| Medical image analysis F Ritter, T Boskamp, A Homeyer, H Laue, M Schwier, F Link, HO Peitgen IEEE pulse 2 (6), 60-70, 2011 | 310 | 2011 |
| Repeatability of multiparametric prostate MRI radiomics features M Schwier, J Van Griethuysen, MG Vangel, S Pieper, S Peled, ... Scientific reports 9 (1), 1-16, 2019 | 176 | 2019 |
| Object-oriented application development with MeVisLab and Python F Heckel, M Schwier, HO Peitgen Informatik 2009–Im Focus das Leben, 2009 | 57 | 2009 |
| 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 | 43 | 2011 |
| 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 | 39 | 2016 |
| 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 |
| 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 | 37 | 2013 |
| 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 | 33 | 2019 |
| A Generic Concept for Object-based Image Analysis. A Homeyer, M Schwier, HK Hahn VISAPP (2), 530-533, 2010 | 33 | 2010 |
| Rodent models and imaging techniques to study liver regeneration W Wei, O Dirsch, AL Mclean, S Zafarnia, M Schwier, U Dahmen European Surgical Research 54 (3-4), 97-113, 2015 | 29 | 2015 |
| 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 | 28 | 2013 |
| 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 | 26 | 2018 |
| 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 | 26 | 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 | 25 | 2018 |
| 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 | 22 | 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 | 17 | 2019 |
| High-quality multimodal volume visualization of intracerebral pathological tissue. C Rieder, M Schwier, HK Hahn, HO Peitgen VCBM, 167-176, 2008 | 14 | 2008 |
| Segmentation of hepatic artery in multi-phase liver CT using directional dilation and connectivity analysis L Wang, AK Schnurr, S Zidowitz, J Georgii, Y Zhao, M Razavi, M Schwier, ... Medical Imaging 2016: Computer-Aided Diagnosis 9785, 436-443, 2016 | 10 | 2016 |
| 3D visualization of vascular structures around liver tumors using fuzzy clustering M Schwier, V Dicken, HO Peitgen Proceedings of CARS 3, 403-404, 2008 | 9 | 2008 |
| Reconstruction of vessel structures from serial whole slide sections of murine liver samples M Schwier, HK Hahn, U Dahmen, O Dirsch Medical Imaging 2013: Digital Pathology 8676, 127-136, 2013 | 8 | 2013 |
Horst Karl HahnInstitute Director, Fraunhofer MEVIS, Institute for Medical Image Computing, Bremen, GermanyПотвърден имейл адрес: mevis.fraunhofer.de
