Sven Wellmann

15 papers A* 1C 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Assessing accuracy of BiliPredics algorithm in predicting individual bilirubin progression in neonates - results from a prospective multi-center study.
Frontiers Digit. Health
Britta Steffens, Gilbert Koch, Corinna Engel, Axel R. Franz, Marc Pfister, Sven Wellmann
2025 J jnl
From Research to Certification with Data-Driven Medical Decision Support Systems (Dagstuhl Seminar 25052).
Dagstuhl Reports
Raúl Santos-Rodríguez, Kacper Sokol, Julia E. Vogt, Sven Wellmann
2025 J jnl
Predicting Pulmonary Hypertension in Newborns: A Multi-view VAE Approach.
CoRR
Lucas Erlacher, Samuel Ruipérez-Campillo, Holger Michel, Sven Wellmann, Thomas M. Sutter, Ece Ozkan, Julia E. Vogt
2025 — conf
Towards Scalable Newborn Screening: Automated General Movement Assessment in Uncontrolled Settings.
MLHC
Daphné Chopard, Sonia Laguna, Kieran Chin-Cheong, Annika Dietz, Anna Badura, Sven Wellmann, Julia E. Vogt
2024 J jnl
Automatic Classification of General Movements in Newborns.
CoRR
Daphné Chopard, Sonia Laguna, Kieran Chin-Cheong, Annika Dietz, Anna Badura, Sven Wellmann, Julia E. Vogt
2024 J jnl
Deep Learning Based Prediction of Pulmonary Hypertension in Newborns Using Echocardiograms.
Int. J. Comput. Vis.
Hanna Ragnarsdóttir, Ece Ozkan, Holger Michel, Kieran Chin-Cheong, Laura Manduchi, Sven Wellmann, Julia E. Vogt
2024 J jnl
Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis.
Medical Image Anal.
Ricards Marcinkevics, Patricia Reis Wolfertstetter, Ugne Klimiene, Kieran Chin-Cheong, Alyssia Paschke, Julia Zerres, Markus Denzinger, David Niederberger, Sven Wellmann, Ece Ozkan, Christian Knorr, Julia E. Vogt
2023 J jnl
Interpretable and Intervenable Ultrasonography-based Machine Learning Models for Pediatric Appendicitis.
CoRR
Ricards Marcinkevics, Patricia Reis Wolfertstetter, Ugne Klimiene, Ece Ozkan, Kieran Chin-Cheong, Alyssia Paschke, Julia Zerres, Markus Denzinger, David Niederberger, Sven Wellmann, Christian Knorr, Julia E. Vogt
2022 — conf
Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models.
MLHC
Alain Ryser, Laura Manduchi, Fabian Laumer, Holger Michel, Sven Wellmann, Julia E. Vogt
2022 J jnl
Interpretable Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models.
CoRR
Alain Ryser, Laura Manduchi, Fabian Laumer, Holger Michel, Sven Wellmann, Julia E. Vogt
2022 — conf
Interpretable Prediction of Pulmonary Hypertension in Newborns Using Echocardiograms.
GCPR
Hanna Ragnarsdóttir, Laura Manduchi, Holger Michel, Fabian Laumer, Sven Wellmann, Ece Ozkan, Julia E. Vogt
2022 J jnl
Interpretable Prediction of Pulmonary Hypertension in Newborns using Echocardiograms.
CoRR
Hanna Ragnarsdóttir, Laura Manduchi, Holger Michel, Fabian Laumer, Sven Wellmann, Ece Ozkan, Julia E. Vogt
2021 A* conf
Deep Conditional Gaussian Mixture Model for Constrained Clustering.
NeurIPS
Laura Manduchi, Kieran Chin-Cheong, Holger Michel, Sven Wellmann, Julia E. Vogt
2021 J jnl
Deep Conditional Gaussian Mixture Model for Constrained Clustering.
CoRR
Laura Manduchi, Kieran Chin-Cheong, Holger Michel, Sven Wellmann, Julia E. Vogt
2021 C conf
Learning Medical Risk Scores for Pediatric Appendicitis.
ICMLA
Pedro Roig Aparicio, Ricards Marcinkevics, Patricia Reis Wolfertstetter, Sven Wellmann, Christian Knorr, Julia E. Vogt