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Matthias Perkonigg
Dipl.-Ing. PhD
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| Aufgaben- / Forschungsschwerpunkte CV Publikationen Lehre |
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Aufgaben- / Forschungsschwerpunkte
- Univ.-Ass. (Postdoc)
- Forschung an Machine Learning für medizinische Anwendungen
- Machine Learning für medizinische Bildverarbeitung
- Continual and Active Learning
CV
| Seit 2024 | Univ.-Ass. (Postdoc), Medizinische Universität Innsbruck |
| 2022-2024 | Senior Machine Learning Engineer, contextflow GmbH, Wien |
| 2022 | PhD in Medical Imaging, Medizinische Universität Wien, Thesis: "Data Heterogenity and Continual Machine Learning for Medical Image Analysis" |
| 2018 | Dipl.-Ing. in Medizinischer Informatik, Technische Universität Wien, Thesis: "Convolutional Neural Networks for Bone Lesion Detection in Medical Imaging Data" |
| 2015 | BSc in Medieninformatik und Visual Computing, Technische Universität Wien |
Publikationen
- Perkonigg M., Hofmanninger J., Herold C., Prosch H., & Langs G. "Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics" The Journal of Machine Learning for Biomedical Imaging (MELBA). 2022.
- Perkonigg M., Hofmanninger, J., Herold, C., Brink, J. A., Pianykh O., Prosch H., & Langs, G. "Dynamic memory to alleviate catastrophic forgetting in continual learning with medical imaging" Nature communications, 12, 5678, 2021.
- Bastati N., Perkonigg M., Sobotka D., Poetter-Lang S., Fragner R., Beer A., Messner A., Watzenboeck M., Pochepnia S., Kittinger J., Herold A., Kristic A., Hodge J.C., Traussnig S., Trauner M., Ba-Ssalamah A. & Langs G. "Correlation of histologic, imaging, and artificial intelligence features in NAFLD patients, derived from Gd-EOB-DTPA-enhanced MRI: a proof-of-concept study" European Radiology, 1-15, 2023.
- Fürböck C., Perkonigg M., Helbich T., Pinker K., Romeo V., & Langs G. "Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types" International Conference on Medical Image Computing and Computer-Assisted Intervention. MICCAI 2022. Springer, 2022.
- Perkonigg M., Hofmanninger J. & Langs G. "Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition" Information Processing in Medical Imaging. IPMI 2021. (pp. 649-660). Springer, Cham. 2021.
- Perkonigg M., Hofmanninger, J., Brink J. A., Pianykh O., Herold C., & Langs G. "Dynamic memory to alleviate catastrophic forgetting in continuous learning settings" International Conference on Medical Image Computing and Computer-Assisted Intervention. MICCAI 2020 (pp. 359-368). Springer, Cham. 2020
- Perkonigg M., Hofmanninger J., Menze B., Weber MA., & Langs G. "Detecting Bone Lesions in Multiple Myeloma Patients Using Transfer Learning" Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis. PIPPI 2018, DATRA 2018. (pp. 20-30). Springer, Cham. 2018.