Lukas Folle

According to our database, Lukas Folle authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A gradient-based approach to fast and accurate head motion compensation in cone-beam CT.

Mareike Thies, Fabian Wagner, Noah Maul, Haijun Yu, Manuela Meier, Linda-Sophie Schneider, Mingxuan Gu, Siyuan Mei, Lukas Folle, Andreas K. Maier

CoRR, 2024

Differentiable Score-Based Likelihoods: Learning CT Motion Compensation from Clean Images.

Mareike Thies, Noah Maul, Siyuan Mei, Laura Pfaff, Nastassia Vysotskaya, Mingxuan Gu, Jonas Utz, Dennis Possart, Lukas Folle, Fabian Wagner, Andreas K. Maier

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Privacy-enhancing Image Sampling for the Synthesis of High-quality Anonymous Chest Radiographs.

Kai Packhäuser, Lukas Folle, Tri-Thien Nguyen, Florian Thamm, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems.

Kai Packhäuser, Lukas Folle, Florian Thamm, Andreas Maier

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Deepnapsi: Deep Learning for Nail Psoriasis Prediction.

Lukas Folle, Pauline Fenzl, Filippo Fagni, Mareike Thies, Vincent Christlein, Christine Meder, Michael Sticherling, David Simon, Georg Schett, Andreas Maier, Arnd Kleyer

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Detection of Arterial Occlusion on Magnetic Resonance Angiography of the Thigh using Deep Learning.

Tri-Thien Nguyen, Lukas Folle, Thomas Bayer, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

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, Andreas K. Maier

CoRR, 2022

Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations.

Mareike Thies, Fabian Wagner, Mingxuan Gu, Lukas Folle, Lina Felsner, Andreas K. Maier

CoRR, 2022

Multi-organ Segmentation with Partially Annotated Datasets.

Haobo Song, Chang Liu, Lukas Folle, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Towards Super-resolution CEST MRI for Visualization of Small Structures.

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

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2019

Dilated Deeply Supervised Networks for Hippocampus Segmentation in MRI.

Lukas Folle, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019