Search Results for author: Kaushik Sarveswaran

Found 6 papers, 5 papers with code

KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow

1 code implementation MIDL 2019 Balamurali Murugesan, Sricharan Vijayarangan, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam

In our work, we propose a knowledge distillation (KD) framework for the image to image problems in the MRI workflow in order to develop compact, low-parameter models without a significant drop in performance.

Image Restoration Knowledge Distillation +3

A context based deep learning approach for unbalanced medical image segmentation

1 code implementation8 Jan 2020 Balamurali Murugesan, Kaushik Sarveswaran, Vijaya Raghavan S, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam

Foreground-background class imbalance is a common occurrence in medical images, and U-Net has difficulty in handling class imbalance because of its cross entropy (CE) objective function.

Medical Image Segmentation Semantic Segmentation

Recon-GLGAN: A Global-Local context based Generative Adversarial Network for MRI Reconstruction

1 code implementation25 Aug 2019 Balamurali Murugesan, Vijaya Raghavan S, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam

Our experiments show that the concept of a context discriminator can be extended to existing GAN based reconstruction models to offer better performance.

MRI Reconstruction

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