Haslum, Johan Fredin

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 · 7 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, Ganeshan, Adithya Raju +8 · 10 citations
   Medicine · #COVID-19 diagnosis using AI #Radiomics and Machine Learning in Medical Imaging #Artificial Intelligence in Healthcare and Education
3. Is it Time to Replace CNNs with Transformers for Medical Images?
   2021/08/20 by Christos Matsoukas, Johan Fredin Haslum, Matsoukas, Christos +5 · 4 citations
   Computer Science · Medicine · #AI in cancer detection #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. Pretrained ViTs Yield Versatile Representations For Medical Images
   2023/03/13 by C. Matsoukas, Johan Fredin Haslum, Matsoukas, Christos +6 · 3 citations
   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
5. Metadata-guided Consistency Learning for High Content Images
   2022/12/22 by Johan Fredin Haslum, Haslum, Johan Fredin, C. Matsoukas +7 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #Image Processing Techniques and Applications