Automated Event Detection and Classification in Soccer: The Potential of Using Multiple Modalities

Autor: Olav Andre Nergård Rongved, Markus Stige, Steven Alexander Hicks, Vajira Lasantha Thambawita, Cise Midoglu, Evi Zouganeli, Dag Johansen, Michael Alexander Riegler, Pål Halvorsen

Publikováno v: Machine Learning and Knowledge Extraction, Vol 3, Iss 4, Pp 1030-1054 (2021)

Detecting events in videos is a complex task, and many different approaches, aimed at a large variety of use-cases, have been proposed in the literature. Most approaches, however, are unimodal and only consider the visual information in the videos. T

Externí odkaz: https://doaj.org/article/71af2bc23ba04fd6a1a886b225bd4a89

MedAI: Transparency in Medical Image Segmentation

Autor: Steven Alexander Hicks, Pål Halvorsen, Klas Pettersen, Thomas de Lange, Bjørn-Jostein Singstad, Morten Goodwin, Sachin Gaur, Michael Riegler, Debesh Jha, Sravanthi Parasa, Vajira Thambawita

Publikováno v: Nordic Machine Intelligence. 1:1-4

MedAI: Transparency in Medical Image Segmentation is a challenge held for the first time at the Nordic AI Meet that focuses on medical image segmentation and transparency in machine learning (ML)-based systems. We propose three tasks to meet specific

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::399def25f7acabe5b0630bd9845ba351
https://doi.org/10.5617/nmi.9140

DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine

Autor: Claus Graff, Jonas L. Isaksen, Torben Hansen, Niels Grarup, Inga Strümke, Allan Linneberg, Vajira Thambawita, Pål Halvorsen, Mary M. Maleckar, Jonas Ghouse, Michael Riegler, Niels-Henrik Holstein-Rathlou, Hugo Lewi Hammer, Morten S. Olesen, Christina Ellervik, Gustav Ahlberg, Steven Alexander Hicks, Jørgen K. Kanters

Publikováno v: Scientific Reports
Thambawita, V, Isaksen, J L, Hicks, S A, Ghouse, J, Ahlberg, G, Linneberg, A, Grarup, N, Ellervik, C, Olesen, M S, Hansen, T, Graff, C, Holstein-Rathlou, N-H, Strümke, I, Hammer, H L, Maleckar, M M, Halvorsen, P, Riegler, M A & Kanters, J K 2021, ' DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine ', Scientific Reports, vol. 11, no. 1, 21896 . https://doi.org/10.1038/s41598-021-01295-2
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)

Recent global developments underscore the prominent role big data have in modern medical science. But privacy issues constitute a prevalent problem for collecting and sharing data between researchers. However, synthetic data generated to represent re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edf1684311452aba06bc145587e08a25
https://hdl.handle.net/11250/2980472

Artificial Intelligence in Gastroenterology

Autor: Pål Halvorsen, Michael Riegler, Sravanthi Parasa, Debesh Jha, Inga Strümke, Vajira Thambawita, Steven Alexander Hicks

Publikováno v: Artificial Intelligence in Medicine ISBN: 9783030580803
Artificial Intelligence in Medicine

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1fb3331b60a5c98b60262c33483464e
https://doi.org/10.1007/978-3-030-58080-3_163-2

Multimodal Virtual Avatars for Investigative Interviews with Children

Autor: Ragnhild Klingenberg Røed, Martine Powell, Gunn Astrid Baugerud, Michael Riegler, Syed Zohaib Hassan, Pål Halvorsen, Michael E. Lamb, Miriam S. Johnson, Steven Alexander Hicks, Vajira Thambawita, Pegah Salehi

Publikováno v: ICDAR@ICMR

In this article, we present our ongoing work in the field of training police officers who conduct interviews with abused children. The objectives in this context are to protect vulnerable children from abuse, facilitate prosecution of offenders, and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fe9d494edb9066dcfd516d534e0bdfc7
https://doi.org/10.1145/3463944.3469269