MedRAX: Medical Reasoning Agent for Chest X-ray - ICML 2025

COVID-19 Detection Using Chest X-Ray

[DALI 2022] "Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study" by Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, Ronald M. Summers, Yifan Peng, and Zhangyang Wang

🫁 Chest X-ray abnormalities localization via ensemble of deep convolutional neural networks

Deep learning model for pneumonia detection in chest X-rays using TensorFlow and Streamlit

[MICCAI 2023] "How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?" by Gregory Holste et al.

Securing Collaborative Medical AI by Using Differential Privacy

Ethnic bias analysis in medical imaging AI: Demonstrating that explainable-by-design models achieve 80% bias reduction across 5 ethnic groups (50k images)

COVID-19 Detection Using CXR and Attention Guided CNN

Official implementation of Set Prediction in the Latent Space (LSP)

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

[EMNLP 2025 Main] CREPE: Rapid Chest X-ray Report Evaluation by Predicting Multi-category Error Counts

State-of-the-Art Pneumonia detection from chest X-rays system using EfficientNetV2 + FPN + Faster R-CNN. Features Focal Loss, Weighted Box Fusion, Mosaic Augmentation & StratifiedGroupKFold. Built for RSNA Pneumonia Detection Challenge. Achieves competitive mAP with mixed-precision training.

Keras implementation of different types of Generative Adversarial Networks (GANs)

Detecting presence of COVID-19 from Chest X-ray scans using CNN and Class Activation Maps

This repository uses preprocessing technics such as image growing and erosion and dilation to crop the lungs from chest X-ray images.

COVID-19 X-ray Deep Learning Classifier | ResNet50 | 92.1% ROC-AUC | Grad-CAM Explainability | Streamlit Dashboard

🩺 This repository is made to contain a deep learning-based pneumonia detection system from chest X-ray images

A deep learning classifier built with PyTorch and MONAI to detect Popcorn Lung (Bronchiolitis Obliterans) from chest X-ray images. This binary classifier uses a fine-tuned ResNet18 model includes full training and evaluation pipelines and is designed to be Google Colab-ready for rapid prototyping and testing in medical imaging research.

Multimodal CXR+EMR deep learning pipeline for pneumonia diagnosis. Built for my Masters FYP (2025).