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P. H. Smedsrud, H. Espeland, T. J. D. Berstad, A. Petlund, T. de Lange, M. Riegler and P. Halvorsen

Man vs. AI: An in silico study of polyp detection performance

In 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS). L'Aquila, Italy: IEEE, 2023.
Proceedings, refereed
2023
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A. Storås, O. E. Andersen, S. Lockhart, R. Thielemann, F. Gnesin, V. Thambawita, S. Hicks, J. Kanters, I. Strümke, P. Halvorsen et al.

Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis

Diagnostics 13, no. 14 (2023).
Journal Article
2023
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F. Fineide, A. Storås, M. Magnø, H. L. Hammer, X. Chen, A. Khan, P. Halvorsen, T. Utheim and M. Riegler

Predicting the degree of meibomian gland dropout with artificial intelligence

In ARVO Annual Meeting, 2023.
Proceedings, refereed
2023
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R. K. Røed, G. A. Baugerud, S. Z. Hassan, S. S. Sabet, P. Salehi, M. Powell, M. Riegler, P. Halvorsen and M. S. Johnson

Enhancing Questioning Skills through Child Avatar Chatbot Training with Feedback

Frontiers in Psychology (2023).
Journal Article
2023
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25 May 2016
Vamsidhar Geddy Raddam

Vamsidhar Reddy Gaddam defended his PhD

Projects

Child holding hands with a robot in Japan. Photo: Andy Kelly, Unsplash

Interview training of child-welfare and law-enforcement professionals interviewing maltreated children supported via artificial avatars

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For teaching and supervision, see my homepage.

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2019

Journal articles

K. Ahmad, K. Pogorelov, M. Riegler, N. Conci and P. Halvorsen

Social media and satellites: Disaster event detection, linking and summarization

Multimedia Tools and Applications 78 (2019): 2837-2875.
Status: Published
S. Hicks, J. M. Andersen, O. Witczak, V. Thambawita, P. Halvorsen, H. L. Hammer, T. B. Haugen and M. Riegler

Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction

Nature Scientific Reports 9, no. 1 (2019).
Status: Published
S. Hicks, P. H. Smedsrud, M. Riegler, T. de Lange, A. Petlund, S. L. Eskeland, K. Pogorelov, P. T. Schmidt and P. Halvorsen

Deep Learning for Automatic Generation of Endoscopy Reports

Gastrointestinal Endoscopy 89, no. 6 (2019).
Status: Published
M. Jeppsson, H. Espeland, T. Kupka, R. Langseth, A. Petlund, P. Qiaoqiao, C. Xue, D. Johansen, K. Pogorelov, H. K. Stensland et al.

Efficient Live and On-Demand Tiled HEVC 360 VR Video Streaming

International Journal of Semantic Computing 13, no. 3 (2019): 367-391.
Status: Published
J. Markussen, L. B. Kristiansen, R. Borgli, H. K. Stensland, F. Seifert, M. Riegler and C. Griwodz

Flexible device compositions and dynamic resource sharing in PCIe interconnected clusters using Device Lending

Cluster Computing 22, no. 86 (2019): 1-24.
Status: Published
K. Pogorelov, S. Suman, F. A. Hussin, A. S. Malik, O. Ostroukhova, M. Riegler, P. Halvorsen, S. H. Ho and K. Goh

Bleeding detection in wireless capsule endoscopy videos—Color versus texture features

Journal of applied clinical medical physics 20, no. 8 (2019): 141-154.
Status: Published
M. Riegler, P. H. Smedsrud, T. de Lange and P. Halvorsen

Maskinlæringssystemer for gastrointestinale endoskopier

Best Practice Nordic - Gastroenterologi (2019).
Status: Published

Proceedings, refereed

S. Hicks, A. Petlund, T. de Lange, P. T. Schmidt, P. Halvorsen, M. Riegler, P. H. Smedsrud, T. B. Haugen, K. R. Randel, K. Pogorelov et al.

ACM Multimedia BioMedia 2019 Grand Challenge Overview

In The ACM International Conference on Multimedia (ACM MM). New York, New York, USA: ACM Press, 2019.
Status: Published
P. Halvorsen, M. Riegler and K. Schoeffmann

Medical Multimedia Systems and Applications

In Proceedings of the 27th ACM International Conference on Multimedia - MM '19. New York, NY, USA: ACM Press, 2019.
Status: Published
K. Andreassen, D. Johansen, H. Johansen, I. Baptista, S. A. Pettersen, M. Riegler and P. Halvorsen

Real-time Analysis of Physical Performance Parameters in Elite Soccer

In 2019 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2019.
Status: Published