Machine Learning code to extract information from 3D MRI brain scans
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Updated
Feb 15, 2017 - Python
Machine Learning code to extract information from 3D MRI brain scans
Convolutional AutoEncoder application on MRI images
Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images
A Tensorflow implementation of SegNet for cardiac MRI segmentation
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CNN for Synovitis Segmentation in MRI
Source software being developed for the Indigenous MRI project in India as well as software resources developed/implemented at MIRC-DSI
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Code for analyzing medical images saved as .dicom files
6th Inter-IIT Tech Meet 2018
Accurate Early Detection of GBM Brain Cancer With Deep Learning (AI) - Silver Medal Finalist at GVRSF 2019
A deep learning based approach for brain tumor MRI segmentation.
FLAIR abnormality segmentation in brain MRI
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Algorithm created with Python to semi-automatically segment various depots of fat based on a Dixon sequence abdominal MRI scan. Anatomical landmarks of the MRI scan must be manually identified.
Deep learning based skull stripping and FLAIR abnormality segmentation in brain MRI using U-Net
HVSMR 2016: MICCAI Workshop on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease
Rigid registration for 3D MRI
CNN for segmentation of 3D images
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