Search Results for author:
Found 5 papers, 0 papers with code
CycleGAN Models for MRI Image Translation
This study proposes the development of a CycleGAN model for translating neuroimages from one field strength to another (e. g., 3 Tesla to 1. 5).
Quantifying Deep Learning Model Uncertainty in Conformal Prediction
Precise estimation of predictive uncertainty in deep neural networks is a critical requirement for reliable decision-making in machine learning and statistical modeling, particularly in the context of medical AI.
Artificial Intelligence Nomenclature Identified From Delphi Study on Key Issues Related to Trust and Barriers to Adoption for Autonomous Systems
The rapid integration of artificial intelligence across traditional research domains has generated an amalgamation of nomenclature.
Towards Robust Deep Learning with Ensemble Networks and Noisy Layers
In this paper we provide an approach for deep learning that protects against adversarial examples in image classification-type networks.
Mixed Strategy Game Model Against Data Poisoning Attacks
We then propose a mixed extension of our game model and an algorithm to approximate the Nash Equilibrium strategy for the defender.
