Publicly available datasets of breast histopathology H&E whole-slide images: A systematic review. - Masoud Tafavvoghi; Lars Ailo Bongo; Nikita Shvetsov; Lill-Tove Rasmussen Busund; Kajsa Møllersen (CoRR, 2023)

Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images. - Masoud Tafavvoghi; Anders Sildnes; Mehrdad Rakaee; Nikita Shvetsov; Lars Ailo Bongo; Lill-Tove Rasmussen Busund; Kajsa Møllersen (CoRR, 2024)

Fully Automatic Deep Learning Pipeline for Whole Slide Image Quality Assessment. - Falah Jabar; Lill-Tove Rasmussen Busund; Biagio Ricciuti; Masoud Tafavvoghi; Mette Pøhl; Sigve Andersen; Tom Donnem; David J. Kwiatkowski; Mehrdad Rakaee (CoRR, 2024)

A Lightweight and Extensible Cell Segmentation and Classification Model for Whole Slide Images. - Nikita Shvetsov; Thomas K. Kilvaer; Masoud Tafavvoghi; Anders Sildnes; Kajsa Møllersen; Lill-Tove Rasmussen Busund; Lars Ailo Bongo (CoRR, 2025)

Open-source framework for detecting bias and overfitting for large pathology images. - Anders Sildnes; Nikita Shvetsov; Masoud Tafavvoghi; Vi Ngoc-Nha Tran; Kajsa Møllersen; Lill-Tove Rasmussen Busund; Thomas K. Kilvaer; Lars Ailo Bongo (CoRR, 2025)

Automating tumor-infiltrating lymphocyte assessment in breast cancer histopathology images using QuPath: a transparent and accessible machine learning pipeline. - Masoud Tafavvoghi; Lars Ailo Bongo; André Berli Delgado; Nikita Shvetsov; Anders Sildnes; Line Moi; Lill-Tove Rasmussen Busund; Kajsa Møllersen (CoRR, 2025)