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Michael Sühling
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2020 – today
- 2024
- [c50]Leonhard Rist
, Oliver Taubmann
Abstract: Flexible Unfolding of Circular Structures for Rendering Textbook-style Cerebrovascular Maps. Bildverarbeitung für die Medizin 2024: 12 - [c49]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 - [c48]Leonhard Rist, Christopher Homm, Félix Lades, Abraham Ayala Hernandez, Michael Sühling, Erik Gudman Steuble Brandt, Andreas K. Maier, Oliver Taubmann:
Pancreatic Vessel Landmark Detection in CT Angiography Using Prior Anatomical Knowledge. AIPAD/PILM@MICCAI 2024: 45-54 - 2023
- [j11]Leonhard Rist
Bifurcation matching for consistent cerebral vessel labeling in CTA of stroke patients. Int. J. Comput. Assist. Radiol. Surg. 18(3): 509-516 (2023) - [c47]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 - [c46]Leonhard Rist, Oliver Taubmann, Alexander Mühlberg, Felix Denzinger, Florian Thamm, Michael Sühling, Dominik Nörenberg, Julian Walter Holch, Stefan Maurus, Leonie Gebauer, Thomas Huber, Andreas Maier:
Spatial Lesion Graphs: Analyzing Liver Metastases with Geometric Deep Learning for Cancer Survival Regression. ISBI 2023: 1-5 - [c45]Leonhard Rist
Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps. MICCAI (5) 2023: 737-746 - [i7]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
- [c44]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 - [i6]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
- [j10]Alexander Katzmann
Explaining clinical decision support systems in medical imaging using cycle-consistent activation maximization. Neurocomputing 458: 141-156 (2021) - [c43]Felix Denzinger, Michael Wels, Katharina Breininger
Abstract: Automatic CAD-RADS Scoring using Deep Learning. Bildverarbeitung für die Medizin 2021: 104 - [c42]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 - [i5]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
- [j9]Fatemeh Homayounieh
Accuracy of radiomics for differentiating diffuse liver diseases on non-contrast CT. Int. J. Comput. Assist. Radiol. Surg. 15(10): 1727-1736 (2020) - [c41]Felix Denzinger, Michael Wels, Katharina Breininger
Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans. Bildverarbeitung für die Medizin 2020: 193-198 - [c40]Felix Denzinger, Michael Wels, Katharina Breininger
Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics. Bildverarbeitung für die Medizin 2020: 200 - [c39]Alexander Katzmann
Deep Random Forests for Small Sample Size Prediction with Medical Imaging Data. ISBI 2020: 1543-1547 - [c38]Felix Denzinger, Michael Wels, Katharina Breininger
Automatic CAD-RADS Scoring Using Deep Learning. MICCAI (6) 2020: 45-54 - [i4]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) - [i3]Alexander Katzmann
Explaining Clinical Decision Support Systems in Medical Imaging using Cycle-Consistent Activation Maximization. CoRR abs/2010.05759 (2020)
2010 – 2019
- 2019
- [c37]Alexander Katzmann
Deep Metamemory - A Generic Framework for Stabilized One-Shot Confidence Estimation in Deep Neural Networks and its Application on Colorectal Cancer Liver Metastases Growth Prediction. ISBI 2019: 1298-1302 - [c36]Michael G. Wels, Félix Lades, Alexander Muehlberg, Michael Sühling:
General purpose radiomics for multi-modal clinical research. Medical Imaging: Computer-Aided Diagnosis 2019: 1095046 - [c35]Alexander Katzmann
Computed Tomography Image-Based Deep Survival Regression for Metastatic Colorectal Cancer Using a Non-proportional Hazards Model. PRIME@MICCAI 2019: 73-80 - [c34]Felix Denzinger, Michael Wels, Nishant Ravikumar
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
- [c33]Alexander Katzmann
TumorEncode - Deep Convolutional Autoencoder for Computed Tomography Tumor Treatment Assessment. IJCNN 2018: 1-8 - [c32]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
- [c31]Felix Durlak, Michael Wels, Chris Schwemmer, Michael Sühling, Stefan Steidl
Growing a Random Forest with Fuzzy Spatial Features for Fully Automatic Artery-Specific Coronary Calcium Scoring. MLMI@MICCAI 2017: 27-35 - [c30]Hannes Martinke, Christian Petry, Stefan Großkopf, Michael Sühling, Grzegorz Soza, Bernhard Preim, Gabriel Mistelbauer:
Bone Fracture and Lesion Assessment using Shape-Adaptive Unfolding. VCBM 2017: 149-158 - 2016
- [c29]Shuqing Chen, Yanye Lu
3-D printing based production of head and neck masks for radiation therapy using CT volume data: A fully automatic framework. ISBI 2016: 403-406 - [c28]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
- [j8]Jan Kretschmer, Grzegorz Soza, Christian Tietjen, Michael Sühling, Bernhard Preim
ADR - Anatomy-Driven Reformation. IEEE Trans. Vis. Comput. Graph. 20(12): 2496-2505 (2014) - 2013
- [j7]B. Michael Kelm, Michael Wels, Shaohua Kevin Zhou, Sascha Seifert, Michael Sühling, Yefeng Zheng
Spine detection in CT and MR using iterated marginal space learning. Medical Image Anal. 17(8): 1283-1292 (2013) - [c27]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 - [c26]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
- [j6]Adrian Barbu
Automatic Detection and Segmentation of Lymph Nodes From CT Data. IEEE Trans. Medical Imaging 31(2): 240-250 (2012) - [c25]Dijia Wu, David Liu, Michael Sühling, Christian Tietjen, Grzegorz Soza, Shaohua Kevin Zhou:
Automatic detection of liver lesion from 3D computed tomography images. CVPR Workshops 2012: 31-37 - [c24]Dime Vitanovski, Kristof Ralovich, Razvan Ioan Ionasec, Yefeng Zheng
Personalized learning-based segmentation of thoracic aorta and main branches for diagnosis and treatment planning. ISBI 2012: 836-839 - [c23]Michael Wels, B. Michael Kelm, Alexey Tsymbal, Matthias Hammon
Multi-stage osteolytic spinal bone lesion detection from CT data with internal sensitivity control. Medical Imaging: Computer-Aided Diagnosis 2012: 831513 - [c22]Dijia Wu, David Liu, Michael Sühling, Shaohua Kevin Zhou, Christian Tietjen:
A Cascade Learning Method for Liver Lesion Detection in CT Images. MCV 2012: 206-214 - [c21]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 - 2011
- [c20]María Jimena Costa, Alexey Tsymbal, William Nguatem, Michael Sühling, Shaohua Kevin Zhou, Dorin Comaniciu
A method for mass candidate detection and an application to liver lesion detection. Medical Imaging: Computer-Aided Diagnosis 2011: 79630R - [c19]María Jimena Costa, Alexey Tsymbal, Matthias Hammon
A Discriminative Distance Learning-Based CBIR Framework for Characterization of Indeterminate Liver Lesions. MCBR-CDS 2011: 92-104 - [c18]Michal Sofka, Dijia Wu, Michael Sühling, David Liu, Christian Tietjen, Grzegorz Soza, Shaohua Kevin Zhou:
Automatic Contrast Phase Estimation in CT Volumes. MICCAI (3) 2011: 166-174 - 2010
- [c17]Adrian Barbu, Michael Sühling, Xun Xu, David Liu, Shaohua Kevin Zhou, Dorin Comaniciu
Automatic Detection and Segmentation of Axillary Lymph Nodes. MICCAI (1) 2010: 28-36 - [c16]B. Michael Kelm, Shaohua Kevin Zhou, Michael Sühling, Yefeng Zheng
Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning. MCV 2010: 96-105
2000 – 2009
- 2009
- [c15]Sascha Seifert, Adrian Barbu, Shaohua Kevin Zhou, David Liu, Johannes Feulner, Martin Huber, Michael Sühling, Alexander Cavallaro, Dorin Comaniciu
Hierarchical parsing and semantic navigation of full body CT data. Medical Imaging: Image Processing 2009: 725902 - 2008
- [c14]Haibin Ling, Shaohua Kevin Zhou, Yefeng Zheng
Hierarchical, learning-based automatic liver segmentation. CVPR 2008 - [c13]Marius Erdt
Automatic Hepatic Vessel Segmentation Using Graphics Hardware. MIAR 2008: 403-412 - [c12]Lutz Guendel, Michael Sühling, Helmut Eckert:
Novel method for digital subtraction of tagged stool in virtual colonoscopy. Medical Imaging: Image Processing 2008: 69143C - 2007
- [j5]Muthuvel Arigovindan, Michael Sühling, Christian P. Jansen, Patrick R. Hunziker, Michael Unser
Full Motion and Flow Field Recovery From Echo Doppler Data. IEEE Trans. Medical Imaging 26(1): 31-45 (2007) - [c11]Xiang Deng, Lei Zhu, Yiyong Sun, Chenyang Xu, Lan Song, Jiuhong Chen, Reto D. Merges, Marie-Pierre Jolly, Michael Sühling, Xiaodong Xu:
On Simulating Subjective Evaluation Using Combined Objective Metrics for Validation of 3D Tumor Segmentation. MICCAI (1) 2007: 977-984 - 2006
- [c10]Muthuvel Arigovindan, Michael Sühling, Christian P. Jansen, Patrick R. Hunziker, Michael Unser:
Full flow/motion-field recovery from pulsed-wave ultrasound Doppler data. ISBI 2006: 213-216 - [c9]Reto D. Merges, Daniel Rinck, Michael Sühling, Olaf Dössel
Anatomical-based segmentation with stenosis bridging and gap closing in atherosclerotic cardiac MSCT. Medical Imaging: Image Processing 2006: 61440B - 2005
- [j4]Muthuvel Arigovindan, Michael Sühling, Patrick R. Hunziker, Michael Unser
Variational image reconstruction from arbitrarily spaced samples: a fast multiresolution spline solution. IEEE Trans. Image Process. 14(4): 450-460 (2005) - [j3]Michael Sühling, Muthuvel Arigovindan, Christian P. Jansen, Patrick R. Hunziker, Michael Unser
Myocardial motion analysis from B-mode echocardiograms. IEEE Trans. Image Process. 14(4): 525-536 (2005) - [j2]María J. Ledesma-Carbayo
Spatio-temporal nonrigid registration for ultrasound cardiac motion estimation. IEEE Trans. Medical Imaging 24(9): 1113-1126 (2005) - 2004
- [j1]Michael Sühling, Muthuvel Arigovindan, Patrick R. Hunziker, Michael Unser
Multiresolution moment filters: theory and applications. IEEE Trans. Image Process. 13(4): 484-495 (2004) - [c8]Michael Sühling, Muthuvel Arigovindan, Michael Unser, Christian P. Jansen, Patrick R. Hunziker:
Bimodal Myocardial Motion Analysis from B-mode and Tissue Doppler Ultrasound. ISBI 2004: 308-311 - [c7]Michael Sühling, Muthuvel Arigovindan, Christian P. Jansen, Patrick R. Hunziker, Michael Unser
Myocardial Motion and Strain Rate Analysis from Ultrasound Sequences. IWCM 2004: 177-189 - 2003
- [c6]Christian H. P. Jansen, Muthuvel Arigovindan, Michael Sühling, Stephan Marsch
Multidimensional, multistage wavelet footprints: a new tool for image segmentation and feature extraction in medical ultrasound. Medical Imaging: Image Processing 2003 - [c5]Michael Sühling, Muthuvel Arigovindan, Christian P. Jansen, Patrick R. Hunziker, Michael A. Unser
Myocardial motion analysis and visualization from echocardiograms. Medical Imaging: Image Processing 2003 - 2002
- [c4]Muthuvel Arigovindan, Michael Sühling, Patrick R. Hunziker, Michael Unser:
Multigrid image reconstruction from arbitrarily spaced samples. ICIP (3) 2002: 381-384 - [c3]Michael Sühling, Muthuvel Arigovindan, Patrick R. Hunziker, Michael Unser:
Multiresolution moment filters. ICIP (1) 2002: 393-396 - [c2]Michael Sühling, Muthuvel Arigovindan, Patrick R. Hunziker, Michael Unser
Motion analysis of echocardiograms using a local-affine, spatio-temporal model. ISBI 2002: 573-576 - [c1]María J. Ledesma-Carbayo
Cardiac ultrasound motion detection by elastic registration exploiting temporal coherence. ISBI 2002: 585-588
Coauthor Index
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last updated on 2024-10-11 17:25 CEST by the dblp team
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