Area of research
Molecular Biology · Biophysics
Research interest
Research interests include Single-cell and spatial transcriptomics, Cell Image Analysis Techniques, AI in cancer detection, and Gene expression and cancer classification.
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue
Ensemble-based deep learning improves detection of invasive breast cancer in routine histopathology images
TissUUmaps 3: Improvements in interactive visualization, exploration, and quality assessment of large-scale spatial omics data
Improved breast cancer histological grading using deep learning
Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study