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)

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)

Automatic Plane Adjustment of Orthopedic Intraoperative Flat Panel Detector CT-Volumes. - Celia Martín Vicario; Florian Kordon; Felix Denzinger; Markus Weiten; Sarina Thomas; Lisa Kausch; Jochen Franke; Holger Keil; Andreas Maier 001; Holger Kunze (MICCAI (2), 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)

Abstract: Automatic Plane Adjustment in Surgical Cone Beam CT-volumes. - Celia Martín Vicario; Florian Kordon; Felix Denzinger; Markus Weiten; Sarina Thomas; Lisa Kausch; Jochen Franke; Holger Keil; Andreas Maier 001; Holger Kunze (Bildverarbeitung für die Medizin, 2021)

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)

Automatic Plane Adjustment of Orthopedic Intra-operative Flat Panel Detector CT-Volumes. - Celia Martín Vicario; Florian Kordon; Felix Denzinger; Jan Siad El Barbari; Maxim Privalov; Jochen Franke; Sarina Thomas; Lisa Kausch; Andreas K. Maier; Holger Kunze (CoRR, 2021)

First Steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain. - Sonja Kunzmann; Christian Marzahl; Felix Denzinger; Christof Bertram; Robert Klopfleisch; Katharina Breininger; Vincent Christlein; Andreas K. Maier (Bildverarbeitung für die Medizin, 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)

Normalization techniques for CNN based analysis of surgical cone beam CT volumes. - Celia Martín Vicario; Florian Kordon; Felix Denzinger; Jan Siad El Barbari; Maxim Privalov; Jochen Franke; Andreas Maier 001; Holger Kunze (Image Processing, 2022)

Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors. - Florian Thamm; Felix Denzinger; Leonhard Rist; Celia Martín Vicario; Florian Kordon; Andreas K. Maier (CoRR, 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)

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)

Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT. - Fabian Wagner; Mareike Thies; Felix Denzinger; Mingxuan Gu; Mayank Patwari; Stefan B. Ploner; Noah Maul; Laura Pfaff; Yixing Huang; Andreas K. Maier (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)

An unobtrusive quality supervision approach for medical image annotation. - Sonja Kunzmann; Mathias Öttl; Prathmesh Madhu; Felix Denzinger; Andreas K. Maier (CoRR, 2022)

Gradient-Based Geometry Learning for Fan-Beam CT Reconstruction. - Mareike Thies; Fabian Wagner; Noah Maul; Lukas Folle; Manuela Meier; Maximilian Rohleder; Linda-Sophie Schneider; Laura Pfaff; Mingxuan Gu; Jonas Utz; Felix Denzinger; Michael Manhart 001; 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)

Abstract: Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT. - Fabian Wagner; Mareike Thies; Felix Denzinger; Mingxuan Gu; Mayank Patwari; Stefan B. Ploner; Noah Maul; Laura Pfaff; Yixing Huang; 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)

Whole-Body Multi-Organ Segmentation Using Anatomical Attention. - Chang Liu; Felix Denzinger; Lukas Folle; Jingna Qiu; Laura Klein; Joscha Maier; Marc Kachelriess; Michael Lell; Andreas Maier 001 (ISBI, 2023)

Robust Multi-Contrast Mri Denoising Using Trainable Bilateral Filters Without Noise-Free Targets. - Laura Pfaff; Fabian Wagner; Julian Hossbach; Elisabeth Preuhs; Noah Maul; Mareike Thies; Felix Denzinger; Dominik Nickel; Tobias Würfl; Andreas Maier 001 (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)

On the Benefit of Dual-Domain Denoising in a Self-Supervised Low-Dose CT Setting. - Fabian Wagner; Mareike Thies; Laura Pfaff; Oliver Aust; Sabrina Pechmann; Daniela Weidner; Noah Maul; Maximilian Rohleder; Mingxuan Gu; Jonas Utz; Felix Denzinger; Andreas Maier 001 (ISBI, 2023)

Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy. - Kai Packhäuser; Sebastian Gündel; Florian Thamm; Felix Denzinger; Andreas K. Maier (MICCAI (3), 2023)

Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation. - Maximilian Rohleder; Charlotte Pradel; Fabian Wagner; Mareike Thies; Noah Maul; Felix Denzinger; Andreas K. Maier; Björn W. Kreher (MICCAI (3), 2023)

Lung, nodule, and airway segmentation using partially annotated data. - Anne von Querfurth; Florian Kordon; Felix Denzinger; Katharina Breininger; Holger Kunze (Image-Guided Procedures, 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)

Abstract: Utility-preserving Measure for Patient Privacy - Deep Learning-based Anonymization of Chest Radiographs. - Kai Packhäuser; Sebastian Gündel; Florian Thamm; Felix Denzinger; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

Abstract: Robust Multi-contrast MRI Denoising using Trainable Bilateral Filters without Noise-free Targets. - Laura Pfaff; Fabian Wagner; Julian Hossbach; Elisabeth Preuhs; Mareike Thies; Felix Denzinger; Dominik Nickel; Tobias Würfl; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

Abstract: Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation. - Maximilian Rohleder; Charlotte Pradel; Fabian Wagner; Mareike Thies; Noah Maul; Felix Denzinger; Andreas K. Maier; Björn W. Kreher (Bildverarbeitung für die Medizin, 2024)

Abstract: Gradient-based Geometry Learning for Fan-beam CT Reconstruction. - Mareike Thies; Fabian Wagner; Noah Maul; Lukas Folle; Manuela Meier; Maximilian Rohleder; Linda-Sophie Schneider; Laura Pfaff; Mingxuan Gu; Jonas Utz; Felix Denzinger; Michael Manhart 001; et al. (Bildverarbeitung für die Medizin, 2024)

Abstract: Self-supervised CT Dual Domain Denoising using Low-parameter Models. - Fabian Wagner; Mareike Thies; Laura Pfaff; Oliver Aust; Sabrina Pechmann; Daniela Weidner; Noah Maul; Maximilian Rohleder; Mingxuan Gu; Jonas Utz; Felix Denzinger; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)