Olle Edgren Schüllerqvist
PhD student at Department of Information Technology; Vi3; Image Analysis
- E-mail:
- olle.edgren.schullerqvist@it.uu.se
- Visiting address:
- Hus 10, Regementsvägen 10
- Postal address:
- Box 524
751 20 UPPSALA
Short presentation
I'm a PhD student in computerized image processing with a background in engineering physics and artificial intelligence. My research is in deep learning-based image analysis for computational pathology, currently focused on characterization of the tumour microenvironment and patient outcome prediction. I'm part of the MIDA research group.
GitHub: https://github.com/Olleesch
Master's Thesis: Human-in-the-Loop Deep Learning for Oral Cancer Screening: An Active Learning Approach

Publications
Selection of publications
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Part of Pattern Recognition, p. 81-91, 2026
- DOI for From Cells to Survival: Hierarchical Analysis of Cell Inter-Relations in Multiplex Microscopy for Lung Cancer Prognosis
- Download full text (pdf) of From Cells to Survival: Hierarchical Analysis of Cell Inter-Relations in Multiplex Microscopy for Lung Cancer Prognosis
Recent publications
-
Part of Pattern Recognition, ICPR 2026, p. 81-91, 2027
-
Part of Pattern Recognition, p. 81-91, 2026
- DOI for From Cells to Survival: Hierarchical Analysis of Cell Inter-Relations in Multiplex Microscopy for Lung Cancer Prognosis
- Download full text (pdf) of From Cells to Survival: Hierarchical Analysis of Cell Inter-Relations in Multiplex Microscopy for Lung Cancer Prognosis
All publications
Conference papers
-
Part of Pattern Recognition, ICPR 2026, p. 81-91, 2027
-
Part of Pattern Recognition, p. 81-91, 2026
- DOI for From Cells to Survival: Hierarchical Analysis of Cell Inter-Relations in Multiplex Microscopy for Lung Cancer Prognosis
- Download full text (pdf) of From Cells to Survival: Hierarchical Analysis of Cell Inter-Relations in Multiplex Microscopy for Lung Cancer Prognosis