3 papers
q-bio.QM2026
JUMP-lite: Compact, reproducible benchmarking of cell representations
Alán F. Muñoz, Johan Fredin Haslum, Runxi Shen +2
Image-based profiling captures rich phenotypic signatures for drug discovery and functional genomics. Large public datasets like JUMP Cell Painting now provide millions of images f…
cs.LG2025
k-NN as a Simple and Effective Estimator of Transferability
Moein Sorkhei, Christos Matsoukas, Johan Fredin Haslum +2
How well can one expect transfer learning to work in a new setting where the domain is shifted, the task is different, and the architecture changes? Many transfer learning metrics…
cs.CV2024
Pretrained ViTs Yield Versatile Representations For Medical Images
Christos Matsoukas, Johan Fredin Haslum, Moein Sorkhei +2
Convolutional Neural Networks (CNNs) have reigned for a decade as the de facto approach to automated medical image diagnosis, pushing the state-of-the-art in classification, detect…