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2020 – today
- 2024
[c10]Kai Packhäuser, Lukas Folle, Tri-Thien Nguyen, Florian Thamm, Andreas K. Maier:
Privacy-enhancing Image Sampling for the Synthesis of High-quality Anonymous Chest Radiographs. Bildverarbeitung für die Medizin 2024: 27-32- [c9]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 - [c8]Mareike Thies
, Noah Maul, Siyuan Mei, Laura Pfaff, Nastassia Vysotskaya, Mingxuan Gu, Jonas Utz, Dennis Possart, Lukas Folle, Fabian Wagner, Andreas K. Maier:
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation from Clean Images. MICCAI (7) 2024: 253-263 - [i7]Mareike Thies, Fabian Wagner, Noah Maul, Haijun Yu, Manuela Meier, Linda-Sophie Schneider, Mingxuan Gu, Siyuan Mei, Lukas Folle, Andreas K. Maier:
A gradient-based approach to fast and accurate head motion compensation in cone-beam CT. CoRR abs/2401.09283 (2024) - [i6]Mareike Thies, Noah Maul, Siyuan Mei, Laura Pfaff, Nastassia Vysotskaya, Mingxuan Gu, Jonas Utz, Dennis Possart, Lukas Folle, Fabian Wagner, Andreas Maier:
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images. CoRR abs/2404.14747 (2024) - 2023
- [c7]Tri-Thien Nguyen, Lukas Folle, Thomas Bayer, Andreas K. Maier:
Detection of Arterial Occlusion on Magnetic Resonance Angiography of the Thigh using Deep Learning. Bildverarbeitung für die Medizin 2023: 273-278 - [c6]Lukas Folle, Pauline Fenzl, Filippo Fagni, Mareike Thies, Vincent Christlein, Christine Meder, Michael Sticherling, David Simon, Georg Schett, Andreas Maier, Arnd Kleyer:
Deepnapsi: Deep Learning for Nail Psoriasis Prediction. ISBI 2023: 1-5 - [c5]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 - [c4]Kai Packhäuser, Lukas Folle, Florian Thamm, Andreas Maier:
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems. ISBI 2023: 1-5 - 2022
- [c3]Lukas Folle, Katharian Tkotz, Fasil Gadjimuradov, Lorenz A. Kapsner, Moritz Fabian, Sebastian Bickelhaupt, David Simon, Arnd Kleyer, Gerhard Krönke, Moritz Zaiß, Armin M. Nagel, Andreas K. Maier:
Towards Super-resolution CEST MRI for Visualization of Small Structures. Bildverarbeitung für die Medizin 2022: 210-215 - [c2]Haobo Song, Chang Liu, Lukas Folle, Andreas K. Maier:
Multi-organ Segmentation with Partially Annotated Datasets. Bildverarbeitung für die Medizin 2022: 216-221 - [i5]Mareike Thies, Fabian Wagner, Mingxuan Gu, Lukas Folle, Lina Felsner, Andreas K. Maier:
Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations. CoRR abs/2201.07562 (2022) - [i4]Kai Packhäuser, Lukas Folle, Florian Thamm, Andreas K. Maier:
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems. CoRR abs/2211.01323 (2022) - [i3]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
- [i2]Lukas Folle, Katharian Tkotz, Fasil Gadjimuradov, Lorenz A. Kapsner, Moritz Fabian, Sebastian Bickelhaupt, David Simon, Arnd Kleyer, Gerhard Krönke, Moritz Zaiß, Armin M. Nagel, Andreas K. Maier:
Towards Super-Resolution CEST MRI for Visualization of Small Structures. CoRR abs/2112.01905 (2021)
2010 – 2019
- 2019
- [c1]Lukas Folle, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier:
Dilated Deeply Supervised Networks for Hippocampus Segmentation in MRI. Bildverarbeitung für die Medizin 2019: 68-73 - [i1]Lukas Folle, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier:
Dilated deeply supervised networks for hippocampus segmentation in MRI. CoRR abs/1903.09097 (2019)
Coauthor Index
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last updated on 2024-12-26 01:56 CET by the dblp team
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