Sharib Ali,
Noha Ghatwary,
Debesh Jha,
Ece Isik-Polat,
Gorkem Polat,
Cheng Yang
et al.:
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
Scientific Reports 2024
DOI
Ayan Chatterjee,
Martin Gerdes,
Andreas Prinz,
Michael Riegler,
Santiago Martinez
:
Semantic representation and comparative analysis of physical activity sensor observations using MOX2-5 sensor in real and synthetic datasets: a proof-of-concept-study
Scientific Reports 2024
DOI
Annika Reinke,
Minu D. Tizabi,
Michael Baumgartner,
Matthias Eisenmann,
Doreen Heckmann-Nötzel,
A. Emre Kavur
et al.:
Understanding metric-related pitfalls in image analysis validation
Lena Maier-Hein,
Annika Reinke,
Patrick Godau,
Minu D. Tizabi,
Florian Buettner,
Evangelia Christodoulou
et al.:
Metrics reloaded: recommendations for image analysis validation
Cise Midoglu,
Andreas Kjæreng Winther,
Matthias Boeker,
Susann Dahl Pettersen,
Sigurd Pettersen,
Nourhan Ragab
et al.:
A large-scale multivariate soccer athlete health, performance, and position monitoring dataset
Pegah Salehi,
Syed Zohaib Hassan,
Gunn Astrid Baugerud,
Martine Powell,
Cayetana López Cano,
Miriam S. Johnson
et al.:
Immersive Virtual Reality in Child Skills Interview Training: A Comparison of 2D And 3D environment
Association for Computing Machinery (ACM) 2024
DOI
Minh-Quan Vo,
Thu Nguyen,
Michael Riegler,
Hugo Lewi Hammer
:
Efficient Estimation of Generative Models Using Tukey Depth
Hanna Svennevik,
Steven Hicks,
Michael Riegler,
Trude Storelvmo,
Hugo Lewi Hammer
:
A dataset for predicting cloud cover over Europe
Sravanthi Parasa,
Tyler Berzin,
Cadman Leggett,
Seth Gross,
Alessandro Repici,
Omer F. Ahmad
et al.:
Consensus statements on the current landscape of artificial intelligence applications in endoscopy, addressing roadblocks, and advancing artificial intelligence in gastroenterology
Gastrointestinal Endoscopy 2024
DOI
Birk Sebastian Frostelid Torpmann-Hagen,
Michael Riegler,
Pål Halvorsen,
Dag Johansen
:
A Robust Framework for Distributional Shift Detection Under Sample-Bias
Steven Hicks,
Andrea Storås,
Michael Riegler,
Cise Midoglu,
Malek Hammou,
Thomas de Lange
et al.:
Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations
Phuc-Thinh Nguyen,
Minh-Son Dao,
Michael Alexander Riegler,
Rage Uday Kiran,
Thai-Thinh Dang,
Duy-Dong Le
et al.:
Training Performance Indications for Amateur Athletes Based on Nutrition and Activity Lifelogs
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
et al.:
A multi-centre polyp detection and segmentation dataset for generalisability assessment
Vladimir Monakhov,
Vajira L B Thambawita,
Pål Halvorsen,
Michael Riegler
:
GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos
Andrea Storås,
Michael Alexander Riegler,
Trine B. Haugen,
Vajira L B Thambawita,
Steven Hicks,
Hugo Lewi Hammer
et al.:
Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure
Michael Alexander Riegler,
Vajira Thambawita,
Thu Nguyen,
Steven Alexander Hicks,
Vibeke Telle-Hansen,
Svein Arne Pettersen
et al.:
ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset
Lecture Notes in Computer Science (LNCS) 2023
ARKIV /
DOI
Ragnhild Klingenberg Røed,
Gunn Astrid Baugerud,
Syed Zohaib Hassan,
Saeed Shafiee Sabet,
Pegah Salehi,
Martine B. Powell
et al.:
Enhancing questioning skills through child avatar chatbot training with feedback
Frontiers in Psychology 2023
ARKIV /
DOI
Pia Helen Smedsrud,
Håvard Espeland,
Tor Jan Berstad,
Andreas Petlund,
Thomas de Lange,
Michael Riegler
et al.:
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
Andrea Storås,
Ole Emil Andersen,
Sam Lockhart,
Roman Thielemann,
Filip Gnesin,
Vajira L B Thambawita
et al.:
Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis
Thu Nguyen,
Hoang Thien Ly,
Michael Alexander Riegler,
Pål Halvorsen,
Hugo Lewi Hammer
:
Principal Components Analysis Based Frameworks for Efficient Missing Data Imputation Algorithms
Vajira L B Thambawita,
Steven Hicks,
Andrea Storås,
Thu Nguyen,
Jorunn Marie Andersen,
Oliwia Witczak
et al.:
VISEM-Tracking, a human spermatozoa tracking dataset
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
Debesh Jha,
Vanshali Sharma,
Neethi Dash,
Nikhil Kumar Tomar,
Steven A. Hicks,
M.K. Bhuyan
et al.:
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection
Andrea Storås,
Morten Schjerven Magnø,
Fredrik Fineide,
Bernd Thiede,
Xiangjun Chen,
Inga Strumke
et al.:
Identifying Important Proteins in Meibomian Gland Dysfunction with Explainable Artificial Intelligence
IEEE International Symposium on Computer-Based Medical Systems 2023
ARKIV /
DOI
Amani al Outa,
Steven Hicks,
Vajira L B Thambawita,
Siri Andresen,
Jorrit Martijn Enserink,
Pål Halvorsen
et al.:
CELLULAR, A Cell Autophagy Imaging Dataset
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
Thu Nguyen,
Andrea Storås,
Vajira L B Thambawita,
Steven Hicks,
Pål Halvorsen,
Michael Alexander Riegler
:
Multimedia Datasets: Challenges and Future Possibilities
Syed Zohaib Hassan,
Saeed Shafiee Sabet,
Michael Alexander Riegler,
Gunn Astrid Baugerud,
Hayley Manalang Ko,
Pegah Salehi
et al.:
Enhancing investigative interview training using a child avatar system: a comparative study of interactive environments
Scientific Reports 2023
DOI
Arild Skarsfjord Berg,
Safora Johansen,
Anne Lund,
Michael Riegler,
Jorunn Marie Andersen
:
A Salutogenic Approach for Collaboration in Health and Technology
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
Matthias Boeker,
Petter Jakobsen,
Michael Riegler,
Lena Antonsen Stabell,
Ole Bernt Fasmer,
Pål Halvorsen
et al.:
Affect Recognition in Muscular Response Signals
Bogdan Ionescu,
Henning Müller,
ANA-MARIA DRĂGULINESCU,
Adrian Popescu,
Ahmad Idrissi-Yaghir,
Alba García Seco de Herrera
et al.:
ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications
Roman Machacek,
Leila Mozaffari,
Zahra Sepasdar,
Sravanthi Parasa,
Pål Halvorsen,
Michael Riegler
et al.:
Mask-conditioned latent diffusion for generating gastrointestinal polyp images
Association for Computing Machinery (ACM) 2023
DOI
Andrea Storås,
Fredrik Fineide,
Morten Schjerven Magnø,
Bernd Thiede,
Xiangjun Chen,
Inga Strumke
et al.:
Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction
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
Siddharth Sareen,
Michael Riegler,
Hilde Reinertsen
:
Hvordan vil kunstig intelligens forme verden de neste ti årene?
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
Vajira L B Thambawita,
Steven Hicks,
Andrea Storås,
Jorunn Marie Andersen,
Oliwia Witczak,
Trine B. Haugen
et al.:
Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa
Fredrik Fineide,
Andrea Storås,
Morten Schjerven Magnø,
Hugo Lewi Hammer,
Xiangjun Chen,
Ayyad Ahmad Zartasht Khan
et al.:
Predicting the degree of meibomian gland dropout with artificial intelligence
Investigative Ophthalmology and Visual Science 2023
Andrea Storås,
Fredrik Fineide,
Hugo Lewi Hammer,
Ayyad Ahmad Zartasht Khan,
Morten Schjerven Magnø,
Xiangjun Chen
et al.:
Using explainable artificial intelligence (XAI) to explore factors affecting meibomian gland (MG) dropout
Investigative Ophthalmology and Visual Science 2023
Vajira Thambawita,
Steven A. Hicks,
Andrea Storås,
Jorunn Marie Andersen,
Oliwia Witczak,
Thu Nguyen
et al.:
Medico multimedia task at MedialEval: transparent tracking of spermatozoa
2023
Michael Alexander Riegler,
Hilde Reinertsen,
Siddharth Sareen
:
Hvordan vil kunstig intelligens forme verden de neste ti årene?
Morgenbladet 2023
Michael Riegler
:
Automatic Tracking of the ICSI procedure using Deep Learning
2023
Michael Riegler
:
Sperm-tracking, use of a human sperm dataset
2023
Michael Riegler
:
KI og kunstig befruktning
07. December 2023