Dr. Philipp Lösel

Phone: +49 6221 54 14537
Room: 1/411
philipp.loesel <_at_> uni-heidelberg.de

Postdoc

Office address/Post address

Engineering Mathematics and Computing Lab (EMCL)
Interdisciplinary Center for Scientific Computing (IWR)
Im Neuenheimer Feld 205
69120 Heidelberg (Germany)


Short Biography

Research Interests

  • Biomedical Image Analysis & Segmentation
  • Artificial Intelligence & Deep Learning
  • High Performance Computing
  • Hardware-Aware Computing
  • Uncertainty Quantification
  • Computational Geometry

Projects

Previous Projects

Teaching

Publications

Invited Talks

  • Large-scale analysis of the honey bee brain using micro-CT imaging and the online segmentation platform Biomedisa
    BMIT user workshop on X-ray micro-CT data processing, Canadian Light Source (CLS), Saskatoon, Canada, online, October 6, 2022, on invitation by Dr. Sergey Gasilov.
  • Large-scale analysis of the honey bee brain using micro-CT imaging and deep learning
    Stockholm University Brain Imaging Centre (SUBIC), Stockholm, Sweden, online, October 7, 2021, on invitation by Dr. Tunhe Zhou.
  • Fast synchrotron X-ray imaging and semi-automated analysis of extant and fossil insects
    BASF, Ludwigshafen, Germany, April 19, 2018, on invitation by Dr. Paul Birnbrich.
  • The NOVA project: maximizing beam time efficiency through synergistic analyses of SRμCT data
    Helmholtz-Zentrum Geesthacht GEMS Outstation: Materials Research and High Resolution Imaging, DESY Photon Science Users' Meeting, Hamburg, Germany, January 25, 2018, on invitation by Dr. Christina Krywka.
  • Biomedisa: The Biomedical Image Segmentation App
    Scientific Seminar Series, Imaging Group, IPS, KIT, Karlsruhe, Germany, May 9, 2017, on invitation by Dr. Thomas van de Kamp.
  • Biomedisa: The Biomedical Image Segmentation App
    9. Graduiertenforum der DZG Fachgruppe Morphologie, Karlsruhe, Germany, October 14, 2016, on invitation by Dr. Thomas van de Kamp.

Conference contributions and talks

  • Large-scale analysis of the bee brain using micro-CT imaging and deep learning
    Young Researchers @ HITS, Heidelberg Institute for Theoretical Studies, September 21, 2022.
  • Large-scale analysis of the honey bee brain using micro-CT imaging and deep learning
    HeKKSaGOn University Consortium, the 8th German – Japanese University Presidents’ Conference, Tohoku University, Japan, online, September 10, 2021.
  • Biomedisa: 30 million-year-old fossils come back to life
    HeKKSaGOn University Consortium, the 7th German – Japanese University Presidents’ Conference, Heidelberg, Germany, September 12-13, 2019.
  • Biomedisa: fast and accurate segmentation of fossil insects from synchrotron X-ray microtomography images
    13th World Congress in Computational Mechanics, New York City, USA, July 22-27, 2018.
  • Biomedisa: 30 million-year-old fossils come back to life
    HITS Lab Meeting, Heidelberg, Germany, January 8, 2018.
  • Biomedisa: The Biomedical Image Segmentation App
    110. Jahrestagung der Deutschen Zoologischen Gesellschaft, Bielefeld, Germany, September 13, 2017.
  • Biomedisa: The Biomedical Image Segmentation App
    3rd International Conference on Tomography of Materials and Structures, Lund, Sweden, June 29, 2017.
  • Biomedisa: The Biomedical Image Segmentation App
    HITS Scientific Seminar Series, Heidelberg, Germany, February 13, 2017.
  • Biomedisa: The Biomedical Image Segmentation App
    12. Modellierungstag Rhein-Neckar, HGS MathComp, Heidelberg, Germany, December 8, 2016.
  • A GPU based diffusion method for whole-heart and great vessel segmentation
    19th International Conference on Medical Image Computing and Computer Assisted Intervention, Athens, Greece, October 17, 2016.
  • The NOVA Project and the Biomedical Image Segmentation App
    DZG Workshop on Engineering tools in morphology, Kiel, Germany, September 13, 2016.
  • Enhancing a diffusion algorithm for 4D image segmentation using local information
    SPIE Medical Imaging, San Diego, USA, Februray 27, 2016.

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