Numerical Studies of Vane-type Fishnet Metamaterial Structure. - Purushothaman Narasimhan; Samit Kumar Ghosh (TENCON, 2019)

Automated detection of heart valve diseases using chirplet transform and multiclass composite classifier with PCG signals. - Samit Kumar Ghosh; R. N. Ponnalagu; R. K. Tripathy 001; U. Rajendra Acharya (Comput. Biol. Medicine, 2020)

Development of Automated Sleep Stage Classification System Using Multivariate Projection-Based Fixed Boundary Empirical Wavelet Transform and Entropy Features Extracted from Multichannel EEG Signals. - Rajesh Kumar Tripathy; Samit Kumar Ghosh; Pranjali Gajbhiye; U. Rajendra Acharya (Entropy, 2020)

Detection of Atrial Fibrillation from Single Lead ECG Signal Using Multirate Cosine Filter Bank and Deep Neural Network. - Samit Kumar Ghosh; R. K. Tripathy 001; Mario Roberto Arrieta Paternina; Juan J. Arrieta; Alejandro Zamora-Méndez; Ganesh R. Naik (J. Medical Syst., 2020)

Classification of PCG Signals using Fourier-based Synchrosqueezing Transform and Support Vector Machine. - Samit Kumar Ghosh; Rajesh Kumar Tripathy; R. N. Ponnalagu (IEEE SENSORS, 2021)

Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals. - Daksh Maheshwari; Samit Kumar Ghosh; R. K. Tripathy 001; Manish Sharma 001; U. Rajendra Acharya (Comput. Biol. Medicine, 2021)

AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals. - Tejas Radhakrishnan; Jay Karhade; Samit Kumar Ghosh; Priya Ranjan Muduli; R. K. Tripathy 001; U. Rajendra Acharya (Comput. Biol. Medicine, 2021)

Automated Heart Sound Activity Detection From PCG Signal Using Time-Frequency-Domain Deep Neural Network. - Samit Kumar Ghosh; R. N. Ponnalagu; Rajesh Kumar Tripathy; Ganapati Panda; Ram Bilas Pachori (IEEE Trans. Instrum. Meas., 2022)

Time-Frequency-Domain Deep Learning Framework for the Automated Detection of Heart Valve Disorders Using PCG Signals. - Jay Karhade; Shaswati Dash; Samit Kumar Ghosh; Dinesh Kumar Dash; Rajesh Kumar Tripathy (IEEE Trans. Instrum. Meas., 2022)

FHSU-NETR: Transformer-Based Deep Learning Model for the Detection of Fetal Heart Sounds in Phonocardiography. - Murad Almadani; Mohanad Alkhodari; Samit Kumar Ghosh; Ahsan H. Khandoker (CinC, 2023)

Fhsu-Net: Deep Learning-Based Model for the Extraction of Fetal Heart Sounds in Abdominal Phonocardiography. - Mohanad Alkhodari; Murad Almadani; Samit Kumar Ghosh; Ahsan H. Khandoker (MLSP, 2023)

Multiscale Analysis Domain Interpretable Deep Neural Network for Detection of Breast Cancer Using Thermogram Images. - Anurag Gade; Dinesh Kumar Dash; T. Mita Kumari; Samit Kumar Ghosh; Rajesh Kumar Tripathy; Ram Bilas Pachori (IEEE Trans. Instrum. Meas., 2023)

Machine Learning Framework for Early Detection of Chronic Kidney Disease Stages Using Optimized Estimated Glomerular Filtration Rate. - Samit Kumar Ghosh; Namareq Widatalla; Ahsan H. Khandoker (IEEE Access, 2025)

Classification of Short-Segment Pediatric Heart Sounds Based on a Transformer-Based Convolutional Neural Network. - Md Hassanuzzaman; Samit Kumar Ghosh; Mohammad Nurul Akhtar Hasan; Mohammad Abdullah-Al-Mamun; Khawza I. Ahmed; Raqibul Mostafa; Ahsan H. Khandoker (IEEE Access, 2025)

Extraction of fetal heartbeat locations in abdominal phonocardiograms using deep attention transformer. - Murad Almadani; Mohanad Alkhodari; Samit Kumar Ghosh; Leontios J. Hadjileontiadis; Ahsan Khandoker (Comput. Biol. Medicine, 2025)