Dilated Deeply Supervised Networks for Hippocampus Segmentation in MRI. - Lukas Folle; Sulaiman Vesal; Nishant Ravikumar; Andreas K. Maier (Bildverarbeitung für die Medizin, 2019)

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 (Bildverarbeitung für die Medizin, 2022)

Multi-organ Segmentation with Partially Annotated Datasets. - Haobo Song; Chang Liu; Lukas Folle; Andreas K. Maier (Bildverarbeitung für die Medizin, 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)

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 001; et al. (CoRR, 2022)

Detection of Arterial Occlusion on Magnetic Resonance Angiography of the Thigh using Deep Learning. - Tri-Thien Nguyen; Lukas Folle; Thomas Bayer; Andreas K. Maier (Bildverarbeitung für die Medizin, 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 001; Arnd Kleyer (ISBI, 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 001 (ISBI, 2023)

Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems. - Kai Packhäuser; Lukas Folle; Florian Thamm; Andreas Maier 001 (ISBI, 2023)

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 (Bildverarbeitung für die Medizin, 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 001; et al. (Bildverarbeitung für die Medizin, 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 (MICCAI (7), 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)

A Gradient-Based Approach to Fast and Accurate Head Motion Compensation in Cone-Beam CT. - Mareike Thies; Fabian Wagner; Noah Maul; Haijun Yu; Manuela Goldmann; Linda-Sophie Schneider; Mingxuan Gu; Siyuan Mei; Lukas Folle; Alexander Preuhs; Michael Manhart 001; Andreas K. Maier (IEEE Trans. Medical Imaging, 2025)