athertya

athertya

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demo_repo

this is a flatiron tutorial of git and its exercises

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Flatiron_PG_DS

NYC Live Data Science Course Master

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RadImageNet

RadImageNet, a pre-trained convolutional neural networks trained solely from medical imaging to be used as the basis of transfer learning for medical imaging applications.

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DE4DS

⭕️ Data Engineering for Data Scientists

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machine-learning-interview-enlightener

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

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ElastixModelZoo

Model Zoo for parameter settings in Elastix, ITKElastix and SimpleElastix

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MRSignalsSeqs

Stanford University Rad229 Class Code: MRI Signals and Sequences

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Image-Registration

An easy flow automating the registration of MRI images in Elastix

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mri_unbound

Code from the mri_unbound website

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MURA-ensemble

This repo is an initial implementation of MURA AI diagnosis

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MultiPropReg

Optimization learning for image registration.

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study-group

Deep Learning Study Group

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Deep_Learning_Pytorch

Python Deep learning models with deployment

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kspace_precond

Scripts to reproduce experiments for k-space preconditioning

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radiomics

MATLAB programming tools for radiomics analysis

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SERA

Standardized Environment for Radiomics Analysis

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msk_segmentation

Fully-Automated Cartilage and Meniscus Segmentation for Knee MRI

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MRI-Reconstruction

An open source implementation of the deep learning platform for undersampled MRI reconstruction described by Hyun et. al. (https://arxiv.org/pdf/1709.02576.pdf)

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