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Works by Mouridsen, Kim B.

Results: 3

1

Automated multiclass segmentation, quantification, and visualization of the diseased aorta on hybrid PET/CT–SEQUOIA.

Published in:

Medical Physics, 2024, v. 51, n. 6, p. 4297, doi. 10.1002/mp.16967

By:

van Praagh, Gijs D.;
Nienhuis, Pieter H.;
Reijrink, Melanie;
Davidse, Mirjam E. J.;
Duff, Lisa M.;
Spottiswoode, Bruce S.;
Mulder, Douwe J.;
Prakken, Niek H. J.;
Scarsbrook, Andy F.;
Morgan, Ann W.;
Tsoumpas, Charalampos;
Wolterink, Jelmer M.;
Mouridsen, Kim B.;
Borra, Ronald J. H.;
Sinha, Bhanu;
Slart, Riemer H. J. A.

Publication type:

Article

2

Liver fibrosis staging by deep learning: a visual-based explanation of diagnostic decisions of the model.

Published in:

European Radiology, 2021, v. 31, n. 12, p. 9620, doi. 10.1007/s00330-021-08046-x

By:

Yin, Yunchao;
Yakar, Derya;
Dierckx, Rudi A. J. O.;
Mouridsen, Kim B.;
Kwee, Thomas C.;
de Haas, Robbert J.

Publication type:

Article

3

Combining Hepatic and Splenic CT Radiomic Features Improves Radiomic Analysis Performance for Liver Fibrosis Staging.

Published in:

Diagnostics (2075-4418), 2022, v. 12, n. 2, p. 550, doi. 10.3390/diagnostics12020550

By:

Yin, Yunchao;
Yakar, Derya;
Dierckx, Rudi A. J. O.;
Mouridsen, Kim B.;
Kwee, Thomas C.;
de Haas, Robbert J.

Publication type:

Article