Digital Comprehensive Summaries of Uppsala Dissertations
from the Faculty of Science and Technology 2025
Main document
Image Processing, Machine Learning and Visualization for Tissue Analysis
See the version in Uppsala University’s DiVA portal
Accompanying papers
These are the papers where I am first author. They are published under an open access license with the exception of paper III.
TissUUmaps: interactive visualization of large-scale spatial gene expression and tissue morphology data
Towards Automatic Protein Co-Expression Quantification in Immunohistochemical TMA Slides
Whole Slide Image Registration for the Study of Tumor Heterogeneity
Machine learning for cell classification and neighborhood analysis in glioma tissue. (Under review)
At: BioRxiv preprint please note that this paper is being revised by us now and has improved greatly. We will make it available as soon as it is finished. you can find the revised version now.
Additional papers
These are publications where I also took part on as a supporting role.
Automated identification of the mouse brain’s spatial compartments from in situ sequencing data
At: BMC Biology
Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study
Deep learning in image cytometry: a review
At: Cytometry part A
Transcriptome-Supervised Classification of Tissue Morphology UsingDeep Learning
Decoding Gene Expression in 2D and 3D
You can see a full list of publications in my Google Scholar profile