Michael Wels

31 papers Journal 9Unranked 21
YearRankTypeTitle / Venue / Authors
2024 — conf
Abstract: Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography.
Bildverarbeitung für die Medizin
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
2023 — conf
Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography.
ISBI
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
2023 J jnl
Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography.
CoRR
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
2022 — conf
CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling.
MIDL
Felix Denzinger, Michael Wels, Oliver Taubmann, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian J. Buss, Johannes Görich, Michael Sühling, Andreas K. Maier
2022 J jnl
CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling.
CoRR
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
2021 — conf
Abstract: Automatic CAD-RADS Scoring using Deep Learning.
Bildverarbeitung für die Medizin
Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas Maier
2021 — conf
Coronary Plaque Analysis for CT Angiography Clinical Research.
Bildverarbeitung für die Medizin
Felix Denzinger, Michael Wels, Christian Hopfgartner, Jing Lu, Max Schöbinger, Andreas Maier, Michael Sühling
2021 J jnl
Coronary Plaque Analysis for CT Angiography Clinical Research.
CoRR
Felix Denzinger, Michael Wels, Christian Hopfgartner, Jing Lu, Max Schöbinger, Andreas Maier, Michael Sühling
2020 — conf
Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics.
Bildverarbeitung für die Medizin
Felix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas K. Maier
2020 — conf
Automatic CAD-RADS Scoring Using Deep Learning.
MICCAI (6)
Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas K. Maier
2020 J jnl
Automatic CAD-RADS Scoring Using Deep Learning.
CoRR
Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas K. Maier
2020 — conf
Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans.
Bildverarbeitung für die Medizin
Felix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas K. Maier
2020 J jnl
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
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
2019 — conf
Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics.
MICCAI (4)
Felix Denzinger, Michael Wels, Nishant Ravikumar, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas Maier
2019 J jnl
Coronary Artery Plaque Characterization from CCTA Scans using Deep Learning and Radiomics.
CoRR
Felix Denzinger, Michael Wels, Nishant Ravikumar, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas Maier
2019 J jnl
Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans.
CoRR
Felix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas K. Maier
2018 — conf
Geometric modeling of the aortic inner and outer vessel wall from CTA for aortic dissection analysis.
Image-Guided Procedures
Katharina Eigen, Michael Wels, Daniel Sebastian Dohle, Michael Sühling, Andreas K. Maier
2017 — conf
Growing a Random Forest with Fuzzy Spatial Features for Fully Automatic Artery-Specific Coronary Calcium Scoring.
MLMI@MICCAI
Felix Durlak, Michael Wels, Chris Schwemmer, Michael Sühling, Stefan Steidl, Andreas K. Maier
2016 — conf
Inner and outer coronary vessel wall segmentation from CCTA using an active contour model with machine learning-based 3D voxel context-aware image force.
Computer-Aided Diagnosis
Udhayaraj Sivalingam, Michael Wels, Markus Rempfler, Stefan Grosskopf, Michael Sühling, Bjoern H. Menze
2014 — conf
Estimating a Patient Surface Model for Optimizing the Medical Scanning Workflow.
MICCAI (1)
Vivek Kumar Singh, Yao-jen Chang, Kai Ma, Michael Wels, Grzegorz Soza, Terrence Chen
2013 — conf
Fast and robust 3D vertebra segmentation using statistical shape models.
EMBC
Hengameh Mirzaalian, Michael Wels, Tobias Heimann, B. Michael Kelm, Michael Sühling
2013 J jnl
Image-based Co-Registration of Angiography and Intravascular Ultrasound Images.
IEEE Trans. Medical Imaging
Peng Wang, Olivier Ecabert, Terrence Chen, Michael Wels, Johannes Rieber, Martin Ostermeier, Dorin Comaniciu
2013 — conf
Pectoral Muscle Detection in Digital Breast Tomosynthesis and Mammography.
MCV
Florin C. Ghesu, Michael Wels, Anna K. Jerebko, Michael Sühling, Joachim Hornegger, B. Michael Kelm
2013 J jnl
Spine detection in CT and MR using iterated marginal space learning.
Medical Image Anal.
B. Michael Kelm, Michael Wels, Shaohua Kevin Zhou, Sascha Seifert, Michael Sühling, Yefeng Zheng, Dorin Comaniciu
2012 — conf
Data-Driven Breast Decompression and Lesion Mapping from Digital Breast Tomosynthesis.
MICCAI (1)
Michael Wels, B. Michael Kelm, Matthias Hammon, Anna K. Jerebko, Michael Sühling, Dorin Comaniciu
2012 — conf
Multi-stage osteolytic spinal bone lesion detection from CT data with internal sensitivity control.
Computer-Aided Diagnosis
Michael Wels, B. Michael Kelm, Alexey Tsymbal, Matthias Hammon, Grzegorz Soza, Michael Sühling, Alexander Cavallaro, Dorin Comaniciu
2010 — conf
Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning.
MCV
B. Michael Kelm, Shaohua Kevin Zhou, Michael Sühling, Yefeng Zheng, Michael Wels, Dorin Comaniciu
2010 — —
Probabilistic modeling for segmentation in magnetic resonance images of the human brain.
Michael Wels
2009 — conf
Fast and Robust 3-D MRI Brain Structure Segmentation.
MICCAI (1)
Michael Wels, Yefeng Zheng, Gustavo Carneiro, Martin Huber, Joachim Hornegger, Dorin Comaniciu
2008 — conf
A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI.
MICCAI (1)
Michael Wels, Gustavo Carneiro, Alexander Aplas, Martin Huber, Joachim Hornegger, Dorin Comaniciu
2006 — conf
Ultrasound-Specific Segmentation via Decorrelation and Statistical Region-Based Active Contours.
CVPR (1)
Gregory G. Slabaugh, Gozde B. Unal, Tong Fang, Michael Wels