Reproducing and Improving CheXNet: Deep Learning for Chest X-ray Disease Classification
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Dec 21, 2025 - Jupyter Notebook
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macro-f1
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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
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Jul 22, 2024 - Python
ICCV 2021 Workshop: MIA-COV19D : A lightweight automated solution for COVID-19 diagnosis using image processing techniques and Convolutional Neural Networks
deep-learning image-classification lightweight-framework cnn-model medical-image-processing covid19-data macro-f1
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Jul 22, 2024 - Python
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
cnn medical-imaging classification convolutional-neural-networks unet segmentaion k-means-clustering covid-19 region-based-segmentation macro-f1
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Jul 22, 2024 - Python
A robust news article classification system combining a two-stage editorial bias modeling strategy with transformer-based ensemble methods under noisy, real-world data conditions.
data-science machine-learning natural-language-processing deep-learning text-classification transformers ensemble-learning news-classification macro-f1 robust-modeling editorial-bias two-stage-classification
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Feb 5, 2026 - Jupyter Notebook
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