Marius Erdt
Marius Erdt
Fraunhofer Singapore, Nanyang Technological University
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Cited by
Cited by
Fast automatic liver segmentation combining learned shape priors with observed shape deviation
M Erdt, S Steger, M Kirschner, S Wesarg
2010 IEEE 23rd International Symposium on Computer-Based Medical Systems …, 2010
Regmentation: A new view of image segmentation and registration
M Erdt, S Steger, G Sakas
Journal of Radiation Oncology Informatics 4 (1), 1-23, 2012
Automatic hepatic vessel segmentation using graphics hardware
M Erdt, M Raspe, M Suehling
International workshop on medical imaging and virtual reality, 403-412, 2008
Soldering defect detection in automatic optical inspection
W Dai, A Mujeeb, M Erdt, A Sourin
Advanced Engineering Informatics 43, 101004, 2020
Dual-energy CT-based assessment of the trabecular bone in vertebrae
S Wesarg, M Kirschner, M Becker, M Erdt, K Kafchitsas, MF Khan
Methods of information in medicine 51 (05), 398-405, 2012
One class based feature learning approach for defect detection using deep autoencoders
A Mujeeb, W Dai, M Erdt, A Sourin
Advanced Engineering Informatics 42, 100933, 2019
A novel bayesian model incorporating deep neural network and statistical shape model for pancreas segmentation
J Ma, F Lin, S Wesarg, M Erdt
International conference on medical image computing and computer-assisted …, 2018
The technologically integrated oncosimulator: combining multiscale cancer modeling with information technology in the in silico oncology context
G Stamatakos, D Dionysiou, A Lunzer, R Belleman, E Kolokotroni, ...
IEEE Journal of Biomedical and Health Informatics 18 (3), 840-854, 2013
‘In silico’oncology for clinical decision making in the context of nephroblastoma
N Graf, A Hoppe, E Georgiadi, R Belleman, C Desmedt, D Dionysiou, ...
Klinische Paediatrie 221 (03), 141-149, 2009
Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors
M Erdt, M Kirschner, K Drechsler, S Wesarg, M Hammon, A Cavallaro
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011
Detection defect in printed circuit boards using unsupervised feature extraction upon transfer learning
I Volkau, A Mujeeb, D Wenting, E Marius, S Alexei
2019 International Conference on Cyberworlds (CW), 101-108, 2019
OR 2.0 Context-aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-based Procedures, and Skin Image Analysis: First International Workshop, OR 2.0 …
D Stoyanov, Z Taylor, D Sarikaya, J McLeod, MAG Ballester, NCF Codella, ...
Springer, 2018
Unsupervised surface defect detection using deep autoencoders and data augmentation
A Mujeeb, W Dai, M Erdt, A Sourin
2018 International Conference on Cyberworlds (CW), 391-398, 2018
Model-based pancreas segmentation in portal venous phase contrast-enhanced CT images
M Hammon, A Cavallaro, M Erdt, P Dankerl, M Kirschner, K Drechsler, ...
Journal of digital imaging 26 (6), 1082-1090, 2013
Semi-automatic anatomical tree matching for landmark-based elastic registration of liver volumes
K Drechsler, C Laura, Y Chen, M Erdt
Journal of Healthcare Engineering 1 (1), 101-123, 2010
Simultaneous segmentation and correspondence establishment for statistical shape models
M Erdt, M Kirschner, S Wesarg
3D Physiological Human Workshop, 25-35, 2009
A novel robust kernel principal component analysis for nonlinear statistical shape modeling from erroneous data
J Ma, A Wang, F Lin, S Wesarg, M Erdt
Computerized Medical Imaging and Graphics 77, 101638, 2019
CAD of osteoporosis in vertebrae using dual-energy CT
S Wesarg, K Kafchitsas, M Erdt, MF Khan
2010 IEEE 23rd International Symposium on Computer-Based Medical Systems …, 2010
Synthesis of medical images using gans
L Middel, C Palm, M Erdt
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and …, 2019
Lymph node segmentation in CT slices using dynamic programming
S Steger, D Ebert, M Erdt
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011
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