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Madhusudhan Mishra
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2020 – today
- 2022
- [c7]Venkatesh Vakamullu, Madhusudhan Mishra, Anirban Mukherjee:
Real-Time Heart Murmur Classification using Attention Based Deep Learning Approach. I2MTC 2022: 1-6 - [c6]Venkatesh Vakamullu, Sudipto Trivedy, Madhusudhan Mishra, Anirban Mukherjee:
Convolutional Neural Network Based Heart Sounds Recognition on Edge Computing Platform. I2MTC 2022: 1-6 - 2021
- [c5]Dhurairajan Vijayalakshmi, Malaya Kumar Nath, Madhusudhan Mishra:
Novel Pre-processing Stage for Classification of CT Scan Covid-19 Images. SIGMAP 2021: 87-94
2010 – 2019
- 2019
- [j2]Madhusudhan Mishra, Hrishikesh Menon, Anirban Mukherjee:
Characterization of S1 and S2 Heart Sounds Using Stacked Autoencoder and Convolutional Neural Network. IEEE Trans. Instrum. Meas. 68(9): 3211-3220 (2019) - [c4]Madhusudhan Mishra, Anirban Mukherjee:
Detection of Heart Murmurs for Imbalanced Dataset Using Adaptive Synthetic Sampling Approach. I2MTC 2019: 1-5 - [c3]Sinam Ajitkumar Singh, Swanirbhar Majumder, Madhusudhan Mishra:
Classification of short unsegmented heart sound based on deep learning. I2MTC 2019: 1-6 - [c2]Sudipto Trivedy, Manish Goyal, Madhusudhan Mishra, Narsingh Verma, Anirban Mukherjee:
Classification of Spirometry Using Stacked Autoencoder based Neural Network. I2MTC 2019: 1-5 - 2018
- [j1]Madhusudhan Mishra, Sanmitra Banerjee, Dennis C. Thomas, Sagnik Dutta, Anirban Mukherjee:
Detection of Third Heart Sound Using Variational Mode Decomposition. IEEE Trans. Instrum. Meas. 67(7): 1713-1721 (2018) - [c1]Madhusudhan Mishra, Sawon Pratiher, Sanmitra Banerjee, Anirban Mukherjee:
Grading heart sounds through variational mode decomposition and higher order spectral features. I2MTC 2018: 1-5
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