Michael Schwier
Michael Schwier
Siemens Healthineers
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Cited by
Cited by
Medical image analysis
F Ritter, T Boskamp, A Homeyer, H Laue, M Schwier, F Link, HO Peitgen
IEEE pulse 2 (6), 60-70, 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
Object-oriented application development with MeVisLab and Python
F Heckel, M Schwier, HO Peitgen
Informatik 2009–Im Focus das Leben, 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
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
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
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
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
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
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
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
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
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
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
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
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
High-quality multimodal volume visualization of intracerebral pathological tissue.
C Rieder, M Schwier, HK Hahn, HO Peitgen
VCBM, 167-176, 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
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
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
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