Matthias Perkonigg

According to our database, Matthias Perkonigg authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

2022

Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types.

Christoph Fürböck, Matthias Perkonigg, Thomas Helbich, Katja Pinker, Valeria Romeo, Georg Langs

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver

Medical Image Anal., 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

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 for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition.

Matthias Perkonigg, Johannes Hofmanninger, Georg Langs

Proceedings of the Information Processing in Medical Imaging, 2021

2020

Unsupervised deep clustering for predictive texture pattern discovery in medical images.

Matthias Perkonigg, Daniel Sobotka, Ahmed Ba-Ssalamah, Georg Langs

CoRR, 2020

Dynamic Memory to Alleviate Catastrophic Forgetting in Continuous Learning Settings.

Johannes Hofmanninger, Matthias Perkonigg, James A. Brink, Oleg S. Pianykh, Christian Herold, Georg Langs

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2018

Detecting Bone Lesions in Multiple Myeloma Patients Using Transfer Learning.

Matthias Perkonigg, Johannes Hofmanninger, Björn H. Menze, Marc-André Weber, Georg Langs

Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018