Reproducing and Improving CheXNet: Deep Learning for Chest X-ray Disease Classification
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Updated
Feb 24, 2026 - Jupyter Notebook
Reproducing and Improving CheXNet: Deep Learning for Chest X-ray Disease Classification
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
Machine learning project for classifying cybersecurity incidents (TP, BP, FP) using the GUIDE dataset. Includes data preprocessing, feature engineering, model benchmarking, and evaluation with macro-F1, precision, and recall. Supports SOC automation, threat detection, and enterprise security management.
A robust news article classification system combines a two-stage linear analysis of SEO-driven editorial style features with an independent embedding-based semantic analysis using transformer ensemble methods, under noisy, real-world data conditions.
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