Bilde av Riegler, Michael Alexander
Bilde av Riegler, Michael Alexander
Institutt for informatikk michael.a.riegler@uit.no

Michael Alexander Riegler


Førsteamanuensis


  • Sharib Ali, Noha Ghatwary, Debesh Jha, Ece Isik-Polat, Gorkem Polat, Cheng Yang m.fl.:
    Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
    Scientific Reports 2024 DOI
  • Annika Reinke, Minu D. Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur m.fl.:
    Understanding metric-related pitfalls in image analysis validation
    Nature Methods 2024 DOI
  • Minh-Quan Vo, Thu Nguyen, Michael Riegler, Hugo Lewi Hammer :
    Efficient Estimation of Generative Models Using Tukey Depth
    Algorithms 2024
  • Lena Maier-Hein, Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou m.fl.:
    Metrics reloaded: recommendations for image analysis validation
    Nature Methods 2024 DOI
  • Hanna Svennevik, Steven Hicks, Michael Riegler, Trude Storelvmo, Hugo Lewi Hammer :
    A dataset for predicting cloud cover over Europe
    Scientific Data 2024 DOI
  • Thu Nguyen, Hoang Thien Ly, Michael Alexander Riegler, Pål Halvorsen, Hugo Lewi Hammer :
    Principal Components Analysis Based Frameworks for Efficient Missing Data Imputation Algorithms
    Springer 2023 DOI
  • Bogdan Ionescu, Henning Müller, ANA-MARIA DRĂGULINESCU, Adrian Popescu, Ahmad Idrissi-Yaghir, Alba García Seco de Herrera m.fl.:
    ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications
    Springer 2023 DOI
  • Vladimir Monakhov, Vajira L B Thambawita, Pål Halvorsen, Michael Riegler :
    GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos
    Sensors 13. februar 2023 ARKIV / DOI
  • Michael Alexander Riegler, Vajira Thambawita, Ayan Chatterjee, Thu Nguyen, Steven Hicks, Vibeke Telle-Hansen m.fl.:
    ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset
    Springer 2023 ARKIV / DOI
  • Pia Helen Smedsrud, Håvard Espeland, Tor Jan Berstad, Andreas Petlund, Thomas de Lange, Michael Riegler m.fl.:
    Man vs. AI: An in silico study of polyp detection performance
    IEEE conference proceedings 2023 DOI
  • Tor-Arne Schmidt Nordmo, Aril Bernhard Ovesen, Håvard Dagenborg, Pål Halvorsen, Michael Alexander Riegler, Dag Johansen :
    Fishing Trawler Event Detection: An Important Step Towards Digitization of Sustainable Fishing
    IEEE conference proceedings 2023 ARKIV / DOI
  • Trine B. Haugen, Oliwia Witczak, Steven Hicks, Lars Björndahl, Jorunn Marie Andersen, Michael Riegler :
    Sperm motility assessed by deep convolutional neural networks into WHO categories
    Scientific Reports 2023 DOI
  • Tor-Arne Schmidt Nordmo, Michael Riegler, Håvard Johansen Dagenborg, Dag Johansen :
    Arctic HARE: A Machine Learning-Based System for Performance Analysis of Cross-Country Skiers
    Springer 2023 ARKIV / DOI
  • Andrea Storås, Michael Alexander Riegler, Trine B. Haugen, Vajira L B Thambawita, Steven Hicks, Hugo Lewi Hammer m.fl.:
    Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure
    Springer Nature 2023 ARKIV / DOI
  • Catharina Sofie Rodenburg Drejer, Michael Riegler, Pål Halvorsen, Miriam S. Johnson, Gunn Astrid Baugerud :
    Livestreaming Technology and Online Child Sexual Exploitation and Abuse: A Scoping Review
    Trauma, Violence, & Abuse 2023 ARKIV / DOI
  • Sharib Ali, Debesh Jha, Noha Ghatwary, Stefano Realdon, Renato Cannizzaro, Osama E. Salem m.fl.:
    A multi-centre polyp detection and segmentation dataset for generalisability assessment
    Scientific Data 2023 ARKIV / DOI
  • Matthias Boeker, Petter Jakobsen, Michael Riegler, Lena Antonsen Stabell, Ole Bernt Fasmer, Pål Halvorsen m.fl.:
    Affect Recognition in Muscular Response Signals
    IEEE Access 2023 DOI
  • Andrea Storås, Ole Emil Andersen, Sam Lockhart, Roman Thielemann, Filip Gnesin, Vajira L B Thambawita m.fl.:
    Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis
    Diagnostics (Basel) 2023 ARKIV / DOI
  • Akriti Sharma, Ayaz Z. Ansari, Radhika Kakulavarapu, Mette Haug Stensen, Michael Riegler, Hugo Lewi Hammer :
    Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos
    Big Data and Cognitive Computing 2023 DOI
  • Ragnhild Klingenberg Røed, Gunn Astrid Baugerud, Syed Zohaib Hassan, Saeed Shafiee Sabet, Pegah Salehi, Martine B. Powell m.fl.:
    Enhancing questioning skills through child avatar chatbot training with feedback
    Frontiers in Psychology 2023 ARKIV / DOI
  • Ayan Chatterjee, Andreas Prinz, Michael Riegler, Jishnu Das :
    A systematic review and knowledge mapping on ICT-based remote and automatic COVID-19 patient monitoring and care
    BMC Health Services Research 2023 ARKIV / DOI
  • Håvard Horgen Thunold, Michael Riegler, Anis Yazidi, Hugo Lewi Hammer :
    A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering
    Diagnostics (Basel) 2023 ARKIV / DOI
  • Arild Skarsfjord Berg, Safora Johansen, Anne Lund, Michael Riegler, Jorunn Marie Andersen :
    A Salutogenic Approach for Collaboration in Health and Technology
    IntechOpen 2023 FULLTEKST / DOI
  • Amani al Outa, Steven Hicks, Vajira L B Thambawita, Siri Andresen, Jorrit Martijn Enserink, Pål Halvorsen m.fl.:
    CELLULAR, A Cell Autophagy Imaging Dataset
    Scientific Data 2023 ARKIV / DOI
  • Debesh Jha, Vanshali Sharma, Neethi Dash, Nikhil Kumar Tomar, Steven A. Hicks, M.K. Bhuyan m.fl.:
    GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection
    Springer 2023 DATA / DOI
  • Fredrik Fineide, Andrea Storås, Michael Alexander Riegler, Tor Paaske Utheim :
    Predicting Meibomian Gland Dropout and Feature Importance Analysis with Explainable Artificial Intelligence
    IEEE International Symposium on Computer-Based Medical Systems 2023 ARKIV / DOI
  • Alireza Hossein Zadeh Nik, Michael Alexander Riegler, Pål Halvorsen, Andrea Storås :
    Generation of synthetic tabular healthcare data using generative adversarial networks
    Springer 2023 ARKIV / DOI
  • Thu Nguyen, Andrea Storås, Vajira L B Thambawita, Steven Hicks, Pål Halvorsen, Michael Alexander Riegler :
    Multimedia Datasets: Challenges and Future Possibilities
    Springer 2023 DOI
  • Andrea Storås, Morten Schjerven Magnø, Fredrik Fineide, Bernd Thiede, Xiangjun Chen, Inga Strumke m.fl.:
    Identifying Important Proteins in Meibomian Gland Dysfunction with Explainable Artificial Intelligence
    IEEE International Symposium on Computer-Based Medical Systems 2023 ARKIV / DOI
  • Andrea Storås, Fredrik Fineide, Morten Schjerven Magnø, Bernd Thiede, Xiangjun Chen, Inga Strumke m.fl.:
    Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction
    Scientific Reports 2023 ARKIV / DOI
  • Ayan Chatterjee, Nibedita Pahari, Andreas Prinz, Michael Alexander Riegler :
    AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach
    BMC Medical Informatics and Decision Making 2023 ARKIV / DOI
  • Vajira L B Thambawita, Steven Hicks, Andrea Storås, Thu Nguyen, Jorunn Marie Andersen, Oliwia Witczak m.fl.:
    VISEM-Tracking, a human spermatozoa tracking dataset
    Scientific Data 2023 DOI
  • Vajira L B Thambawita, Steven Hicks, Andrea Storås, Jorunn Marie Andersen, Oliwia Witczak, Trine B. Haugen m.fl.:
    Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa
    CEUR Workshop Proceedings 2023 FULLTEKST
  • Roman Machacek, Leila Mozaffari, Zahra Sepasdar, Sravanthi Parasa, Pål Halvorsen, Michael Riegler m.fl.:
    Mask-conditioned latent diffusion for generating gastrointestinal polyp images
    Association for Computing Machinery (ACM) 2023 DOI
  • Sajad Amouei Sheshkal, Michael Riegler, Hugo Lewi Hammer :
    ML-Peaks: Chip-seq peak detection pipeline using machine learning techniques
    IEEE conference proceedings 2023 ARKIV
  • Duc Tien Dang Nguyen, Sohail Ahmed Khan, Cise Midoglu, Michael Riegler, Pål Halvorsen, Minh-Son Dao :
    Grand Challenge On Detecting Cheapfakes
    IEEE conference proceedings 2023
  • Guillaume Habault, Minh-Son Dao, Michael Riegler, Duc Tien Dang Nguyen, Yuta Nakashima, Cathal Gurrin :
    ICDAR’23: Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval
    Association for Computing Machinery (ACM) 2023
  • Phuc-Thinh Nguyen, Minh-Son Dao, Michael Alexander Riegler, Rage Uday Kiran, Thai-Thinh Dang, Duy-Dong Le m.fl.:
    Training Performance Indications for Amateur Athletes Based on Nutrition and Activity Lifelogs
    Algorithms 2023 DOI
  • Siddharth Sareen, Michael Riegler, Hilde Reinertsen :
    Hvordan vil kunstig intelligens forme verden de neste ti årene?
    26. januar 2023 FULLTEKST
  • Michael Alexander Riegler, Vajira Thambawita, Thu Nguyen, Steven Alexander Hicks, Svein Arne Pettersen, Dag Johansen m.fl.:
    ScopeSense: An 8.5-month sport, nutrition, and lifestyle lifelogging dataset
    OSF Preprints 2023 DOI
  • Ayan Chatterjee, Nibedita Pahari, Andreas Prinz, Michael Riegler :
    Author Correction: Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation (Scientific Reports, (2022), 12, 1, (19825), 10.1038/s41598-022-24118-4)
    Scientific Reports 2023 DOI
  • Guillaume Habault, Minh-Son Dao, Michael Riegler, Duc Tien Dang Nguyen, Yuta Nakashima, Cathal Gurrin :
    ICDAR’23: Intelligent Cross-Data Analysis and Retrieval
    Association for Computing Machinery (ACM) 2023 DOI
  • Michael Riegler, Pierre Lison, Ingrid Lossius Falkum :
    Kunstig intelligens-modeller er ikke miniatyr­versjoner av den menneskelige hjernen
    Forskersonen.no 21. april 2023
  • Vajira Thambawita, Steven A. Hicks, Andrea Storås, Jorunn Marie Andersen, Oliwia Witczak, Thu Nguyen m.fl.:
    Medico multimedia task at MedialEval: transparent tracking of spermatozoa
    2023
  • Michael Riegler :
    KI og kunstig befruktning
    07. desember 2023
  • Michael Riegler :
    Sperm-tracking, use of a human sperm dataset
    2023
  • Michael Riegler :
    Automatic Tracking of the ICSI procedure using Deep Learning
    2023
  • Michael Alexander Riegler, Hilde Reinertsen, Siddharth Sareen :
    Hvordan vil kunstig intelligens forme verden de neste ti årene?
    Morgenbladet 2023
  • Andrea Storås, Fredrik Fineide, Hugo Lewi Hammer, Ayyad Ahmad Zartasht Khan, Morten Schjerven Magnø, Xiangjun Chen m.fl.:
    Using explainable artificial intelligence (XAI) to explore factors affecting meibomian gland (MG) dropout
    Investigative Ophthalmology and Visual Science 2023
  • Fredrik Fineide, Andrea Storås, Morten Schjerven Magnø, Hugo Lewi Hammer, Xiangjun Chen, Ayyad Ahmad Zartasht Khan m.fl.:
    Predicting the degree of meibomian gland dropout with artificial intelligence
    Investigative Ophthalmology and Visual Science 2023

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    Forskningsinteresser

    • Machine Learning
    • Artifical Intelligence
    • Medicine
    • Fishery
    • Biology
    • Social Sciences
    • Psychology

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