Kai Schlamp
Orcid: 0009-0005-9814-353X
According to our database1,
Kai Schlamp authored at least 48 papers
between 2017 and 2025.
Collaborative distances:
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Bibliography
2025
Benchmark Success, Clinical Failure: When Reinforcement Learning Optimizes for Benchmarks, Not Patients.
CoRR, December, 2025
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
2024
Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
2023
Abstract: Automated Detection and Quantification of Brain Metastases on Clinical MRI Data using CNNs.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
2022
2021
A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data.
npj Digit. Medicine, 2021
2020
2019
2018
2017
Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. 0.13.1.
Dataset, May, 2017