Assessing accuracy of BiliPredics algorithm in predicting individual bilirubin progression in neonates - results from a prospective multi-center study.

[BibT_eX]

[DOI]

Britta Steffens

Gilbert Koch

Frontiers Digit. Health, 2025

2024

Deep Learning Based Prediction of Pulmonary Hypertension in Newborns Using Echocardiograms.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., July, 2024

Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis.

[BibT_eX]

[DOI]

Ricards Marcinkevics

Patricia Reis Wolfertstetter

Medical Image Anal., January, 2024

Automatic Classification of General Movements in Newborns.

[BibT_eX]

[DOI]

CoRR, 2024

2022

Interpretable Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models.

[BibT_eX]

[DOI]

CoRR, 2022

Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Healthcare Conference, 2022

Interpretable Prediction of Pulmonary Hypertension in Newborns Using Echocardiograms.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2022

2021

Deep Conditional Gaussian Mixture Model for Constrained Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Medical Risk Scores for Pediatric Appendicitis.

[BibT_eX]

[DOI]

Pedro Roig Aparicio

Ricards Marcinkevics

Patricia Reis Wolfertstetter

Sven Wellmann

Christian Knorr

Julia E. Vogt

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Sven Wellmann

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