This repository contains the code to train ConvNeXt models on 3D NIfTI images or 2D slices derived from these images. The script allows you to customize various aspects of the training process, ...

Machine learning transforms the landscape of 2D materials design, particularly in accelerating discovery, optimization, and screening processes. This review has delved into the historical and ongoing ...

Researchers have developed excellent feed-forward models that learn to map images to desired outputs, such as to the images’ latent factors, or to other images, using supervised learning. Learning ...

This work introduces a novel level-set based scheme for the segmentation of protein spots in 2D-GE images. The proposed scheme incorporates a protein spot detection stage based on the identification ...

The intricate higher-order structure of chromatin within the cell nucleus has been extensively elucidated through the efforts of the four-dimensional nucleome (4DN) project (The 4D Nucleome Network et ...

AutoDCF automates DCF valuation using up-to-date financials (FMP), macro data (FRED), and Damodaran’s ERP. Includes FCFF forecasting, dynamic WACC, sensitivity heatmaps, and Monte Carlo simulation ...