C. Matsoukas

1. What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors
   2022/03/02 by C. Matsoukas, Matsoukas, Christos, Johan Fredin Haslum +7 · 4 citations
   Computer Science · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
2. Are Natural Domain Foundation Models Useful for Medical Image Classification?
   2023/10/30 by Joana Palés Huix, Huix, Joana Palés, Johan Fredin Haslum +8 · 6 citations
   Medicine · #COVID-19 diagnosis using AI #Radiomics and Machine Learning in Medical Imaging #Artificial Intelligence in Healthcare and Education
3. PatchDropout: Economizing Vision Transformers Using Patch Dropout
   2022/08/10 by Yue Liu, C. Matsoukas, Liu, Yue +7 · 2 citations
   Computer Science · Neuroscience · #Advanced Neural Network Applications #Brain Tumor Detection and Classification #Domain Adaptation and Few-Shot Learning
4. Pretrained ViTs Yield Versatile Representations For Medical Images
   2023/03/13 by C. Matsoukas, Johan Fredin Haslum, Matsoukas, Christos +6 · 1 citation
   Computer Science · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging