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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.

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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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.

portfolio

publications

talks

teaching

Teaching Assistant (Computer Science)

Undergraduate course, Computer Science Department, BITS Pilani - India, 2017

Course: Computer Programming Teaching Assistant to Professor Barsha Mitra for the course CS F111 Computer Programming (Lecture, Practical).

Teaching Assistant (Economics)

Undergraduate courses, Economics Department, BITS Pilani - India, 2018

Courses:

  • Teaching Assistant to the head of the Economics department Prof. Sudatta Banerjee for Economic Environment of Business course.
  • Teaching assistant to Prof. Bheemeshwar for the courses Econometric Methods, and, Economics of Growth and Development.

Undergraduate Research Intern

Undergraduate Thesis, Computational Data Science Department, Indian Institute of Science, 2019

Research Intern in the Medical Image Processing (MIG) lab headed by Prof.Phaneendra Yalavarthy of the Computational Data Science department at IISc, Bangalore.

Graduate Research Assistant (IISc)

Graduate Research, Computational Data Science Department, Indian Institute of Science, 2020

Research Assistant in the Medical Image Processing (MIG) lab headed by Prof.Phaneendra Yalavarthy of the Computational Data Science department at IISc, Bangalore. My research was in collaboration with the Royal Dutch Shell Technology Centre, Bangalore - India

Graduate Research Assistant (UPenn)

Graduate Research, World Well-Being Project, University of Pennsylvania, 2021

Research Assistant to Dr. Lyle Ungar, Professor in Computer and Information Science at Penn Engineering and Psychology at the School of Arts & Sciences, and, Dr. Sharath Chandra Guntuku, an Assistant Professor (Research) in the Department of Computer and Information Science at the University of Pennsylvania.