Kajsa Møllersen

17 papers Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Lightweight and Extensible Cell Segmentation and Classification Model for Whole Slide Images. CoRR Nikita Shvetsov, Thomas K. Kilvaer, Masoud Tafavvoghi, Anders Sildnes, Kajsa Møllersen, Lill-Tove Rasmussen Busund, Lars Ailo Bongo
2025	J	`jnl`	A lightweight and extensible cell segmentation and classification model for H&E-stained cancer whole slide images. Comput. Biol. Medicine Nikita Shvetsov, Thomas K. Kilvaer, Masoud Tafavvoghi, Anders Sildnes, Kajsa Møllersen, Lill-Tove Rasmussen Busund, Lars Ailo Bongo
2025	J	`jnl`	Automating tumor-infiltrating lymphocyte assessment in breast cancer histopathology images using QuPath: a transparent and accessible machine learning pipeline. CoRR Masoud Tafavvoghi, Lars Ailo Bongo, André Berli Delgado, Nikita Shvetsov, Anders Sildnes, Line Moi, Lill-Tove Rasmussen Busund, Kajsa Møllersen
2025	J	`jnl`	Open-source framework for detecting bias and overfitting for large pathology images. CoRR Anders Sildnes, Nikita Shvetsov, Masoud Tafavvoghi, Vi Ngoc-Nha Tran, Kajsa Møllersen, Lill-Tove Rasmussen Busund, Thomas K. Kilvaer, Lars Ailo Bongo
2024	J	`jnl`	Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images. CoRR Masoud Tafavvoghi, Anders Sildnes, Mehrdad Rakaee, Nikita Shvetsov, Lars Ailo Bongo, Lill-Tove Rasmussen Busund, Kajsa Møllersen
2024	J	`jnl`	Fast TILs estimation in lung cancer WSIs based on semi-stochastic patch sampling. CoRR Nikita Shvetsov, Anders Sildnes, Lill-Tove Rasmussen Busund, Stig Dalen, Kajsa Møllersen, Lars Ailo Bongo, Thomas K. Kilvaer
2023	J	`jnl`	Publicly available datasets of breast histopathology H&E whole-slide images: A systematic review. CoRR Masoud Tafavvoghi, Lars Ailo Bongo, Nikita Shvetsov, Lill-Tove Rasmussen Busund, Kajsa Møllersen
2023	J	`jnl`	What is the state of the art? Accounting for multiplicity in machine learning benchmark performance. CoRR Kajsa Møllersen, Einar J. Holsbø
2022	J	`jnl`	A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images. CoRR Nikita Shvetsov, Morten Grønnesby, Edvard Pedersen, Kajsa Møllersen, Lill-Tove Rasmussen Busund, Ruth Schwienbacher, Lars Ailo Bongo, Thomas K. Kilvaer
2021	J	`jnl`	Instance Segmentation of Microscopic Foraminifera. CoRR Thomas Haugland Johansen, Steffen Aagaard Sørensen, Kajsa Møllersen, Fred Godtliebsen
2021	J	`jnl`	Integrative, multi-omics, analysis of blood samples improves model predictions: applications to cancer. BMC Bioinform. Erica Ponzi, Magne Thoresen, Therese Haugdahl Nøst, Kajsa Møllersen
2020	J	`jnl`	A Probabilistic Bag-to-Class Approach to Multiple-Instance Learning. Data Kajsa Møllersen, Jon Yngve Hardeberg, Fred Godtliebsen
2018	J	`jnl`	A bag-to-class divergence approach to multiple-instance learning. CoRR Kajsa Møllersen, Jon Yngve Hardeberg, Fred Godtliebsen
2018	J	`jnl`	Replication study: Development and validation of deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. CoRR Mike Voets, Kajsa Møllersen, Lars Ailo Bongo
2016	J	`jnl`	On Data-Independent Properties for Density-Based Dissimilarity Measures in Hybrid Clustering. CoRR Kajsa Møllersen, Subhra S. Dhar, Fred Godtliebsen
2015	—	`conf`	Divergence-based colour features for melanoma detection. CVCS Kajsa Møllersen, Jon Yngve Hardeberg, Fred Godtliebsen
2014	J	`jnl`	Performance of a dermoscopy-based computer vision system for the diagnosis of pigmented skin lesions compared with visual evaluation by experienced dermatologists. Artif. Intell. Medicine Maciel Zortea, Thomas R. Schopf, Kevin Thon, Marc Geilhufe, Kristian Hindberg, Herbert M. Kirchesch, Kajsa Møllersen, Jörn Schulz, Stein Olav Skrøvseth, Fred Godtliebsen