Photo: UiT
Lars Ailo Bongo
Nikita Shvetsov,
Thomas Karsten Kilvær,
Masoud Tafavvoghi,
Anders Sildnes,
Kajsa Møllersen,
Lill-Tove Rasmussen Busund
et al.:
A lightweight and extensible cell segmentation and classification model for H&E-stained cancer whole slide images
Nikita Shvetsov,
Anders Sildnes,
Masoud Tafavvoghi,
Lill-Tove Rasmussen Busund,
Stig Manfred Dalen,
Kajsa Møllersen
et al.:
Fast TILs—A pipeline for efficient TILs estimation in non-small cell lung cancer
Per Niklas Benzler Waaler,
Musarrat Hussain,
Igor Molchanov,
Lars Ailo Bongo,
Brita Elvevåg
:
Prompt Engineering an Informational Chatbot for Education on Mental Health Using a Multiagent Approach for Enhanced Compliance With Prompt Instructions: Algorithm Development and Validation
Bjørn-Richard Pedersen,
Rigmor Katrine Johansen,
Einar Jakobsen Holsbø,
Hilde Leikny Sommerseth,
Lars Ailo Aslaksen Bongo
:
More Efficient Manual Review of Automatically Transcribed Tabular Data
Per Niklas Benzler Waaler,
Lars Ailo Aslaksen Bongo,
Christina Rolandsen,
Geir Fagerjord Lorem
:
An individually adjusted approach for communicating epidemiological results on health and lifestyle to patients
Masoud Tafavvoghi,
Anders Sildnes,
Mehrdad Rakaee,
Nikita Shvetsov,
Lars Ailo Aslaksen Bongo,
Lill-Tove Rasmussen Busund
et al.:
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images
Bjørn-Richard Pedersen,
Maisha Islam,
Doris Tove Kristoffersen,
Lars Ailo Aslaksen Bongo,
Eilidh Garrett,
Alice Reid
et al.:
Coding Historical Causes of Death Data with Large Language Models
Mohsen Gamal Saad Askar,
Lars Småbrekke,
Einar Jakobsen Holsbø,
Lars Ailo Aslaksen Bongo,
Kristian Svendsen
:
“Using network analysis modularity to group health code systems and decrease dimensionality in machine learning models”
Solveig Flatebø,
Ngoc Nha Vi Tran,
Catharina Elisabeth Arfwedson Wang,
Lars Ailo Aslaksen Bongo
:
Social robots in research on social and cognitive development in infants and toddlers: A scoping review
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
Per Niklas Benzler Waaler,
Hasse Melbye,
Henrik Schirmer,
Markus Kreutzer Johnsen,
Tom Dønnem,
Johan Fredrik Ravn
et al.:
Algorithm for predicting valvular heart disease from heart sounds in an unselected cohort
Louise Ludvigsen,
Mads Perner,
Bjørn-Richard Pedersen,
Rafael Nozal Cañadas,
Anders Sildnes,
Nikita Shvetsov
et al.:
Automated Coding of Historical Danish Cause of death Data Using String Similarity
Dina Benedicte Berg Stensen,
Rafael Nozal Cañadas,
Lars Småbrekke,
Karina Olsen,
Christopher Sivert Nielsen,
Kristian Svendsen
et al.:
Social network analysis of Staphylococcus aureus carriage in a general youth population
Bjørn-Richard Pedersen,
Einar Holsbø,
Trygve Andersen,
Nikita Shvetsov,
Johan Ravn,
Hilde Leikny Sommerseth
et al.:
Lessons Learned Developing and Using a Machine Learning Model to Automatically Transcribe 2.3 Million Handwritten Occupation Codes
Nikita Shvetsov,
Morten Grønnesby,
Edvard Pedersen,
Kajsa Møllersen,
Lill-Tove Rasmussen Busund,
Ruth Schwienbacher
et al.:
A Pragmatic Machine Learning Approach to Quantify Tumor-Infiltrating Lymphocytes in Whole Slide Images
Einar Holsbø,
Vittorio Perduca,
Lars Ailo Bongo,
Eiliv Lund,
Etienne Birmelé
:
Predicting breast cancer metastasis from whole-blood transcriptomic measurements
Jo Inge Arnes,
Lars Ailo Bongo
:
The Beauty of Complex Designs
Bjørn Fjukstad,
Nikita Shvetsov,
Therese Haugdahl Nøst,
Hege Marie Bøvelstad,
Till Halbach,
Einar Holsbø
et al.:
Reproducible Data Management and Analysis using R
Bjørn Fjukstad,
Nina Angelvik,
Morten Grønnesby,
maria wulff Hauglann,
Hedinn Gunhildrud,
Fredrik Høisæther Rasch
et al.:
Teaching Electronics and Programming in Norwegian Schools
Using the air:bit Sensor Kit
Cristina Jacome,
Johan Ravn,
Einar Holsbø,
Juan Carlos Aviles Solis,
Hasse Melbye,
Lars Ailo Bongo
:
Convolutional Neural Network for Breathing Phase Detection in Lung Sounds
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
Lars Ailo Bongo,
Inge Alexander Raknes
:
META-pipe Authorization service
Bjørn Fjukstad,
Nina Angelvik,
maria wulff Hauglann,
Joachim Sveia Knutsen,
Morten Grønnesby,
Hedinn Gunhildrud
et al.:
Low-Cost Programmable Air Quality Sensor Kits in Science Education
Kidane M Tekle,
Sveinung Gundersen,
Kjetil Klepper,
Lars Ailo Bongo,
Inge Alexander Raknes,
Xiaxi Li
et al.:
Norwegian e-Infrastructure for Life Sciences (NeLS)
Aleksander Agafonov,
Kimmo Mattila,
Cuong Duong Tuan,
Lars Tiede,
Inge Alexander Raknes,
Lars Ailo Aslaksen Bongo
:
META-pipe cloud setup and execution
Espen Mikal Robertsen,
Hubert Denise,
Alex Mitchell,
Robert D Finn,
Lars Ailo Aslaksen Bongo,
Nils Peder Willassen
:
ELIXIR pilot action: Marine metagenomics - towards a domain specific set of sustainable services
Petter Bjørklund,
Karianne Oldernes Tung,
Lars Ailo Bongo
:
- UiT er langt fremme når det gjelder kunstig intelligens
Jill Walker Rettberg,
Lars Ailo Aslaksen Bongo
:
Dette mener KI er samisk
Lars Ailo Aslaksen Bongo,
Per Niklas Benzler Waaler,
Ingrid Skjæveland
:
Algorithm for predicting valvular heart disease from heart sounds in an unselected cohort - From research project to patent and beyond
2023 ARKIV
Bjørn-Richard Pedersen,
Hilde Leikny Sommerseth,
Einar Jakobsen Holsbø,
Rigmor Katrine Johansen,
Trygve Andersen,
Nikita Shvetsov
et al.:
Automatic transcription of handwritten Norwegian occupation codes: The lessons learned
2023 ARKIV
Bjørn-Richard Pedersen,
Maisha Islam,
Lars Ailo Aslaksen Bongo,
Eilidh Garrett,
Alice Reid,
Hilde Leikny Sommerseth
:
Coding historical causes of death data using Large Language Models
2023 ARKIV
Bjørn-Richard Pedersen,
Einar Jakobsen Holsbø,
Rigmor Katrine Johansen,
Hilde Leikny Sommerseth,
Lars Ailo Aslaksen Bongo
:
Manual review and correction of ML transcribed occupational codes from the Norwegian population census of 1950
2023 ARKIV
Kajsa Møllersen,
Lars Ailo Bongo,
Masoud Tafavvoghi
:
Cancer detection for white urban Americans
2023 ARKIV
Mehrdad Rakaee,
Masoud Tafavvoghi,
Elio Adib,
Biagio Ricciuti,
Joao Alessi,
Alessio Cortellini
et al.:
Artificial intelligence algorithm developed to predict immune checkpoint inhibitors efficacy in non–small-cell lung cancer
Benjamin Ricaud,
Lars Ailo Aslaksen Bongo
:
Pitch day UiT
2023 ARKIV
Benjamin Ricaud,
Lars Ailo Aslaksen Bongo
:
Innovation evening at IFI
2023 ARKIV
Lars Ailo Bongo
:
Vurdering av posisjoneringskriterier for screeningmammogrammer med kunstig intelligens (VINN)
2022 ARKIV
Lars Ailo Bongo
:
Health Data Lab
2022 ARKIV
Lars Ailo Bongo
:
Founding an AI startup as an AI Researcher
2022 ARKIV
Lars Ailo Bongo
:
Machine learning on medical images
2022 ARKIV
Lars Ailo Bongo
:
Innovasjonsprisen 2021
2022 ARKIV
Lars Ailo Bongo
:
Startups innen AI basert helseteknologi – fra en forskers perspektiv
2022 ARKIV
Bjørn-Richard Pedersen,
Trygve Andersen,
Lars Ailo Bongo,
Hilde Leikny Sommerseth
:
What to do with the stubborn 3 percent?
2022 ARKIV
Lars Ailo Aslaksen Bongo,
Ingrid Skjæveland,
Per Niklas Benzler Waaler
:
Algorithm for predicting valvular heart disease from heart sounds in an unselected cohort - From research project to patent and beyond
2022 ARKIV
Lars Ailo Aslaksen Bongo
:
Startups innen AI basert helseteknologi – fra en forskers perspektiv
2022 ARKIV
Rigmor Katrine Johansen,
Lars Ailo Bongo,
Hilde Laholt,
Geir F Lorem
:
GEN-Ethics: What do Norwegian women think of utilising genetic testing as part of breast cancer screening?
2022 ARKIV
Lars Ailo Bongo,
Bjørn-Richard Pedersen,
Einar Holsbø,
Trygve Andersen,
Tim Alexander Teige,
Nikita Shvetsov
et al.:
Automated approaches for Transcription of 20th Century Norwegian Census Microdata - Lessons Learned
2021 ARKIV
Dina Benedicte Berg Stensen,
Rafael A. Nozal Cañadas,
Lars Småbrekke,
Karina Olsen,
Christopher Sivert Nielsen,
Kristian Svendsen
et al.:
Social network analysis of Staphylococcus aureus carriage in a general youth population
2021 ARKIV
Bjørn Fjukstad,
Nina Angelvik,
Morten Grønnesby,
maria wulff Hauglann,
Hedinn Gunhildrud,
Fredrik Høisæther Rasch
et al.:
Teaching Electronics and Programming in Norwegian Schools Using the Air: Bit Sensor Kit
2019 ARKIV
Bjørn Fjukstad,
Nina Angelvik,
maria wulff Hauglann,
Joachim Sveia Knutsen,
Morten Grønnesby,
Hedinn Gunhildrud
et al.:
Low-Cost Programmable Air Quality Sensor Kits in Science Education
2018 ARKIV
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Research interests
Lab homepage: https://uit-hdl.github.io/
Publications: https://uit-hdl.github.io/publications.html
Software: https://uit-hdl.github.io/software.html
