
Foto: UiT
Lars Ailo Bongo
Professor
Louise Ludvigsen,
Mads Perner,
Bjørn-Richard Pedersen,
Rafael Nozal Cañadas,
Anders Sildnes,
Nikita Shvetsov
m.fl.:
Automated Coding of Historical Danish Cause of death Data Using String Similarity
Digital Humanities in the Nordic and Baltic Countries Publications 2023 DOI
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
Dina Benedicte Berg Stensen,
Rafael Nozal Cañadas,
Lars Småbrekke,
Karina Olsen,
Christopher Sivert Nielsen,
Kristian Svendsen
m.fl.:
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
m.fl.:
Lessons Learned Developing and Using a Machine Learning Model to Automatically Transcribe 2.3 Million Handwritten Occupation Codes
Jo Inge Arnes,
Lars Ailo Bongo
:
The Beauty of Complex Designs
Universitetsforlaget 2020 ARKIV
Bjørn Fjukstad,
Nikita Shvetsov,
Therese Haugdahl Nøst,
Hege Marie Bøvelstad,
Till Halbach,
Einar Holsbø
m.fl.:
Reproducible Data Management and Analysis using R
Einar Holsbø,
Vittorio Perduca,
Lars Ailo Bongo,
Eiliv Lund,
Etienne Birmelé
:
Predicting breast cancer metastasis from whole-blood transcriptomic measurements
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
Bjørn Fjukstad,
Nina Angelvik,
Morten Grønnesby,
maria wulff Hauglann,
Hedinn Gunhildrud,
Fredrik Høisæther Rasch
m.fl.:
Teaching Electronics and Programming in Norwegian Schools
Using the air:bit Sensor Kit
Association for Computing Machinery (ACM) 2019 DOI
Kidane M Tekle,
Sveinung Gundersen,
Kjetil Klepper,
Lars Ailo Bongo,
Inge Alexander Raknes,
Xiaxi Li
m.fl.:
Norwegian e-Infrastructure for Life Sciences (NeLS)
Lars Ailo Bongo,
Inge Alexander Raknes
:
META-pipe Authorization service
F1000 2018 DOI
Bjørn Fjukstad,
Nina Angelvik,
maria wulff Hauglann,
Joachim Sveia Knutsen,
Morten Grønnesby,
Hedinn Gunhildrud
m.fl.:
Low-Cost Programmable Air Quality Sensor Kits in Science Education
ACM Publications 2018 DOI
Aleksander Agafonov,
Kimmo Mattila,
Cuong Duong Tuan,
Lars Tiede,
Inge Alexander Raknes,
Lars Ailo Aslaksen Bongo
:
META-pipe cloud setup and execution
Edvard Pedersen,
Lars Ailo Bongo
:
Large-scale biological meta-database management
Future Generation Computer Systems 2017 DOI
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
F1000 2017 DOI
Petra ten Hoopen,
Robert D. Finn,
Lars Ailo Bongo,
Erwan Corre,
Bruno Fosso,
Folker Meyer
m.fl.:
The metagenomic data life-cycle: standards and best practices.
Vanessa Dumeaux,
Bjørn Fjukstad,
Hans Erikssønn Fjøsne,
Jan Ole Frantzen,
Marit Muri Holmen,
Enno Rodegerdts
m.fl.:
Interactions between the tumor and the blood systemic response of breast cancer patients
PLoS Computational Biology 2017 DOI
Inge Alexander Raknes,
Bjørn Fjukstad,
Lars Ailo Aslaksen Bongo
:
nsroot: Minimalist process isolation tool implemented with Linux namespaces
Johan Ravn,
Juan Carlos Aviles Solis,
Morten Grønnesby,
Hasse Melbye,
Lars Ailo Bongo
:
Detection of Wheezes and Breathing Phases Using Deep Convolutional Neural Networks
2017
Morten Grønnesby,
Juan Carlos Aviles Solis,
Einar Holsbø,
Hasse Melbye,
Lars Ailo Bongo
:
Machine Learning Based Crackle Detection
2017
Bjørn Fjukstad,
Lars Ailo Bongo
:
A Review of Scalable Bioinformatics Pipelines
Data Science and Engineering 2017 DOI
Edvard Pedersen,
Lars Ailo Bongo
:
Big Biological Data Management
Springer 2016 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,
Lars Ailo Bongo,
Masoud Tafavvoghi
:
Cancer detection for white urban Americans
2023 ARKIV
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
Benjamin Ricaud,
Lars Ailo Aslaksen Bongo
:
Pitch day UiT
2023
Benjamin Ricaud,
Lars Ailo Aslaksen Bongo
:
Innovation evening at IFI
2023
Lars Ailo Bongo
:
Innovasjonsprisen 2021
2022
Lars Ailo Bongo
:
Health Data Lab
2022
Lars Ailo Bongo
:
Machine learning on medical images
2022
Lars Ailo Bongo
:
Startups innen AI basert helseteknologi – fra en forskers perspektiv
2022
Lars Ailo Bongo
:
Vurdering av posisjoneringskriterier for screeningmammogrammer med kunstig intelligens (VINN)
2022
Lars Ailo Bongo
:
Founding an AI startup as an AI Researcher
2022
Lars Ailo Aslaksen Bongo
:
Startups innen AI basert helseteknologi – fra en forskers perspektiv
2022
Bjørn-Richard Pedersen,
Trygve Andersen,
Lars Ailo Bongo,
Hilde Leikny Sommerseth
:
What to do with the stubborn 3 percent?
2022
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
Lars Ailo Bongo,
Bjørn-Richard Pedersen,
Einar Holsbø,
Trygve Andersen,
Tim Alexander Teige,
Nikita Shvetsov
m.fl.:
Automated approaches for Transcription of 20th Century Norwegian Census Microdata - Lessons Learned
2021
Dina Benedicte Berg Stensen,
Rafael A. Nozal Cañadas,
Lars Småbrekke,
Karina Olsen,
Christopher Sivert Nielsen,
Kristian Svendsen
m.fl.:
Social network analysis of Staphylococcus aureus carriage in a general youth population
2021
Bjørn Fjukstad,
Nina Angelvik,
Morten Grønnesby,
maria wulff Hauglann,
Hedinn Gunhildrud,
Fredrik Høisæther Rasch
m.fl.:
Teaching Electronics and Programming in Norwegian Schools Using the Air: Bit Sensor Kit
2019
Bjørn Fjukstad,
Nina Angelvik,
maria wulff Hauglann,
Joachim Sveia Knutsen,
Morten Grønnesby,
Hedinn Gunhildrud
m.fl.:
Low-Cost Programmable Air Quality Sensor Kits in Science Education
2018
Inge Alexander Raknes,
Bjørn Fjukstad,
Lars Ailo Aslaksen Bongo
:
nsroot: Minimalist process isolation tool implemented with Linux namespaces
2017
Bjørn Fjukstad,
Vanessa Dumeaux,
Karina Standahl Olsen,
Eiliv Lund,
Michael Hallett,
Lars Ailo Bongo
:
Building Applications For Interactive Data Exploration In Systems Biology
2017
Aleksander Agafonov,
Lars Ailo Bongo,
Inge Alexander Raknes
:
ELIXIR Compute platform
2016 DATA
Lars Ailo Bongo
:
Virtual reality
2016
Lars Ailo Bongo
:
Center for Bioinformatics (SfB)
2016
Lars Ailo Bongo
:
Compute and storage requirements for META-pipe
2016
Lars Ailo Bongo
:
WP6: Marine metagenomics
2016
Lars Ailo Bongo
:
Our cloud usage - and not
2016
Lars Ailo Bongo
:
Machine learning
2016
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Forskningsinteresser
Lab hjemmeside: https://uit-hdl.github.io/
Publikasjoner: https://uit-hdl.github.io/publications.html