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Michael Püsken
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2020 – today
- 2023
- [c3]Ani Ambroladze, Horst K. Hahn, Heba Amer, Michael Ingrisch, Annika Gerken, Markus T. Wenzel, Michael Püsken, Andreas Mittermeier, Christoph Engel, Rita Schmutzler, Eva M. Fallenberg:
CNN-based Whole Breast Segmentation in Longitudinal High-risk MRI Study - Initial Findings on Quality vs. Quantity of Training Annotations. Bildverarbeitung für die Medizin 2023: 159-164 - 2021
- [j2]Andra-Iza Iuga, Heike Carolus, Anna J. Höink, Tom Brosch, Tobias Klinder, David Maintz, Thorsten Persigehl, Bettina Baeßler, Michael Püsken:
Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks. BMC Medical Imaging 21(1): 69 (2021) - 2020
- [c2]Heike Carolus, Andra-Iza Iuga, Tom Brosch, Rafael Wiemker, Frank Thiele, Anna J. Höink, David Maintz, Michael Püsken, Tobias Klinder:
Automated detection and segmentation of mediastinal and axillary lymph nodes from CT using foveal fully convolutional networks. Computer-Aided Diagnosis 2020
2000 – 2009
- 2009
- [j1]Jan Hendrik Moltz, Lars Bornemann, Jan-Martin Kuhnigk, Volker Dicken, Elena Peitgen, Stephan A. Meier, Hendrik Bolte, Michael Fabel, Hans-Christian Bauknecht, Markus Hittinger, Andreas Kießling, Michael Püsken, Heinz-Otto Peitgen:
Advanced Segmentation Techniques for Lung Nodules, Liver Metastases, and Enlarged Lymph Nodes in CT Scans. IEEE J. Sel. Top. Signal Process. 3(1): 122-134 (2009) - [c1]Frank Heckel, Jan Hendrik Moltz, Lars Bornemann, Volker Dicken, Hans-Christian Bauknecht, Michael Fabel, Markus Hittinger, Andreas Kießling, Stephan A. Meier, Michael Püsken, Heinz-Otto Peitgen:
3D contour based local manual correction of tumor segmentations in CT scans. Image Processing 2009: 72593L
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