Catherine R. Jutzeler

According to our database, Catherine R. Jutzeler authored at least 8 papers between 2020 and 2023.

Collaborative distances:

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

2023

Genetic prediction of quantitative traits: a machine learner's guide focused on height.

Lucie Bourguignon, Caroline Weis, Catherine R. Jutzeler, Michael F. Adamer

CoRR, 2023

2022

Machine Learning in Medicine.

Catherine R. Jutzeler, Karsten M. Borgwardt

Proceedings of the Machine Learning under Resource Constraints - Volume 3: Applications, 2022

2021

Single-trial averaging improves the physiological interpretation of contact heat evoked potentials.

Catherine R. Jutzeler, Lukas D. Linde, Jan Rosner, Michèle Hubli, Armin Curt, John L. K. Kramer

NeuroImage, 2021

Interpretability Aware Model Training to Improve Robustness against Out-of-Distribution Magnetic Resonance Images in Alzheimer's Disease Classification.

Merel Kuijs, Catherine R. Jutzeler, Bastian Rieck, Sarah C. Brüningk

CoRR, 2021

Back to the basics with inclusion of clinical domain knowledge - A simple, scalable and effective model of Alzheimer's Disease classification.

Sarah C. Brüningk, Felix Hensel, Louis P. Lukas, Merel Kuijs, Catherine R. Jutzeler, Bastian Rieck

Proceedings of the Machine Learning for Healthcare Conference, 2021

Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning.

Christian Bock, Michael Moor, Catherine R. Jutzeler, Karsten M. Borgwardt

Proceedings of the Artificial Neural Networks - Third Edition., 2021

2020

Excitatory and inhibitory responses in the brain to experimental pain: A systematic review of MR spectroscopy studies.

Jessica Archibald, Erin L. MacMillan, Alinda Enzler, Catherine R. Jutzeler, Petra Schweinhardt, John L. K. Kramer

NeuroImage, 2020

Image analysis for Alzheimer's disease prediction: Embracing pathological hallmarks for model architecture design.

Sarah C. Brüningk, Felix Hensel, Catherine R. Jutzeler, Bastian Rieck

CoRR, 2020