Markus Wenzel
Markus Wenzel
Fraunhofer Institute for Digital Medicine MEVIS
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
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
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
blockchain und Smart contracts: technologien, Forschungsfragen und Anwendungen
J Schütte, G Fridgen, W Prinz, T Rose, N Urbach, T Hoeren, ...
Blockchain and smart contracts
J Schütte, G Fridgen, W Prinz, T Rose, N Urbach, T Hoeren, ...
Fraunhofer-Gesellschaft, 2018
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
Der Weg in die Cloud
D Lindner, P Niebler, M Wenzel, D Lindner, P Niebler, M Wenzel
Der Weg in die Cloud: Ein Leitfaden für Unternehmer und Entscheider, 21-41, 2020
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
Medical image-based information system and mobile multitouch display device
F Ritter, M Harz
US Patent App. 13/684,083, 2013
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
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
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
Blockchain und Smart Contracts
W Prinz, AT Schulte
Technologien, Forschungsfragen und Anwendungen. Fraunhofer-Gesellschaft, 2017
Breast image registration and deformation modeling
T Boehler, F Zoehrer, M Harz, HK Hahn
Critical Reviews™ in Biomedical Engineering 40 (3), 2012
Cancer, computers and complexity: decision making for the patient
M Harz
European Review 25 (1), 96-106, 2017
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
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
Generative adversarial networks and other generative models
M Wenzel
Machine Learning for Brain Disorders, 139-192, 2023
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
Blockchain und Smart Contracts: Technologien
J Schütte, G Fridgen, W Prinz, T Rose, N Urbach, T Hoeren, ...
https://www. fraunhofer. de/content/dam/zv/de/forschung/artikel/2017 …, 2017
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
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