Catherine R. Jutzeler

Orcid: 0000-0001-7167-8271

According to our database1, Catherine R. Jutzeler authored at least 11 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Joint representation learning for oncology applications.
Bioinform., 2026

2025
Mechanistic Learning with Guided Diffusion Models to Predict Spatio-Temporal Brain Tumor Growth.
Proceedings of the Learning with Longitudinal Medical Images and Data, 2025

2024
Diffusion-Based Semantic Segmentation of Lumbar Spine MRI Scans of Lower Back Pain Patients.
CoRR, 2024

2023
Genetic prediction of quantitative traits: a machine learner's guide focused on height.
CoRR, 2023

2022
Machine Learning in Medicine.
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.
NeuroImage, 2021

Interpretability Aware Model Training to Improve Robustness against Out-of-Distribution Magnetic Resonance Images in Alzheimer's Disease Classification.
CoRR, 2021

Back to the basics with inclusion of clinical domain knowledge - A simple, scalable and effective model of Alzheimer's Disease classification.
Proceedings of the Machine Learning for Healthcare Conference, 2021

Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning.
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.
NeuroImage, 2020

Image analysis for Alzheimer's disease prediction: Embracing pathological hallmarks for model architecture design.
CoRR, 2020


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