Functionality for transforming dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) series.

A Python utility for generating DCE Phantoms from patient data.

General utility functions written in MATLAB as part of a software toolkit for analyzing dynamic contrast-enhanced magnetic resonance imaging (dce-mri) data.

Enhance unreadable, low-light whiteboard photos for OCR using Zero-DCE. This AI tool estimates pixel-wise curves to lift shadows without paired data. By normalizing exposure and applying adaptive thresholding, it boosts text contrast. Deliverables include a Python utility and a benchmark report proving higher Tesseract accuracy rates.