IDU-CVLab

A mobile-friendly solution for COVID-19 diagnosis from CT images using Mobile ViT transformers

ECCV 2022 Workshop: AI-enabled Medical Image Analysis – Digital Pathology & Radiology/COVID19 : An easy-to-understand and lightweight Transfer Learning-based solutions for COVID-19 diagnosis

ICCV 2021 Workshop: MIA-COV19D : A lightweight automated solution for COVID-19 diagnosis using image processing techniques and Convolutional Neural Networks

ICASSP 2023: AI-enabled Medical Image Analysis Workshop and Covid-19 Diagnosis Competition (AI-MIA-COV19D): An accurate automated solution for COVID-19 diagnosis using UNet segmentation, lung extraction, and classification framework

Tubitak119e578 project: A novel detection and restoration pipeline for Phase Contrast Microscopy Time Series images

Extending our COVID-19 solution to Common Pneumonia cases

TUBITAK 119e578 project: A simple approach for Blank frame detection and video reconstruction

End to end cell tracking code for TUBITAK 119e578 project.

Preprocessing images with focus on segmentation of CT slices

Prerocessing the images before classification as well as visualizations aiming at understanding how the final model performs classification