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Most recent publications

E. Garcia-Ceja, V. Thambawita, S. Hicks, D. Jha, P. Jakobsen, H. L. Hammer, P. Halvorsen and M. Riegler

HTAD: A Home-Tasks Activities Dataset with Wrist-accelerometer and Audio Features

In 27th International Conference on Multimedia Modeling. Springer, 2021.
Book Chapter
2021
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D. Jha, P. H. Smedsrud, D. Johansen, T. de Lange, H. D. Johansen, P. Halvorsen and M. Riegler

A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation

IEEE Journal of Biomedical and Health Informatics (2021).
Journal Article
2021
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N. K. Tomar, D. Jha, S. Ali, H. D. Johansen, D. Johansen, M. Riegler and P. Halvorsen

DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation

In 25th International Conference on Pattern Recognition , 2021.
Proceedings, refereed
2021
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D. Jha, S. Ali, K. Emanuelsen, S. Hicks, V. Thambawita, E. Garcia-Ceja, M. Riegler, T. de Lange, P. T. Schmidt, H. D. Johansen et al.

Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy

In 27th International Conference on Multimedia Modeling, 2021.
Proceedings, refereed
2021
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Selected publications

M. Riegler, M. Lux and C. Kofler

How 'How' Reflects What's What: Content-based Exploitation of How Users Frame Social Images

In MM '14: Proceedings of the ACM International Conference on Multimedia. New York, NY, USA: ACM, 2014.
Proceedings, refereed
2014
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M. Riegler, L. Calvet, A. Calvet, P. Halvorsen and C. Griwodz

Exploitation of Producer Intent in Relation to Bandwidth and QoE for Online Video Streaming Services

In NOSSDAV at Multimedia Systems Conference . Portland, USA: ACM, 2015.
Proceedings, refereed
2015
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M. Riegler, K. Pogorelov, S. L. Eskeland, P. T. Schmidt, Z. Albisser, D. Johansen, C. Griwodz, P. Halvorsen and T. de Lange

From Annotation to Computer-Aided Diagnosis: Detailed Evaluation of a Medical Multimedia System

ACM Transactions on Multimedia Computing, Communications, and Applications 13, no. 3 (2017).
Journal Article
2017
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M. Riegler, C. Griwodz, C. Spampinato, T. de Lange, S. L. Eskeland, K. Pogorelov, W. Tavanapong, P. T. Schmidt, C. Gurrin, D. Johansen et al.

Multimedia and Medicine: Teammates for Better Disease Detection and Survival

In ACM Multimedia. Amsterdam, The Netherlands, The Netherlands: ACM, 2016.
Proceedings, refereed
2016
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21 December 2020

Two Simula projects funded by the Research Council of Norway

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2021

Journal articles

D. Jha, P. H. Smedsrud, D. Johansen, T. de Lange, H. D. Johansen, P. Halvorsen and M. Riegler

A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation

IEEE Journal of Biomedical and Health Informatics (2021).
Status: Published

Proceedings, refereed

D. Jha, S. Ali, K. Emanuelsen, S. Hicks, V. Thambawita, E. Garcia-Ceja, M. Riegler, T. de Lange, P. T. Schmidt, H. D. Johansen et al.

Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy

In 27th International Conference on Multimedia Modeling, 2021.
Status: Accepted
N. K. Tomar, D. Jha, S. Ali, H. D. Johansen, D. Johansen, M. Riegler and P. Halvorsen

DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation

In 25th International Conference on Pattern Recognition , 2021.
Status: Accepted

Book chapters

E. Garcia-Ceja, V. Thambawita, S. Hicks, D. Jha, P. Jakobsen, H. L. Hammer, P. Halvorsen and M. Riegler

HTAD: A Home-Tasks Activities Dataset with Wrist-accelerometer and Audio Features

In 27th International Conference on Multimedia Modeling. Springer, 2021.
Status: Accepted
2020

Journal articles

H. Borgli, V. Thambawita, P. H. Smedsrud, S. Hicks, D. Jha, S. L. Eskeland, K. R. Randel, K. Pogorelov, M. Lux, D. T. D. Nguyen et al.

HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

Scientific Data (2020).
Status: Published
E. Garcia-Ceja, B. Morin, A. Aguilar-Rivera and M. Riegler

A Genetic Attack Against Machine Learning Classifiers to Steal Biometric Actigraphy Profiles from Health Related Sensor DataAbstract

Journal of Medical Systems 44613245287152244117444783681319637511334984453913, no. 102511124106P2159344414411 (2020).
Status: Published
S. Hicks, T. B. Haugen, M. Iliceto, H. L. Hammer, J. M. Andersen, O. Witczak, M. Riegler and M. Stensen

Big data is not always better – prediction of live birth using machine learning on time-lapse videos of human embryos

Human Reproduction (2020).
Status: Published
P. Jakobsen, E. Garcia-Ceja, M. Riegler, L. A. Stabell, T. Nordgreen, J. Torresen, O. B. Fasmer and K. J. Oedegaard

Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls

PLOS ONE 15574145761765315613881919136528131868523622810192320301645864114129119179074336, no. 8219433614441145591210334111171261121111 (2020): e0231995.
Status: Published
F. M. Noori, M. Riegler, M. Z. Uddin and J. Torresen

Human Activity Recognition from Multiple Sensors Data Using Multi-fusion Representations and CNNs

ACM Transactions on Multimedia Computing, Communications, and Applications 161663, no. 2 (2020): 1-19.
Status: Published
T. Roß, A. Reinke, P. M. Full, M. Wagner, H. Kenngott, M. Apitz, H. Hempe, D. M. Filimon, P. Scholz, T. N. Tran et al.

Comparative validation of multi-instance instrument segmentation in endoscopy: results of the ROBUST-MIS 2019 challenge

Medical Image Analysis (2020).
Status: Published