English version
Michael Alexander Riegler

Michael Alexander Riegler

Forskningsprosjekter

Vitenskapelige publikasjoner

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

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

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

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

Torpmann-Hagen, Birk Sebastian Frostelid; Riegler, Michael ; Halvorsen, Pål ; Johansen, Dag (2024). A Robust Framework for Distributional Shift Detection Under Sample-Bias. 13 s. IEEE Access. Vol. 12.
https://doi.org/10.1109/ACCESS.2024.3393296

Midoglu, Cise; Winther, Andreas Kjæreng; Boeker, Matthias; Pettersen, Susann Dahl; Pettersen, Sigurd; Ragab, Nourhan; Kupka, Tomas; Hicks, Steven; Bredsgaard Randers Thomsen, Morten; Jain, Ramesh; Dagenborg, Håvard Johansen; Pettersen, Svein Arne; Johansen, Dag; Riegler, Michael Alexander ; Halvorsen, Pål (2024). A large-scale multivariate soccer athlete health, performance, and position monitoring dataset. Scientific Data. Vol. 11.
https://doi.org/10.1038/s41597-024-03386-x





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