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06/28/2022
Semi-supervised Contrastive Outlier removal for Pseudo Expectation Maximization (SCOPE)
Semi-supervised learning is the problem of training an accurate predicti...
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10/01/2021
CCS-GAN: COVID-19 CT-scan classification with very few positive training images
We present a novel algorithm that is able to classify COVID-19 pneumonia...
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04/02/2021
Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network
We present a novel conditional Generative Adversarial Network (cGAN) arc...
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10/19/2020
Lung Nodule Classification Using Biomarkers, Volumetric Radiomics and 3D CNNs
We present a hybrid algorithm to estimate lung nodule malignancy that co...
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10/02/2020
Deep Expectation-Maximization for Semi-Supervised Lung Cancer Screening
We present a semi-supervised algorithm for lung cancer screening in whic...
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09/26/2020