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Michael Wels
Michael Wels
Siemens Healthcare GmbH
Verified email at siemens.com
Title
Cited by
Cited by
Year
Spine detection in CT and MR using iterated marginal space learning
BM Kelm, M Wels, SK Zhou, S Seifert, M Suehling, Y Zheng, D Comaniciu
Medical image analysis 17 (8), 1283-1292, 2013
1452013
A discriminative model-constrained graph cuts approach to fully automated pediatric brain tumor segmentation in 3-D MRI
M Wels, G Carneiro, A Aplas, M Huber, J Hornegger, D Comaniciu
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2008: 11th …, 2008
1092008
Method and system for constructing personalized avatars using a parameterized deformable mesh
K Ma, T Chen, VK Singh, YJ Chang, M Wels, G Soza
US Patent 9,524,582, 2016
812016
Ultrasound-specific segmentation via decorrelation and statistical region-based active contours
G Slabaugh, G Unal, T Fang, M Wels
2006 IEEE computer society conference on computer vision and pattern …, 2006
762006
General purpose radiomics for multi-modal clinical research
MG Wels, F Lades, A Muehlberg, M Suehling
Medical imaging 2019: Computer-aided diagnosis 10950, 1047-1054, 2019
572019
Statistical region-based segmentation of ultrasound images
G Slabaugh, G Unal, M Wels, T Fang, B Rao
Ultrasound in medicine & biology 35 (5), 781-795, 2009
562009
Automatic detection of lytic and blastic thoracolumbar spine metastases on computed tomography
M Hammon, P Dankerl, A Tsymbal, M Wels, M Kelm, M May, M Suehling, ...
European radiology 23, 1862-1870, 2013
512013
Detection of 3D spinal geometry using iterated marginal space learning
BM Kelm, SK Zhou, M Suehling, Y Zheng, M Wels, D Comaniciu
Medical Computer Vision. Recognition Techniques and Applications in Medical …, 2011
502011
Method and system for guiding catheter detection in fluoroscopic images
M Wels, P Wang, T Chen, S Prummer, D Comaniciu
US Patent 8,548,213, 2013
422013
Image-based co-registration of angiography and intravascular ultrasound images
P Wang, O Ecabert, T Chen, M Wels, J Rieber, M Ostermeier, ...
IEEE transactions on medical imaging 32 (12), 2238-2249, 2013
382013
FAST AND ROBUST 3D VERTEBRA SEGMENTATION USING STATISTICAL SHAPE MODELS
H Mirzaalian, M Wels, T Heimann, M Kelm, M Suehling
362013
Method and system for on-site learning of landmark detection models for end user-specific diagnostic medical image reading
M Wels, M Kelm, M Suehling, SK Zhou
US Patent 9,113,781, 2015
342015
A discriminative model-constrained EM approach to 3D MRI brain tissue classification and intensity non-uniformity correction
M Wels, Y Zheng, M Huber, J Hornegger, D Comaniciu
Physics in Medicine & Biology 56 (11), 3269-3300, 2011
322011
Fast and robust 3-D MRI brain structure segmentation
M Wels, Y Zheng, G Carneiro, M Huber, J Hornegger, D Comaniciu
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: 12th …, 2009
322009
Multi-stage osteolytic spinal bone lesion detection from CT data with internal sensitivity control
M Wels, BM Kelm, A Tsymbal, M Hammon, G Soza, M Sühling, ...
SPIE Medical Imaging 2012: Computer-Aided Diagnosis, 831513-1-8, 2012
312012
Performance of a deep neural network algorithm based on a small medical image dataset: incremental impact of 3D-to-2D reformation combined with novel data augmentation …
V Gupta, M Demirer, M Bigelow, KJ Little, S Candemir, LM Prevedello, ...
Journal of digital imaging 33, 431-438, 2020
292020
Coronary artery plaque characterization from CCTA scans using deep learning and radiomics
F Denzinger, M Wels, N Ravikumar, K Breininger, A Reidelshöfer, J Eckert, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
282019
A user interface for optimizing radiologist engagement in image data curation for artificial intelligence
M Demirer, S Candemir, MT Bigelow, SM Yu, V Gupta, LM Prevedello, ...
Radiology: Artificial Intelligence 1 (6), e180095, 2019
272019
Dual-energy computed tomography-based radiomics to predict peritoneal metastasis in gastric cancer
Y Chen, W Xi, W Yao, L Wang, Z Xu, M Wels, F Yuan, C Yan, H Zhang
Frontiers in Oncology 11, 659981, 2021
242021
Fully automated segmentation of multiple sclerosis lesions in multispectral MRI
M Wels, M Huber, J Hornegger
Pattern Recognition and Image Analysis 18, 347-350, 2008
242008
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