Lukas Folle

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Motion Compensation

Chest Radiographs

Super Resolution Image Reconstruction

Organ Segmentation

Top Venues

Bildverarbeitung für die Medizin

Publications

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 (2024)
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)
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 (2024)
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)
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)
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)
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)
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 (2022)
Mareike Thies, Fabian Wagner, Mingxuan Gu, Lukas Folle, Lina Felsner, Andreas K. Maier
Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations. CoRR (2022)
Lukas Folle, Katharian Tkotz, Fasil Gadjimuradov, Lorenz A. Kapsner, Moritz Fabian, Sebastian Bickelhaupt, David Simon, Arnd Kleyer, Gerhard Krönke, Moritz Zaiß, Armin Nagel, Andreas K. Maier
Towards Super-resolution CEST MRI for Visualization of Small Structures. Bildverarbeitung für die Medizin (2022)
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 (2022)
Haobo Song, Chang Liu, Lukas Folle, Andreas K. Maier
Multi-organ Segmentation with Partially Annotated Datasets. Bildverarbeitung für die Medizin (2022)
Lukas Folle, Katharian Tkotz, Fasil Gadjimuradov, Lorenz Kapsner, Moritz Fabian, Sebastian Bickelhaupt, David Simon, Arnd Kleyer, Gerhard Krönke, Moritz Zaiß, Armin Nagel, Andreas K. Maier
Towards Super-Resolution CEST MRI for Visualization of Small Structures. CoRR (2021)
Lukas Folle, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
Dilated Deeply Supervised Networks for Hippocampus Segmentation in MRI. Bildverarbeitung für die Medizin (2019)
Lukas Folle, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
Dilated deeply supervised networks for hippocampus segmentation in MRI. CoRR (2019)