Kajsa Møllersen
Stillingsbeskrivelse
Se engelsk versjon.
Masoud Tafavvoghi,
Lars Ailo Aslaksen Bongo,
Nikita Shvetsov,
Lill-Tove Rasmussen Busund,
Kajsa Møllersen
:
Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review
Journal of Pathology Informatics 2024 /
Masoud Tafavvoghi,
Anders Sildnes,
Mehrdad Rakaee,
Nikita Shvetsov,
Lars Ailo Aslaksen Bongo,
Lill-Tove Rasmussen Busund
m.fl.:
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images
Journal of Pathology Informatics 2024 /
Tonje Kristin Jensen,
Torbjørn Inge Tobiassen,
Karsten Heia,
Kajsa Møllersen,
Roger B. Larsen,
Margrethe Esaiassen
:
Effect of Codend Design and Postponed Bleeding on Hemoglobin in Cod Fillets Caught by Bottom Trawl in the Barents Sea Demersal Fishery
Journal of Aquatic Food Product Technology 2022 /
Nikita Shvetsov,
Morten Grønnesby,
Edvard Pedersen,
Kajsa Møllersen,
Lill-Tove Rasmussen Busund,
Ruth Schwienbacher
m.fl.:
A Pragmatic Machine Learning Approach to Quantify Tumor-Infiltrating Lymphocytes in Whole Slide Images
Cancers 2022 /
Erica Ponzi,
Magne Thoresen,
Therese Haugdahl Nøst,
Kajsa Møllersen
:
Integrative, multi-omics, analysis of blood samples improves model predictions: applications to cancer
BMC Bioinformatics 2021 /
Thomas Haugland Johansen,
Steffen Aagaard Sørensen,
Kajsa Møllersen,
Fred Godtliebsen
:
Instance Segmentation of Microscopic Foraminifera
Applied Sciences 2021 /
Ingvild Hersoug Nedberg,
Marzia Lazzerini,
Ilaria Mariani,
Kajsa Møllersen,
Emanuelle Pessa Valente,
Erik Eik Anda
m.fl.:
Changes in maternal risk factors and their association with changes in cesarean sections in Norway between 1999 and 2016: A descriptive population-based registry study
PLoS Medicine 2021 /
Bjørn Holdø,
Kajsa Møllersen,
Margareta Verelst,
Ian Milsom,
Rune Svenningsen,
Finn Egil Skjeldestad
:
Surgeon’s experience and clinical outcome after retropubic tension‐free vaginal tape—A case series
Acta Obstetricia et Gynecologica Scandinavica 2020 /
Kajsa Møllersen,
Jon Yngve Hardeberg,
Fred Godtliebsen
:
A probabilistic bag-to-class approach to multiple-instance learning
Data 26. juni 2020 /
Einar Holsbø,
Kajsa Møllersen
:
Woes of The Practicing Omics Researchers
Universitetsforlaget 2020
Thomas Haugland Johansen,
Kajsa Møllersen,
Samuel Ortega,
Himar Fabelo,
Aday Garcia,
Gustavo Callico
m.fl.:
Recent advances in hyperspectral imaging for melanoma detection
Wiley Interdisciplinary Reviews: Computational Statistics 2019 /
Mike Voets,
Kajsa Møllersen,
Lars Ailo Bongo
:
Reproduction study using public data of: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
PLOS ONE 2019 /
Kajsa Møllersen,
Maciel Zortea,
Thomas Roger Griesbeck Schopf,
Herbert M. Kirchesch,
Fred Godtliebsen
:
Comparison of computer systems and ranking criteria for automatic melanoma detection in dermoscopic images
PLOS ONE 2017 /
Kajsa Møllersen,
Subhra Dhar,
Fred Godtliebsen
:
On Data-Independent Properties for Density-Based Dissimilarity Measures in Hybrid Clustering
Applied Mathematics 2016 /
Kajsa Møllersen,
Jon Yngve Hardeberg,
Fred Godtliebsen
:
Divergence-based colour features for melanoma detection
IEEE conference proceedings 2015
Kajsa Møllersen,
Herbert M. Kirchesch,
Maciel Zortea,
Thomas Roger Griesbeck Schopf,
Kristian Hindberg,
Fred Godtliebsen
:
Computer-aided decision support for melanoma detection applied on melanocytic and non-melanocytic skin lesions: a comparison of two systems based on automatic analysis of dermoscopic images
BioMed Research International 2015 /
Kajsa Møllersen,
Maciel Zortea,
Kristian Hindberg,
Thomas Roger Griesbeck Schopf,
Stein Olav Skrøvseth,
Fred Godtliebsen
:
Improved Skin Lesion Diagnostics for General Practice by Computer-Aided Diagnostics
CRC Press 2015
Maciel Zortea,
Thomas Roger Griesbeck Schopf,
Kevin Otto Thon,
Marc Geilhufe,
Kristian Hindberg,
Herbert M. Kirchesch
m.fl.:
Performance of a dermoscopy-based computer vision system for the diagnosis of pigmented skin lesions compared with visual evaluation by experienced dermatologists
Artificial Intelligence in Medicine 2014 /
Stein Olav Skrøvseth,
Thomas Roger Griesbeck Schopf,
Kevin Otto Thon,
Maciel Zortea,
Marc Geilhufe,
Kajsa Møllersen
m.fl.:
A computer aided diagnostic system for malignant melanomas
IEEE conference proceedings 2010
Kajsa Møllersen,
Herbert M. Kirchesch,
Thomas Roger Griesbeck Schopf,
Fred Godtliebsen
:
Unsupervised segmentation for digital dermoscopic images
Skin Research and Technology 2010
Mehrdad Rakaee,
Masoud Tafavvoghi,
Elio Adib,
Biagio Ricciuti,
Joao Alessi,
Alessio Cortellini
m.fl.:
Artificial intelligence algorithm developed to predict immune checkpoint inhibitors efficacy in non–small-cell lung cancer
2023
Kajsa Møllersen
:
The blind leading the blind? Filling the knowledge gap by student peer assessment
2023
Kajsa Møllersen,
Lars Ailo Bongo,
Masoud Tafavvoghi
:
Cancer detection for white urban Americans
2023
Kajsa Møllersen
:
The 99% accuracy club
2022
Kajsa Møllersen
:
Facilitating the spread of cancer (data)
2022
Kajsa Møllersen
:
Numbers, tables and statistics
2021
Kajsa Møllersen
:
Pizza made healthy – an epidemiological cookbook
2021
Kajsa Møllersen
:
The 99% accuracy club
2021
Thomas Haugland Johansen,
Kajsa Møllersen,
Samuel Ortega,
Himar Fabelo,
Gustavo Callico,
Fred Godtliebsen
:
Detecting skin cancer using hyperspectral images
Advanced Science News 2020
Kajsa Møllersen
:
Har du genet som gir brystkreft? Uten statistikkforskning får du aldri svar.
www.forskning.no 2019
Kajsa Møllersen
:
Statistikkens estetikk
2019
Kajsa Møllersen
:
Alle disse tallene, alle disse tabellene
Tilfeldig gang 2019
Vibeke Os,
Kajsa Møllersen
:
Nytt dataprogram for å oppdage føflekkreft
Forskning.no 2016
Audun Hetland,
Kajsa Møllersen
:
Do something meaningful
2012
Forskningsinteresser
Anvendt statistikk; Billedanalyse; Clustering; Divergence functions; Feature selection; Føflekkreft; Brystkreft;
Undervisning
Se engelsk versjon
