Deep Learning Method for Estimation of Morphological Parameters Based on CT Scans

In this study, we propose a Convolutional Neural Network (CNN) with an assembly of non-linear fully connected layers for estimating body height and weight using a limited amount of data. This method can predict the parameters within acceptable clinical limits for most of the cases even when trained with limited data

ValveValid

The ValveValid dataset provides a comprehensive set of measurements for the aortic valve. This document outlines the structure of the dataset, how the data was acquired, and guidelines for effective use. This dataset aims to support research and development in the field of cardiac health by providing detailed geometric data on aortic valves. The ValveValid dataset contains measurement sizes (in millimeters) of the aortic valve from 402 patients, divided into two groups based on valve type: Edwards Sapien 3 and Medtronic CoreValve Evolut R. The dataset is stored in an Excel file, comprising various measurements typical for analyzing the aortic valve geometry