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Science and medicine

Biomedical Informatics, Emory University

Department of Biomedical Informatics (BMI), Emory University School of Medicine

deep learninghadoopjavamachine learningmedical imagingpythontensorflow

Participation history

2 GSoC years

2019

4 projects

Official year page

Graphical User Interface for Tensorflow

The idea of this project is to make a software in which a user can make deep learning models in an easy way using a graphical user interface with...

Machine Learning Model Support for Digital Pathology

The following modules are to be integrated with caMicroscope: Creating a workflow to allow model developers to allow their model to be run on a...

Deep Learning based Visual Recommendations

We come up with models that give the effective and efficient visualizations as recommendations to the given input. Current visualization tools...

Security Enhancements to Bindaas Data Integration Middleware

Bindaas acts as a unified interface to various data sources like Apache Drill, MySQL and MongoDB. The aim of this project is to add new modules that...

2016

5 projects

Official year page

De-Mystifying Medical Imaging DICOM Data

A lot of Medical Imaging data used and shared today is formatted using the DICOM standard. It can be collected and rendered into a Descriptive Data...

Multi-resolution Analysis of Pathology Data with Convolutional Neural Networks (CNNs)

The ultimate goal of this project is exploring high and low-resolution images techniques for performing high-level inferences over complete tissue...

Information Visualizations using Datascope

DataScope is an interactive dashboard system for doing exploratory analysis on large biomedical datasets. Currently the dashboard is splitted into...

Near Duplicate Detection in Medical Image Archives Proposal

I plan to complete the project with method of classification and indexing technology on Spark as well as Hazelcast if necessary. Hope for more...

Building Survival Models from Genomic Data with Google TensorFlow

Large-scale cancer genomic research, such as TCGA project generated huge amount of high-dimensional data, yet most features are under-explored for...