Multigrid image reconstruction from arbitrarily spaced samples. - Muthuvel Arigovindan; Michael Sühling; Patrick R. Hunziker; Michael Unser (ICIP (3), 2002)

Multiresolution moment filters. - Michael Sühling; Muthuvel Arigovindan; Patrick R. Hunziker; Michael Unser (ICIP (1), 2002)

Cardiac ultrasound motion detection by elastic registration exploiting temporal coherence. - María J. Ledesma-Carbayo; Jan Kybic; Michael Sühling; Patrick R. Hunziker; Manuel Desco; Andrés Santos; Michael Unser (ISBI, 2002)

Motion analysis of echocardiograms using a local-affine, spatio-temporal model. - Michael Sühling; Muthuvel Arigovindan; Patrick R. Hunziker; Michael Unser (ISBI, 2002)

Multidimensional, multistage wavelet footprints: a new tool for image segmentation and feature extraction in medical ultrasound. - Christian H. P. Jansen; Muthuvel Arigovindan; Michael Sühling; Stephan Marsch; Michael A. Unser; Patrick R. Hunziker (Image Processing, 2003)

Myocardial motion analysis and visualization from echocardiograms. - Michael Sühling; Muthuvel Arigovindan; Christian P. Jansen; Patrick R. Hunziker; Michael A. Unser (Image Processing, 2003)

Bimodal Myocardial Motion Analysis from B-mode and Tissue Doppler Ultrasound. - Michael Sühling; Muthuvel Arigovindan; Michael Unser; Christian P. Jansen; Patrick R. Hunziker (ISBI, 2004)

Myocardial Motion and Strain Rate Analysis from Ultrasound Sequences. - Michael Sühling; Muthuvel Arigovindan; Christian P. Jansen; Patrick R. Hunziker; Michael Unser (IWCM, 2004)

Multiresolution moment filters: theory and applications. - Michael Sühling; Muthuvel Arigovindan; Patrick R. Hunziker; Michael Unser (IEEE Trans. Image Process., 2004)

Variational image reconstruction from arbitrarily spaced samples: a fast multiresolution spline solution. - Muthuvel Arigovindan; Michael Sühling; Patrick R. Hunziker; Michael Unser (IEEE Trans. Image Process., 2005)

Myocardial motion analysis from B-mode echocardiograms. - Michael Sühling; Muthuvel Arigovindan; Christian P. Jansen; Patrick R. Hunziker; Michael Unser (IEEE Trans. Image Process., 2005)

Spatio-temporal nonrigid registration for ultrasound cardiac motion estimation. - María J. Ledesma-Carbayo; Jan Kybic; Manuel Desco; Andrés Santos; Michael Sühling; Patrick R. Hunziker; Michael Unser (IEEE Trans. Medical Imaging, 2005)

Full flow/motion-field recovery from pulsed-wave ultrasound Doppler data. - Muthuvel Arigovindan; Michael Sühling; Christian P. Jansen; Patrick R. Hunziker; Michael Unser (ISBI, 2006)

Anatomical-based segmentation with stenosis bridging and gap closing in atherosclerotic cardiac MSCT. - Reto D. Merges; Daniel Rinck; Michael Sühling; Olaf Dössel; Michael Scheuering (Image Processing, 2006)

On Simulating Subjective Evaluation Using Combined Objective Metrics for Validation of 3D Tumor Segmentation. - Xiang Deng; Lei Zhu; Yiyong Sun; Chenyang Xu 001; Lan Song; Jiuhong Chen; Reto D. Merges; Marie-Pierre Jolly; Michael Sühling; Xiaodong Xu (MICCAI (1), 2007)

Full Motion and Flow Field Recovery From Echo Doppler Data. - Muthuvel Arigovindan; Michael Sühling; Christian P. Jansen; Patrick R. Hunziker; Michael Unser (IEEE Trans. Medical Imaging, 2007)

Hierarchical, learning-based automatic liver segmentation. - Haibin Ling; Shaohua Kevin Zhou; Yefeng Zheng 001; Bogdan Georgescu; Michael Sühling; Dorin Comaniciu (CVPR, 2008)

Automatic Hepatic Vessel Segmentation Using Graphics Hardware. - Marius Erdt; Matthias Raspe; Michael Sühling (MIAR, 2008)

Novel method for digital subtraction of tagged stool in virtual colonoscopy. - Lutz Guendel; Michael Sühling; Helmut Eckert (Image Processing, 2008)

Hierarchical parsing and semantic navigation of full body CT data. - Sascha Seifert; Adrian Barbu; Shaohua Kevin Zhou; David Liu 001; Johannes Feulner; Martin Huber 001; Michael Sühling; Alexander Cavallaro; Dorin Comaniciu (Image Processing, 2009)

Automatic Detection and Segmentation of Axillary Lymph Nodes. - Adrian Barbu; Michael Sühling; Xun Xu; David Liu 001; Shaohua Kevin Zhou; Dorin Comaniciu (MICCAI (1), 2010)

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)

A method for mass candidate detection and an application to liver lesion detection. - María Jimena Costa; Alexey Tsymbal; William Nguatem; Michael Sühling; Shaohua Kevin Zhou; Dorin Comaniciu (Computer-Aided Diagnosis, 2011)

A Discriminative Distance Learning-Based CBIR Framework for Characterization of Indeterminate Liver Lesions. - María Jimena Costa; Alexey Tsymbal; Matthias Hammon; Alexander Cavallaro; Michael Sühling; Sascha Seifert; Dorin Comaniciu (MCBR-CDS, 2011)

Automatic Contrast Phase Estimation in CT Volumes. - Michal Sofka; Dijia Wu; Michael Sühling; David Liu 001; Christian Tietjen; Grzegorz Soza; Shaohua Kevin Zhou (MICCAI (3), 2011)

Automatic detection of liver lesion from 3D computed tomography images. - Dijia Wu; David Liu 001; Michael Sühling; Christian Tietjen; Grzegorz Soza; Shaohua Kevin Zhou (CVPR Workshops, 2012)

Personalized learning-based segmentation of thoracic aorta and main branches for diagnosis and treatment planning. - Dime Vitanovski; Kristof Ralovich; Razvan Ioan Ionasec; Yefeng Zheng 001; Michael Sühling; Waldemar Krawtschuk; Joachim Hornegger; Dorin Comaniciu (ISBI, 2012)

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)

A Cascade Learning Method for Liver Lesion Detection in CT Images. - Dijia Wu; David Liu 001; Michael Sühling; Shaohua Kevin Zhou; Christian Tietjen (MCV, 2012)

Automatic Detection and Segmentation of Lymph Nodes From CT Data. - Adrian Barbu; Michael Sühling; Xun Xu; David Liu 001; Shaohua Kevin Zhou; Dorin Comaniciu (IEEE Trans. Medical Imaging, 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)

ADR - Anatomy-Driven Reformation. - Jan Kretschmer; Grzegorz Soza; Christian Tietjen; Michael Sühling; Bernhard Preim; Marc Stamminger (IEEE Trans. Vis. Comput. Graph., 2014)

3-D printing based production of head and neck masks for radiation therapy using CT volume data: A fully automatic framework. - Shuqing Chen; Yanye Lu; Christian Hopfgartner; Michael Sühling; Stefan Steidl; Joachim Hornegger; Andreas K. Maier (ISBI, 2016)

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)

Bone Fracture and Lesion Assessment using Shape-Adaptive Unfolding. - Hannes Martinke; Christian Petry; Stefan Großkopf; Michael Sühling; Grzegorz Soza; Bernhard Preim; Gabriel Mistelbauer (VCBM, 2017)

TumorEncode - Deep Convolutional Autoencoder for Computed Tomography Tumor Treatment Assessment. - Alexander Katzmann; Alexander Mühlberg; Michael Sühling; Dominik Nörenberg; Julian Walter Holch; Horst-Michael Groß (IJCNN, 2018)

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)

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. - Alexander Katzmann; Alexander Mühlberg; Michael Sühling; Dominik Nörenberg; Horst-Michael Groß (ISBI, 2019)

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)

Computed Tomography Image-Based Deep Survival Regression for Metastatic Colorectal Cancer Using a Non-proportional Hazards Model. - Alexander Katzmann; Alexander Mühlberg; Michael Sühling; Dominik Nörenberg; Stefan Maurus; Julian Walter Holch; Volker Heinemann; Horst-Michael Groß (PRIME@MICCAI, 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)

Deep Random Forests for Small Sample Size Prediction with Medical Imaging Data. - Alexander Katzmann; Alexander Muehlberg; Michael Sühling; Dominik Nörenberg; Julian Walter Holch; Horst-Michael Gross (ISBI, 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)

Accuracy of radiomics for differentiating diffuse liver diseases on non-contrast CT. - Fatemeh Homayounieh; Sanjay Saini; Leila Mostafavi; Ruhani Doda Khera; Michael Sühling; Bernhard Schmidt; Ramandeep Singh; Thomas Flohr 001; Mannudeep K. Kalra (Int. J. Comput. Assist. Radiol. Surg., 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)

Explaining clinical decision support systems in medical imaging using cycle-consistent activation maximization. - Alexander Katzmann; Oliver Taubmann; Stephen Ahmad; Alexander Mühlberg; Michael Sühling; Horst-Michael Groß (Neurocomputing, 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)

Spatial Lesion Graphs: Analyzing Liver Metastases with Geometric Deep Learning for Cancer Survival Regression. - 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 001 (ISBI, 2023)

Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps. - Leonhard Rist; Oliver Taubmann; Hendrik Ditt; Michael Sühling; Andreas K. Maier (MICCAI (5), 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)

Bifurcation matching for consistent cerebral vessel labeling in CTA of stroke patients. - Leonhard Rist; Oliver Taubmann; Florian Thamm; Hendrik Ditt; Michael Sühling; Andreas Maier 001 (Int. J. Comput. Assist. Radiol. Surg., 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)

Abstract: Flexible Unfolding of Circular Structures for Rendering Textbook-style Cerebrovascular Maps. - Leonhard Rist; Oliver Taubmann; Hendrik Ditt; Michael Sühling; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

Robust Feature Selection for Classifying Early Ischemic Changes in Posterior Stroke. - Leonhard Rist; Hendrik Ditt; Michael Sühling; Valentin Honus; Peter Schramm; Andreas K. Maier; Oliver Taubmann (SWITCH/ISLES@MICCAI, 2024)

Pancreatic Vessel Landmark Detection in CT Angiography Using Prior Anatomical Knowledge. - Leonhard Rist; Christopher Homm; Félix Lades; Abraham Ayala Hernandez; Michael Sühling; Erik Gudman Steuble Brandt; Andreas K. Maier; Oliver Taubmann (AIPAD/PILM@MICCAI, 2024)

Bayesian Uncertainty Estimation Improves nnU-Net Generalization to Unseen Sites for Stroke Lesion Segmentation. - Linda Vorberg; Hendrik Ditt; Michael Sühling; Andreas K. Maier; Nicolas Murray; Savvas Nicolaou; Oliver Taubmann (SWITCH/ISLES@MICCAI, 2024)

Usefulness of Monoenergetic Non-contrast CT and X-Map Images for Deep Learning-Based Stroke Lesion Segmentation. - Linda Vorberg; Hendrik Ditt; Michael Sühling; Andreas K. Maier; Nicolas Murray; Savvas Nicolaou; Oliver Taubmann (SWITCH/ISLES@MICCAI, 2024)

Neural Image Unfolding: Flattening Sparse Anatomical Structures using Neural Fields. - Leonhard Rist; Pluvio Stephan; Noah Maul; Linda Vorberg; Hendrik Ditt; Michael Sühling; Andreas K. Maier; Bernhard Egger 001; Oliver Taubmann (CoRR, 2024)