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
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
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
Hanna Svennevik,
Steven Hicks,
Michael Riegler,
Trude Storelvmo,
Hugo Lewi Hammer
:
A dataset for predicting cloud cover over Europe
Minh-Quan Vo,
Thu Nguyen,
Michael Riegler,
Hugo Lewi Hammer
:
Efficient Estimation of Generative Models Using Tukey Depth
Algorithms 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
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
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
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
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
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
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
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
Hugo Lewi Hammer,
Michael Riegler,
Håkon Tjelmeland
:
Approximate Bayesian Inference Based on Expected Evaluations
Håvard Horgen Thunold,
Michael Riegler,
Anis Yazidi,
Hugo Lewi Hammer
:
A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering
Sajad Amouei Sheshkal,
Michael Riegler,
Hugo Lewi Hammer
:
ML-Peaks: Chip-seq peak detection pipeline using machine learning techniques
IEEE conference proceedings 2023 ARKIV
Syed Zohaib Hassan,
Saeed Shafiee Sabet,
Michael Alexander Riegler,
Gunn Astrid Baugerud,
Hayley Manalang Ko,
Pegah Salehi
m.fl.:
Enhancing investigative interview training using a child avatar system: a comparative study of interactive environments
Scientific Reports 2023 DOI
Alireza Hossein Zadeh Nik,
Michael Alexander Riegler,
Pål Halvorsen,
Andrea Storås
:
Generation of synthetic tabular healthcare data using generative adversarial networks
Fredrik Fineide,
Andrea Storås,
Michael Alexander Riegler,
Tor Paaske Utheim
:
Predicting Meibomian Gland Dropout and Feature Importance Analysis with Explainable Artificial Intelligence
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
Vajira L B Thambawita,
Andrea Storås,
Steven Hicks,
Pål Halvorsen,
Michael Riegler
:
MLC at HECKTOR 2022: The Effect and Importance of Training Data When Analyzing Cases of Head and Neck Tumors Using Machine Learning
Springer Nature 2023 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
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
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,
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
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
Michael Alexander Riegler,
Vajira Thambawita,
Thu Nguyen,
Steven Alexander Hicks,
Vibeke Telle-Hansen,
Svein Arne Pettersen
m.fl.:
ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset
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
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
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
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
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
Vladimir Monakhov,
Vajira L B Thambawita,
Pål Halvorsen,
Michael Riegler
:
GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos
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
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
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
Siddharth Sareen,
Michael Riegler,
Hilde Reinertsen
:
Hvordan vil kunstig intelligens forme verden de neste ti årene?
26. januar 2023 FULLTEKST
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
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
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Forskningsinteresser
- Machine Learning
- Artifical Intelligence
- Medicine
- Fishery
- Biology
- Social Sciences
- Psychology