Published in ICCV 2023 workshop CVAMD in Paris, 2023
We proposed a supervised feature selection approach to select appropriate features in low data regimes for clinical relevance an understanding.
Recommended citation: Saurav Chennuri, Sha Lai, Anne Billot, Maria Varkanitsa, Emily Braun, Swathi Kiran, Archana Venkataraman, Janusz Konrad, Prakash Ishwar, Margrit Betke. (2023). ;ICCV CVAMD.
Published in IEEE High Performance Extreme Computing, 2022
Recommended citation: Andrew Wood, Moshik Hershcovitch, Ilias Ennmouri, Weiyu Zong, Saurav Chennuri, Sarel Cohen, Swaminathan Sundararaman, Daniel Waddington, Peter Chin. (2020).; IEEE High Performance Extreme Computing. https://ieeexplore.ieee.org/xpl/conhome/9926284/proceeding
Published in Medical Image Understanding and Analysis, 2022
This is an abstract of features analysis of MRI scans for prediction of WAB-AQ scores.
Recommended citation: Saurav Chennuri, Prakash Ishwar, Swathi Kiran, Margrit Betke. (2022). ;MIUA. https://drive.google.com/drive/folders/1g7Lx0pfP39dUVCBgDXtNb2iSi1DnJipc
Published in Journal of Acoustic Society of America, 2021
In this paper we analyse the important features of sloshing noises from fuel tanks of hybrid vehicles and construct a CNN model to classify different noises in the fuel tanks with good accuracy
Recommended citation: Golla Siva Teja, Chennuri Saurav Vara Prasad, B Venkatesham, K. Sri Rama Murthy. (2021). ; Journal of Acoustic Society of America. https://asa.scitation.org/doi/abs/10.1121/10.0004829