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ORCIDMatthias Perkonigg
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2020 – today
- 2024
[j2]Daniel Sobotka, Alexander Herold, Matthias Perkonigg
, Lucian Beer, Nina Bastati, Alina Sablatnig, Ahmed Ba-Ssalamah, Georg Langs:
Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training. Comput. Medical Imaging Graph. 114: 102369 (2024)- 2022
- [c4]Christoph Fürböck, Matthias Perkonigg, Thomas Helbich, Katja Pinker, Valeria Romeo, Georg Langs:
Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types. MICCAI (8) 2022: 276-286 - 2021
- [j1]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:
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation. Medical Image Anal. 69: 101950 (2021) - [c3]Matthias Perkonigg, Johannes Hofmanninger, Georg Langs:
Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition. IPMI 2021: 649-660 - [i6]Matthias Perkonigg, Johannes Hofmanninger, Georg Langs:
Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition. CoRR abs/2106.03351 (2021) - [i5]Matthias Perkonigg, Peter Mesenbrink, Alexander Goehler, Miljen Martic, Ahmed Ba-Ssalamah, Georg Langs:
Pseudo-domains in imaging data improve prediction of future disease status in multi-center studies. CoRR abs/2111.07634 (2021) - [i4]Matthias Perkonigg, Johannes Hofmanninger, Christian Herold, Helmut Prosch, Georg Langs:
Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics. CoRR abs/2111.13069 (2021) - 2020
- [c2]Johannes Hofmanninger, Matthias Perkonigg, James A. Brink, Oleg S. Pianykh, Christian Herold, Georg Langs:
Dynamic Memory to Alleviate Catastrophic Forgetting in Continuous Learning Settings. MICCAI (2) 2020: 359-368 - [i3]A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, 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, Sinem Aslan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver:
CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation. CoRR abs/2001.06535 (2020) - [i2]Matthias Perkonigg, Daniel Sobotka, Ahmed Ba-Ssalamah, Georg Langs:
Unsupervised deep clustering for predictive texture pattern discovery in medical images. CoRR abs/2002.03721 (2020) - [i1]Johannes Hofmanninger, Matthias Perkonigg, James A. Brink, Oleg S. Pianykh, Christian Herold, Georg Langs:
Dynamic memory to alleviate catastrophic forgetting in continuous learning settings. CoRR abs/2007.02639 (2020)
2010 – 2019
- 2018
- [c1]Matthias Perkonigg, Johannes Hofmanninger, Björn H. Menze, Marc-André Weber, Georg Langs:
Detecting Bone Lesions in Multiple Myeloma Patients Using Transfer Learning. DATRA/PIPPI@MICCAI 2018: 22-30
Coauthor Index
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