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2020 – today
- 2024
[c22]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: 116- 2023
- [c21]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: 1-5 - [i6]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 abs/2306.01752 (2023) - 2022
- [c20]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: 315-324 - [i5]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 abs/2202.03671 (2022) - 2021
- [c19]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: 104 - [c18]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: 223-228 - [i4]Felix Denzinger, Michael Wels, Christian Hopfgartner, Jing Lu, Max Schöbinger, Andreas Maier, Michael Sühling:
Coronary Plaque Analysis for CT Angiography Clinical Research. CoRR abs/2101.03799 (2021) - 2020
- [j3]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): 431-438 (2020) - [c17]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: 193-198 - [c16]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: 200 - [c15]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: 45-54 - [i3]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 abs/2010.01963 (2020)
2010 – 2019
- 2019
- [c14]Michael G. Wels, Félix Lades, Alexander Muehlberg, Michael Sühling:
General purpose radiomics for multi-modal clinical research. Medical Imaging: Computer-Aided Diagnosis 2019: 1095046 - [c13]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: 593-601 - [i2]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 abs/1912.06075 (2019) - [i1]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 abs/1912.06417 (2019) - 2018
- [c12]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: 105761X - 2017
- [c11]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: 27-35 - 2016
- [c10]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: 978502 - 2014
- [c9]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: 472-479 - 2013
- [j2]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): 1283-1292 (2013) - [j1]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): 2238-2249 (2013) - [c8]Hengameh Mirzaalian, Michael Wels, Tobias Heimann, B. Michael Kelm, Michael Sühling:
Fast and robust 3D vertebra segmentation using statistical shape models. EMBC 2013: 3379-3382 - [c7]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: 148-157 - 2012
- [c6]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: 831513 - [c5]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: 438-446 - 2010
- [b1]Michael Wels:
Probabilistic modeling for segmentation in magnetic resonance images of the human brain. University of Erlangen-Nuremberg, 2010, ISBN 978-3-8325-2631-3, pp. 1-128 - [c4]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: 96-105
2000 – 2009
- 2009
- [c3]Michael Wels, Yefeng Zheng, Gustavo Carneiro, Martin Huber, Joachim Hornegger, Dorin Comaniciu:
Fast and Robust 3-D MRI Brain Structure Segmentation. MICCAI (1) 2009: 575-583 - 2008
- [c2]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: 67-75 - 2006
- [c1]Gregory G. Slabaugh, Gozde B. Unal, Tong Fang, Michael Wels:
Ultrasound-Specific Segmentation via Decorrelation and Statistical Region-Based Active Contours. CVPR (1) 2006: 45-53
Coauthor Index
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