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2020 – today
- 2024
[j3]Roland Opfer
, Julia Krüger, Thomas Buddenkotte, Lothar Spies, Finn Behrendt, Sven Schippling, Ralph Buchert:
BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI. Int. J. Comput. Assist. Radiol. Surg. 19(9): 1763-1771 (2024)- [j2]Roland Opfer, Tjalf Ziemssen, Julia Krüger, Thomas Buddenkotte, Lothar Spies, Carola Gocke, Matthias Schwab, Ralph Buchert:
Higher effect sizes for the detection of accelerated brain volume loss and disability progression in multiple sclerosis using deep-learning. Comput. Biol. Medicine 183: 109289 (2024) - [c1]William McGough, Thomas Buddenkotte, Stephan Ursprung, Zeyu Gao, Grant Stewart, Mireia Crispin-Ortuzar:
Automated Small Kidney Cancer Detection in Non-Contrast Computed Tomography. ISBI 2024: 1-5 - [i3]Thomas Buddenkotte, Roland Opfer, Julia Krüger, Alessa Hering, Mireia Crispin-Ortuzar:
CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registration. CoRR abs/2410.02316 (2024) - 2023
- [j1]Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, Ramona Woitek, Cathal McCague, James D. Brenton, Ozan Öktem, Evis Sala, Leonardo Rundo:
Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation. Comput. Biol. Medicine 163: 107096 (2023) - [i2]William McGough, Thomas Buddenkotte, Stephan Ursprung, Zeyu Gao, Grant Stewart, Mireia Crispin-Ortuzar:
Automated Small Kidney Cancer Detection in Non-Contrast Computed Tomography. CoRR abs/2312.05258 (2023) - 2022
- [i1]Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, Ramona Woitek, Cathal McCague, James D. Brenton, Ozan Öktem, Evis Sala, Leonardo Rundo:
Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation. CoRR abs/2209.09563 (2022)
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