Forskningsgrupper
Forskningsprosjekter
-
Kunstig intelligens - et nytt verktøy innen assistert reproduksjonsteknologi
Prosjektet har som mål å forbedre metodene for å velge ut sædceller og embryo, og dermed øke sjansen for graviditet og levendefødte barn.
Publikasjoner og forskningsresultater
Vitenskapelige publikasjoner
Ali, Sharib; Ghatwary, Noha; Jha, Debesh; Isik-Polat, Ece; Polat, Gorkem; Yang, Cheng; Li, Wuyang; Galdran, Adrian; Ballester, Miguel Angel Gonzalez; Thambawita, Vajira L B; Hicks, Steven; Poudel, Sahadev; Lee, Sang-Woong; Jin, Ziyi; Gan, Tianyuan; Yu, Chenghui; Yan, JiangPeng; Yeo, Doyeob; Lee, Hyunseok Lee; Tomar, Nikhil Kumar; Haitham, Mahmood; Ahmed, Amr;
Riegler, Michael Alexander
; Daul, Christian;
Halvorsen, Pål
; Rittscher, Jens; Salem, Osama E.; Lamarque, Dominique; Cannizzaro, Renato; Realdon, Stefano; de Lange, Thomas; East, James E
(2024).
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.
Scientific Reports.
Vol. 14.
https://doi.org/10.1038/s41598-024-52063-x
Svennevik, Hanna; Hicks, Steven;
Riegler, Michael
; Storelvmo, Trude;
Hammer, Hugo Lewi
(2024).
A dataset for predicting cloud cover over Europe.
6 s.
Scientific Data.
Vol. 11.
https://doi.org/10.1038/s41597-024-03062-0
Vo, Minh-Quan; Nguyen, Thu; Riegler, Michael ; Hammer, Hugo Lewi (2024). Efficient Estimation of Generative Models Using Tukey Depth. Algorithms.
Maier-Hein, Lena; Reinke, Annika; Godau, Patrick; Tizabi, Minu D.; Buettner, Florian; Christodoulou, Evangelia; Glocker, Ben; Isensee, Fabian; Kleesiek, Jens; Kozubek, Michal; Reyes, Mauricio;
Riegler, Michael
; Wiesenfarth, Manuel; Kavur, A. Emre; Sudre, Carole H.; Baumgartner, Michael; Eisenmann, Matthias; Heckmann-Nötzel, Doreen; Rädsch, Tim; Acion, Laura; Antonelli, Michela; Arbel, Tal; Bakas, Spyridon; Benis, Arriel; Blaschko, Matthew B.; Cardoso, M. Jorge; Cheplygina, Veronika; Cimini, Beth A.; Collins, Gary S.; Farahani, Keyvan; Ferrer, Luciana; Galdran, Adrian; van Ginneken, Bram; Haase, Robert; Hashimoto, Daniel A.; Hoffman, Michael M.; Huisman, Merel; Jannin, Pierre; Kahn, Charles E.; Kainmueller, Dagmar; Kainz, Bernhard; Karargyris, Alexandros; Karthikesalingam, Alan; Kofler, Florian; Kopp-Schneider, Annette; Kreshuk, Anna; Kurc, Tahsin; Landman, Bennett A.; Litjens, Geert; Madani, Amin; Maier-Hein, Klaus; Martel, Anne L.; Mattson, Peter; Meijering, Erik; Menze, Bjoern; Moons, Karel G. M.; Müller, Henning; Nichyporuk, Brennan; Nickel, Felix; Petersen, Jens; Rajpoot, Nasir; Rieke, Nicola; Saez-Rodriguez, Julio; Sánchez, Clara I.; Shetty, Shravya; van Smeden, Maarten; Summers, Ronald M.; Taha, Abdel A.; Tiulpin, Aleksei; Tsaftaris, Sotirios A.; Van Calster, Ben; Varoquaux, Gaël; Jäger, Paul F.
(2024).
Metrics reloaded: recommendations for image analysis validation.
17 s.
Nature Methods.
Vol. 21.
https://doi.org/10.1038/s41592-023-02151-z
Reinke, Annika; Tizabi, Minu D.; Baumgartner, Michael; Eisenmann, Matthias; Heckmann-Nötzel, Doreen; Kavur, A. Emre; Rädsch, Tim; Sudre, Carole H.; Acion, Laura; Antonelli, Michela; Arbel, Tal; Bakas, Spyridon; Benis, Arriel; Buettner, Florian; Cardoso, M. Jorge; Cheplygina, Veronika; Chen, Jianxu; Christodoulou, Evangelia; Cimini, Beth A.; Farahani, Keyvan; Ferrer, Luciana; Galdran, Adrian; van Ginneken, Bram; Glocker, Ben; Godau, Patrick; Hashimoto, Daniel A.; Hoffman, Michael M.; Huisman, Merel; Isensee, Fabian; Jannin, Pierre; Kahn, Charles E.; Kainmueller, Dagmar; Kainz, Bernhard; Karargyris, Alexandros; Kleesiek, Jens; Kofler, Florian; Kooi, Thijs; Kopp-Schneider, Annette; Kozubek, Michal; Kreshuk, Anna; Kurc, Tahsin; Landman, Bennett A.; Litjens, Geert; Madani, Amin; Maier-Hein, Klaus; Martel, Anne L.; Meijering, Erik; Menze, Bjoern; Moons, Karel G. M.; Müller, Henning; Nichyporuk, Brennan; Nickel, Felix; Petersen, Jens; Rafelski, Susanne M.; Rajpoot, Nasir; Reyes, Mauricio;
Riegler, Michael
; Rieke, Nicola; Saez-Rodriguez, Julio; Sánchez, Clara I.; Shetty, Shravya; Summers, Ronald M.; Taha, Abdel A.; Tiulpin, Aleksei; Tsaftaris, Sotirios A.; Van Calster, Ben; Varoquaux, Gaël; Yaniv, Ziv R.; Jäger, Paul F.; Maier-Hein, Lena
(2024).
Understanding metric-related pitfalls in image analysis validation.
12 s.
Nature Methods.
Vol. 21.
https://doi.org/10.1038/s41592-023-02150-0
Monakhov, Vladimir; Thambawita, Vajira L B;
Halvorsen, Pål
;
Riegler, Michael
(2023).
GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos.
Sensors.
Vol. 23:2087.
https://doi.org/10.3390/s23042087
Storås, Andrea; Andersen, Ole Emil; Lockhart, Sam; Thielemann, Roman; Gnesin, Filip; Thambawita, Vajira L B; Hicks, Steven; Kanters, Jørgen K.; Strumke, Inga;
Halvorsen, Pål
;
Riegler, Michael
(2023).
Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis.
11 s.
Diagnostics (Basel).
Vol. 13.
https://doi.org/10.3390/diagnostics13142345
Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Dagenborg, Håvard;
Halvorsen, Pål
;
Riegler, Michael Alexander
; Johansen, Dag
(2023).
Fishing Trawler Event Detection: An Important Step Towards Digitization of Sustainable Fishing.
Nichele, Stefano; Aamodt, Jonas Moræus; Misra, Sanjay; Mölder, Anicka (Red.).
2023 3rd International Conference on Applied Artificial Intelligence (ICAPAI).
IEEE conference proceedings.
https://doi.org/10.1109/ICAPAI58366.2023.10194202
Smedsrud, Pia Helen; Espeland, Håvard; Berstad, Tor Jan; Petlund, Andreas; de Lange, Thomas;
Riegler, Michael
;
Halvorsen, Pål
(2023).
Man vs. AI: An in silico study of polyp detection performance.
Placidi, Giuseppe; González, Alejandro Rodríguez; Sicilia, Rosa; Spiliopoulou, Myra; Almeida, João Rafael; Andrades, José Alberto Benítez (Red.).
Proceedings of the 2023 36th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS). s. 720-725.
IEEE conference proceedings.
https://doi.org/10.1109/CBMS58004.2023.00307
Ali, Sharib; Jha, Debesh; Ghatwary, Noha; Realdon, Stefano; Cannizzaro, Renato; Salem, Osama E.; Lamarque, Dominique; Daul, Christian;
Riegler, Michael Alexander
; Ånonsen, Kim Vidar; Petlund, Andreas;
Halvorsen, Pål
; Rittscher, Jens; de Lange, Thomas; East, James E
(2023).
A multi-centre polyp detection and segmentation dataset for generalisability assessment.
17 s.
Scientific Data.
Vol. 10.
https://doi.org/10.1038/s41597-023-01981-y