Lina Felsner

31 papers Journal 17Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Master Class on Reproducibility: A Student Hackathon on Advanced MRI Reconstruction Methods.
CoRR
Lina Felsner, Sevgi Gokce Kafali, Hannah Eichhorn, Agnes A. J. Leth, Aidas Batvinskas, André Datchev, Fabian Klemm, Jan Aulich, Puntika Leepagorn, Ruben Klinger, Daniel Rueckert, Julia A. Schnabel
2026 — conf
Abstract: Progressive Growing of Patch Size - Curriculum Learning for Accelerated, Improved Medical Image Segmentation.
Bildverarbeitung für die Medizin
Stefan M. Fischer, Lina Felsner, Richard Osuala, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel
2026 — conf
Master Class on Reproducibility - A Student Hackathon on Advanced MRI Reconstruction Methods.
Bildverarbeitung für die Medizin
Lina Felsner, Sevgi Gokce Kafali, Hannah Eichhorn, Agnes A. J. Leth, Aidas Batvinskas, André Datchev, Fabian Klemm, Jan Aulich, Puntika Leepagorn, Ruben Klinger, Daniel Rueckert, Julia A. Schnabel
2026 — ed.
Reconstruction and Imaging Motion Estimation, and Graphs in Biomedical Image Analysis - First International Workshop, RIME 2025, and 7th International Workshop, GRAIL 2025, Daejeon, South Korea, September 27, 2025, Proceedings
GRAIL/RIME@MICCAI
Lina Felsner, Thomas Küstner, Andreas Maier, Chen Qin, Seyed-Ahmad Ahmadi, Anees Kazi, Xiaoling Hu
2026 J jnl
The Mean is the Mirage: Entropy-Adaptive Model Merging under Heterogeneous Domain Shifts in Medical Imaging.
CoRR
Sameer Ambekar, Reza Nasirigerdeh, Peter J. Schuffler, Lina Felsner, Daniel Lang, Julia A. Schnabel
2026 J jnl
Uncertainty-guided Generation of Dark-field Radiographs.
CoRR
Lina Felsner, Henriette Bast, Tina Dorosti, Florian Schaff, Franz Pfeiffer, Daniela Pfeiffer, Julia A. Schnabel
2025 J jnl
Motion-Robust T2* Quantification from Gradient Echo MRI with Physics-Informed Deep Learning.
CoRR
Hannah Eichhorn, Veronika Spieker, Kerstin Hammernik, Elisa Saks, Lina Felsner, Kilian Weiss, Christine Preibisch, Julia A. Schnabel
2025 J jnl
Progressive Growing of Patch Size: Curriculum Learning for Accelerated and Improved Medical Image Segmentation.
CoRR
Stefan M. Fischer, Johannes Kiechle, Laura Daza, Lina Felsner, Richard Osuala, Daniel M. Lang, Karim Lekadir, Jan C. Peeken, Julia A. Schnabel
2025 J jnl
TomoGraphView: 3D Medical Image Classification with Omnidirectional Slice Representations and Graph Neural Networks.
CoRR
Johannes Kiechle, Stefan M. Fischer, Daniel M. Lang, Cosmin I. Bercea, Matthew Nyflot, Lina Felsner, Julia A. Schnabel, Jan C. Peeken
2024 — conf
Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration.
MICCAI (2)
Anna Reithmeir, Lina Felsner, Rickmer Braren, Julia A. Schnabel, Veronika A. Zimmer
2024 J jnl
Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration.
CoRR
Anna Reithmeir, Lina Felsner, Rickmer Braren, Julia A. Schnabel, Veronika A. Zimmer
2024 — conf
Graph Neural Networks: A Suitable Alternative to MLPs in Latent 3D Medical Image Classification?
GRAIL@MICCAI
Johannes Kiechle, Daniel Lang, Stefan M. Fischer, Lina Felsner, Jan C. Peeken, Julia A. Schnabel
2024 J jnl
Graph Neural Networks: A suitable Alternative to MLPs in Latent 3D Medical Image Classification?
CoRR
Johannes Kiechle, Daniel M. Lang, Stefan M. Fischer, Lina Felsner, Jan C. Peeken, Julia A. Schnabel
2024 — conf
Language Models Meet Anomaly Detection for Better Interpretability and Generalizability.
LDTM/MMMI/ML4MHD/ML-CDS@MICCAI
Jun Li, Su Hwan Kim, Philip Müller, Lina Felsner, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
2024 J jnl
Multi-Image Visual Question Answering for Unsupervised Anomaly Detection.
CoRR
Jun Li, Cosmin I. Bercea, Philip Müller, Lina Felsner, Su Hwan Kim, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel
2024 — conf
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks.
MICCAI (9)
Stefan M. Fischer, Lina Felsner, Richard Osuala, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel
2024 J jnl
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks.
CoRR
Stefan M. Fischer, Lina Felsner, Richard Osuala, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel
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
2021 — conf
2D Respiration Navigation Framework for 3D Continuous Cardiac Magnetic Resonance Imaging.
Bildverarbeitung für die Medizin
Elisabeth Hoppe, Jens Wetzl, Philipp Roser, Lina Felsner, Alexander Preuhs, Andreas Maier
2021 J jnl
Comparison of methods for sensitivity correction in Talbot-Lau computed tomography.
Int. J. Comput. Assist. Radiol. Surg.
Lina Felsner, Philipp Roser, Andreas Maier, Christian Riess
2021 — conf
Learning the Inverse Weighted Radon Transform.
Bildverarbeitung für die Medizin
Philipp Roser, Lina Felsner, Andreas Maier, Christian Riess
2021 J jnl
X-Ray Scatter Estimation Using Deep Splines.
IEEE Trans. Medical Imaging
Philipp Roser, Annette Birkhold, Alexander Preuhs, Christopher Syben, Lina Felsner, Elisabeth Hoppe, Norbert Strobel, Markus Kowarschik, Rebecca Fahrig, Andreas Maier
2020 J jnl
2-D Respiration Navigation Framework for 3-D Continuous Cardiac Magnetic Resonance Imaging.
CoRR
Elisabeth Hoppe, Jens Wetzl, Philipp Roser, Lina Felsner, Alexander Preuhs, Andreas K. Maier
2020 J jnl
Reconstruction of Voxels with Position- and Angle-Dependent Weightings.
CoRR
Lina Felsner, Tobias Würfl, Christopher Syben, Philipp Roser, Alexander Preuhs, Andreas Maier, Christian Riess
2020 J jnl
Truncation Correction for X-ray Phase-Contrast Region-of-Interest Tomography.
IEEE Trans. Computational Imaging
Lina Felsner, Sebastian Kaeppler, Andreas K. Maier, Christian Riess
2019 — conf
Abstract: Phase-Sensitive Region-of-Interest Computed Tomography.
Bildverarbeitung für die Medizin
Lina Felsner, Martin Berger, Sebastian Kaeppler, Johannes Bopp, Veronika Ludwig, Thomas Weber, Georg Pelzer, Thilo Michel, Andreas K. Maier, Gisela Anton, Christian Riess
2019 — conf
On the Characteristics of Helical 3D X-Ray Dark-Field Imaging.
Bildverarbeitung für die Medizin
Lina Felsner, Shiyang Hu, Veronika Ludwig, Gisela Anton, Andreas K. Maier, Christian Riess
2018 J jnl
A 3-D Projection Model for X-ray Dark-field Imaging.
CoRR
Shiyang Hu, Lina Felsner, Andreas K. Maier, Veronika Ludwig, Gisela Anton, Christian Riess
2018 — conf
Phase-Sensitive Region-of-Interest Computed Tomography.
MICCAI (1)
Lina Felsner, Martin Berger, Sebastian Kaeppler, Johannes Bopp, Veronika Ludwig, Thomas Weber, Georg Pelzer, Thilo Michel, Andreas K. Maier, Gisela Anton, Christian Riess
2018 — ch.
X-ray Phase Contrast: Research on a Future Imaging Modality.
Medical Imaging Systems
Johannes Bopp, Lina Felsner, Shiyang Hu, Sebastian Kaeppler, Christian Riess
2017 — conf
Epipolar Consistency Conditions for Motion Correction in Weight-Bearing Imaging.
Bildverarbeitung für die Medizin
Bastian Bier, André Aichert, Lina Felsner, Mathias Unberath, Marc E. Levenston, Garry Gold, Rebecca Fahrig, Andreas K. Maier