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09/21/2023
Improving VTE Identification through Adaptive NLP Model Selection and Clinical Expert Rule-based Classifier from Radiology Reports
Rapid and accurate identification of Venous thromboembolism (VTE), a sev...
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09/21/2023
Enabling Quartile-based Estimated-Mean Gradient Aggregation As Baseline for Federated Image Classifications
Federated Learning (FL) has revolutionized how we train deep neural netw...
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09/21/2023
Soft Merging: A Flexible and Robust Soft Model Merging Approach for Enhanced Neural Network Performance
Stochastic Gradient Descent (SGD), a widely used optimization algorithm ...
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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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09/05/2021
Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning
Adversarial attacks attempt to disrupt the training, retraining and util...
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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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10/02/2020
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
Generating Realistic COVID19 X-rays with a Mean Teacher + Transfer Learning GAN
COVID-19 is a novel infectious disease responsible for over 800K deaths ...
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04/18/2019