Computational Biology | Deep Learning | Survival analysis Efficient Training of Probabilistic Neural Networks for Survival Analysis. June 21, 2024
Epidemiology | Neurology | Oncology A Bayesian convolutional neural network-based generalized linear model. June 18, 2024
Medical Physics | Radiation Oncology Feasibility of Monte Carlo dropout-based uncertainty maps to evaluate deep learning-based synthetic CTs for adaptive proton therapy. November 13, 2023
Radiology Uncertainty estimation for deep learning-based pectoral muscle segmentation via Monte Carlo dropout. May 3, 2023
Ophthalmology | Radiology Improving the repeatability of deep learning models with Monte Carlo dropout. November 18, 2022
Neurology | Radiology Bayesian deep learning-based H-MRS of the brain: Metabolite quantification with uncertainty estimation using Monte Carlo dropout. March 28, 2022
Neurology | Sleep Medicine DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates. October 14, 2021
Dermatology | Medical Image Analysis | Radiology Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning. May 30, 2021
Meteorology A generative adversarial network approach to (ensemble) weather prediction. March 4, 2021
Neurology Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals. May 30, 2020