3D contour based local manual correction of tumor segmentations in CT scans. - Frank Heckel; Jan Hendrik Moltz; Lars Bornemann; Volker Dicken; Hans-Christian Bauknecht; Michael Fabel; Markus Hittinger; Andreas Kießling 002; Stephan A. Meier; Michael Püsken; Heinz-Otto Peitgen (Image Processing, 2009)

Advanced Segmentation Techniques for Lung Nodules, Liver Metastases, and Enlarged Lymph Nodes in CT Scans. - 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 002; Michael Püsken; et al. (IEEE J. Sel. Top. Signal Process., 2009)

Automated detection and segmentation of mediastinal and axillary lymph nodes from CT using foveal fully convolutional networks. - Heike Carolus; Andra-Iza Iuga; Tom Brosch; Rafael Wiemker; Frank Thiele; Anna J. Höink; David Maintz; Michael Püsken; Tobias Klinder (Computer-Aided Diagnosis, 2020)

Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks. - Andra-Iza Iuga; Heike Carolus; Anna J. Höink; Tom Brosch; Tobias Klinder; David Maintz; Thorsten Persigehl; Bettina Baeßler; Michael Püsken (BMC Medical Imaging, 2021)

CNN-based Whole Breast Segmentation in Longitudinal High-risk MRI Study - Initial Findings on Quality vs. Quantity of Training Annotations. - 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 (Bildverarbeitung für die Medizin, 2023)