Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Maxwell Uhlich"'
Autor:
Adrian S Fairey, Catalina Vasquez, Michael Kolinsky, Rume Djebah, Maxwell Uhlich, Bryan Donnelly, Eric Hyndman, Nawaid Usmani, Jackson Wu, Peter Venner, Dean Ruether, Gerald Todd, Michael Chetner, R Trafford Crump, Perrin H Beatty, John D Lewis
Publikováno v:
BMJ Open, Vol 10, Iss 10 (2020)
Purpose The Alberta Prostate Cancer Research Initiative (APCaRI) Registry and Biorepository was established in 2014 by the APCaRI to facilitate the collection of clinical and patient-reported data, biospecimen, to measure prostate cancer outcomes and
Externí odkaz:
https://doaj.org/article/40b915c71fb942729f9cec1ae25a7081
Autor:
Maria Cutumisu, Perrin H. Beatty, John D. Lewis, Maxwell Uhlich, Homeira Hamayeli-Mehrabani, Russell Greiner, Albert Murtha, Catalina Vasquez, Rume Djebah
Publikováno v:
JCO clinical cancer informatics. 3
PURPOSE An online clinical information system, called Predictive Research Online System Prostate Cancer Tasks (PROSPeCT), was developed to enable users to query the Alberta Prostate Cancer Registry database hosted by the Alberta Prostate Cancer Resea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd64c9d1d306b6ca719eca46bcccf933
https://pubmed.ncbi.nlm.nih.gov/31116569
https://pubmed.ncbi.nlm.nih.gov/31116569
Autor:
Jackson S.Y. Wu, Peter Venner, John D. Lewis, Michael Kolinsky, Michael Chetner, Nawaid Usmani, Dean Ruether, Maxwell Uhlich, Adrian Fairey, Catalina Vasquez, R. Trafford Crump, Rume Djebah, Eric Hyndman, Bryan Donnelly, Perrin H. Beatty, Gerald Todd
Publikováno v:
BMJ Open, Vol 10, Iss 10 (2020)
BMJ Open
BMJ Open
PurposeThe Alberta Prostate Cancer Research Initiative (APCaRI) Registry and Biorepository was established in 2014 by the APCaRI to facilitate the collection of clinical and patient-reported data, biospecimen, to measure prostate cancer outcomes and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd489e89c083eae5bce0ebbea66a3502
https://doi.org/10.1136/bmjopen-2020-037222
https://doi.org/10.1136/bmjopen-2020-037222
Autor:
Idanis Diaz, Russell Greiner, Melissa Woghiren, Bret Hoehn, Tatiana Ivanova, Maxwell Uhlich, Albert Murtha
Publikováno v:
Forecasting
Volume 1
Issue 1
Pages 5-69
Volume 1
Issue 1
Pages 5-69
Automated brain tumor segmenters typically run a “skull-stripping” pre-process to extract the brain from the 3D image, before segmenting the area of interest within the extracted volume. We demonstrate that an effective existing segmenter can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd56527be7278bf5964859f974b7339f