104 citations · 254 across the 13 of their papers we have counts for
4 papers · 1 filter
STAR: Noisy Semi-Supervised Transfer Learning for Visual Classification
Hasib Zunair, Yan Gobeil, Samuel Mercier +1
Semi-supervised learning (SSL) has proven to be effective at leveraging large-scale unlabeled data to mitigate the dependency on labeled data in order to learn better models for vi…
Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation
Hasib Zunair, A. Ben Hamza
The U-Net architecture, built upon the fully convolutional network, has proven to be effective in biomedical image segmentation. However, U-Net applies skip connections to merge se…
Synthetic COVID-19 Chest X-ray Dataset for Computer-Aided Diagnosis
Hasib Zunair, A. Ben Hamza
We introduce a new dataset called Synthetic COVID-19 Chest X-ray Dataset for training machine learning models. The dataset consists of 21,295 synthetic COVID-19 chest X-ray images…
ViPTT-Net: Video pretraining of spatio-temporal model for tuberculosis type classification from chest CT scans
Hasib Zunair, Aimon Rahman, Nabeel Mohammed
Pretraining has sparked groundswell of interest in deep learning workflows to learn from limited data and improve generalization. While this is common for 2D image classification t…