Search Results for author:
Found 4 papers, 1 papers with code
Analysis of MRI Biomarkers for Brain Cancer Survival Prediction
In this scenario we analyse the potential of two novel neuroimaging feature families, extracted from brain parcellation atlases and spatial habitats, along with classical radiomic and geometric features; to study their combined predictive power for analysing overall survival.
Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders
Identifying who is infected with the Covid-19 virus is critical for controlling its spread.
Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset
On a test set of 20 unseen COVID-19 cases all were correctly classified and more than 95% of 4171 other pneumonia examples were correctly classified.
Iterative Deep Learning Based Unbiased Stereology With Human-in-the-Loop
In this paper, we introduce an iterative deep learning based method to improve segmentation and counting of cells based on unbiased stereology applied to regions of interest of extended depth of field (EDF) images.
