Laura Pfaff

2023

Journal Articles

• Thies M., Wagner F., Maul N., Folle L., Meier M., Rohleder M., Schneider LS., Pfaff L., Gu M., Utz J., Denzinger F., Manhart M., Maier A.:
  Gradient-based geometry learning for fan-beam CT reconstruction
  In: Physics in Medicine and Biology 68 (2023), Article No.: 205004
  ISSN: 0031-9155
  DOI: 10.1088/1361-6560/acf90e
  URL: https://iopscience.iop.org/article/10.1088/1361-6560/acf90e
  BibTeX: Download

Conference Contributions

• Wagner F., Thies M., Maul N., Pfaff L., Aust O., Pechmann S., Syben C., Maier A.:
  Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography
  17th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D) (Stony Brook University, NY, USA, July 16, 2023 - July 21, 2023)
  DOI: 10.48550/arXiv.2302.06436
  URL: https://arxiv.org/pdf/2302.06436.pdf
  BibTeX: Download
• Wagner F., Thies M., Pfaff L., Maul N., Pechmann S., Gu M., Utz J., Aust O., Weidner D., Neag G., Uderhardt S., Choi JH., Maier A.:
  Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising
  28th International Conference on Information Processing in Medical Imaging, IPMI 2023 (San Carlos de Bariloche, ARG, June 18, 2023 - June 23, 2023)
  In: Alejandro Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navab (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023
  DOI: 10.1007/978-3-031-34048-2_59
  BibTeX: Download
• Thies M., Wagner F., Maul N., Pfaff L., Schneider LS., Syben C., Maier A.:
  Optimizing CT Scan Geometries With and Without Gradients
  17th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D) (Stony Brook University, New York, July 16, 2023 - July 21, 2023)
  Open Access: https://arxiv.org/abs/2302.06251
  BibTeX: Download
• Pfaff L., Wagner F., Hoßbach J., Preuhs E., Nickel MD., Wuerfl T., Maier A.:
  Quantitative evaluation of denoising algorithms without noise-free ground-truth data
  ISMRM
  BibTeX: Download
• Pfaff L., Wagner F., Hoßbach J., Preuhs E., Maul N., Thies M., Denzinger F., Nickel MD., Wuerfl T., Maier A.:
  Robust multi-contrast MRI denoising using trainable bilateral filters without noise-free targets
  International Symposium on Biomedical Imaging (ISBI)
  BibTeX: Download
• Maul N., Zinn K., Wagner F., Thies M., Rohleder M., Pfaff L., Kowarschik M., Birkhold A., Maier A.:
  Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model
  28th International Conference on Information Processing in Medical Imaging, IPMI 2023 (San Carlos de Bariloche, June 18, 2023 - June 23, 2023)
  In: Alejandro Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navab (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023
  DOI: 10.1007/978-3-031-34048-2_15
  BibTeX: Download
• Pfaff L., Wagner F., Hoßbach J., Preuhs E., Gadjimuradov F., Benkert T., Nickel MD., Wuerfl T., Maier A.:
  Unsupervised denoising of prostate DWI
  ISMRM
  BibTeX: Download

2022

Journal Articles

• Wagner F., Thies M., Denzinger F., Gu M., Patwari M., Ploner S., Maul N., Pfaff L., Huang Y., Maier A.:
  Trainable joint bilateral filters for enhanced prediction stability in low-dose CT
  In: Scientific Reports 12 (2022), Article No.: 17540
  ISSN: 2045-2322
  DOI: 10.1038/s41598-022-22530-4
  BibTeX: Download

Conference Contributions

• Pfaff L., Hoßbach J., Preuhs E., Arroyo Camejo S., Nickel MD., Maier A., Wuerfl T.:
  Training a tunable, spatially-adaptive denoiser without clean targets
  ISMRM
  BibTeX: Download