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Automated Deep Learning-based Segmentation of Brain, SEEG and DBS Electrodes on CT Images.

, , , , , , и . Bildverarbeitung für die Medizin, стр. 92-97. Springer, (2021)

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Andreas Husch

Tanja Hüsch

Michael Hüsch

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Katja Hüsch

 

Другие публикации лиц с тем же именем

FastField: An open-source toolbox for efficient approximation of deep brain stimulation electric fields., , , , и . NeuroImage, (2020)Unified Retrieval for Streamlining Biomedical Image Dataset Aggregation and Standardization., , , и . Bildverarbeitung für die Medizin, стр. 328-333. Springer, (2024)Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging., , , , , , , , , и 9 other автор(ы). NeuroImage, (2019)Assessment of Electrode Displacement and Deformation with Respect to Pre-Operative Planning in Deep Brain Stimulation., , , , и . Bildverarbeitung für die Medizin, стр. 77-82. Springer, (2015)Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imaging Models., , , , и . Bildverarbeitung für die Medizin, стр. 114. Springer, (2022)Automated Deep Learning-based Segmentation of Brain, SEEG and DBS Electrodes on CT Images., , , , , , и . Bildverarbeitung für die Medizin, стр. 92-97. Springer, (2021)The effect of dataset confounding on predictions of deep neural networks for medical imaging., , и . NLDL, Septentrio Academic Publishing, (2022)Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge., , , , , , , , , и 26 other автор(ы). Medical Image Anal., (2022)Initialisation of Deep Brain Stimulation Parameters with Multi-objective Optimisation Using Imaging Data., , , , , и . Bildverarbeitung für die Medizin, стр. 297-302. Springer, (2022)Lead-DBS v3.0: Mapping deep brain stimulation effects to local anatomy and global networks., , , , , , , , , и 13 other автор(ы). NeuroImage, (марта 2023)