Christopher Schlett

According to our database, Christopher Schlett authored at least 4 papers between 2018 and 2026.

Collaborative distances:

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

2026

VERIDAH: Solving Enumeration Anomaly Aware Vertebra Labeling across Imaging Sequences.

Hendrik Kristian Möller, Hanna Schön, Robert Graf, Matan Atad, Nathan Molinier, Anjany Sekuboyina, Bettina K. Budai, Fabian Bamberg, Steffen Ringhof, Christopher Schlett, Tobias Pischon, Thoralf Niendorf, Josua A. Decker, Marc-André Weber, Bjoern Menze, Daniel Rueckert, Jan S. Kirschke

CoRR, January, 2026

2022

FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation.

Tobias Bernecker, Annette Peters, Christopher L. Schlett, Fabian Bamberg, Fabian J. Theis, Daniel Rueckert, Jakob Weiß, Shadi Albarqouni

CoRR, 2022

2020

Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers.

Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl, Daniel Gutmann, Sergios Gatidis, Christopher Schlett, Annette Peters, Fabian Bamberg, Christian Wachinger

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2018

Deep Shape Analysis on Abdominal Organs for Diabetes Prediction.

Benjamín Gutiérrez-Becker, Sergios Gatidis, Daniel Gutmann, Annette Peters, Christopher Schlett, Fabian Bamberg, Christian Wachinger

Proceedings of the Shape in Medical Imaging, 2018