Michael Wels

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 19

Top Venues

CoRR

Bildverarbeitung für die Medizin

ISBI

Medical Imaging: Computer-Aided Diagnosis

University of Erlangen-Nuremberg (PHD)

Education History

University of Erlangen-Nuremberg

PHD

Publications

Felix Denzinger, Michael Wels, Oliver Taubmann, Florian Kordon, Fabian Wagner, Stephanie Mehltretter, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas K. Maier, Katharina Breininger
Abstract: Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography. Bildverarbeitung für die Medizin (2024)
Felix Denzinger, Michael Wels, Oliver Taubmann, Florian Kordon, Fabian Wagner, Stephanie Mehltretter, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas Maier, Katharina Breininger
Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography. ISBI (2023)
Felix Denzinger, Michael Wels, Oliver Taubmann, Florian Kordon, Fabian Wagner, Stephanie Mehltretter, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas K. Maier
Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography. CoRR (2023)
Felix Denzinger, Michael Wels, Oliver Taubmann, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian J. Buss, Johannes Görich, Michael Sühling, Andreas K. Maier, Katharina Breininger
CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling. CoRR (2022)
Felix Denzinger, Michael Wels, Oliver Taubmann, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian J. Buss, Johannes Görich, Michael Sühling, Andreas K. Maier
CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling. MIDL (2022)
Felix Denzinger, Michael Wels, Christian Hopfgartner, Jing Lu, Max Schöbinger, Andreas Maier, Michael Sühling
Coronary Plaque Analysis for CT Angiography Clinical Research. CoRR (2021)
Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas Maier
Abstract: Automatic CAD-RADS Scoring using Deep Learning. Bildverarbeitung für die Medizin (2021)
Felix Denzinger, Michael Wels, Christian Hopfgartner, Jing Lu, Max Schöbinger, Andreas Maier, Michael Sühling
Coronary Plaque Analysis for CT Angiography Clinical Research. Bildverarbeitung für die Medizin (2021)
Vikash Gupta, Mutlu Demirer, Matthew T. Bigelow, Kevin J. Little, Sema Candemir, Luciano M. Prevedello, Richard D. White, Thomas P. O'Donnell, Michael Wels, Barbaros S. Erdal
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, Photometric Conversion, or Transfer Learning. J. Digit. Imaging 33 (2) (2020)
Felix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas K. Maier
Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans. Bildverarbeitung für die Medizin (2020)
Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas K. Maier
Automatic CAD-RADS Scoring Using Deep Learning. MICCAI (6) (2020)
Felix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas K. Maier
Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics. Bildverarbeitung für die Medizin (2020)
Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas K. Maier
Automatic CAD-RADS Scoring Using Deep Learning. CoRR (2020)
Felix Denzinger, Michael Wels, Nishant Ravikumar, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas Maier
Coronary Artery Plaque Characterization from CCTA Scans using Deep Learning and Radiomics. CoRR (2019)
Felix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas K. Maier
Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans. CoRR (2019)
Felix Denzinger, Michael Wels, Nishant Ravikumar, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas Maier
Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics. MICCAI (4) (2019)
Katharina Eigen, Michael Wels, Daniel Sebastian Dohle, Michael Sühling, Andreas K. Maier
Geometric modeling of the aortic inner and outer vessel wall from CTA for aortic dissection analysis. Medical Imaging: Image-Guided Procedures (2018)
Felix Durlak, Michael Wels, Chris Schwemmer, Michael Sühling, Stefan Steidl, Andreas K. Maier
Growing a Random Forest with Fuzzy Spatial Features for Fully Automatic Artery-Specific Coronary Calcium Scoring. MLMI@MICCAI (2017)
Udhayaraj Sivalingam, Michael Wels, Markus Rempfler, Stefan Grosskopf, Michael Sühling, Bjoern H. Menze
Inner and outer coronary vessel wall segmentation from CCTA using an active contour model with machine learning-based 3D voxel context-aware image force. Medical Imaging: Computer-Aided Diagnosis (2016)
Vivek Kumar Singh, Yao-Jen Chang, Kai Ma, Michael Wels, Grzegorz Soza, Terrence Chen
Estimating a Patient Surface Model for Optimizing the Medical Scanning Workflow. MICCAI (1) (2014)
Peng Wang, Olivier Ecabert, Terrence Chen, Michael Wels, Johannes Rieber, Martin Ostermeier, Dorin Comaniciu
Image-based Co-Registration of Angiography and Intravascular Ultrasound Images. IEEE Trans. Medical Imaging 32 (12) (2013)
Florin C. Ghesu, Michael Wels, Anna K. Jerebko, Michael Sühling, Joachim Hornegger, B. Michael Kelm
Pectoral Muscle Detection in Digital Breast Tomosynthesis and Mammography. MCV (2013)
B. Michael Kelm, Michael Wels, Shaohua Kevin Zhou, Sascha Seifert, Michael Sühling, Yefeng Zheng, Dorin Comaniciu
Spine detection in CT and MR using iterated marginal space learning. Medical Image Anal. 17 (8) (2013)
Hengameh Mirzaalian, Michael Wels, Tobias Heimann, B. Michael Kelm, Michael Sühling
Fast and robust 3D vertebra segmentation using statistical shape models. EMBC (2013)
Michael Wels, B. Michael Kelm, Matthias Hammon, Anna K. Jerebko, Michael Sühling, Dorin Comaniciu
Data-Driven Breast Decompression and Lesion Mapping from Digital Breast Tomosynthesis. MICCAI (1) (2012)
Michael Wels, B. Michael Kelm, Alexey Tsymbal, Matthias Hammon, Grzegorz Soza, Michael Sühling, Alexander Cavallaro, Dorin Comaniciu
Multi-stage osteolytic spinal bone lesion detection from CT data with internal sensitivity control. Medical Imaging: Computer-Aided Diagnosis (2012)
B. Michael Kelm, Shaohua Kevin Zhou, Michael Sühling, Yefeng Zheng, Michael Wels, Dorin Comaniciu
Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning. MCV (2010)
Michael Wels, Yefeng Zheng, Gustavo Carneiro, Martin Huber, Joachim Hornegger, Dorin Comaniciu
Fast and Robust 3-D MRI Brain Structure Segmentation. MICCAI (1) (2009)
Michael Wels, Gustavo Carneiro, Alexander Aplas, Martin Huber, Joachim Hornegger, Dorin Comaniciu
A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI. MICCAI (1) (2008)
Gregory G. Slabaugh, Gozde B. Unal, Tong Fang, Michael Wels
Ultrasound-Specific Segmentation via Decorrelation and Statistical Region-Based Active Contours. CVPR (1) (2006)

Michael Wels.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Michael Wels