Adding seemingly uninformative labels helps in low data regimes. - 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 001 (ICML, 2020)

Is it Time to Replace CNNs with Transformers for Medical Images? - Christos Matsoukas; Johan Fredin Haslum; Magnus Söderberg; Kevin Smith 001 (CoRR, 2021)

What Makes Transfer Learning Work for Medical Images: Feature Reuse & Other Factors. - Christos Matsoukas; Johan Fredin Haslum; Moein Sorkhei; Magnus Söderberg; Kevin Smith 001 (CVPR, 2022)

Metadata-guided Consistency Learning for High Content Images. - Johan Fredin Haslum; Christos Matsoukas; Karl-Johan Leuchowius; Erik Müllers; Kevin Smith 001 (MIDL, 2023)

Pretrained ViTs Yield Versatile Representations For Medical Images. - Christos Matsoukas; Johan Fredin Haslum; Magnus Söderberg; Kevin Smith 001 (CoRR, 2023)

Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation. - Johan Fredin Haslum; Christos Matsoukas; Karl-Johan Leuchowius; Kevin Smith 001 (WACV, 2024)

Are Natural Domain Foundation Models Useful for Medical Image Classification? - Joana Palés Huix; Adithya Raju Ganeshan; Johan Fredin Haslum; Magnus Söderberg; Christos Matsoukas; Kevin Smith 001 (WACV, 2024)

k-NN as a Simple and Effective Estimator of Transferability. - Moein Sorkhei; Christos Matsoukas; Johan Fredin Haslum; Kevin Smith 001 (CoRR, 2025)