Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Deep brain stimulation
BrainStimulator is a set of networks that are used in SCIRun to perform simulations of brain stimulation such as transcranial direct current stimulation (tDCS) and magnetic transcranial stimulation (TMS).
Developing software tools for science has always been a central vision of the SCI Institute.

Events on October 19, 2020

Dr. Ipek Oguz, Assistant Professor of Computer Science and Computer Engineering at Vanderbilt University Presents:

Noise Reduction via Image Fusion

October 19, 2020 at 12:00pm for 1hr
Zoom (link sent via Imaging mailing list e-mail)


Reducing noise is an important task for improving visual and automated assessment of medical images. In this talk I will primarily use retinal OCT images as a target application; OCT images suffer from considerable speckle noise. Traditional image/signal processing methods only offer moderate speckle reduction; deep learning methods can be more effective but require substantial training data, which may not be readily available. I will describe our novel self-fusion method that offers effective speckle reduction comparable to deep learning methods, but without any external training data. I will present qualitative and quantitative results in a variety of datasets from fovea and optic nerve head regions, with varying SNR values for input images. I will also talk about our recent work to combine deep learning and self-fusion for excellent denoising performance and computational efficiency. 

Posted by: Cuong Ly