Nele Blum, M.Sc.

Institut für Medizintechnik

Universität zu Lübeck
Ratzeburger Allee 160
23562 Lübeck
Gebäude 64, Raum 063

Phone:+49 451 3101 5417
Fax:+49 451 3101 5404


Research Assistant


Research Interests

  • Computed Tomography
  • Medical Image Processing

Curriculum Vitae

NELE BLUM was born in Burgwedel, Germany in 1995. She received her Master of Science in Medical Engineering Science in 2018 from the Universität zu Lübeck, Germany. During her study she was mainly interested in medical imaging and medical image processing. In 2018 she wrote her master thesis at the Stryker GmbH in Kiel, Germany about the development of a reproducible method to virtually realign 3D-fracture fragments of different bone and fracture types. Since 04/2019 she is a Research Assistant at the Institute of Medical Engineering where she works in the field of computer tomographic reconstruction.


[ 2022 ] [ 2021 ] [ 2020 ]

2022 [ to top ]

  • Blum, N., Buzug, T. M. and Stille, M.: Data-driven Metal Artifact Correction in Computed Tomography using conditional Generative Adversarial Networks, In: The 7th International Conference on Image Formation in X-Ray Computed Tomography, 214-217, 2022.

2021 [ to top ]

  • Blum, N., Buzug, T. and Stille, M.: Projection Domain Metal Artifact Reduction in Computed Tomography using Conditional Generative Adversarial Networks,, In: Medical Imaging with Deep Learning (MIDL), 2021.
  • Hellwege, L., Blum, N., Buzug, T. M. and Stille, M.: Partial Convolution Network for Metal Artifact Reduction in CT Preprocessing: Preliminary Results, In: Medical Imaging and Deep Learning, 2021.

2020 [ to top ]

  • Blum, N., Stille, M. and Buzug, T.: Implant dependent local weighting for iterative CT-image reconstruction, In: BMT 2020 (Biomedical Engineering / Biomedizinische Technik), 246, 2020.
  • Blum, N., Stille, M., Hofmann, C. and Buzug, T. M.: Metal Artifact Reduction for 3D Cone-Beam CT by Non-Local Prior Image Integration, In: CT Meeting 2020 (The 6th International Conference on Image Formation in X-Ray Computed Tomography), 396– 400, 2020.