Julia Andresen

Research output

Research Output per year 2021 2021 2022 2022

• 2 Conference contribution
• 2 Conference Papers
• 2 Journal articles

Research Output per year

Research Output per year

Search results

• 2022

  Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies

  Andresen, J., Kepp, T., Ehrhardt, J., von der Burchard, C., Roider, J. & Handels, H., 04.2022, In: International Journal of Computer Assisted Radiology and Surgery. 17, 4, p. 699-710 12 p., 4.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Medical Image 100%
  • Deep Learning Method 100%
  • Network Registration 100%
  • Writing 100%
  • Convolutional Neural Network 66%

• Image registration and appearance adaptation in non-correspondent image regions for new MS lesions detection

  Andresen, J., Uzunova, H., Ehrhardt, J., Kepp, T. & Handels, H., 07.09.2022, In: Frontiers in Neuroscience. 16, 981523.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Image Registration 100%
  • Convolutional Neural Network 100%
  • Multiple Sclerosis 100%
  • Neural Network 33%

• Unsupervised Non-correspondence Detection in Medical Images Using an Image Registration Convolutional Neural Network.

  Andresen, J., Kepp, T., Ehrhardt, J., Burchard, C. V. D., Roider, J. & Handels, H., 2022, Lecture Notes in Computer Science. Springer, p. 3-7

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Convolutional Neural Network 100%
  • Writing 100%

• Unsupervised Segmentation of Wounds in Optical Coherence Tomography Images Using Invariant Information Clustering

  Andresen, J., Kepp, T., Wang-Evers, M., Ehrhardt, J., Manstein, D. & Handels, H., 05.04.2022, Bildverarbeitung für die Medizin 2022: Proceedings of the German Workshop on Medical Image Computing. p. 1-6 6 p. (Informatik Aktuell).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Annotation 100%
  • Convolutional Neural Network 100%
  • Field Research 50%
  • Unsupervised Clustering 50%
  • Clustering Method 50%
• 2021

  CNN-based joint non-correspondence detection and registration of retinal optical coherence tomography images

  Andresen, J., Kepp, T., Ehrhardt, J., von der Burchard, C., Roider, J. & Handels, H., 2021, p. 20-21.

  Research output: Contribution to conference › Conference Papers › peer-review

• New Multiple Sclerosis Lesion Detection with Convolutional Neural Registration Networks

  Andresen, J., Uzunova, H., Ehrhardt, J. & Handels, H., 2021, p. 111-114.

  Research output: Contribution to conference › Conference Papers › peer-review