Kieran Chin-Cheong

According to our database, Kieran Chin-Cheong authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Towards Scalable Newborn Screening: Automated General Movement Assessment in Uncontrolled Settings.

Daphné Chopard, Sonia Laguna, Kieran Chin-Cheong, Annika Dietz, Anna Badura, Sven Wellmann, Julia E. Vogt

Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

2024

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

Hanna Ragnarsdóttir, Ece Ozkan, Holger Michel, Kieran Chin-Cheong, Laura Manduchi, Sven Wellmann, Julia E. Vogt

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

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

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

Medical Image Anal., January, 2024

Automatic Classification of General Movements in Newborns.

Daphné Chopard, Sonia Laguna, Kieran Chin-Cheong, Annika Dietz, Anna Badura, Sven Wellmann, Julia E. Vogt

CoRR, 2024

2022

On the Limitations of Multimodal VAEs.

Imant Daunhawer, Thomas M. Sutter, Kieran Chin-Cheong, Emanuele Palumbo, Julia E. Vogt

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

A comparison of general and disease-specific machine learning models for the prediction of unplanned hospital readmissions.

Thomas M. Sutter, Jan A. Roth, Kieran Chin-Cheong, Balthasar L. Hug, Julia E. Vogt

J. Am. Medical Informatics Assoc., 2021

Deep Conditional Gaussian Mixture Model for Constrained Clustering.

Laura Manduchi, Kieran Chin-Cheong, Holger Michel, Sven Wellmann, Julia E. Vogt

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

2020

Generation of Differentially Private Heterogeneous Electronic Health Records.

Kieran Chin-Cheong, Thomas M. Sutter, Julia E. Vogt

CoRR, 2020