GPU-Accelerated Time-of-Flight Super-Resolution for Image-Guided Surgery. - Jens Wetzl; Oliver Taubmann; Sven Haase; Thomas Köhler 004; Martin Kraus 003; Joachim Hornegger (Bildverarbeitung für die Medizin, 2013)

Fast Interpolation of Dense Motion Fields from Synthetic Phantoms. - Andreas K. Maier; Oliver Taubmann; Jens Wetzl; Jakob Wasza; Christoph Forman; Peter Fischer 001; Joachim Hornegger; Rebecca Fahrig (Bildverarbeitung für die Medizin, 2014)

Projection-Based Denoising Method for Photon-Counting Energy-Resolving Detectors. - Yanye Lu; Michael Manhart 001; Oliver Taubmann; Tobias Zobel; Qiao Yang; Jang Hwan Choi 001; Meng Wu; Arnd Doerfler; Rebecca Fahrig; Qiushi Ren; Joachim Hornegger; Andreas K. Maier (Bildverarbeitung für die Medizin, 2015)

Sharp as a Tack. - Oliver Taubmann; Jens Wetzl; Günter Lauritsch; Andreas K. Maier; Joachim Hornegger (Bildverarbeitung für die Medizin, 2015)

Estimate, Compensate, Iterate: Joint Motion Estimation and Compensation in 4-D Cardiac C-arm Computed Tomography. - Oliver Taubmann; Günter Lauritsch; Andreas K. Maier; Rebecca Fahrig; Joachim Hornegger (MICCAI (2), 2015)

Make the Most of Time Temporal Extension of the iTV Algorithm for 4D Cardiac C-Arm CT. - Viktor Haase; Oliver Taubmann; Yixing Huang; Gregor Krings; Günter Lauritsch; Andreas K. Maier; Alfred Mertins (Bildverarbeitung für die Medizin, 2016)

Image Quality Analysis of Limited Angle Tomography Using the Shift-Variant Data Loss Model. - Yixing Huang; Guenter Lauritsch; Mario Amrehn; Oliver Taubmann; Viktor Haase; Daniel Stromer; Xiaolin Huang; Andreas K. Maier (Bildverarbeitung für die Medizin, 2016)

A new weighted anisotropic total variation algorithm for limited angle tomography. - Yixing Huang; Oliver Taubmann; Xiaolin Huang; Viktor Haase; Günter Lauritsch; Andreas K. Maier (ISBI, 2016)

A Kernel Ridge Regression Model for Respiratory Motion Estimation in Radiotherapy. - Tobias Geimer; Adriana Birlutiu; Mathias Unberath; Oliver Taubmann; Christoph Bert; Andreas K. Maier (Bildverarbeitung für die Medizin, 2017)

Towards Understanding Preservation of Periodic Object Motion in Computed Tomography. - Franziska Schirrmacher; Oliver Taubmann; Mathias Unberath; Andreas K. Maier (Bildverarbeitung für die Medizin, 2017)

A kernel-based framework for intra-fractional respiratory motion estimation in radiation therapy. - Tobias Geimer; Mathias Unberath; Adriana Birlutiu; Oliver Taubmann; J. Wolfelschneider; Christoph Bert; Andreas K. Maier (ISBI, 2017)

Spatio-temporally regularized 4-D cardiovascular C-arm CT reconstruction using a proximal algorithm. - Oliver Taubmann; Mathias Unberath; Günter Lauritsch; Stephan Achenbach; Andreas K. Maier (ISBI, 2017)

Respiratory motion compensation in rotational angiography: Graphical model-based optimization of auto-focus measures. - Mathias Unberath; Oliver Taubmann; Bastian Bier; Tobias Geimer; Michaela M. Hell; Stephan Achenbach; Andreas K. Maier (ISBI, 2017)

Scale-Space Anisotropic Total Variation for Limited Angle Tomography. - Yixing Huang; Oliver Taubmann; Xiaolin Huang; Viktor Haase; Guenter Lauritsch; Andreas K. Maier (CoRR, 2017)

Traditional Machine Learning Techniques for Streak Artifact Reduction in Limited Angle Tomography. - Yixing Huang; Yanye Lu; Oliver Taubmann; Guenter Lauritsch; Andreas K. Maier (Bildverarbeitung für die Medizin, 2018)

Prior-Free Respiratory Motion Estimation in Rotational Angiography. - Mathias Unberath; Oliver Taubmann; André Aichert; Stephan Achenbach; Andreas K. Maier (IEEE Trans. Medical Imaging, 2018)

Dynamic Cardiac Chamber Imaging in C-arm Computed Tomography (Dynamische Herzkammerbildgebung in der C-Bogen-Computertomographie) - Oliver Taubmann (2018)

Computed Tomography. - Oliver Taubmann; Martin Berger 002; Marco Bögel; Yan Xia 002; Michael Balda; Andreas K. Maier (Medical Imaging Systems, 2018)

Traditional machine learning for limited angle tomography. - Yixing Huang; Yanye Lu; Oliver Taubmann; Guenter Lauritsch; Andreas K. Maier (Int. J. Comput. Assist. Radiol. Surg., 2019)

Detection of Ischemic Infarct Core in Non-contrast Computed Tomography. - Maximilian Hornung; Oliver Taubmann; Hendrik Ditt; Björn H. Menze; Pawel Andrzej Herman; Erik Fransén (MLMI@MICCAI, 2020)

Automatic Detection of Free Intra-abdominal Air in Computed Tomography. - Oliver Taubmann; Jingpeng Li 004; Felix Denzinger; Eva Eibenberger; Felix C. Müller; Mathias W. Brejnebøl; Andreas Maier 001 (MICCAI (2), 2020)

SyNCCT: Synthetic Non-contrast Images of the Brain from Single-Energy Computed Tomography Angiography. - Florian Thamm; Oliver Taubmann; Felix Denzinger; Markus Jürgens; Hendrik Ditt; Andreas Maier 001 (MICCAI (7), 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)

Thrombus Detection in Non-contrast Head CT Using Graph Deep Learning. - Antonia Popp; Oliver Taubmann; Florian Thamm; Hendrik Ditt; Andreas K. Maier; Katharina Breininger (Bildverarbeitung für die Medizin, 2022)

Detection of Large Vessel Occlusions Using Deep Learning by Deforming Vessel Tree Segmentations. - Florian Thamm; Oliver Taubmann; Markus Jürgens; Hendrik Ditt; Andreas K. Maier (Bildverarbeitung für die Medizin, 2022)

Detecting Large Vessel Occlusions using Graph Deep Learning. - Jad Kassam; Florian Thamm; Leonhard Rist; Oliver Taubmann; Andreas K. Maier (GeoMedIA, 2022)

Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection. - Florian Thamm; Oliver Taubmann; Markus Jürgens; Aleksandra Thamm; Felix Denzinger; Leonhard Rist; Hendrik Ditt; Andreas Maier 001 (MICCAI (3), 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 (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)

An Algorithm for the Labeling and Interactive Visualization of the Cerebrovascular System of Ischemic Strokes. - Florian Thamm; Markus Jürgens; Oliver Taubmann; Aleksandra Thamm; Leonhard Rist; Hendrik Ditt; Andreas K. Maier (CoRR, 2022)

DeepTechnome: Mitigating Unknown Bias in Deep Learning Based Assessment of CT Images. - Simon Langer; Oliver Taubmann; Felix Denzinger; Andreas K. Maier; Alexander Mühlberg (CoRR, 2022)

SEMPAI: a Self-Enhancing Multi-Photon Artificial Intelligence for prior-informed assessment of muscle function and pathology. - Alexander Mühlberg; Paul Ritter; Simon Langer; Chloë Goossens; Stefanie Nübler; Dominik Schneidereit; Oliver Taubmann; Felix Denzinger; Dominik Nörenberg; Michael Haug; Wolfgang H. Goldmann; Andreas K. Maier; et al. (CoRR, 2022)

Mitigating Unknown Bias in Deep Learning-based Assessment of CT Images DeepTechnome. - Simon Langer; Oliver Taubmann; Felix Denzinger; Andreas K. Maier; Alexander Mühlberg (Bildverarbeitung für die Medizin, 2023)

Cerebral Vessel Tree Estimation from Non-contrast CT using Deep Learning Methods. - Jonas Schauer; Florian Thamm; Oliver Taubmann; Andreas K. Maier (Bildverarbeitung für die Medizin, 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. (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)

Segmentation of Acute Ischemic Stroke in Native and Enhanced CT using Uncertainty-aware Labels. - Linda Vorberg; Oliver Taubmann; Hendrik Ditt; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

Appearance-based Debiasing of Deep Learning Models in Medical Imaging. - Frauke Wilm; Marcel Reimann; Oliver Taubmann; Alexander Mühlberg; Katharina Breininger (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)

Analysing Variables for 90-Day Functional-Outcome Prediction of Endovascular Thrombectomy. - Dalia Rodríguez-Salas; Christian Riess; Celia Martín Vicario; Oliver Taubmann; Hendrik Ditt; Stefan Schwab; Arnd Dörfler (MIUA (2), 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)