27 citations · 33 across the 6 of their papers we have counts for
6 papers
Domain-Specific Foundation Model Improves AI-Based Analysis of Neuropathology
Ruchika Verma, Shrishtee Kandoi, Robina Afzal +34
Foundation models have transformed computational pathology by providing generalizable representations from large-scale histology datasets. However, existing models are predominantl…
Predict Patient Self-reported Race from Skin Histological Images
Shengjia Chen, Ruchika Verma, Kevin Clare +6
Artificial Intelligence (AI) has demonstrated success in computational pathology (CPath) for disease detection, biomarker classification, and prognosis prediction. However, its pot…
Estimating nonlinear stability from time series data
Adrian van Kan, Jannes Jegminat, Jonathan Donges
Basin stability (BS) is a measure of nonlinear stability in multi-stable dynamical systems. BS has previously been estimated using Monte-Carlo simulations, which requires the expli…
Learning as filtering: implications for spike-based plasticity
Jannes Jegminat, Jean-Pascal Pfister
Most normative models in computational neuroscience describe the task of learning as the optimisation of a cost function with respect to a set of parameters. However, learning as o…
Bayesian regression explains how human participants handle parameter uncertainty
Jannes Jegminat, Maya Jastrzebowska, Matt Pachai +2
The human brain copes with sensory uncertainty in accordance with Bayes' rule. However, it is unknown how the brain makes predictions in the presence of parameter uncertainty. Here…
Constrained basin stability for studying transient phenomena in dynamical systems
Adrian van Kan, Jannes Jegminat, Jonathan Donges +1
Transient dynamics are of large interest in many areas of science. Here, a generalization of basin stability (BS) is presented: constrained basin stability (CBS) that is sensitive…