3 papers
cs.CV2026
Pretext Matters: An Empirical Study of SSL Methods in Medical Imaging
Vedrana IveziÄ, Mara Pleasure, Ashwath Radhachandran +7
Though self-supervised learning (SSL) has demonstrated incredible ability to learn robust representations from unlabeled data, the choice of optimal SSL strategy can lead to vastly…
cs.CV2026
US-JEPA: A Joint Embedding Predictive Architecture for Medical Ultrasound
Ashwath Radhachandran, Vedrana IveziÄ, Shreeram Athreya +3
Ultrasound (US) imaging poses unique challenges for representation learning due to its inherently noisy acquisition process. The low signal-to-noise ratio and stochastic speckle pa…
cs.CV2025
CytoFM: The first cytology foundation model
Vedrana IveziÄ, Ashwath Radhachandran, Ekaterina Redekop +5
Cytology is essential for cancer diagnostics and screening due to its minimally invasive nature. However, the development of robust deep learning models for digital cytology is cha…