Anneke Meyer
Research Scientist at ContextVision AB
Magdeburg, Saxony-Anhalt, Sweden
Summary
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Senior🎓
Top SchoolAnneke Meyer is a research scientist with eight years of experience applying deep learning and computer vision to medical image analysis, currently advancing clinical imaging solutions at ContextVision AB. She earned a Dr.-Ing. (Magna cum Laude) after a PhD focused on medical image processing and has practical research experience from institutions including Harvard Medical School’s Surgical Planning Laboratory. Her work spans vessel and lesion segmentation, CT surface detection, and multi-atlas MRI segmentation, blending rigorous academic methods with industry-oriented product development. Known for moving algorithms toward clinical readiness, she pairs strong publication-level research skills with hands-on implementation and evaluation across diverse imaging modalities. Based in Magdeburg with roots in Sweden, she brings a rare combination of sustained academic excellence and applied R&D experience in medical imaging.
8 years of coding experience
1 year of employment as a software developer
Engineering Doctorate (Dr.-Ing.), Magna cum Laude, Engineering Doctorate (Dr.-Ing.), Magna cum Laude at Otto-von-Guericke-Universität Magdeburg
Github Skills (7)
medical-imaging10
open-source10
reproducible-research10
segmentation9
semi-supervised-learning7
3d5
deep-learning3
Programming languages (2)
Github contributions (5)
AnnekeMeyer/zone-segmentation
Feb 2019 - Apr 2021
Segmentation of prostatic zones (peripheral zone, central gland, AFS and distal prostatic urethra )
Contributions:29 commits, 26 pushes, 1 comment in 2 years 2 months
segmentation
AnnekeMeyer/AnisotropicMultiStreamCNN
Oct 2019 - Sep 2020
Source code of the paper "Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI".
Contributions:16 commits, 16 pushes, 1 branch in 11 months
3dsegmentation
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