Grading heart sounds through variational mode decomposition and higher order spectral features. - Madhusudhan Mishra; Sawon Pratiher; Sanmitra Banerjee; Anirban Mukherjee 001 (I2MTC, 2018)

Detection of Third Heart Sound Using Variational Mode Decomposition. - Madhusudhan Mishra; Sanmitra Banerjee; Dennis C. Thomas; Sagnik Dutta; Anirban Mukherjee 001 (IEEE Trans. Instrum. Meas., 2018)

Detection of Heart Murmurs for Imbalanced Dataset Using Adaptive Synthetic Sampling Approach. - Madhusudhan Mishra; Anirban Mukherjee 001 (I2MTC, 2019)

Classification of short unsegmented heart sound based on deep learning. - Sinam Ajitkumar Singh; Swanirbhar Majumder; Madhusudhan Mishra (I2MTC, 2019)

Classification of Spirometry Using Stacked Autoencoder based Neural Network. - Sudipto Trivedy; Manish Goyal 004; Madhusudhan Mishra; Narsingh Verma; Anirban Mukherjee 001 (I2MTC, 2019)

Characterization of S1 and S2 Heart Sounds Using Stacked Autoencoder and Convolutional Neural Network. - Madhusudhan Mishra; Hrishikesh Menon; Anirban Mukherjee 001 (IEEE Trans. Instrum. Meas., 2019)

Novel Pre-processing Stage for Classification of CT Scan Covid-19 Images. - Dhurairajan Vijayalakshmi; Malaya Kumar Nath; Madhusudhan Mishra (SIGMAP, 2021)

Real-Time Heart Murmur Classification using Attention Based Deep Learning Approach. - Venkatesh Vakamullu; Madhusudhan Mishra; Anirban Mukherjee 001 (I2MTC, 2022)

Convolutional Neural Network Based Heart Sounds Recognition on Edge Computing Platform. - Venkatesh Vakamullu; Sudipto Trivedy; Madhusudhan Mishra; Anirban Mukherjee 001 (I2MTC, 2022)

MFeRNet: A Deep CNN Approach for Detecting Median Filter Tampering in Re-Compressed Images. - Vijayakumar Kadha; Kamireddy Rasool Reddy; Santos Kumar Das; Madhusudhan Mishra (APCC, 2024)