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Markus Wenzel
Markus Wenzel
Fraunhofer Institute for Digital Medicine MEVIS
Bestätigte E-Mail-Adresse bei mevis.fraunhofer.de
Titel
Zitiert von
Zitiert von
Jahr
blockchain und Smart contracts: technologien, Forschungsfragen und Anwendungen
J Schütte, G Fridgen, W Prinz, T Rose, N Urbach, T Hoeren, ...
77*2017
Fully automatic breast segmentation in 3D breast MRI
L Wang, B Platel, T Ivanovskaya, M Harz, HK Hahn
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 1024-1027, 2012
692012
Automatic classification of dopamine transporter SPECT: deep convolutional neural networks can be trained to be robust with respect to variable image characteristics
M Wenzel, F Milletari, J Krüger, C Lange, M Schenk, I Apostolova, ...
European journal of nuclear medicine and molecular imaging 46, 2800-2811, 2019
582019
Semi‐automated delineation of breast cancer tumors and subsequent materialization using three‐dimensional printing (rapid prototyping)
R Schulz‐Wendtland, M Harz, M Meier‐Meitinger, B Brehm, T Wacker, ...
Journal of surgical oncology 115 (3), 238-242, 2017
182017
Head pose estimation of partially occluded faces
MT Wenzel, WH Schiffmann
The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 353-360, 2005
182005
Medical image-based information system and mobile multitouch display device
F Ritter, M Harz
US Patent App. 13/684,083, 2013
172013
QuantMed: Component-based deep learning platform for translational research
J Klein, M Wenzel, D Romberg, A Köhn, P Kohlmann, F Link, A Hänsch, ...
Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and …, 2020
142020
A minimally-interactive watershed algorithm designed for efficient CTA bone removal
HK Hahn, MT Wenzel, O Konrad-Verse, HO Peitgen
International Workshop on Computer Vision Approaches to Medical Image …, 2006
122006
Generative adversarial networks and other generative models
M Wenzel
Machine Learning for Brain Disorders, 139-192, 2023
112023
Blockchain und Smart Contracts
W Prinz, AT Schulte
Technologien, Forschungsfragen und Anwendungen. Fraunhofer-Gesellschaft, 2017
112017
Simulation and visualization to support breast surgery planning
J Georgii, T Paetz, M Harz, C Stoecker, M Rothgang, J Colletta, ...
Breast Imaging: 13th International Workshop, IWDM 2016, Malmö, Sweden, June …, 2016
102016
Breast image registration and deformation modeling
T Boehler, F Zoehrer, M Harz, HK Hahn
Critical Reviews™ in Biomedical Engineering 40 (3), 2012
102012
Symmetry-based detection and diagnosis of DCIS in breast MRI
A Srikantha, M Harz, G Newstead
Pattern Recognition: 35th German Conference, GCPR 2013, Saarbrücken, Germany …, 2013
92013
Cancer, computers and complexity: decision making for the patient
M Harz
European Review 25 (1), 96-106, 2017
82017
Assessment of texture analysis on DCE-MRI data for the differentiation of breast tumor lesions
J Loose, MT Harz, H Laue, T Twellmann, U Bick, M Rominger, HK Hahn, ...
Medical Imaging 2009: Computer-Aided Diagnosis 7260, 179-190, 2009
82009
Blockchain und Smart Contracts: Technologien
J Schütte, G Fridgen, W Prinz, T Rose, N Urbach, T Hoeren, ...
Forschungsfragen und Anwendungen, 2017
72017
A robust and extendable framework towards fully automated diagnosis of nonmass lesions in breast DCE-MRI
L Wang, M Harz, T Boehler, B Platel, A Homeyer, HK Hahn
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 129-132, 2014
72014
3D (c) GAN for whole body MR synthesis
D Mensing, J Hirsch, M Wenzel, M Günther
MICCAI Workshop on Deep Generative Models, 97-105, 2022
62022
Infant brain age classification: 2D CNN outperforms 3D CNN in small dataset
M Shabanian, M Wenzel, JP DeVincenzo
Medical Imaging 2022: Image Processing 12032, 626-633, 2022
62022
Combining Mobile Devices and Workstations for the reading of medical images
F Ritter, M Harz, J Al Issawi, S Benten, K Schilling
Oldenbourg Verlag, 2012
52012
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