Ultrasound-Specific Segmentation via Decorrelation and Statistical Region-Based Active Contours. - Gregory G. Slabaugh; Gozde B. Unal; Tong Fang; Michael Wels (CVPR (1), 2006)

A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI. - Michael Wels; Gustavo Carneiro 001; Alexander Aplas; Martin Huber 001; Joachim Hornegger; Dorin Comaniciu (MICCAI (1), 2008)

Fast and Robust 3-D MRI Brain Structure Segmentation. - Michael Wels; Yefeng Zheng 001; Gustavo Carneiro 001; Martin Huber 001; Joachim Hornegger; Dorin Comaniciu (MICCAI (1), 2009)

Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning. - B. Michael Kelm; Shaohua Kevin Zhou; Michael Sühling; Yefeng Zheng 001; Michael Wels; Dorin Comaniciu (MCV, 2010)

Probabilistic modeling for segmentation in magnetic resonance images of the human brain. - Michael Wels (2010)

Multi-stage osteolytic spinal bone lesion detection from CT data with internal sensitivity control. - Michael Wels; B. Michael Kelm; Alexey Tsymbal; Matthias Hammon; Grzegorz Soza; Michael Sühling; Alexander Cavallaro; Dorin Comaniciu (Computer-Aided Diagnosis, 2012)

Data-Driven Breast Decompression and Lesion Mapping from Digital Breast Tomosynthesis. - Michael Wels; B. Michael Kelm; Matthias Hammon; Anna K. Jerebko; Michael Sühling; Dorin Comaniciu (MICCAI (1), 2012)

Fast and robust 3D vertebra segmentation using statistical shape models. - Hengameh Mirzaalian; Michael Wels; Tobias Heimann; B. Michael Kelm; Michael Sühling (EMBC, 2013)

Pectoral Muscle Detection in Digital Breast Tomosynthesis and Mammography. - Florin C. Ghesu; Michael Wels; Anna K. Jerebko; Michael Sühling; Joachim Hornegger; B. Michael Kelm (MCV, 2013)

Spine detection in CT and MR using iterated marginal space learning. - B. Michael Kelm; Michael Wels; Shaohua Kevin Zhou; Sascha Seifert; Michael Sühling; Yefeng Zheng 001; Dorin Comaniciu (Medical Image Anal., 2013)

Image-based Co-Registration of Angiography and Intravascular Ultrasound Images. - Peng Wang 005; Olivier Ecabert; Terrence Chen; Michael Wels; Johannes Rieber; Martin Ostermeier; Dorin Comaniciu (IEEE Trans. Medical Imaging, 2013)

Estimating a Patient Surface Model for Optimizing the Medical Scanning Workflow. - Vivek Kumar Singh; Yao-Jen Chang; Kai Ma; Michael Wels; Grzegorz Soza; Terrence Chen (MICCAI (1), 2014)

Inner and outer coronary vessel wall segmentation from CCTA using an active contour model with machine learning-based 3D voxel context-aware image force. - Udhayaraj Sivalingam; Michael Wels; Markus Rempfler; Stefan Grosskopf; Michael Sühling; Bjoern H. Menze (Computer-Aided Diagnosis, 2016)

Growing a Random Forest with Fuzzy Spatial Features for Fully Automatic Artery-Specific Coronary Calcium Scoring. - Felix Durlak; Michael Wels; Chris Schwemmer; Michael Sühling; Stefan Steidl; Andreas K. Maier (MLMI@MICCAI, 2017)

Geometric modeling of the aortic inner and outer vessel wall from CTA for aortic dissection analysis. - Katharina Eigen; Michael Wels; Daniel Sebastian Dohle; Michael Sühling; Andreas K. Maier (Image-Guided Procedures, 2018)

General purpose radiomics for multi-modal clinical research. - Michael G. Wels; Félix Lades; Alexander Muehlberg; Michael Sühling (Computer-Aided Diagnosis, 2019)

Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics. - Felix Denzinger; Michael Wels; Nishant Ravikumar; Katharina Breininger; Anika Reidelshöfer; Joachim Eckert; Michael Sühling; Axel Schmermund; Andreas Maier 001 (MICCAI (4), 2019)

Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans. - Felix Denzinger; Michael Wels; Katharina Breininger; Anika Reidelshöfer; Joachim Eckert; Michael Sühling; Axel Schmermund; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics. - Felix Denzinger; Michael Wels; Katharina Breininger; Anika Reidelshöfer; Joachim Eckert; Michael Sühling; Axel Schmermund; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

Automatic CAD-RADS Scoring Using Deep Learning. - Felix Denzinger; Michael Wels; Katharina Breininger; Mehmet A. Gülsün; Max Schöbinger; Florian André; Sebastian Buß 001; Johannes Görich; Michael Sühling; Andreas K. Maier (MICCAI (6), 2020)

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. - 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 (J. Digit. Imaging, 2020)

Abstract: Automatic CAD-RADS Scoring using Deep Learning. - Felix Denzinger; Michael Wels; Katharina Breininger; Mehmet A. Gülsün; Max Schöbinger; Florian André; Sebastian Buß 001; Johannes Görich; Michael Sühling; Andreas Maier 001 (Bildverarbeitung für die Medizin, 2021)

Coronary Plaque Analysis for CT Angiography Clinical Research. - Felix Denzinger; Michael Wels; Christian Hopfgartner; Jing Lu; Max Schöbinger; Andreas Maier 001; Michael Sühling (Bildverarbeitung für die Medizin, 2021)

CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling. - Felix Denzinger; Michael Wels; Oliver Taubmann; Mehmet A. Gülsün; Max Schöbinger; Florian André; Sebastian J. Buss; Johannes Görich; Michael Sühling; Andreas K. Maier (MIDL, 2022)

CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling. - 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 (CoRR, 2022)

Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography. - Felix Denzinger; Michael Wels; Oliver Taubmann; Florian Kordon; Fabian Wagner; Stephanie Mehltretter; Mehmet A. Gülsün; Max Schöbinger; Florian André; Sebastian Buß 001; Johannes Görich; Michael Sühling; et al. (ISBI, 2023)

Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography. - Felix Denzinger; Michael Wels; Oliver Taubmann; Florian Kordon; Fabian Wagner; Stephanie Mehltretter; Mehmet A. Gülsün; Max Schöbinger; Florian André; Sebastian Buß 001; Johannes Görich; Michael Sühling; et al. (CoRR, 2023)

Abstract: Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography. - Felix Denzinger; Michael Wels; Oliver Taubmann; Florian Kordon; Fabian Wagner; Stephanie Mehltretter; Mehmet A. Gülsün; Max Schöbinger; Florian André; Sebastian Buß 001; Johannes Görich; Michael Sühling; et al. (Bildverarbeitung für die Medizin, 2024)