Epipolar Consistency Conditions for Motion Correction in Weight-Bearing Imaging. - Bastian Bier; André Aichert; Lina Felsner; Mathias Unberath; Marc E. Levenston; Garry Gold; Rebecca Fahrig; Andreas K. Maier (Bildverarbeitung für die Medizin, 2017)

Phase-Sensitive Region-of-Interest Computed Tomography. - Lina Felsner; Martin Berger 002; Sebastian Kaeppler; Johannes Bopp; Veronika Ludwig; Thomas Weber 001; Georg Pelzer; Thilo Michel; Andreas K. Maier; Gisela Anton; Christian Riess (MICCAI (1), 2018)

A 3-D Projection Model for X-ray Dark-field Imaging. - Shiyang Hu; Lina Felsner; Andreas K. Maier; Veronika Ludwig; Gisela Anton; Christian Riess (CoRR, 2018)

X-ray Phase Contrast: Research on a Future Imaging Modality. - Johannes Bopp; Lina Felsner; Shiyang Hu; Sebastian Kaeppler; Christian Riess (Medical Imaging Systems, 2018)

Abstract: Phase-Sensitive Region-of-Interest Computed Tomography. - Lina Felsner; Martin Berger 002; Sebastian Kaeppler; Johannes Bopp; Veronika Ludwig; Thomas Weber 001; Georg Pelzer; Thilo Michel; Andreas K. Maier; Gisela Anton; Christian Riess (Bildverarbeitung für die Medizin, 2019)

On the Characteristics of Helical 3D X-Ray Dark-Field Imaging. - Lina Felsner; Shiyang Hu; Veronika Ludwig; Gisela Anton; Andreas K. Maier; Christian Riess (Bildverarbeitung für die Medizin, 2019)

Reconstruction of Voxels with Position- and Angle-Dependent Weightings. - Lina Felsner; Tobias Würfl; Christopher Syben; Philipp Roser; Alexander Preuhs; Andreas Maier 001; Christian Riess (CoRR, 2020)

2-D Respiration Navigation Framework for 3-D Continuous Cardiac Magnetic Resonance Imaging. - Elisabeth Hoppe; Jens Wetzl; Philipp Roser; Lina Felsner; Alexander Preuhs; Andreas K. Maier (CoRR, 2020)

Truncation Correction for X-ray Phase-Contrast Region-of-Interest Tomography. - Lina Felsner; Sebastian Kaeppler; Andreas K. Maier; Christian Riess (IEEE Trans. Computational Imaging, 2020)

2D Respiration Navigation Framework for 3D Continuous Cardiac Magnetic Resonance Imaging. - Elisabeth Hoppe; Jens Wetzl; Philipp Roser; Lina Felsner; Alexander Preuhs; Andreas Maier 001 (Bildverarbeitung für die Medizin, 2021)

Learning the Inverse Weighted Radon Transform. - Philipp Roser; Lina Felsner; Andreas Maier 001; Christian Riess (Bildverarbeitung für die Medizin, 2021)

Comparison of methods for sensitivity correction in Talbot-Lau computed tomography. - Lina Felsner; Philipp Roser; Andreas Maier 001; Christian Riess (Int. J. Comput. Assist. Radiol. Surg., 2021)

X-Ray Scatter Estimation Using Deep Splines. - Philipp Roser; Annette Birkhold; Alexander Preuhs; Christopher Syben; Lina Felsner; Elisabeth Hoppe; Norbert Strobel; Markus Kowarschik; Rebecca Fahrig; Andreas Maier 001 (IEEE Trans. Medical Imaging, 2021)

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)

Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks. - Stefan M. Fischer; Lina Felsner; Richard Osuala; Johannes Kiechle; Daniel M. Lang 003; Jan C. Peeken; Julia A. Schnabel (MICCAI (9), 2024)

Graph Neural Networks: A Suitable Alternative to MLPs in Latent 3D Medical Image Classification? - Johannes Kiechle; Daniel Lang 003; Stefan M. Fischer; Lina Felsner; Jan C. Peeken; Julia A. Schnabel (GRAIL@MICCAI, 2024)

Language Models Meet Anomaly Detection for Better Interpretability and Generalizability. - Jun Li; Su Hwan Kim 007; Philip Müller; Lina Felsner; Daniel Rueckert; Benedikt Wiestler; Julia A. Schnabel; Cosmin I. Bercea (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration. - Anna Reithmeir; Lina Felsner; Rickmer Braren; Julia A. Schnabel; Veronika A. Zimmer (MICCAI (2), 2024)

Multi-Image Visual Question Answering for Unsupervised Anomaly Detection. - Jun Li; Cosmin I. Bercea; Philip Müller; Lina Felsner; Su Hwan Kim 007; Daniel Rueckert; Benedikt Wiestler; Julia A. Schnabel (CoRR, 2024)

Motion-Robust T2* Quantification from Gradient Echo MRI with Physics-Informed Deep Learning. - Hannah Eichhorn; Veronika Spieker; Kerstin Hammernik; Elisa Saks; Lina Felsner; Kilian Weiss; Christine Preibisch; Julia A. Schnabel (CoRR, 2025)

Progressive Growing of Patch Size: Curriculum Learning for Accelerated and Improved Medical Image Segmentation. - Stefan M. Fischer; Johannes Kiechle; Laura Daza; Lina Felsner; Richard Osuala; Daniel M. Lang 003; Karim Lekadir; Jan C. Peeken; Julia A. Schnabel (CoRR, 2025)