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Hi there, I'm Amrit šŸ‘‹

I'm a Student, Research Scholar @ IIT-Madras!!

  • āš” Intro : I am an MS student, in the dept of Electrical Sciences, IIT-M
  • šŸ’„I work @ Healthcare Technologies Innovation Centre,IIT-M, Research Park.
  • šŸ”­ Iā€™m currently working on Deep learning based algorithms to speed-up MRI imaging
  • šŸŒ± Iā€™m learning Deep Learning
  • šŸ“ŗ Fun fact: I am a cinephile šŸ“½ļø. We can discuss Sherlock, Sheldon Cooper, Starwars and Self-supervised learning all @ same time šŸ˜„

Always happy to connect: šŸ˜ƒ

codeSTACKr | LinkedIn codeSTACKr | LinkedIn codeSTACKr | LinkedIn codeSTACKr | LinkedIn



amritkumar's Projects

adv-ss-pretraining icon adv-ss-pretraining

[CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning

bart icon bart

BART: Toolbox for Computational Magnetic Resonance Imaging

calgary_midl icon calgary_midl

semi-self supervised learning apporch to solved MC-MRI Reconstruction Calgary challenge

convdecoder icon convdecoder

An un-trained neural network with a potential application in accelerated MRI

danet icon danet

Dual Attention Network for Scene Segmentation (CVPR2019)

dautomap icon dautomap

Implementation of dAUTOMAP (ISMRM2019) in Pytorch

dualencoder icon dualencoder

Dual-Encoder-Unet : Official PyTorch Implementation (ISBI-w 2020)

fastmri icon fastmri

A large-scale dataset of both raw MRI measurements and clinical MRI images

sigmanet icon sigmanet

Sigmanet: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction,

singan icon singan

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

t1t2 icon t1t2

reconstructing FS T2 from US T2 using FS T1

vs-net icon vs-net

Variable splitting network for accelerated parallel MRI reconstruction

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