Search Results for author: Aditya Sriram

Found 5 papers, 0 papers with code

Forming Local Intersections of Projections for Classifying and Searching Histopathology Images

no code implementations8 Aug 2020 Aditya Sriram, Shivam Kalra, Morteza Babaie, Brady Kieffer, Waddah Al Drobi, Shahryar Rahnamayan, Hany Kashani, Hamid. R. Tizhoosh

In this paper, we propose a novel image descriptor called Forming Local Intersections of Projections (FLIP) and its multi-resolution version (mFLIP) for representing histopathology images.

Fine-tuning

Projectron -- A Shallow and Interpretable Network for Classifying Medical Images

no code implementations15 Mar 2019 Aditya Sriram, Shivam Kalra, H. R. Tizhoosh

This paper introduces the `Projectron' as a new neural network architecture that uses Radon projections to both classify and represent medical images.

Learning Autoencoded Radon Projections

no code implementations27 Sep 2017 Aditya Sriram, Shivam Kalra, H. R. Tizhoosh, Shahryar Rahnamayan

Autoencoders have been recently used for encoding medical images.

Learning Opposites Using Neural Networks

no code implementations16 Sep 2016 Shivam Kalra, Aditya Sriram, Shahryar Rahnamayan, H. R. Tizhoosh

In this paper, we introduce an approach to learn type-II opposites from the given inputs and their outputs using the artificial neural networks (ANNs).

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