Piotr Jaroslaw Chmura
Research programmer
Brunak Group
Blegdamsvej 3, 2200 København N., 06 Bygning 6, Building: 06-2-21
ORCID: 0000-0002-9371-6918
1 - 3 out of 3Page size: 50
- 2022
- Published
Classification of Left and Right Coronary Arteries in Coronary Angiographies Using Deep Learning
Eschen, Christian Kim, Banasik, Karina, Christensen, Alex Hørby, Chmura, Piotr Jaroslaw, Pedersen, F., Køber, Lars Valeur, Engstrøm, Thomas, Dahl, A. B., Brunak, Søren & Bundgård, Henning, 2022, In: Electronics (Switzerland). 11, 13, 9 p., 2087.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data
Thorsen-Meyer, H., Placido, Davide, Kaas-Hansen, Benjamin Skov, Nielsen, A. P., Lange, Theis, Nielsen, A. B., Toft, P., Schierbeck, J., Strøm, T., Chmura, Piotr Jaroslaw, Heimann, M., Belling, K., Perner, Anders & Brunak, Søren, 2022, In: npj Digital Medicine. 5, 10 p., 142.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
INNODIA Master Protocol for the evaluation of investigational medicinal products in children, adolescents and adults with newly diagnosed type 1 diabetes
Dunger, D. B., Bruggraber, S. F. A., Mander, A. P., Marcovecchio, M. L., Tree, T., Chmura, Piotr Jaroslaw, Knip, M., Schulte, A. M., Mathieu, C. & INNODIA consortium, I. C., 2022, In: Trials. 23, 1, 9 p., 414.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 233701104
Most downloads
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240
downloads
Survival prediction in intensive-care units based on aggregation of long-term disease history and acute physiology: a retrospective study of the Danish National Patient Registry and electronic patient records
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
145
downloads
The bio.tools registry of software tools and data resources for the life sciences
Research output: Contribution to journal › Letter › Research › peer-review
Published -
79
downloads
Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records
Research output: Contribution to journal › Journal article › Research › peer-review
Published