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Hi there 👋

I am Chaithya G R, a Doctral student working with Philippe CIUCIU at Neurospin, CEA Paris-Saclay. I work with Inria in the MIND team and Neurospin in the METRIC team

The topic of my PhD is deep learning for joint optimizing k-space sampling trajectory and MRI reconstruction, particularly non-Cartesian MRI. This made me interested in all things connected to:

  • convex non-smooth optimization
  • MRI and healthcare, particularly trajectory design, sequence development and reconstructions
  • deep learning

I like to write TensorFlow, PyTorch codes not only to write neural networks but also to build other related functionalities. I particularly love to build onto algorithms to drastically speed up computations through GPU implementations or parallel computations, algorithmic development etc. Open source is definitely my motto.

Chaithya G R's Projects

bindings-nufft-pytorch icon bindings-nufft-pytorch

Bindings to use a NUFFT in pytorch with differentiation with respect to the input and to the positions.

bjork icon bjork

PyTorch implementation of 'B-spline Parameterized Joint Optimization of Reconstruction and K-space Trajectories (BJORK) for Accelerated 2D MRI''

cuml icon cuml

cuML - RAPIDS Machine Learning Library

evaluate icon evaluate

A simple repo to evaluate python, git and DL skills for a bachelors student on Jupyter notebooks

finufft icon finufft

Non-uniform fast Fourier transform library of types 1,2,3 in dimensions 1,2,3

gadgetron icon gadgetron

Gadgetron - Medical Image Reconstruction Framework

gitsocial icon gitsocial

Add social media icons to your GitHub README files.

gpunufft icon gpunufft

gpuNUFFT - An Open-Source GPU Library for 3D Gridding with Direct Matlab Interface

jayehernandez icon jayehernandez

Includes the README used in my Github Profile // Source code for my personal site that uses 11ty and TailwindCSS

keops icon keops

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows

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