I apply artificial intelligence and data science tools to solve some of the most challenging biomedical issues using the largest collection of brain MRI, the largest collection of electronic health records (EHR) data, the largest collection of retina imaging data (2D fundus and 3D OCT retina images), the largest genetic data, microscopy images text and structured data.
MD, machine Learning, deep Learning.
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selfsupervised-training-ehr
selfsupervised-training-ehr PublicUnsupervised pretraining of EHR data
Python
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spatial-analysis-CRC
spatial-analysis-CRC PublicSpatial analysis of county-level Colorectal Cancer incidence in Texas
R
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self_supervised_cardiomegaly_detector
self_supervised_cardiomegaly_detector PublicCardiomegaly detection from Chest X ray
Jupyter Notebook
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