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2020 – today
- 2024
[c30]Laura Pfaff, Fabian Wagner, Julian Hossbach, Elisabeth Preuhs, Mareike Thies, Felix Denzinger, Dominik Nickel, Tobias Würfl, Andreas K. Maier:
Abstract: Robust Multi-contrast MRI Denoising using Trainable Bilateral Filters without Noise-free Targets. Bildverarbeitung für die Medizin 2024: 26- [c29]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 - [c28]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:
Abstract: Self-supervised CT Dual Domain Denoising using Low-parameter Models. Bildverarbeitung für die Medizin 2024: 159 - [c27]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, Andreas K. Maier:
Abstract: Gradient-based Geometry Learning for Fan-beam CT Reconstruction. Bildverarbeitung für die Medizin 2024: 204 - [c26]Maximilian Rohleder, Charlotte Pradel, Fabian Wagner, Mareike Thies, Noah Maul, Felix Denzinger, Andreas K. Maier, Björn W. Kreher:
Abstract: Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation. Bildverarbeitung für die Medizin 2024: 217 - [c25]Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas K. Maier:
Abstract: Utility-preserving Measure for Patient Privacy - Deep Learning-based Anonymization of Chest Radiographs. Bildverarbeitung für die Medizin 2024: 363 - 2023
- [c24]Fabian Wagner, Mareike Thies, Felix Denzinger, Mingxuan Gu, Mayank Patwari, Stefan B. Ploner, Noah Maul, Laura Pfaff, Yixing Huang
, Andreas K. Maier:
Abstract: Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT. Bildverarbeitung für die Medizin 2023: 63 - [c23]Simon Langer, Oliver Taubmann, Felix Denzinger, Andreas K. Maier, Alexander Mühlberg:
Mitigating Unknown Bias in Deep Learning-based Assessment of CT Images DeepTechnome. Bildverarbeitung für die Medizin 2023: 177-182 - [c22]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 - [c21]Chang Liu, Felix Denzinger, Lukas Folle, Jingna Qiu, Laura Klein, Joscha Maier, Marc Kachelriess, Michael Lell, Andreas Maier:
Whole-Body Multi-Organ Segmentation Using Anatomical Attention. ISBI 2023: 1-5 - [c20]Laura Pfaff, Fabian Wagner, Julian Hossbach, Elisabeth Preuhs, Noah Maul, Mareike Thies, Felix Denzinger, Dominik Nickel, Tobias Würfl, Andreas Maier:
Robust Multi-Contrast Mri Denoising Using Trainable Bilateral Filters Without Noise-Free Targets. ISBI 2023: 1-5 - [c19]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 - [c18]Fabian Wagner, Mareike Thies, Laura Pfaff, Oliver Aust, Sabrina Pechmann, Daniela Weidner, Noah Maul, Maximilian Rohleder, Mingxuan Gu, Jonas Utz, Felix Denzinger, Andreas Maier:
On the Benefit of Dual-Domain Denoising in a Self-Supervised Low-Dose CT Setting. ISBI 2023: 1-5 - [c17]Maximilian Rohleder, Charlotte Pradel, Fabian Wagner, Mareike Thies, Noah Maul, Felix Denzinger, Andreas K. Maier, Björn W. Kreher:
Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation. MICCAI (3) 2023: 57-65 - [c16]Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas K. Maier:
Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy. MICCAI (3) 2023: 262-272 - [c15]Anne von Querfurth, Florian Kordon, Felix Denzinger, Katharina Breininger, Holger Kunze:
Lung, nodule, and airway segmentation using partially annotated data. Medical Imaging: Image-Guided Procedures 2023 - [i17]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
- [c14]Sonja Kunzmann, Christian Marzahl, Felix Denzinger, Christof Bertram, Robert Klopfleisch, Katharina Breininger, Vincent Christlein, Andreas K. Maier:
First Steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain. Bildverarbeitung für die Medizin 2022: 223-228 - [c13]Florian Thamm, Oliver Taubmann, Markus Jürgens, Aleksandra Thamm, Felix Denzinger, Leonhard Rist, Hendrik Ditt, Andreas Maier:
Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection. MICCAI (3) 2022: 634-643 - [c12]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 - [c11]Celia Martín Vicario, Florian Kordon, Felix Denzinger, Jan Siad El Barbari, Maxim Privalov, Jochen Franke, Andreas Maier, Holger Kunze:
Normalization techniques for CNN based analysis of surgical cone beam CT volumes. Medical Imaging: Image Processing 2022 - [i16]Florian Thamm, Felix Denzinger, Leonhard Rist, Celia Martín Vicario, Florian Kordon, Andreas K. Maier:
Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors. CoRR abs/2201.06259 (2022) - [i15]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) - [i14]Florian Thamm, Oliver Taubmann, Markus Jürgens, Aleksandra Thamm, Felix Denzinger, Leonhard Rist, Hendrik Ditt, Andreas K. Maier:
Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection. CoRR abs/2205.02848 (2022) - [i13]Simon Langer, Oliver Taubmann, Felix Denzinger, Andreas K. Maier, Alexander Mühlberg:
DeepTechnome: Mitigating Unknown Bias in Deep Learning Based Assessment of CT Images. CoRR abs/2205.13297 (2022) - [i12]Fabian Wagner, Mareike Thies, Felix Denzinger, Mingxuan Gu, Mayank Patwari, Stefan B. Ploner, Noah Maul, Laura Pfaff, Yixing Huang, Andreas K. Maier:
Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT. CoRR abs/2207.07368 (2022) - [i11]Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas K. Maier:
Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy. CoRR abs/2209.11531 (2022) - [i10]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, Oliver Friedrich, Lucas Kreiss:
SEMPAI: a Self-Enhancing Multi-Photon Artificial Intelligence for prior-informed assessment of muscle function and pathology. CoRR abs/2210.16273 (2022) - [i9]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:
On the Benefit of Dual-domain Denoising in a Self-supervised Low-dose CT Setting. CoRR abs/2211.01111 (2022) - [i8]Sonja Kunzmann, Mathias Öttl, Prathmesh Madhu, Felix Denzinger, Andreas K. Maier:
An unobtrusive quality supervision approach for medical image annotation. CoRR abs/2211.06146 (2022) - [i7]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, Andreas K. Maier:
Gradient-Based Geometry Learning for Fan-Beam CT Reconstruction. CoRR abs/2212.02177 (2022) - 2021
- [c10]Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas Maier:
Abstract: Automatic CAD-RADS Scoring using Deep Learning. Bildverarbeitung für die Medizin 2021: 104 - [c9]Celia Martín Vicario, Florian Kordon, Felix Denzinger, Markus Weiten, Sarina Thomas, Lisa Kausch, Jochen Franke, Holger Keil, Andreas Maier, Holger Kunze:
Abstract: Automatic Plane Adjustment in Surgical Cone Beam CT-volumes. Bildverarbeitung für die Medizin 2021: 170 - [c8]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 - [c7]Florian Thamm, Oliver Taubmann, Felix Denzinger, Markus Jürgens, Hendrik Ditt, Andreas Maier:
SyNCCT: Synthetic Non-contrast Images of the Brain from Single-Energy Computed Tomography Angiography. MICCAI (7) 2021: 681-690 - [i6]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) - [i5]Celia Martín Vicario, Florian Kordon, Felix Denzinger, Jan Siad El Barbari, Maxim Privalov, Jochen Franke, Sarina Thomas, Lisa Kausch, Andreas K. Maier, Holger Kunze:
Automatic Plane Adjustment of Orthopedic Intra-operative Flat Panel Detector CT-Volumes. CoRR abs/2109.10731 (2021) - [i4]Sonja Kunzmann, Christian Marzahl, Felix Denzinger, Christof A. Bertram, Robert Klopfleisch, Katharina Breininger, Vincent Christlein, Andreas K. Maier:
First steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain. CoRR abs/2111.03663 (2021) - 2020
- [c6]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. Bildverarbeitung für die Medizin 2020: 193-198 - [c5]Felix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas K. Maier:
Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics. Bildverarbeitung für die Medizin 2020: 200 - [c4]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. MICCAI (6) 2020: 45-54 - [c3]Oliver Taubmann, Jingpeng Li, Felix Denzinger, Eva Eibenberger, Felix C. Müller, Mathias W. Brejnebøl, Andreas Maier:
Automatic Detection of Free Intra-abdominal Air in Computed Tomography. MICCAI (2) 2020: 232-241 - [c2]Celia Martín Vicario, Florian Kordon, Felix Denzinger, Markus Weiten, Sarina Thomas, Lisa Kausch, Jochen Franke, Holger Keil, Andreas Maier, Holger Kunze:
Automatic Plane Adjustment of Orthopedic Intraoperative Flat Panel Detector CT-Volumes. MICCAI (2) 2020: 486-495 - [i3]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)
2010 – 2019
- 2019
- [c1]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. 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)
Coauthor Index
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