Lukas Folle

19 papers Journal 8Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Gradient-Based Approach to Fast and Accurate Head Motion Compensation in Cone-Beam CT.
IEEE Trans. Medical Imaging
Mareike Thies, Fabian Wagner, Noah Maul, Haijun Yu, Manuela Goldmann, Linda-Sophie Schneider, Mingxuan Gu, Siyuan Mei, Lukas Folle, Alexander Preuhs, Michael Manhart, Andreas K. Maier
2025 — conf
Tubular Anatomy-Aware 3D Semantically Conditioned Image Synthesis.
DGM4MICCAI@MICCAI
Janluka Janelidze, Lukas Folle, Nassir Navab, Mohammad Farid Azampour
2024 J jnl
A gradient-based approach to fast and accurate head motion compensation in cone-beam CT.
CoRR
Mareike Thies, Fabian Wagner, Noah Maul, Haijun Yu, Manuela Meier, Linda-Sophie Schneider, Mingxuan Gu, Siyuan Mei, Lukas Folle, Andreas K. Maier
2024 — conf
Abstract: Gradient-based Geometry Learning for Fan-beam CT Reconstruction.
Bildverarbeitung für die Medizin
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
2024 J jnl
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images.
CoRR
Mareike Thies, Noah Maul, Siyuan Mei, Laura Pfaff, Nastassia Vysotskaya, Mingxuan Gu, Jonas Utz, Dennis Possart, Lukas Folle, Fabian Wagner, Andreas Maier
2024 — conf
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation from Clean Images.
MICCAI (7)
Mareike Thies, Noah Maul, Siyuan Mei, Laura Pfaff, Nastassia Vysotskaya, Mingxuan Gu, Jonas Utz, Dennis Possart, Lukas Folle, Fabian Wagner, Andreas K. Maier
2024 — conf
Privacy-enhancing Image Sampling for the Synthesis of High-quality Anonymous Chest Radiographs.
Bildverarbeitung für die Medizin
Kai Packhäuser, Lukas Folle, Tri-Thien Nguyen, Florian Thamm, Andreas K. Maier
2023 — conf
Deepnapsi: Deep Learning for Nail Psoriasis Prediction.
ISBI
Lukas Folle, Pauline Fenzl, Filippo Fagni, Mareike Thies, Vincent Christlein, Christine Meder, Michael Sticherling, David Simon, Georg Schett, Andreas Maier, Arnd Kleyer
2023 — conf
Detection of Arterial Occlusion on Magnetic Resonance Angiography of the Thigh using Deep Learning.
Bildverarbeitung für die Medizin
Tri-Thien Nguyen, Lukas Folle, Thomas Bayer, Andreas K. Maier
2023 — conf
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems.
ISBI
Kai Packhäuser, Lukas Folle, Florian Thamm, Andreas Maier
2023 — conf
Whole-Body Multi-Organ Segmentation Using Anatomical Attention.
ISBI
Chang Liu, Felix Denzinger, Lukas Folle, Jingna Qiu, Laura Klein, Joscha Maier, Marc Kachelriess, Michael Lell, Andreas Maier
2022 J jnl
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems.
CoRR
Kai Packhäuser, Lukas Folle, Florian Thamm, Andreas K. Maier
2022 J jnl
Gradient-Based Geometry Learning for Fan-Beam CT Reconstruction.
CoRR
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
2022 J jnl
Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations.
CoRR
Mareike Thies, Fabian Wagner, Mingxuan Gu, Lukas Folle, Lina Felsner, Andreas K. Maier
2022 — conf
Multi-organ Segmentation with Partially Annotated Datasets.
Bildverarbeitung für die Medizin
Haobo Song, Chang Liu, Lukas Folle, Andreas K. Maier
2022 — conf
Towards Super-resolution CEST MRI for Visualization of Small Structures.
Bildverarbeitung für die Medizin
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
2021 J jnl
Towards Super-Resolution CEST MRI for Visualization of Small Structures.
CoRR
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
2019 — conf
Dilated Deeply Supervised Networks for Hippocampus Segmentation in MRI.
Bildverarbeitung für die Medizin
Lukas Folle, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
2019 J jnl
Dilated deeply supervised networks for hippocampus segmentation in MRI.
CoRR
Lukas Folle, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier