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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
A hybrid method towards automated nipple detection in 3D breast ultrasound imagesLei Wang, Tobias Böhler, Fabian Zöhrer, et al.European Journal of Radiology|July 24, 2007
Comparison of manual direct and automated indirect measurement of hippocampus using magnetic resonance imagingFrederik L Giesel, Philipp A Thomann, Horst K Hahn, et al.Neuroradiology|June 22, 2010
Accuracy and reproducibility of a novel semi-automatic segmentation technique for MR volumetry of the pituitary glandDiane M Renz, Horst K Hahn, Peter Schmidt, et al.Journal of Surgical Oncology|December 15, 2016
Semi-automated delineation of breast cancer tumors and subsequent materialization using three-dimensional printing (rapid prototyping)Rüdiger Schulz-Wendtland, Markus Harz, Martina Meier-Meitinger, et al.Academic Radiology|April 7, 2009
3D reconstructions of the cerebral ventricles and volume quantification in children with brain malformationsFrederik L Giesel, Anthony R Hart, Horst K Hahn, et al.Neurology|March 13, 2015
Differential patterns of spinal cord and brain atrophy in NMO and MSYaou Liu, Jinhui Wang, Marita Daams, et al.Multiple Sclerosis (Houndmills, Basingstoke, England)|May 10, 2014
Mean upper cervical cord area (MUCCA) measurement in long-standing multiple sclerosis: relation to brain findings and clinical disabilityMarita Daams, Florian Weiler, Martijn D Steenwijk, et al.Journal of Neurology, Neurosurgery, and Psychiatry|June 29, 2014
Cervical spinal cord volume loss is related to clinical disability progression in multiple sclerosisCarsten Lukas, Dirk L Knol, Madeleine H Sombekke, et al.Radiology|June 6, 2013
Relevance of spinal cord abnormalities to clinical disability in multiple sclerosis: MR imaging findings in a large cohort of patientsCarsten Lukas, Madeleine H Sombekke, Barbara Bellenberg, et al.European Journal of Radiology|May 31, 2024
Cooperative AI training for cardiothoracic segmentation in computed tomography: An iterative multi-center annotation approachBianca Lassen-Schmidt, Bettina Baessler, Matthias Gutberlet, et al.Pageof 6