Nikita,
Anders,
Masoud,
Lill-Tove Rasmussen,
Stig Manfred,
Kajsa
et al.:
Fast TILs—A pipeline for efficient TILs estimation in non-small cell lung cancer
Journal of Pathology Informatics 01. avril 2025
DOI
Per Niklas Benzler,
Musarrat,
Igor,
Lars Ailo,
Brita
:
Prompt Engineering an Informational Chatbot for Education on Mental Health Using a Multiagent Approach for Enhanced Compliance With Prompt Instructions: Algorithm Development and Validation
Journal of Medical Internet Research AI (JMIR AI) 2025
DOI
Bjørn-Richard,
Rigmor Katrine,
Einar Jakobsen,
Hilde Leikny,
Lars Ailo Aslaksen
:
More Efficient Manual Review of Automatically Transcribed Tabular Data
Historical Life Course Studies 2024
DOI /
ARKIV
Per Niklas Benzler,
Lars Ailo Aslaksen,
Christina,
Geir Fagerjord
:
An individually adjusted approach for communicating epidemiological results on health and lifestyle to patients
Masoud,
Anders,
Mehrdad,
Nikita,
Lars Ailo Aslaksen,
Lill-Tove Rasmussen
et al.:
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images
Journal of Pathology Informatics 2024
DOI /
ARKIV
Bjørn-Richard,
Maisha,
Doris Tove,
Lars Ailo Aslaksen,
Eilidh,
Alice
et al.:
Coding Historical Causes of Death Data with Large Language Models
Lecture Notes in Computer Science (LNCS) 2024
DOI /
ARKIV
Mohsen Gamal Saad,
Lars,
Einar Jakobsen,
Lars Ailo Aslaksen,
Kristian
:
“Using network analysis modularity to group health code systems and decrease dimensionality in machine learning models”
Exploratory Research in Clinical and Social Pharmacy (ERCSP) 2024
DOI /
ARKIV
Solveig,
Ngoc Nha Vi,
Catharina Elisabeth Arfwedson,
Lars Ailo Aslaksen
:
Social robots in research on social and cognitive development in infants and toddlers: A scoping review
Masoud,
Lars Ailo Aslaksen,
Nikita,
Lill-Tove Rasmussen,
Kajsa
:
Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review
Journal of Pathology Informatics 2024
DOI /
ARKIV
Per Niklas Benzler,
Hasse,
Henrik,
Markus Kreutzer,
Tom,
Johan Fredrik
et al.:
Algorithm for predicting valvular heart disease from heart sounds in an unselected cohort
Frontiers in Cardiovascular Medicine 2023
DOI /
ARKIV
Louise,
Mads,
Bjørn-Richard,
Rafael Nozal,
Anders,
Nikita
et al.:
Automated Coding of Historical Danish Cause of death Data Using String Similarity
Digital Humanities in the Nordic and Baltic Countries Publications (DHNB Publications) 2023
DOI
Dina Benedicte Berg,
Rafael Nozal,
Lars,
Karina,
Christopher Sivert,
Kristian
et al.:
Social network analysis of Staphylococcus aureus carriage in a general youth population
Bjørn-Richard,
Einar,
Trygve,
Nikita,
Johan,
Hilde Leikny
et al.:
Lessons Learned Developing and Using a Machine Learning Model to Automatically Transcribe 2.3 Million Handwritten Occupation Codes
Historical Life Course Studies 06. janvier 2022
DOI /
ARKIV
Nikita,
Morten,
Edvard,
Kajsa,
Lill-Tove Rasmussen,
Ruth
et al.:
A Pragmatic Machine Learning Approach to Quantify Tumor-Infiltrating Lymphocytes in Whole Slide Images
Einar,
Vittorio,
Lars Ailo,
Eiliv,
Etienne
:
Predicting breast cancer metastasis from whole-blood transcriptomic measurements
Jo Inge,
Lars Ailo
:
The Beauty of Complex Designs
Bjørn,
Nikita,
Therese Haugdahl,
Hege Marie,
Till,
Einar
et al.:
Reproducible Data Management and Analysis using R
Bjørn,
Nina,
Morten,
maria wulff,
Hedinn,
Fredrik Høisæther
et al.:
Teaching Electronics and Programming in Norwegian Schools
Using the air:bit Sensor Kit
Cristina,
Johan,
Einar,
Juan Carlos Aviles,
Hasse,
Lars Ailo
:
Convolutional Neural Network for Breathing Phase Detection in Lung Sounds
Mike,
Kajsa,
Lars Ailo
:
Reproduction study using public data of: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
Lars Ailo,
Inge Alexander
:
META-pipe Authorization service
Bjørn,
Nina,
maria wulff,
Joachim Sveia,
Morten,
Hedinn
et al.:
Low-Cost Programmable Air Quality Sensor Kits in Science Education
Kidane M,
Sveinung,
Kjetil,
Lars Ailo,
Inge Alexander,
Xiaxi
et al.:
Norwegian e-Infrastructure for Life Sciences (NeLS)
Aleksander,
Kimmo,
Cuong Duong,
Lars,
Inge Alexander,
Lars Ailo Aslaksen
:
META-pipe cloud setup and execution
F1000 Research 18. janvier 2018
DOI /
ARKIV
Espen Mikal,
Hubert,
Alex,
Robert D,
Lars Ailo Aslaksen,
Nils Peder
:
ELIXIR pilot action: Marine metagenomics - towards a domain specific set of sustainable services
Petra ten,
Robert D.,
Lars Ailo,
Erwan,
Bruno,
Folker
et al.:
The metagenomic data life-cycle: standards and best practices.
Petter,
Karianne Oldernes,
Lars Ailo
:
- UiT er langt fremme når det gjelder kunstig intelligens
Jill Walker,
Lars Ailo Aslaksen
:
Dette mener KI er samisk
Lars Ailo Aslaksen,
Per Niklas Benzler,
Ingrid
:
Algorithm for predicting valvular heart disease from heart sounds in an unselected cohort - From research project to patent and beyond
2023
Bjørn-Richard,
Hilde Leikny,
Einar Jakobsen,
Rigmor Katrine,
Trygve,
Nikita
et al.:
Automatic transcription of handwritten Norwegian occupation codes: The lessons learned
2023
Bjørn-Richard,
Maisha,
Lars Ailo Aslaksen,
Eilidh,
Alice,
Hilde Leikny
:
Coding historical causes of death data using Large Language Models
2023
Bjørn-Richard,
Einar Jakobsen,
Rigmor Katrine,
Hilde Leikny,
Lars Ailo Aslaksen
:
Manual review and correction of ML transcribed occupational codes from the Norwegian population census of 1950
2023
Kajsa,
Lars Ailo,
Masoud
:
Cancer detection for white urban Americans
Mehrdad,
Masoud,
Elio,
Biagio,
Joao,
Alessio
et al.:
Artificial intelligence algorithm developed to predict immune checkpoint inhibitors efficacy in non–small-cell lung cancer
2023
Benjamin,
Lars Ailo Aslaksen
:
Pitch day UiT
2023
Benjamin,
Lars Ailo Aslaksen
:
Innovation evening at IFI
2023
Lars Ailo
:
Vurdering av posisjoneringskriterier for screeningmammogrammer med kunstig intelligens (VINN)
2022
Lars Ailo
:
Health Data Lab
2022
Lars Ailo
:
Founding an AI startup as an AI Researcher
2022
Lars Ailo
:
Machine learning on medical images
2022
Lars Ailo
:
Innovasjonsprisen 2021
2022
Lars Ailo
:
Startups innen AI basert helseteknologi – fra en forskers perspektiv
2022
Bjørn-Richard,
Trygve,
Lars Ailo,
Hilde Leikny
:
What to do with the stubborn 3 percent?
2022
Lars Ailo Aslaksen,
Ingrid,
Per Niklas Benzler
:
Algorithm for predicting valvular heart disease from heart sounds in an unselected cohort - From research project to patent and beyond
2022
Lars Ailo Aslaksen
:
Startups innen AI basert helseteknologi – fra en forskers perspektiv
2022
Rigmor Katrine,
Lars Ailo,
Hilde,
Geir F
:
GEN-Ethics: What do Norwegian women think of utilising genetic testing as part of breast cancer screening?
2022
Lars Ailo,
Bjørn-Richard,
Einar,
Trygve,
Tim Alexander,
Nikita
et al.:
Automated approaches for Transcription of 20th Century Norwegian Census Microdata - Lessons Learned
2021
Dina Benedicte Berg,
Rafael A. Nozal,
Lars,
Karina,
Christopher Sivert,
Kristian
et al.:
Social network analysis of Staphylococcus aureus carriage in a general youth population
2021
Bjørn,
Nina,
Morten,
maria wulff,
Hedinn,
Fredrik Høisæther
et al.:
Teaching Electronics and Programming in Norwegian Schools Using the Air: Bit Sensor Kit
2019
Bjørn,
Nina,
maria wulff,
Joachim Sveia,
Morten,
Hedinn
et al.:
Low-Cost Programmable Air Quality Sensor Kits in Science Education
2018