Detecting Bone Lesions in Multiple Myeloma Patients Using Transfer Learning. - Matthias Perkonigg; Johannes Hofmanninger; Björn H. Menze; Marc-André Weber; Georg Langs (DATRA/PIPPI@MICCAI, 2018)

Dynamic Memory to Alleviate Catastrophic Forgetting in Continuous Learning Settings. - Johannes Hofmanninger; Matthias Perkonigg; James A. Brink; Oleg S. Pianykh; Christian Herold; Georg Langs (MICCAI (2), 2020)

Unsupervised deep clustering for predictive texture pattern discovery in medical images. - Matthias Perkonigg; Daniel Sobotka; Ahmed Ba-Ssalamah; Georg Langs (CoRR, 2020)

Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition. - Matthias Perkonigg; Johannes Hofmanninger; Georg Langs (IPMI, 2021)

Pseudo-domains in imaging data improve prediction of future disease status in multi-center studies. - Matthias Perkonigg; Peter Mesenbrink; Alexander Goehler; Miljen Martic; Ahmed Ba-Ssalamah; Georg Langs (CoRR, 2021)

Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics. - Matthias Perkonigg; Johannes Hofmanninger; Christian Herold; Helmut Prosch; Georg Langs (CoRR, 2021)

CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation. - A. Emre Kavur; Naciye Sinem Gezer; Mustafa Baris; Sinem Aslan; Pierre-Henri Conze; Vladimir Groza; Duc Duy Pham; Soumick Chatterjee; Philipp Ernst; Savas Özkan; Bora Baydar; Dmitry A. Lachinov; et al. (Medical Image Anal., 2021)

Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types. - Christoph Fürböck; Matthias Perkonigg; Thomas Helbich; Katja Pinker; Valeria Romeo; Georg Langs (MICCAI (8), 2022)

Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training. - Daniel Sobotka; Alexander Herold; Matthias Perkonigg; Lucian Beer; Nina Bastati; Alina Sablatnig; Ahmed Ba-Ssalamah; Georg Langs (Comput. Medical Imaging Graph., 2024)

Identifying Signatures of Image Phenotypes to Track Treatment Response in Liver Disease. - Matthias Perkonigg; Nina Bastati; Ahmed Ba-Ssalamah; Peter Mesenbrink; Alexander Goehler; Miljen Martic; Xiaofei Zhou; Michael Trauner; Georg Langs (CoRR, 2025)