TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

This repository is a debiassing project on CXR Dataset with embedding which is publicly available.

Building an AI model for chest X-ray under patient privacy guarantees

Chest X-ray classification

Graph Convolutional Neural Network as an explainable Pneumonia classifier

Source code for pretraining models on the CheXpert dataset, for lung patterns analaysis - CORSA Project

RadLLaMA-Thinking is a multimodal LLM for chest X-ray report generation. It builds on LLaMA-3.2 Vision with: Large-scale training on MIMIC-CXR + CheXpert Plus 10-step reasoning distillation for transparent clinical logic Efficient 4-bit deployment (Unsloth + bitsandbytes) ⚠️ Research/educational use only — not for autonomous clinical decisions.

TB Portals Chest X-Ray Outlier Detector

[IEEE-IRI 2023] "A Fully Connected Reproducible SE-UResNet for Multiorgan Chest Radiographs Segmentation" by Debojyoti Pal, Tanushree Meena, and Sudipta Roy.

For the Semester-Final Team Project, my friends and I have built a CNN model to classify chest X-ray images into Normal, COVID-19, and Pneumonia (Viral/Bacterial) cases.