1 citations · 1 across the 3 of their papers we have counts for
3 papers
Towards Visually Explaining Statistical Tests with Applications in Biomedical Imaging
Masoumeh Javanbakhat, Piotr Komorowski, Dilyara Bareeva +3
Deep neural two-sample tests have recently shown strong power for detecting distributional differences between groups, yet their black-box nature limits interpretability and practi…
Assessing Uncertainty Estimation Methods for 3D Image Segmentation under Distribution Shifts
Masoumeh Javanbakhat, Md Tasnimul Hasan, Cristoph Lippert
In recent years, machine learning has witnessed extensive adoption across various sectors, yet its application in medical image-based disease detection and diagnosis remains challe…
A Probabilistic Approach to Self-Supervised Learning using Cyclical Stochastic Gradient MCMC
Masoumeh Javanbakhat, Christoph Lippert
In this paper we present a practical Bayesian self-supervised learning method with Cyclical Stochastic Gradient Hamiltonian Monte Carlo (cSGHMC). Within this framework, we place a…