Jacqueline Kockwelp

PhD Student
Portrait Jacqueline Kockwelp
© Jacqueline Kockwelp

University of Münster
Institute for Geoinformatics
Heisenbergstraße 2
D-48149 Münster

Room 117
j.kockwelp@uni-muenster.de

  • Research Areas

    • Machine / Deep Learning für Image Processing
    • Biomedizinische Bildgebung
    • Neuartige Annotationsmethoden für Daten
    • Education

      Ph.D. studies, Computer Vision & Machine Learning Systems group (Prof. Benjamin Risse)
      Master of Science (Computer Science), University of Münster
      Bachelor of Science (Computer Science), University of Münster
  • Publications

    • Beckmann, Daniel; Kockwelp, Jacqueline; Gromoll, Joerg; Kiefer, Friedemann;Risse, Benjamin. . ‘SAM meets Gaze: Passive Eye Tracking for Prompt-based Instance Segmentation.’ Proceedings of Machine Learning Research . [accepted / in Press (not yet published)]
    • Kockwelp, Jacqueline; Thiele, Sebastian; Bartsch, Jannis; Haalck, Lars; Gromoll, Jörg; Schlatt, Stefan; Exeler, Rita; Bleckmann, Annalen; Lenz, Georg; Wolf, Sebastian; Steffen, Björn; Berdel, Wolfgang Eduard; Schliemann, Christoph; Risse, Benjamin; Angenendt, Linus. . ‘Deep Learning Predicts Therapy-Relevant Genetics in Acute Myeloid Leukemia from Pappenheim-stained Bone Marrow Smears.’ Blood Advances 8, No. 1: 70–79. doi: 10.1182/bloodadvances.2023011076.

    • Kockwelp, Jacqueline; Gromoll, Jörg; Wistuba, Joachim; Risse, Benjamin. . ‘EyeGuide - From Gaze Data to Instance Segmentation.’ Contributed to the The British Machine Vision Conference (BMVC), Aberdeen.

    • Kockwelp, Jacqueline; Thiele, Sebastian; Kockwelp, Pascal; Bartsch, Jannis; Schliemann, Christoph; Angenendt, Linus; Risse, Benjamin. . ‘Cell Selection-based Data Reduction Pipeline for Whole Slide Image Analysis of Acute Myeloid Leukemia.’ In The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), edited by IEEE/CVF, 1825–1834. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition: Wiley-IEEE Press.
  • Honors