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Bilde av Bongo, Lars Ailo
Photo: UiT
Bilde av Bongo, Lars Ailo
Department of Computer Science lars.ailo.bongo@uit.no +4777644121 Here you can find me

Lars Ailo Bongo

Professor

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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 et al.:
    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
    F1000 Research 18. January 2018 ARKIV / DOI
  • Edvard Pedersen, Lars Ailo Bongo :
    Large-scale biological meta-database management
    Future generations 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 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
  • 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
  • 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
  • Ove Henrik Kåven, Lars Ailo Bongo :
    MORTAL - Multiparadigm Optimizing Retargetable Transdisciplinary Abstraction Language
    NIKT: Norsk IKT-konferanse for forskning og utdanning 2015
  • 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
  • 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
  • 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
  • Bjørn-Richard Pedersen, Trygve Andersen, Lars Ailo Bongo, Hilde Leikny Sommerseth :
    What to do with the stubborn 3 percent?
    2022
  • 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
  • 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
  • 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
  • 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
  • Lars Ailo Bongo :
    META-pipe: marine metagenomics service
    2016
  • Lars Ailo Bongo :
    NELS - Overview and recent developments
    2016
  • Ove Henrik Kåven, Lars Ailo Bongo :
    MORTAL - Multiparadigm Optimizing Retargetable Transdisciplinary Abstraction Language
    2015
  • Edvard Pedersen, Inge Alexander Raknes, Martin Ernstsen, Lars Ailo Bongo :
    Integrating Data-Intensive Computing Systems with Biological Data Analysis Frameworks
    2015

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