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
Papachrysos, Nikolaos; Smedsrud, Pia Helen; Ånonsen, Kim Vidar; Berstad, Tor Jan; Espeland, Håvard; Petlund, Andreas; Hedenström, Per;
Halvorsen, Pål
; Varkey, Jonas;
Hammer, Hugo Lewi
;
Riegler, Michael
; de Lange, Thomas
(2024).
A comparative study benchmarking colon polyp detection with CADe software.
Endoscopy.
Vol. S02.
https://doi.org/10.1055/s-0044-1782889
Dang Nguyen, Duc Tien; Khan, Sohail Ahmed;
Riegler, Michael
;
Halvorsen, Pål
; Tran, Anh-Duy; Dao, Minh-Son; Tran, Minh-Triet
(2024).
Overview of the Grand Challenge on Detecting Cheapfakes at ACM ICMR 2024.
Gurrin, Cathal; Kongkachandra, Rachada; Schoeffmann, Klaus (Red.).
ICMR '24: Proceedings of the 2024 International Conference on Multimedia Retrieval. s. 1275-1281.
ACM Digital Library.
https://doi.org/10.1145/3652583.3657587
Vo, Minh-Quan; Nguyen, Thu;
Riegler, Michael
;
Hammer, Hugo Lewi
(2024).
Efficient Estimation of Generative Models Using Tukey Depth.
Algorithms.
Vol. 17.
https://doi.org/10.3390/a17030120
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
Salehi, Pegah; Hassan, Syed Zohaib;
Baugerud, Gunn Astrid
; Powell, Martine; Cano, Cayetana López;
Johnson, Miriam S.
; Røed, Ragnhild Klingenberg; Johansen, Dag; Sabet, Saeed Shafiee;
Riegler, Michael
;
Halvorsen, Pål
(2024).
Immersive Virtual Reality in Child Skills Interview Training: A Comparison of 2D And 3D environment.
Rossi, Silvia; Muchaluat-Saade, Débora Christina; Röggla, Thomas (Red.).
MMVE’ 2024 Proceedings of the 2024
16th International Workshop on Immersive Mixed
and Virtual Environment Systems.
Association for Computing Machinery (ACM).
https://doi.org/10.1145/3652212.3652219
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
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
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
Chatterjee, Ayan; Gerdes, Martin; Prinz, Andreas;
Riegler, Michael
; Martinez, Santiago
(2024).
Semantic representation and comparative analysis of physical activity sensor observations using MOX2-5 sensor in real and synthetic datasets: a proof-of-concept-study.
Scientific Reports.
Vol. 14.
https://doi.org/10.1038/s41598-024-55183-6
Parasa, Sravanthi; Berzin, Tyler; Leggett, Cadman; Gross, Seth; Repici, Alessandro; Ahmad, Omer F.; Chiang, Austin; Coelho-Prabhu, Nayantara; Cohen, Jonathan; Dekker, Evelien; Keswani, Rajesh N.; Kahn, Charles E.; Hassan, Cesare; Petrick, Nicholas; Mountney, Peter; Ng, Jonathan;
Riegler, Michael
; Mori, Yuichi; Saito, Yutaka; Thakkar, Shyam; Waxman, Irving; Wallace, Michael Bradley; Sharma, Prateek
(2024).
Consensus statements on the current landscape of artificial intelligence applications in endoscopy, addressing roadblocks, and advancing artificial intelligence in gastroenterology.
Gastrointestinal Endoscopy.
https://doi.org/10.1016/j.gie.2023.12.003