Journal publications

• Hicks, Steven A.; Strumke, Inga; Thambawita, Vajira L B; Hammou, Malek; Riegler, Michael Alexander; Halvorsen, Pål. (2022) On evaluation metrics for medical applications of artificial intelligence. Scientific Reports. vol. 12.
• Hicks, Steven; Strumke, Inga; Thambawita, Vajira L B; Hammou, Malek; Riegler, Michael; Halvorsen, Pål; Parasa, Sravanthi. (2022) On evaluation metrics for medical applications of artificial intelligence. Scientific Reports. vol. 12.
• Fryer, Daniel; Strumke, Inga; Nguyen, Hien. (2021) Shapley Values for Feature Selection: The Good, the Bad, and the Axioms. IEEE Access.
• Gjærum, Vilde Benoni; Strumke, Inga; Alsos, Ole Andreas; Lekkas, Anastasios M.. (2021) Explaining a deep reinforcement learning docking agent using linear model trees with user adapted visualization. Journal of Marine Science and Engineering. vol. 9 (11).
• Hicks, Steven; Isaksen, Jonas L; Thambawita, Vajira L B; Ghouse, Jonas; Ahlberg, Gustav; Linneberg, Allan; Grarup, Niels; Strumke, Inga; Ellervik, Christina; Olesen, Morten Salling; Hansen, Torben; Graff, Claus; Holstein-Rathlou, Niels-Henrik; Halvorsen, Pål; Maleckar, Mary Margot Catherine; Riegler, Michael; Kanters, Jørgen K. (2021) Explaining deep neural networks for knowledge discovery in electrocardiogram analysis. Scientific Reports. vol. 11.
• Storås, Andrea; Strumke, Inga; Riegler, Michael Alexander; Grauslund, Jakob; Hammer, Hugo Lewi; Yazidi, Anis; Halvorsen, Pål; Gundersen, Kjell Gunnar; Utheim, Tor Paaske; Jackson, Catherine Joan. (2021) Artificial intelligence in dry eye disease. The ocular surface. vol. 23.
• Fryer, Daniel; Strumke, Inga; Nguyen, Hien. (2021) Model independent feature attributions: Shapley values that uncover non-linear dependencies. PeerJ Computer Science.
• Strumke, Inga; Slavkovik, Marija; Madai, Vince Istvan. (2021) The social dilemma in artificial intelligence development and why we have to solve it. AI and Ethics.
• Thambawita, Vajira L B; Hicks, Steven; Strumke, Inga; Riegler, Michael Alexander; Halvorsen, Pål; Parasa, Sravanthi. (2021) Fr615 IMPACT OF IMAGE RESOLUTION ON CONVOLUTIONAL NEURAL NETWORKS PERFORMANCE IN GASTROINTESTINAL ENDOSCOPY. Gastroenterology. vol. 160 (6 supplement).
• Thambawita, Vajira L B; Isaksen, Jonas L.; Hicks, Steven A.; Ghouse, Jonas; Ahlberg, Gustav; Linneberg, Allan; Grarup, Niels; Ellervik, Christina; Olesen, Morten Salling; Hansen, Torben; Graff, Claus; Holstein-Rathlou, Niels-Henrik; Strümke, Inga; Hammer, Hugo L.; Maleckar, Mary M.; Halvorsen, Pål; Riegler, Michael A.; Kanters, Jørgen K.. (2021) DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine. Scientific Reports. vol. 11 (1).
• Thambawita, Vajira L B; Strumke, Inga; Hicks, Steven; Halvorsen, Pål; Parasa, Sravanthi; Riegler, Michael. (2021) Impact of image resolution on deep learning performance in endoscopy image classification: An experimental study using a large dataset of endoscopic images. Diagnostics (Basel). vol. 11 (12).
• Thambawita, Vajira L B; Strumke, Inga; Hicks, Steven; Riegler, Michael Alexander; Halvorsen, Pål; Parasa, Sravanthi. (2021) ID: 3523524 DATA AUGMENTATION USING GENERATIVE ADVERSARIAL NETWORKS FOR CREATING REALISTIC ARTIFICIAL COLON POLYP IMAGES: VALIDATION STUDY BY ENDOSCOPISTS. Gastrointestinal Endoscopy. vol. 93 (6 supplement).
• Mæland, Steffen; Strümke, Inga. (2019) Deep Learning with Periodic Features and Applications in Particle Physics. Communications in Computer and Information Science. vol. 1150 CCIS.
• De Angelis, Alessandro; Tatischeff, Vincent; Grenier, Isabelle A.; McEnery, Julie E.; Mallamaci, Manuela; Tavani, Marco; Oberlack, U.; Hanlon, L.; Walter, R; Argan, Andrea; von Ballmoos, Peter; Bulgarelli, Andrea; Bykov, Andrei M.; Hernanz, Margerita; Kanbach, Gottfried O.; Kuvvetli, Irfan; Pearce, Mark; Zdziarski, A; Conrad, J; Ghisellini, Gabriele; Harding, A; Isern, J.; Leising, Mark D.; Longo, Francesco; Madejski, G.; Martinez, M; Mazziotta, M. N.; Paredes, J.M.; Pohl, M.; Rando, R; Razzano, M; Aboudan, Alessio; Ackermann, Mathias; Addazi, A; Ajello, Marco; Albertus, C; Alvarez, J.M.; Ambrosi, Giovanni; Anton, S.; Antonelli, Lucio Angelo; Babic, Aleksandar; Baibussinov, B.; Balbo, M.; Baldini, L; Balman, S.; Bambi, C.; Bringmann, Torsten; Strümke, Inga; Van den Abeele, Jeriek Paul; Marisaldi, Martino; Zoglauer, Andreas C.. (2018) Science with e-ASTROGAM: A space mission for MeV–GeV gamma-ray astrophysics. Journal of High Energy Astrophysics. vol. 19.
• Kersten, Jörn; Heisig, Jan; Murphy, Nick; Strümke, Inga. (2018) Gaugino Mediation with Large Trilinears. Proceedings of Science (PoS). vol. 318 (079).
• Kvellestad, Anders; Mæland, Steffen; Strümke, Inga. (2018) Signal mixture estimation for degenerate heavy Higgses using a deep neural network. European Physical Journal C. vol. 78 (12).
• Heisig, Jan; Kersten, Jörn Andreas; Murphy, Nick; Strümke, Inga. (2017) Trilinear-augmented gaugino mediation. Journal of High Energy Physics (JHEP). vol. 2017 (5).

Part of book/report

• Strumke, Inga; Hicks, Steven; Thambawita, Vajira L B; Jha, Debesh; Parasa, Sravanthi; Riegler, Michael Alexander; Halvorsen, Pål. (2021) Artificial Intelligence in Gastroenterology. Artificial Intelligence in Medicine.
• Strumke, Inga; Hicks, Steven; Thambawita, Vajira L B; Jha, Debesh; Parasa, Sravanthi; Riegler, Michael Alexander; Halvorsen, Pål. (2021) Artificial Intelligence in Gastroenterology. Artificial Intelligence in Medicine.

Report/dissertation

• Strümke, Inga; Kersten, Jörn. (2019) Parameter Scans and Machine Learning for beyond Standard Model Physics. 2019. ISBN 978-82-308-3511-1.