Thomas Buddenkotte

According to our database, Thomas Buddenkotte authored at least 6 papers between 2022 and 2024.

Collaborative distances:

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

2024

BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI.

Roland Opfer, Julia Krüger, Thomas Buddenkotte, Lothar Spies, Finn Behrendt, Sven Schippling, Ralph Buchert

Int. J. Comput. Assist. Radiol. Surg., September, 2024

CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registration.

Thomas Buddenkotte, Roland Opfer, Julia Krüger, Alessa Hering, Mireia Crispin-Ortuzar

CoRR, 2024

Higher effect sizes for the detection of accelerated brain volume loss and disability progression in multiple sclerosis using deep-learning.

Roland Opfer, Tjalf Ziemssen, Julia Krüger, Thomas Buddenkotte, Lothar Spies, Carola Gocke, Matthias Schwab, Ralph Buchert

Comput. Biol. Medicine, 2024

Automated Small Kidney Cancer Detection in Non-Contrast Computed Tomography.

William McGough, Thomas Buddenkotte, Stephan Ursprung, Zeyu Gao, Grant Stewart, Mireia Crispin-Ortuzar

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation.

Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, Ramona Woitek, Cathal McCague, James D. Brenton, Ozan Öktem, Evis Sala, Leonardo Rundo

Comput. Biol. Medicine, September, 2023

2022

Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation.

Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, Ramona Woitek, Cathal McCague, James D. Brenton, Ozan Öktem, Evis Sala, Leonardo Rundo

CoRR, 2022