Selected Portfolio of Open Source projects
Deep and transfer learning for 3D images
Automated pre-processing and classification of MRI images using a pre-trained DenseNet-201 convolutional neural network to distinguish multiple sclerosis from small vessel disease.
Matlab • Python • Shell • R • ITK/Snap
Highly Cited Statistical Measure
Created Deep ROC Analysis, the concordant partial AUC and partial C statistic, to evaluate classifiers and tests in specific risk groups. Why? AUC and the C statistic are averages across all groups and partial AUC is erroneous.
Python
Generative self and deep learning for table data
A self-learned and generative deep autoencoder for prediction with thousands of variables in the Canadian Community Health Survey (CCHS)
Python
Generative self and deep learning for 2D images
Self-learned and generative deep convolutional autoencoders to classify heptocellular carcinoma in ultrasound images.
Python
Automated and standard machine learning for 2D images
Automated and standard machine learning with factor analysis and radiomics for X-rays to distinguish operating pneumonia from mimics.
Python