Bilde av Bongo, Lars Ailo
Photo: UiT

Lars Ailo Bongo


Professor


  • 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
    Scientific Reports 2024 DOI
  • 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
    Historical Life Course Studies 2024 DOI
  • 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”
    Exploratory Research in Clinical and Social Pharmacy (ERCSP) 2024 DOI
  • 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 DOI
  • 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
    PLOS ONE 15. May 2024 DOI
  • 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
    Frontiers in Cardiovascular Medicine 2023 ARKIV / DOI
  • 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
    Digital Humanities in the Nordic and Baltic Countries Publications (DHNB Publications) 2023 DOI
  • 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
    International Journal of Infectious Diseases 2022 ARKIV / FULLTEKST / DOI
  • 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
    Cancers 2022 ARKIV / DOI
  • 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
    Historical Life Course Studies 06. January 2022 ARKIV / DATA / DOI
  • Einar Holsbø, Vittorio Perduca, Lars Ailo Bongo, Eiliv Lund, Etienne Birmelé :
    Predicting breast cancer metastasis from whole-blood transcriptomic measurements
    BMC Research Notes 2020 ARKIV / DOI
  • Bjørn Fjukstad, Nikita Shvetsov, Therese Haugdahl Nøst, Hege Marie Bøvelstad, Till Halbach, Einar Holsbø et al.:
    Reproducible Data Management and Analysis using R
    Universitetsforlaget 2020 ARKIV / DOI
  • Jo Inge Arnes, Lars Ailo Bongo :
    The Beauty of Complex Designs
    Universitetsforlaget 2020 ARKIV
  • 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
    Sensors 2019 ARKIV / DOI
  • 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 ARKIV / DOI
  • 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
    Association for Computing Machinery (ACM) 2019 DOI
  • Aleksander Agafonov, Kimmo Mattila, Cuong Duong Tuan, Lars Tiede, Inge Alexander Raknes, Lars Ailo Aslaksen Bongo :
    META-pipe cloud setup and execution
    F1000 Research 18. January 2018 ARKIV / DOI
  • Kidane M Tekle, Sveinung Gundersen, Kjetil Klepper, Lars Ailo Bongo, Inge Alexander Raknes, Xiaxi Li et al.:
    Norwegian e-Infrastructure for Life Sciences (NeLS)
    F1000 Research 2018 ARKIV / DOI
  • 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
    ACM Publications 2018 ARKIV / DOI
  • Lars Ailo Bongo, Inge Alexander Raknes :
    META-pipe Authorization service
    F1000 2018 DOI
  • Inge Alexander Raknes, Bjørn Fjukstad, Lars Ailo Aslaksen Bongo :
    nsroot: Minimalist process isolation tool implemented with Linux namespaces
    NIKT: Norsk IKT-konferanse for forskning og utdanning 2017 FULLTEKST / ARKIV
  • 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
  • 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
  • Petra ten Hoopen, Robert D. Finn, Lars Ailo Bongo, Erwan Corre, Bruno Fosso, Folker Meyer et al.:
    The metagenomic data life-cycle: standards and best practices.
    GigaScience 2017 ARKIV / DOI
  • Vanessa Dumeaux, Bjørn Fjukstad, Hans Erikssønn Fjøsne, Jan Ole Frantzen, Marit Muri Holmen, Enno Rodegerdts et al.:
    Interactions between the tumor and the blood systemic response of breast cancer patients
    PLoS Computational Biology 2017 DOI
  • Jill Walker Rettberg, Lars Ailo Aslaksen Bongo :
    Dette mener KI er samisk
    21. February 2024 FULLTEKST
  • Benjamin Ricaud, Lars Ailo Aslaksen Bongo :
    Pitch day UiT
    2023
  • 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
  • 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
    2023
  • Kajsa Møllersen, Lars Ailo Bongo, Masoud Tafavvoghi :
    Cancer detection for white urban Americans
    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
  • 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
  • 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
  • Benjamin Ricaud, Lars Ailo Aslaksen Bongo :
    Innovation evening at IFI
    2023
  • Bjørn-Richard Pedersen, Trygve Andersen, Lars Ailo Bongo, Hilde Leikny Sommerseth :
    What to do with the stubborn 3 percent?
    2022
  • Lars Ailo Bongo :
    Innovasjonsprisen 2021
    2022
  • Lars Ailo Bongo :
    Machine learning on medical images
    2022
  • Lars Ailo Bongo :
    Health Data Lab
    2022
  • Lars Ailo Bongo :
    Startups innen AI basert helseteknologi – fra en forskers perspektiv
    2022
  • Lars Ailo Bongo :
    Founding an AI startup as an AI Researcher
    2022
  • Lars Ailo Bongo :
    Vurdering av posisjoneringskriterier for screeningmammogrammer med kunstig intelligens (VINN)
    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 Aslaksen Bongo :
    Startups innen AI basert helseteknologi – fra en forskers perspektiv
    2022
  • 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
  • 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
  • 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
  • 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
  • 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

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