Occode: an end-to-end machine learning pipeline for transcription of historical population censuses. - Bjørn-Richard Pedersen; Einar J. Holsbø; Trygve Andersen; Nikita Shvetsov; Johan Ravn; Hilde Leikny Sommerseth; Lars Ailo Bongo (CoRR, 2021)

A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images. - Nikita Shvetsov; Morten Grønnesby; Edvard Pedersen; Kajsa Møllersen; Lill-Tove Rasmussen Busund; Ruth Schwienbacher; Lars Ailo Bongo; Thomas K. Kilvaer (CoRR, 2022)

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)

Fast TILs estimation in lung cancer WSIs based on semi-stochastic patch sampling. - Nikita Shvetsov; Anders Sildnes; Lill-Tove Rasmussen Busund; Stig Dalen; Kajsa Møllersen; Lars Ailo Bongo; Thomas K. Kilvaer (CoRR, 2024)

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)

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)