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2020 – today
- 2024
[i9]Nikita Shvetsov, Anders Sildnes, Lill-Tove Rasmussen Busund, Stig Dalen, Kajsa Møllersen, Lars Ailo Bongo, Thomas K. Kilvaer:
Fast TILs estimation in lung cancer WSIs based on semi-stochastic patch sampling. CoRR abs/2405.02913 (2024)- [i8]Masoud Tafavvoghi, Anders Sildnes, Mehrdad Rakaee, Nikita Shvetsov, Lars Ailo Bongo, Lill-Tove Rasmussen Busund, Kajsa Møllersen:
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images. CoRR abs/2409.09053 (2024) - 2023
- [i7]Kajsa Møllersen, Einar J. Holsbø:
What is the state of the art? Accounting for multiplicity in machine learning benchmark performance. CoRR abs/2303.07272 (2023) - [i6]Masoud Tafavvoghi, Lars Ailo Bongo, Nikita Shvetsov, Lill-Tove Rasmussen Busund, Kajsa Møllersen:
Publicly available datasets of breast histopathology H&E whole-slide images: A systematic review. CoRR abs/2306.01546 (2023) - 2022
- [i5]Nikita Shvetsov, Morten Grønnesby, Edvard Pedersen, Kajsa Møllersen, Lill-Tove Rasmussen Busund, Ruth Schwienbacher, Lars Ailo Bongo, Thomas K. Kilvaer:
A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images. CoRR abs/2202.06590 (2022) - 2021
- [j3]Erica Ponzi
, Magne Thoresen, Therese Haugdahl Nøst, Kajsa Møllersen:
Integrative, multi-omics, analysis of blood samples improves model predictions: applications to cancer. BMC Bioinform. 22(1): 395 (2021) - [i4]Thomas Haugland Johansen, Steffen Aagaard Sørensen, Kajsa Møllersen, Fred Godtliebsen:
Instance Segmentation of Microscopic Foraminifera. CoRR abs/2105.14191 (2021) - 2020
- [j2]Kajsa Møllersen, Jon Yngve Hardeberg, Fred Godtliebsen:
A Probabilistic Bag-to-Class Approach to Multiple-Instance Learning. Data 5(2): 56 (2020)
2010 – 2019
- 2018
- [i3]Kajsa Møllersen, Jon Yngve Hardeberg, Fred Godtliebsen:
A bag-to-class divergence approach to multiple-instance learning. CoRR abs/1803.02782 (2018) - [i2]Mike Voets, Kajsa Møllersen, Lars Ailo Bongo:
Replication study: Development and validation of deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. CoRR abs/1803.04337 (2018) - 2016
- [i1]Kajsa Møllersen, Subhra S. Dhar, Fred Godtliebsen:
On Data-Independent Properties for Density-Based Dissimilarity Measures in Hybrid Clustering. CoRR abs/1609.06533 (2016) - 2015
- [c1]Kajsa Møllersen, Jon Yngve Hardeberg, Fred Godtliebsen:
Divergence-based colour features for melanoma detection. CVCS 2015: 1-6 - 2014
- [j1]Maciel Zortea, Thomas R. Schopf, Kevin Thon, Marc Geilhufe, Kristian Hindberg, Herbert M. Kirchesch, Kajsa Møllersen, Jörn Schulz, Stein Olav Skrøvseth, Fred Godtliebsen:
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 60(1): 13-26 (2014)
Coauthor Index
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