Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Liliana Lourenco Caldeira"'
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
Supervised methods, such as those utilized in classification, prediction, and segmentation tasks for medical images, experience a decline in performance when the training and testing datasets violate the i.i.d (independent and identically distributed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::193acbe329ecef179397c55ae6a0db24
https://doi.org/10.3233/shti230337
https://doi.org/10.3233/shti230337
Autor:
Piotr Woznicki, Florian Siedek, Maatje D.A. van Gastel, Daniel Pinto dos Santos, Sita Arjune, Larina A. Karner, Franziska Meyer, Liliana Lourenco Caldeira, Thorsten Persigehl, Ron T. Gansevoort, Franziska Grundmann, Bettina Baessler, Roman-Ulrich Müller
Publikováno v:
Kidney360
BACKGROUND: Imaging-based total kidney volume (TKV) and total liver volume (TLV) are major prognostic factors in autosomal dominant polycystic kidney disease (ADPKD) and end points for clinical trials. However, volumetry is time consuming and reader
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::626fe2420497c1fff9c554ed394afac4
https://europepmc.org/articles/PMC9802567/
https://europepmc.org/articles/PMC9802567/
Autor:
Andra-Iza Iuga, Lenhard Pennig, Liliana Lourenco Caldeira, David Maintz, Tilman Hickethier, Jonas Doerner
Publikováno v:
Medicine. 100(48)
To determine if anemia can be predicted on enhanced computed tomography (CT) examinations of the thorax using virtual non-contrast (VNC) images, in order to support clinicians especially in diagnosing primary asymptomatic patients in daily routine.In