Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Collaboration, AIX-COVNET"'
Autor:
Breger, Anna, Biguri, Ander, Landman, Malena Sabaté, Selby, Ian, Amberg, Nicole, Brunner, Elisabeth, Gröhl, Janek, Hatamikia, Sepideh, Karner, Clemens, Ning, Lipeng, Dittmer, Sören, Roberts, Michael, Collaboration, AIX-COVNET, Schönlieb, Carola-Bibiane
Image quality assessment (IQA) is not just indispensable in clinical practice to ensure high standards, but also in the development stage of novel algorithms that operate on medical images with reference data. This paper provides a structured and com
Externí odkaz:
http://arxiv.org/abs/2405.19097
Autor:
Dittmer, Sören, Roberts, Michael, Gilbey, Julian, Biguri, Ander, Collaboration, AIX-COVNET, Preller, Jacobus, Rudd, James H. F., Aston, John A. D., Schönlieb, Carola-Bibiane
In this perspective, we argue that despite the democratization of powerful tools for data science and machine learning over the last decade, developing the code for a trustworthy and effective data science system (DSS) is getting harder. Perverse inc
Externí odkaz:
http://arxiv.org/abs/2210.13191
Autor:
Shadbahr, Tolou, Roberts, Michael, Stanczuk, Jan, Gilbey, Julian, Teare, Philip, Dittmer, Sören, Thorpe, Matthew, Torne, Ramon Vinas, Sala, Evis, Lio, Pietro, Patel, Mishal, Collaboration, AIX-COVNET, Rudd, James H. F., Mirtti, Tuomas, Rannikko, Antti, Aston, John A. D., Tang, Jing, Schönlieb, Carola-Bibiane
Classifying samples in incomplete datasets is a common aim for machine learning practitioners, but is non-trivial. Missing data is found in most real-world datasets and these missing values are typically imputed using established methods, followed by
Externí odkaz:
http://arxiv.org/abs/2206.08478