• Skip navigation
  • Skip to navigation
  • Skip to the bottom
Simulate organization breadcrumb open Simulate organization breadcrumb close
Friedrich-Alexander-Universität Pattern Recognition Lab PRL
  • FAUTo the central FAU website
Suche öffnen
  • Campo
  • StudOn
  • FAUdir
  • Jobs
  • Map
  • Help
Friedrich-Alexander-Universität Pattern Recognition Lab PRL
Navigation Navigation close
  • Lab
    • News
    • Cooperations
    • Join the Pattern Recognition Lab
    • Ph.D. Gallery
    • Contact
    • Directions
  • Team
    • Our Team
    • Former PRL members
  • Research
    • Research Groups
    • Research Projects
    • Publications
    • Competitions
    • Datasets
    • Research Demo Videos
    • Pattern Recognition Blog
    • Beyond the Patterns
  • Teaching
    • Curriculum / Courses
    • Lecture Notes
    • Lecture Videos
    • LME Videos
    • Thesis / Projects
  1. Home
  2. Research
  3. Research Groups
  4. Advancing osteoporosis medicine by observing bone microstructure and remodelling using a fourdimensional nanoscope

Advancing osteoporosis medicine by observing bone microstructure and remodelling using a fourdimensional nanoscope

In page navigation: Research
  • Beyond the Patterns
  • Competitions
  • Publications
  • Datasets
  • An AI-based framework for visualizing and analyzing massive amounts of 4D tomography data for beamline end users
  • An AI-based framework for visualizing and analyzing massive amounts of 4D tomography data for beamline end users
  • An AI-based framework for visualizing and analyzing massive amounts of 4D tomography data for beamline end users

Advancing osteoporosis medicine by observing bone microstructure and remodelling using a fourdimensional nanoscope

Advancing osteoporosis medicine by observing bone microstructure and remodelling using a fourdimensional nanoscope

(Third Party Funds Group – Sub project)

Overall project: Advancing osteoporosis medicine by observing bone microstructure and remodelling using a fourdimensional nanoscope
Project leader: Andreas Maier
Project members:
Start date: April 1, 2019
End date: March 31, 2025
Acronym: 4-D nanoSCOPE
Funding source: EU - 8. Rahmenprogramm - Horizon 2020
URL:

Abstract

Publications

  • Mill L., Kling L., Grüneboom A., Schett G., Christiansen S., Maier A.:
    Towards In-Vivo X-Ray Nanoscopy: Acquisition Parameters vs. Image Quality
    Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 - March 19, 2019)
    In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
    DOI: 10.1007/978-3-658-25326-4_56
    BibTeX: Download
  • Mill L., Bier B., Syben-Leisner C., Kling L., Grüneboom A., Christiansen S., Schett G., Maier A.:
    Towards in-vivo X-ray nanoscopy: The effect of motion on image quality
    Workshop on Bildverarbeitung fur die Medizin, 2018 (Erlangen, March 11, 2018 - March 13, 2018)
    In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2018
    DOI: 10.1007/978-3-662-56537-7_40
    URL: https://link.springer.com/chapter/10.1007/978-3-662-56537-7_40
    BibTeX: Download
  • Fu W., Breininger K., Schaffert R., Ravikumar N., Maier A.:
    A Divide-and-Conquer Approach towards Understanding Deep Networks
    MICCAI 2019 (Shenzhen, China, October 13, 2019 - October 17, 2019)
    In: Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali Khan (ed.): Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), Shenzhen: 2019
    DOI: 10.1007/978-3-030-32239-7_21
    URL: https://link.springer.com/chapter/10.1007/978-3-030-32239-7_21
    BibTeX: Download
  • Thies M., Wagner F., Huang Y., Gu M., Kling L., Pechmann S., Aust O., Grüneboom A., Schett G., Christiansen SH., Maier A.:
    Calibration by differentiation – Self-supervised calibration for X-ray microscopy using a differentiable cone-beam reconstruction operator
    In: Journal of Microscopy (2022)
    ISSN: 0022-2720
    DOI: 10.1111/jmi.13125
    BibTeX: Download
  • Thies M., Wagner F., Gu M., Folle L., Felsner L., Maier A.:
    Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations
    7th International Conference on Image Formation in X-Ray Computed Tomography (Baltimore, June 12, 2022 - June 16, 2022)
    In: Proceedings Volume 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography; 1230409 (2022) 2022
    DOI: 10.1117/12.2646442
    BibTeX: Download

Friedrich-Alexander-Universität Erlangen-Nürnberg
Lehrstuhl für Mustererkennung (Informatik 5)

Martensstr. 3
91058 Erlangen
  • Contact
  • Login
  • Intranet
  • Imprint
  • Privacy
  • Accessibility
  • RSS Feed
  • Instagram
  • TikTok
  • Mastodon
  • BlueSky
  • YouTube
  • Facebook
  • Xing
  • LinkedIn
  • Community
  • Threads
Up