Shivani R Rapole

Shivani R Rapole

CIS Graduate student at the University of Pennsylvania with specialization in Machine Learning

Ensemble Learning for Deep Learning-based MRI Super Resolution

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In this article, the concept of ensemble learning and its usage in deep learning for super resolution is discussed with the help of one of its applications in the paper ‘MRI Super-Resolution with Ensemble Learning and Complementary Priors’ as an example.

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Super Resolution and its Recent Advances in Deep Learning — Part 1

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This article is mainly aimed at Machine Learning and Computer Vision enthusiasts with little or no background in these fields. In this part, I briefly introduced the concept of Super-Resolution and its confounding applications in various fields. I also discussed a few initial algorithms which paved the way to current progress in this domain.

EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis

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Published:

In this article, the highlights of EnhanceNet paper for single image super-resolution and the performance of various versions of it are discussed. I would like to mainly emphasize its loss functions which are responsible for a perceptual quality close to the original high-resolution image.