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Matthias Perkonigg

Showing results (1-10 of 6) with videos related to

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Nature Communications|September 29, 2021
Dynamic memory to alleviate catastrophic forgetting in continual learning with medical imagingMatthias Perkonigg, Johannes Hofmanninger, Christian J Herold, et al.
Der Radiologe|January 10, 2020
[Machine learning in radiology : Terminology from individual timepoint to trajectory]Georg Langs, Ulrike Attenberger, Roxane Licandro, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 22, 2024
Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model TrainingDaniel Sobotka, Alexander Herold, Matthias Perkonigg, et al.
Artificial Intelligence in Medicine|July 23, 2025
Identifying signatures of image phenotypes to track treatment response in liver diseaseMatthias Perkonigg, Nina Bastati, Ahmed Ba-Ssalamah, et al.
European Radiology|June 26, 2023
Correlation of histologic, imaging, and artificial intelligence features in NAFLD patients, derived from Gd-EOB-DTPA-enhanced MRI: a proof-of-concept studyNina Bastati, Matthias Perkonigg, Daniel Sobotka, et al.
Medical Image Analysis|January 9, 2021
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentationA Emre Kavur, N Sinem Gezer, Mustafa Barış, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Nature Communications|September 29, 2021
Dynamic memory to alleviate catastrophic forgetting in continual learning with medical imagingMatthias Perkonigg, Johannes Hofmanninger, Christian J Herold, et al.
Der Radiologe|January 10, 2020
[Machine learning in radiology : Terminology from individual timepoint to trajectory]Georg Langs, Ulrike Attenberger, Roxane Licandro, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 22, 2024
Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model TrainingDaniel Sobotka, Alexander Herold, Matthias Perkonigg, et al.
Artificial Intelligence in Medicine|July 23, 2025
Identifying signatures of image phenotypes to track treatment response in liver diseaseMatthias Perkonigg, Nina Bastati, Ahmed Ba-Ssalamah, et al.
European Radiology|June 26, 2023
Correlation of histologic, imaging, and artificial intelligence features in NAFLD patients, derived from Gd-EOB-DTPA-enhanced MRI: a proof-of-concept studyNina Bastati, Matthias Perkonigg, Daniel Sobotka, et al.
Medical Image Analysis|January 9, 2021
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentationA Emre Kavur, N Sinem Gezer, Mustafa Barış, et al.
Pageof 1