Michael A. Riegler

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 132

Top Venues

Publications

Tuan L. Vo, Thu Nguyen, Hugo L. Hammer, Michael A. Riegler, Pål Halvorsen
Explainability of Machine Learning Models under Missing Data. CoRR (2024)
Faiga Alawad, Pål Halvorsen, Michael A. Riegler
E2Evideo: End to End Video and Image Pre-processing and Analysis Tool. MMM (4) (2024)
Sushant Gautam, Mehdi Houshmand Sarkhoosh, Jan Held, Cise Midoglu, Anthony Cioppa, Silvio Giancola, Vajira Thambawita, Michael A. Riegler, Pål Halvorsen, Mubarak Shah
SoccerNet-Echoes: A Soccer Game Audio Commentary Dataset. CoRR (2024)
Pegah Salehi, Syed Zohaib Hassan, Gunn Astrid Baugerud, Martine B. Powell, M. Cayetana López Cano, Miriam S. Johnson, Ragnhild Klingenberg Røed, Dag Johansen, Saeed Shafiee Sabet, Michael A. Riegler, Pål Halvorsen
Immersive Virtual Reality in Child Interview Skills Training: A Comparison of 2D and 3D Environments. MMVE@MMSys (2024)
Nhat-Hao Pham, Khanh-Linh Vo, Mai Anh Vu, Thu Nguyen, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen
Correlation Visualization Under Missing Values: A Comparison Between Imputation and Direct Parameter Estimation Methods. MMM (4) (2024)
Rabindra Khadka, Pedro G. Lind, Gustavo B. M. Mello, Michael A. Riegler, Anis Yazidi
Inducing Inductive Bias in Vision Transformer for EEG Classification. ICASSP (2024)
Mehdi Houshmand Sarkhoosh, Sayed Mohammad Majidi Dorcheh, Cise Midoglu, Saeed Shafiee Sabet, Tomas Kupka, Dag Johansen, Michael A. Riegler, Pål Halvorsen
AI-Based Cropping of Soccer Videos for Different Social Media Representations. MMM (4) (2024)
Bogdan Ionescu, Henning Müller, Ana-Maria Claudia Dragulinescu, Ahmad Idrissi-Yaghir, Ahmedkhan Radzhabov, Alba Garcia Seco de Herrera, Alexandra Andrei, Alexandru Stan, Andrea M. Storås, Asma Ben Abacha, Benjamin Lecouteux, Benno Stein, Cécile Macaire, Christoph M. Friedrich, Cynthia S. Schmidt, Didier Schwab, Emmanuelle Esperança-Rodier, George Ioannidis, Griffin Adams, Henning Schäfer, Hugo Manguinhas, Ioan Coman, Johanna Schöler, Johannes Kiesel, Johannes Rückert, Louise Bloch, Martin Potthast, Maximilian Heinrich, Meliha Yetisgen, Michael A. Riegler, Neal Snider, Pål Halvorsen, Raphael Brüngel, Steven Alexander Hicks, Vajira Thambawita, Vassili Kovalev, Yuri Prokopchuk, Wen-wai Yim
Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024. ECIR (6) (2024)
Minh-Quan Vo, Thu Nguyen, Michael A. Riegler, Hugo Lewi Hammer
Efficient Estimation of Generative Models Using Tukey Depth. Algorithms 17 (3) (2024)
Ahlam Fuad, Azza H. Ahmed, Michael A. Riegler, Tarik Cicic
An Intent-based Networks Framework based on Large Language Models. NetSoft (2024)
Bogdan Ionescu, Henning Müller, Ana-Maria Dragulinescu, Wen-wai Yim, Asma Ben Abacha, Neal Snider, Griffin Adams, Meliha Yetisgen, Johannes Rückert, Alba García Seco de Herrera, Christoph M. Friedrich, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Steven Alexander Hicks, Michael A. Riegler, Vajira Thambawita, Andrea M. Storås, Pål Halvorsen, Nikolaos Papachrysos, Johanna Schöler, Debesh Jha, Alexandra-Georgiana Andrei, Ioan Coman, Vassili Kovalev, Ahmedkhan Radzhabov, Yuri Prokopchuk, Liviu-Daniel Stefan, Mihai Gabriel Constantin, Mihai Dogariu, Jérôme Deshayes, Adrian Popescu
Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet Applications. CLEF (2023)
Phuc-Thinh Nguyen, Minh-Son Dao, Michael A. Riegler, Rage Uday Kiran, Thai-Thinh Dang, Duy-Dong Le, Kieu-Chinh Nguyen-Ly, Thanh-Qui Pham, Van-Luong Nguyen
Training Performance Indications for Amateur Athletes Based on Nutrition and Activity Lifelogs. Algorithms 16 (1) (2023)
Matthias Boeker, Hugo Lewi Hammer, Michael A. Riegler, Pål Halvorsen, Petter Jakobsen
Prediction of schizophrenia from activity data using hidden Markov model parameters. Neural Comput. Appl. 35 (8) (2023)
Akriti Sharma, Ayaz Z. Ansari, Radhika Kakulavarapu, Mette H. Stensen, Michael A. Riegler, Hugo Lewi Hammer
Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos. Big Data Cogn. Comput. 7 (2) (2023)
Andrea M. Storås, Morten Magnø, Fredrik A. Fineide, Bernd Thiede, Xiangjun Chen, Inga Strümke, Pål Halvorsen, Tor P. Utheim, Michael A. Riegler
Identifying Important Proteins in Meibomian Gland Dysfunction with Explainable Artificial Intelligence. CBMS (2023)
Michael A. Riegler, Vajira Thambawita, Ayan Chatterjee, Binh T. Nguyen, Steven Alexander Hicks, Vibeke Telle-Hansen, Svein Arne Pettersen, Dag Johansen, Ramesh C. Jain, Pål Halvorsen
ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset. MMM (1) (2023)
Tu T. Do, Mai Anh Vu, Hoang Thien Ly, Thu Nguyen, Steven Alexander Hicks, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen
Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction. CoRR (2023)
Roman Machácek, Leila Mozaffari, Zahra Sepasdar, Sravanthi Parasa, Pål Halvorsen, Michael A. Riegler, Vajira Thambawita
Mask-conditioned latent diffusion for generating gastrointestinal polyp images. ICDAR@ICMR (2023)
Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler
Combining datasets to improve model fitting. IJCNN (2023)
Nhat-Hao Pham, Khanh-Linh Vo, Mai Anh Vu, Thu Nguyen, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen
Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods. CoRR (2023)
Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein
Understanding metric-related pitfalls in image analysis validation. CoRR (2023)
Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Pia Helen Smedsrud, Håvard Espeland, Tor Jan Derek Berstad, Andreas Petlund, Thomas de Lange, Michael A. Riegler, Pål Halvorsen
Man vs. AI: An in silico study of polyp detection performance. CBMS (2023)
Debesh Jha, Vanshali Sharma, Neethi Dasu, Nikhil Kumar Tomar, Steven Hicks, Manas Kamal Bhuyan, Pradip K. Das, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Ulas Bagci
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. CoRR (2023)
Thu Nguyen, Pål Halvorsen, Michael A. Riegler
Imputation using training labels and classification via label imputation. CoRR (2023)
Debesh Jha, Vanshali Sharma, Neethi Dasu, Nikhil Kumar Tomar, Steven Hicks, Manas Kamal Bhuyan, Pradip K. Das, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. ML4MHD (2023)
Matthias Boeker, Petter Jakobsen, Michael A. Riegler, Lena Antonsen Stabell, Ole Bernt Fasmer, Pål Halvorsen, Hugo Lewi Hammer
Affect Recognition in Muscular Response Signals. IEEE Access 11 (2023)
Tor-Arne S. Nordmo, Michael A. Riegler, Håvard D. Johansen, Dag Johansen
Arctic HARE: A Machine Learning-Based System for Performance Analysis of Cross-Country Skiers. MMM (1) (2023)
Mai Anh Vu, Thu Nguyen, Tu T. Do, Nhan Phan, Pål Halvorsen, Michael A. Riegler, Binh T. Nguyen
Conditional expectation for missing data imputation. CoRR (2023)
Roman Machácek, Leila Mozaffari, Zahra Sepasdar, Sravanthi Parasa, Pål Halvorsen, Michael A. Riegler, Vajira Thambawita
Mask-conditioned latent diffusion for generating gastrointestinal polyp images. CoRR (2023)
Bogdan Ionescu, Henning Müller, Ana-Maria Claudia Dragulinescu, Adrian Popescu, Ahmad Idrissi-Yaghir, Alba García Seco de Herrera, Alexandra Andrei, Alexandru Stan, Andrea M. Storås, Asma Ben Abacha, Christoph M. Friedrich, George Ioannidis, Griffin Adams, Henning Schäfer, Hugo Manguinhas, Ihar Filipovich, Ioan Coman, Jérôme Deshayes, Johanna Schöler, Johannes Rückert, Liviu-Daniel Stefan, Louise Bloch, Meliha Yetisgen, Michael A. Riegler, Mihai Dogariu, Mihai Gabriel Constantin, Neal Snider, Nikolaos Papachrysos, Pål Halvorsen, Raphael Brüngel, Serge Kozlovski, Steven Hicks, Thomas de Lange, Vajira Thambawita, Vassili Kovalev, Wen-wai Yim
ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. ECIR (3) (2023)
Alireza Hossein Zadeh Nik, Michael A. Riegler, Pål Halvorsen, Andrea M. Storås
Generation of Synthetic Tabular Healthcare Data Using Generative Adversarial Networks. MMM (1) (2023)
Sayed Mohammad Majidi Dorcheh, Mehdi Houshmand Sarkhoosh, Cise Midoglu, Saeed Shafiee Sabet, Tomas Kupka, Michael A. Riegler, Dag Johansen, Pål Halvorsen
SmartCrop: AI-Based Cropping of Soccer Videos. ISM (2023)
Debesh Jha, Vanshali Sharma, Debapriya Banik, Debayan Bhattacharya, Kaushiki Roy, Steven Alexander Hicks, Nikhil Kumar Tomar, Vajira Thambawita, Adrian Krenzer, Ge-Peng Ji, Sahadev Poudel, George Batchkala, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. CoRR (2023)
Fredrik A. Fineide, Andrea M. Storås, Michael A. Riegler, Tor Paaske Utheim
Predicting Meibomian Gland Dropout and Feature Importance Analysis with Explainable Artificial Intelligence. CBMS (2023)
Thu Nguyen, Andrea M. Storås, Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler
Multimedia Datasets: Challenges and Future Possibilities. MMM (2) (2023)
Hugo Lewi Hammer, Anis Yazidi, Michael A. Riegler, Håvard Rue
Efficient quantile tracking using an oracle. Appl. Intell. 53 (1) (2023)
Vladimir Monakhov, Vajira Thambawita, Pål Halvorsen, Michael A. Riegler
GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos. Sensors 23 (4) (2023)
Vajira Thambawita, Andrea M. Storås, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler
MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine Learning. CoRR (2022)
Siri S. Eide, Michael A. Riegler, Hugo Hammer, John Bjørnar Bremnes
Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources. Sensors 22 (7) (2022)
Andreas Husa, Cise Midoglu, Malek Hammou, Steven Alexander Hicks, Dag Johansen, Tomas Kupka, Michael A. Riegler, Pål Halvorsen
Automatic thumbnail selection for soccer videos using machine learning. MMSys (2022)
Sidney Pontes-Filho, Kristoffer Olsen, Anis Yazidi, Michael A. Riegler, Pål Halvorsen, Stefano Nichele
Towards the Neuroevolution of Low-level artificial general intelligence. Future Internet 9 (2022)
Sharib Ali, Noha M. Ghatwary, Debesh Jha, Ece Isik-Polat, Gorkem Polat, Chen Yang, Wuyang Li, Adrian Galdran, Miguel Ángel González Ballester, Vajira Thambawita, Steven Hicks, Sahadev Poudel, Sang-Woong Lee, Ziyi Jin, Tianyuan Gan, ChengHui Yu, Jiangpeng Yan, Doyeob Yeo, Hyunseok Lee, Nikhil Kumar Tomar, Mahmood Haithami, Amr Ahmed, Michael A. Riegler, Christian Daul, Pål Halvorsen, Jens Rittscher, Osama E. Salem, Dominique Lamarque, Renato Cannizzaro, Stefano Realdon, Thomas de Lange, James E. East
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge. CoRR (2022)
Andreas Husa, Cise Midoglu, Malek Hammou, Pål Halvorsen, Michael A. Riegler
HOST-ATS: automatic thumbnail selection with dashboard-controlled ML pipeline and dynamic user survey. MMSys (2022)
Andrea M. Storås, Inga Strümke, Michael A. Riegler, Pål Halvorsen
Explainability methods for machine learning systems for multimodal medical datasets: research proposal. MMSys (2022)
Andrea M. Storås, Anders Åsberg, Pål Halvorsen, Michael A. Riegler, Inga Strümke
Predicting Tacrolimus Exposure in Kidney Transplanted Patients Using Machine Learning. CBMS (2022)
Pegah Salehi, Syed Zohaib Hassan, Saeed Shafiee Sabet, Gunn Astrid Baugerud, Miriam Sinkerud Johnson, Pål Halvorsen, Michael A. Riegler
Is More Realistic Better? A Comparison of Game Engine and GAN-based Avatars for Investigative Interviews of Children. ICDAR@ICMR (2022)
Debesh Jha, Ashish Rauniyar, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen, Ulas Bagci
Video Analytics in Elite Soccer: A Distributed Computing Perspective. SAM (2022)
Jan Andre Fagereng, Vajira Thambawita, Andrea M. Storås, Sravanthi Parasa, Thomas de Lange, Pål Halvorsen, Michael A. Riegler
PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps. CoRR (2022)
Abhishek Srivastava, Debesh Jha, Sukalpa Chanda, Umapada Pal, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Sharib Ali, Pål Halvorsen
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation. IEEE J. Biomed. Health Informatics 26 (5) (2022)
Thu Nguyen, Thanh Nhan Phan, Van Nhuong Nguyen, Thanh-Binh Nguyen, Pål Halvorsen, Michael A. Riegler
Parallel feature selection based on the trace ratio criterion. IJCNN (2022)
Jan Andre Fagereng, Vajira Thambawita, Andrea M. Storås, Sravanthi Parasa, Thomas de Lange, Pål Halvorsen, Michael A. Riegler
PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps. CBMS (2022)
Vladimir Monakhov, Vajira Thambawita, Pål Halvorsen, Michael A. Riegler
Grid HTM: Hierarchical Temporal Memory for Anomaly Detection in Videos. CoRR (2022)
Birk Torpmann-Hagen, Vajira Thambawita, Michael A. Riegler, Pål Halvorsen, Kyrre Glette
Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation. ISM (2022)
Sidney Pontes-Filho, Kristoffer Olsen, Anis Yazidi, Michael A. Riegler, Pål Halvorsen, Stefano Nichele
Towards the Neuroevolution of Low-level Artificial General Intelligence. CoRR (2022)
Rabindra Khadka, Debesh Jha, Steven Hicks, Vajira Thambawita, Michael A. Riegler, Sharib Ali, Pål Halvorsen
Meta-learning with implicit gradients in a few-shot setting for medical image segmentation. Comput. Biol. Medicine 143 (2022)
Andrea M. Storås, Anders Åsberg, Pål Halvorsen, Michael A. Riegler, Inga Strümke
Predicting tacrolimus exposure in kidney transplanted patients using machine learning. CoRR (2022)
Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler
Combining datasets to increase the number of samples and improve model fitting. CoRR (2022)
Akriti Sharma, Mette H. Stensen, Erwan Delbarre, Momin Siddiqui, Trine B. Haugen, Michael A. Riegler, Hugo Lewi Hammer
Detecting Human Embryo Cleavage Stages Using YOLO V5 Object Detection Algorithm. NAIS (2022)
Debesh Jha, Ashish Rauniyar, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen, Ulas Bagci
Video Analytics in Elite Soccer: A Distributed Computing Perspective. CoRR (2022)
Felicia Ly Jacobsen, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler
Estimating Predictive Uncertainty in Gastrointestinal Polyp Segmentation. CBMS (2022)
Azza H. Ahmed, Michael A. Riegler, Steven Alexander Hicks, Ahmed Elmokashfi
RCAD: Real-time Collaborative Anomaly Detection System for Mobile Broadband Networks. KDD (2022)
Tor-Arne S. Nordmo, Martine Mostervik Espeseth, Bjørn Aslak Juliussen, Michael A. Riegler, Dag Johansen
Detection of Commercial Fishing-related Slipping Events using Multimodal Data. ISM (2022)
Birk Torpmann-Hagen, Vajira Thambawita, Kyrre Glette, Pål Halvorsen, Michael A. Riegler
Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation. CoRR (2022)
Vajira Thambawita, Andrea M. Storås, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler
MLC at HECKTOR 2022: The Effect and Importance of Training Data When Analyzing Cases of Head and Neck Tumors Using Machine Learning. HECKTOR@MICCAI (2022)
Pegah Salehi, Syed Zohaib Hassan, Myrthe Lammerse, Saeed Shafiee Sabet, Ingvild Riiser, Ragnhild Klingenberg Røed, Miriam S. Johnson, Vajira Thambawita, Steven Alexander Hicks, Martine B. Powell, Michael E. Lamb, Gunn Astrid Baugerud, Pål Halvorsen, Michael A. Riegler
Synthesizing a Talking Child Avatar to Train Interviewers Working with Maltreated Children. Big Data Cogn. Comput. 6 (2) (2022)
Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR (2022)
Vajira Thambawita, Steven Alexander Hicks, Andrea M. Storås, Thu Nguyen, Jorunn M. Andersen, Oliwia Witczak, Trine B. Haugen, Hugo Lewi Hammer, Pål Halvorsen, Michael A. Riegler
VISEM-Tracking: Human Spermatozoa Tracking Dataset. CoRR (2022)
Wallapak Tavanapong, Jung-Hwan Oh, Michael A. Riegler, Mohammed Khaleel, Bhuvan Mittal, Piet C. de Groen
Artificial Intelligence for Colonoscopy: Past, Present, and Future. IEEE J. Biomed. Health Informatics 26 (8) (2022)
Malek Hammou, Cise Midoglu, Steven Alexander Hicks, Andrea M. Storås, Saeed Shafiee Sabet, Inga Strümke, Michael A. Riegler, Pål Halvorsen
Huldra: a framework for collecting crowdsourced feedback on multimedia assets. MMSys (2022)
Sidney Pontes-Filho, Kristoffer Olsen, Anis Yazidi, Michael A. Riegler, Pål Halvorsen, Stefano Nichele
Towards the Neuroevolution of Low-level artificial general intelligence. Frontiers Robotics AI 9 (2022)
Andrea M. Storås, Michael A. Riegler, Trine B. Haugen, Vajira Thambawita, Steven Alexander Hicks, Hugo Lewi Hammer, Radhika Kakulavarapu, Pål Halvorsen, Mette H. Stensen
Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure. NAIS (2022)
Abhishek Srivastava, Sukalpa Chanda, Debesh Jha, Michael A. Riegler, Pål Halvorsen, Dag Johansen, Umapada Pal
PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation. CoRR (2021)
Debesh Jha, Sharib Ali, Krister Emanuelsen, Steven Alexander Hicks, Vajira Thambawita, Enrique Garcia-Ceja, Michael A. Riegler, Thomas de Lange, Peter Thelin Schmidt, Håvard D. Johansen, Dag Johansen, Pål Halvorsen
Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy. MMM (2) (2021)
Imanol Luengo, Maria Grammatikopoulou, Rahim Mohammadi, Chris Walsh, Chinedu Innocent Nwoye, Deepak Alapatt, Nicolas Padoy, Zhen-Liang Ni, Chen-Chen Fan, Gui-Bin Bian, Zeng-Guang Hou, Heonjin Ha, Jiacheng Wang, Haojie Wang, Dong Guo, Lu Wang, Guotai Wang, Mobarakol Islam, Bharat Giddwani, Hongliang Ren, Theodoros Pissas, Claudio S. Ravasio, Martin Huber, Jeremy Birch, Joan M. Nunez Do Rio, Lyndon Da Cruz, Christos Bergeles, Hongyu Chen, Fucang Jia, Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Pål Halvorsen, Sophia Bano, Uddhav Vaghela, Jianyuan Hong, Haili Ye, Feihong Huang, Da-Han Wang, Danail Stoyanov
2020 CATARACTS Semantic Segmentation Challenge. CoRR (2021)
Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. BHI (2021)
Debesh Jha, Sharib Ali, Steven Alexander Hicks, Vajira Thambawita, Hanna Borgli, Pia H. Smedsrud, Thomas de Lange, Konstantin Pogorelov, Xiaowei Wang, Philipp Harzig, Minh-Triet Tran, Wenhua Meng, Trung-Hieu Hoang, Danielle Dias, Tobey H. Ko, Taruna Agrawal, Olga Ostroukhova, Zeshan Khan, Muhammad Atif Tahir, Yang Liu, Yuan Chang, Mathias Kirkerød, Dag Johansen, Mathias Lux, Håvard D. Johansen, Michael A. Riegler, Pål Halvorsen
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging. Medical Image Anal. 70 (2021)
Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Pål Halvorsen
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy. CBMS (2021)
Andrea M. Storås, Inga Strümke, Michael A. Riegler, Jakob Grauslund, Hugo Lewi Hammer, Anis Yazidi, Pål Halvorsen, Kjell G. Gundersen, Tor P. Utheim, Catherine Jackson
Artificial Intelligence in Dry Eye Disease. CoRR (2021)
Espen Naess, Vajira Thambawita, Steven Alexander Hicks, Michael A. Riegler, Pål Halvorsen
Pyramidal Segmentation of Medical Images using Adversarial Training. ICDAR@ICMR (2021)
Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Michael A. Riegler, Pål Halvorsen
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning. IEEE Access 9 (2021)
Joakim O. Valand, Haris Kadragic, Steven Hicks, Vajira Thambawita, Cise Midoglu, Tomas Kupka, Dag Johansen, Michael A. Riegler, Pål Halvorsen
Automated Clipping of Soccer Events using Machine Learning. ISM (2021)
Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mindroc Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtaç, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Guotai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat P. Müller-Stich, Lena Maier-Hein
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge. Medical Image Anal. 70 (2021)
Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler
DivergentNets:Medical Image Segmentation by Network Ensemble. EndoCV@ISBI (2021)
Henrik L. Gjestang, Steven Alexander Hicks, Vajira Thambawita, Pål Halvorsen, Michael A. Riegler
A self-learning teacher-student framework for gastrointestinal image classification. CBMS (2021)
Syed Zohaib Hassan, Kashif Ahmad, Michael A. Riegler, Steven Hicks, Nicola Conci, Pål Halvorsen, Ala I. Al-Fuqaha
Visual Sentiment Analysis: A Natural DisasterUse-case Task at MediaEval 2021. CoRR (2021)
Sharib Ali, Debesh Jha, Noha M. Ghatwary, Stefano Realdon, Renato Cannizzaro, Osama E. Salem, Dominique Lamarque, Christian Daul, Kim V. Anonsen, Michael A. Riegler, Pål Halvorsen, Jens Rittscher, Thomas de Lange, James E. East
PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment. CoRR (2021)
Debesh Jha, Pia H. Smedsrud, Dag Johansen, Thomas de Lange, Håvard D. Johansen, Pål Halvorsen, Michael A. Riegler
A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation. IEEE J. Biomed. Health Informatics 25 (6) (2021)
Abhishek Srivastava, Debesh Jha, Sukalpa Chanda, Umapada Pal, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Sharib Ali, Pål Halvorsen
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation. CoRR (2021)
Siri S. Eide, Michael A. Riegler, Hugo Lewi Hammer, John Bjørnar Bremnes
Temperature Forecasting using Tower Networks. ICDAR@ICMR (2021)
Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler
DivergentNets: Medical Image Segmentation by Network Ensemble. CoRR (2021)
Debesh Jha, Pia H. Smedsrud, Dag Johansen, Thomas de Lange, Håvard D. Johansen, Pål Halvorsen, Michael A. Riegler
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation. CoRR (2021)
Olav A. Norgård Rongved, Steven Alexander Hicks, Vajira Thambawita, Håkon Kvale Stensland, Evi Zouganeli, Dag Johansen, Cise Midoglu, Michael A. Riegler, Pål Halvorsen
Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events. Int. J. Semantic Comput. 15 (2) (2021)
Anastasiia Kolevatova, Michael A. Riegler, Francesco Cherubini, Xiangping Hu, Hugo Lewi Hammer
Unraveling the Impact of Land Cover Changes on Climate Using Machine Learning and Explainable Artificial Intelligence. Big Data Cogn. Comput. 5 (4) (2021)
Debesh Jha, Sharib Ali, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. CoRR (2021)
Rabindra Khadga, Debesh Jha, Sharib Ali, Steven Alexander Hicks, Vajira Thambawita, Michael A. Riegler, Pål Halvorsen
Few-shot segmentation of medical images based on meta-learning with implicit gradients. CoRR (2021)
Enrique Garcia-Ceja, Vajira Thambawita, Steven Alexander Hicks, Debesh Jha, Petter Jakobsen, Hugo Lewi Hammer, Pål Halvorsen, Michael A. Riegler
HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features. MMM (2) (2021)
Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Pål Halvorsen
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy. CoRR (2021)
Hanna Svennevik, Michael A. Riegler, Steven Hicks, Trude Storelvmo, Hugo Lewi Hammer
Prediction of Cloud Fractional Cover Using Machine Learning. Big Data Cogn. Comput. 5 (4) (2021)
Gunn Astrid Baugerud, Miriam S. Johnson, Ragnhild Klingenberg Røed, Michael E. Lamb, Martine Powell, Vajira Thambawita, Steven Alexander Hicks, Pegah Salehi, Syed Zohaib Hassan, Pål Halvorsen, Michael A. Riegler
Multimodal Virtual Avatars for Investigative Interviews with Children. ICDAR@ICMR (2021)

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Michael A. Riegler