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ORCIDChristos Matsoukas
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2020 – today
- 2024
[b1]Christos Matsoukas:
Artificial Intelligence for Medical Image Analysis with Limited Data. Royal Institute of Technology, Stockholm, Sweden, 2024- [c6]Joana Palés Huix, Adithya Raju Ganeshan, Johan Fredin Haslum, Magnus Söderberg, Christos Matsoukas, Kevin Smith:
Are Natural Domain Foundation Models Useful for Medical Image Classification? WACV 2024: 7619-7628 - [c5]Johan Fredin Haslum, Christos Matsoukas, Karl-Johan Leuchowius, Kevin Smith:
Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation. WACV 2024: 7723-7732 - [i9]Emir Konuk, Christos Matsoukas, Moein Sorkhei, Phitchapha Lertsiravaramet, Kevin Smith:
Learning from Offline Foundation Features with Tensor Augmentations. CoRR abs/2410.02527 (2024) - 2023
- [c4]Johan Fredin Haslum, Christos Matsoukas, Karl-Johan Leuchowius, Erik Müllers, Kevin Smith:
Metadata-guided Consistency Learning for High Content Images. MIDL 2023: 918-936 - [c3]Yue Liu, Christos Matsoukas, Fredrik Strand, Hossein Azizpour, Kevin Smith:
PatchDropout: Economizing Vision Transformers Using Patch Dropout. WACV 2023: 3942-3951 - [i8]Christos Matsoukas, Johan Fredin Haslum, Magnus Söderberg, Kevin Smith:
Pretrained ViTs Yield Versatile Representations For Medical Images. CoRR abs/2303.07034 (2023) - [i7]Joana Palés Huix, Adithya Raju Ganeshan, Johan Fredin Haslum, Magnus Söderberg, Christos Matsoukas, Kevin Smith:
Are Natural Domain Foundation Models Useful for Medical Image Classification? CoRR abs/2310.19522 (2023) - [i6]Johan Fredin Haslum, Christos Matsoukas, Karl-Johan Leuchowius, Kevin Smith:
Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation. CoRR abs/2311.12623 (2023) - 2022
- [c2]Christos Matsoukas, Johan Fredin Haslum, Moein Sorkhei, Magnus Söderberg, Kevin Smith:
What Makes Transfer Learning Work for Medical Images: Feature Reuse & Other Factors. CVPR 2022: 9215-9224 - [i5]Christos Matsoukas, Johan Fredin Haslum, Moein Sorkhei, Magnus Söderberg, Kevin Smith:
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors. CoRR abs/2203.01825 (2022) - [i4]Yue Liu, Christos Matsoukas, Fredrik Strand, Hossein Azizpour, Kevin Smith:
PatchDropout: Economizing Vision Transformers Using Patch Dropout. CoRR abs/2208.07220 (2022) - [i3]Johan Fredin Haslum, Christos Matsoukas, Karl-Johan Leuchowius, Erik Müllers, Kevin Smith:
Metadata-guided Consistency Learning for High Content Images. CoRR abs/2212.11595 (2022) - 2021
- [i2]Christos Matsoukas, Johan Fredin Haslum, Magnus Söderberg, Kevin Smith:
Is it Time to Replace CNNs with Transformers for Medical Images? CoRR abs/2108.09038 (2021) - 2020
- [c1]Christos Matsoukas, Albert Bou I Hernandez, Yue Liu, Karin Dembrower, Gisele Miranda, Emir Konuk, Johan Fredin Haslum, Athanasios Zouzos, Peter Lindholm, Fredrik Strand, Kevin Smith:
Adding seemingly uninformative labels helps in low data regimes. ICML 2020: 6775-6784 - [i1]Christos Matsoukas
, Albert Bou I Hernandez, Yue Liu, Karin Dembrower, Gisele Miranda, Emir Konuk, Johan Fredin Haslum, Athanasios Zouzos, Peter Lindholm, Fredrik Strand, Kevin Smith:
Adding Seemingly Uninformative Labels Helps in Low Data Regimes. CoRR abs/2008.00807 (2020)
2010 – 2019
- 2019
- [j2]Vasileios Tzallas, Nikos Hatzianastassiou, Nikolaos Benas, Jan Fokke Meirink, Christos Matsoukas, Paul W. Stackhouse Jr., Ilias Vardavas:
Evaluation of CLARA-A2 and ISCCP-H Cloud Cover Climate Data Records over Europe with ECA&D Ground-Based Measurements. Remote. Sens. 11(2): 212 (2019) - 2014
- [j1]N. Cleridou, Nikolaos Benas, Christos Matsoukas, Barry F. W. Croke, I. Vardavas:
Water resources of Cyprus under changing climatic conditions: Modelling approach, validation and limitations. Environ. Model. Softw. 60: 202-218 (2014)
Coauthor Index
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