cxr

🩻 NV-Reason-CXR-3B is a specialized vision-language model designed for medical reasoning and interpretation of chest X-ray images.

com.rokid.cxr.client-m library for Python

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

A safety-first clinical AI backend that combines medical image analysis, database-backed clinical research, and retrieval-augmented reasoning.

Multi-label Chest X-ray classification on ChestMNIST using LISA (Language-Invariant Semantic Anchoring) and PaQ (Pathology-as-Query) with conformal safety guarantees, evidential deep learning, and post-hoc calibration.

Hybrid ML models (GBM, RF, SVM) for Chest X-Ray disease classification

Controlled benchmark studying whether DANN domain adaptation improves retrieval or damages embedding neighborhood structure.

Designed and implemented a deep learning pipeline using ResNet50 and DenseNet121 for post-COVID lung fibrosis detection from chest X-rays, achieving 74% accuracy with optimized data processing.

Controlled benchmark for studying CXR-text contrastive retrieval, image-report alignment, and retrieval failure modes.

Final assignment on course: Natural Language Processing, S1 Informatic, School of Computing, Telkom University Bandung, Indonesia