Weakly Supervised Learning for Findings Detection in Medical Images

Identifying diseases in chest X-rays using convolutional neural networks

Segmentation Guided Thoracic Classification

The official implementation of "Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification"

ICVGIP' 18 Oral Paper - Classification of thoracic diseases on ChestX-Ray14 dataset

Simple study on ViT performance in medical image classification

Detecting Shortcuts in Medical Images - A Case Study in Chest X-rays - ISBI 2023

Weakly supervised Classification and Localization of Chest X-ray images

Securing Collaborative Medical AI by Using Differential Privacy

CXR-ACGAN: Auxiliary Classifier GAN (AC-GAN) for Chest X-Ray (CXR) Images Generation (Pneumonia, COVID-19 and healthy patients) for the purpose of data augmentation. Implemented in TensorFlow, trained on COVIDx CXR-3 dataset.

System to apply evolutionary mutations to the structure of AmoebaNet-D, using a domain specific dataset.

Implementation of Deep Neural Networks to solve Medical Image Classification using Chest XRay Images

A study of former and current state of the art image classification methods on the NIH ChestXRay14 Dataset

ChestX pre-trained model

Weakly Supervised Learning for Findings Detection in Medical Image

Comprehensive Analysis of Domain Transferability Using Deep-Learning-Based Interpretation of Chest Radiographs

Pleural Effusion Classifier Model PyTorch

This repo contains the source code of my undergraduate thesis project.

A datasheet for the ChestX-ray8 dataset, a.k.a. ChestX-ray14