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
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
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
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
Erica Ponzi,
Magne Thoresen,
Therese Haugdahl Nøst,
Kajsa Møllersen
:
Integrative, multi-omics, analysis of blood samples improves model predictions: applications to cancer
Thomas Haugland Johansen,
Steffen Aagaard Sørensen,
Kajsa Møllersen,
Fred Godtliebsen
:
Instance Segmentation of Microscopic Foraminifera
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
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
Kajsa Møllersen,
Jon Yngve Hardeberg,
Fred Godtliebsen
:
A probabilistic bag-to-class approach to multiple-instance learning
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
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
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
Kajsa Møllersen,
Subhra Dhar,
Fred Godtliebsen
:
On Data-Independent Properties for Density-Based Dissimilarity Measures in Hybrid Clustering
Kajsa Møllersen,
Jon Yngve Hardeberg,
Fred Godtliebsen
:
Divergence-based colour features for melanoma detection
IEEE conference proceedings 2015 DOI
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
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 DOI
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
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 SAMMENDRAG
Kajsa Møllersen,
Herbert M. Kirchesch,
Thomas Roger Griesbeck Schopf,
Fred Godtliebsen
:
Unsupervised segmentation for digital dermoscopic images
Skin Research and Technology 2010 DOI
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 ARKIV
Kajsa Møllersen,
Lars Ailo Bongo,
Masoud Tafavvoghi
:
Cancer detection for white urban Americans
2023 ARKIV
Kajsa Møllersen
:
The 99% accuracy club
2022
Kajsa Møllersen
:
Facilitating the spread of cancer (data)
2022
Kajsa Møllersen
:
Numbers, tables and statistics
2021 ARKIV
Kajsa Møllersen
:
Pizza made healthy – an epidemiological cookbook
2021 ARKIV
Kajsa Møllersen
:
The 99% accuracy club
2021 ARKIV
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 FULLTEKST
Audun Hetland,
Kajsa Møllersen
:
Do something meaningful
2012
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Forskningsinteresser
Anvendt statistikk; Billedanalyse; Clustering; Divergence functions; Feature selection; Føflekkreft; Brystkreft;
Undervisning
Se engelsk versjon
