| Medical image analysis F Ritter, T Boskamp, A Homeyer, H Laue, M Schwier, F Link, HO Peitgen IEEE pulse 2 (6), 60-70, 2011 | 394 | 2011 |
| Repeatability of multiparametric prostate MRI radiomics features M Schwier, J Van Griethuysen, MG Vangel, S Pieper, S Peled, ... Scientific reports 9 (1), 9441, 2019 | 240 | 2019 |
| Object-oriented application development with MeVisLab and Python F Heckel, M Schwier, HO Peitgen Gesellschaft für Informatik e. V., 2009 | 66 | 2009 |
| Zonated quantification of steatosis in an entire mouse liver LO Schwen, A Homeyer, M Schwier, U Dahmen, O Dirsch, A Schenk, ... Computers in biology and medicine 73, 108-118, 2016 | 48 | 2016 |
| Evaluation of deep learning methods for parotid gland segmentation from CT images A Hänsch, M Schwier, T Gass, T Morgas, B Haas, V Dicken, H Meine, ... Journal of Medical Imaging 6 (1), 011005-011005, 2019 | 44 | 2019 |
| Object-based analysis of CT images for automatic detection and segmentation of hypodense liver lesions M Schwier, JH Moltz, HO Peitgen International journal of computer assisted radiology and surgery 6, 737-747, 2011 | 44 | 2011 |
| An annotated test-retest collection of prostate multiparametric MRI A Fedorov, M Schwier, D Clunie, C Herz, S Pieper, R Kikinis, C Tempany, ... Scientific data 5 (1), 1-13, 2018 | 41 | 2018 |
| Registration of histological whole slide images guided by vessel structures M Schwier, T Böhler, HK Hahn, U Dahmen, O Dirsch Journal of pathology informatics 4 (2), 10, 2013 | 41 | 2013 |
| Visualization of risk structures for interactive planning of image guided radiofrequency ablation of liver tumors C Rieder, M Schwier, A Weihusen, S Zidowitz, HO Peitgen Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling …, 2009 | 38 | 2009 |
| A generic concept for object-based image analysis A Homeyer, M Schwier, HK Hahn International Conference on Computer Vision Theory and Applications 2, 530-533, 2010 | 34 | 2010 |
| Rodent models and imaging techniques to study liver regeneration W Wei, O Dirsch, A Lawson Mclean, S Zafarnia, M Schwier, U Dahmen European Surgical Research 54 (3-4), 97-113, 2015 | 31 | 2015 |
| A general framework for automatic detection of matching lesions in follow-up CT JH Moltz, M Schwier, HO Peitgen 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009 | 31 | 2009 |
| Comparison of different deep learning approaches for parotid gland segmentation from CT images A Hänsch, M Schwier, T Gass, T Morgas, B Haas, J Klein, HK Hahn Medical Imaging 2018: Computer-Aided Diagnosis 10575, 289-294, 2018 | 30 | 2018 |
| Automated spine and vertebrae detection in CT images using object‐based image analysis M Schwier, T Chitiboi, T Hülnhagen, HK Hahn International journal for numerical methods in biomedical engineering 29 (9 …, 2013 | 29 | 2013 |
| Deep learning diagnosis and classification of rotator cuff tears on shoulder MRI DJ Lin, M Schwier, B Geiger, E Raithel, H Von Busch, J Fritz, M Kline, ... Investigative radiology 58 (6), 405-412, 2023 | 26 | 2023 |
| Zooming in: high resolution 3D reconstruction of differently stained histological whole slide images J Lotz, J Berger, B Müller, K Breuhahn, N Grabe, S Heldmann, A Homeyer, ... Medical Imaging 2014: Digital Pathology 9041, 16-22, 2014 | 24 | 2014 |
| Modelhub. ai: Dissemination platform for deep learning models A Hosny, M Schwier, C Berger, EP Örnek, M Turan, PV Tran, L Weninger, ... arXiv preprint arXiv:1911.13218, 2019 | 22 | 2019 |
| High-quality multimodal volume visualization of intracerebral pathological tissue. C Rieder, M Schwier, HK Hahn, HO Peitgen VCBM, 167-176, 2008 | 16 | 2008 |
| Data from QIN-PROSTATE-repeatability A Fedorov, M Schwier, D Clunie, C Herz, S Pieper, R Kikinis, C Tempany, ... The Cancer Imaging Archive, 2018 | 13 | 2018 |
| Repeatability of multiparametric prostate MRI radiomics features. Sci Rep 9 (1): 9441 M Schwier, J van Griethuysen, MG Vangel, S Pieper, S Peled, C Tempany, ... | 11 | 2019 |
Horst Karl HahnInstitute Director, Fraunhofer MEVIS, Institute for Medical Image Computing, Bremen, GermanyVerified email at mevis.fraunhofer.de
