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Dr. Anneke MeyerResearch ScientistFaculty of Computer ScienceOtto-von-Guericke University Magdeburg |
Scientific Publications
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| Meyer, A. (2022) |
| Exploiting Supplementary Data and Knowledge for Improved CNN-based Segmentation of Prostate Structures in T2-weighted MRI |
| PhD Thesis, Otto-von-Guericke University Magdeburg, Faculty of Computer Science, Magdeburg, Germany |
Paper  |
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| Gulamhussene, G., Meyer, A., Rak, M., Bashkanov, O., Omari, J., Pech, M., Hansen, C. (2022) |
| Predicting 4D Liver MRI for MR-guided Interventions |
| Computerized Medical Imaging and Graphics, 101, pp. 102122 |
Download test data set  |
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| Meyer, A., Mehrtash, A., Rak, M., Bashkanov, O., Langbein, B., Ziaei, A., Kibel, A., Tempany, C., Hansen, C., Tokuda, J. (2021) |
| Domain Adaptation for Segmentation of Critical Structures for Prostate Cancer Therapy |
| Nature Scientific Reports, 11, pp. 11480 |
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| Bashkanov, O., Meyer, A., Schindele, D., Schostak, M., Toennies, K., Hansen, C., Rak, M. (2021) |
| Learning Multi-Modal Volumetric Prostate Registration with Weak Inter-Subject Spatial Correspondence |
| Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), Nice, France, pp. 1817-1821 |
BibTex  |
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| Rak, M., Steffen, J., Meyer, A., Hansen, C., Toennies, K. (2019) |
| Combining Convolutional Neural Networks and Star Convex Cuts for Fast Whole Spine Vertebra Segmentation in MRI |
| Computer Methods and Programs in Biomedicine, 177, pp. 47-56 |
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| Meyer, A., Rak, M., Schindele, D., Blaschke, S., Schostak, M., Fedorov, A., Hansen, C. (2019) |
| Towards Patient-Individual PI-RADS v2 Sector Map: CNN for Automatic Segmentation of Prostatic Zones from T2-Weighted MRI |
| Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI 2019) , Venice, Italy , 696-700 |
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| Meyer, A., Ghosh, S., Schindele, D., Schostak, M., Stober, S., Hansen, C., Rak, M. (2021) |
| Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond |
| Artificial Intelligence in Medicine, 116, pp. 102073 |
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| Schindele, D., Meyer, A., Von Reibnitz, D. F., Kiesswetter, V., Schostak, M., Rak, M., Hansen, C. (2020) |
| High Resolution Prostate Segmentations for the ProstateX-Challenge [Data set] |
| The Cancer Imaging Archive, |
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| Meyer, A., Mehrtash, A., Rak, M., Schindele, S., Schostak, M., Tempany, C., Kapur, T., Abolmaesumi, P., Fedorov, A., Hansen, C. (2018) |
| Automatic High Resolution Segmentation of the Prostate from Multi-Planar MRI |
| Proceedings of IEEE International Symposium on Biomedical Imaging, Washington, D.C., USA, pp. 177-181 |
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| Meyer, A., Schindele, D., von Reibnitz, D., Rak, M., Schostak, M., Hansen, C. (2020) |
| PROSTATEx Zone Segmentations [Data set] |
| The Cancer Imaging Archive, |
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| Meyer, A., Chlebus, G., Rak, M., Schindele, D., Schostak, M., van Ginneken, B., Schenk, A., Meine, H., Hahn, H.K., Schreiber, A., Hansen, C. (2020) |
| Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI |
| Computer Methods and Programs in Biomedicine, accepted |
| Download test data set |
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| Meyer, A., Schnurr, A.K., Schwalbe, M., Weber, S., Hansen, C. (2015) |
| AngioPlan: A Software Assistant to Support the Treatment of Arterio-Venous Malformations |
| Proceedings of International Congress for Computer-Assisted Radiology and Surgery (CARS), Barcelona, Spain, 10 (Suppl 1), pp. 184-186 |