
