Automated EEG pathology detection based on different convolutional neural network models: Deep learning approach. - Rishabh Bajpai; Yuvaraj Rajamanickam; A. Amalin Prince (Comput. Biol. Medicine, 2021)

MoveNet: A Deep Neural Network for Joint Profile Prediction Across Variable Walking Speeds and Slopes. - Rishabh Bajpai; Deepak Joshi (IEEE Trans. Instrum. Meas., 2021)

DeprNet: A Deep Convolution Neural Network Framework for Detecting Depression Using EEG. - Ayan Seal; Rishabh Bajpai; Jagriti Agnihotri; Anis Yazidi; Enrique Herrera-Viedma; Ondrej Krejcar (IEEE Trans. Instrum. Meas., 2021)

Dynamic Musculoskeletal Simulation of a Passive Exoskeleton for Simulating Contracture. - Rishabh Bajpai; Deepak Joshi (EMBC, 2022)

A Novel Instrumented Outsole for Real-Time Foot Kinematic Measurements: Validation Across Different Speeds and Simulated Foot Landing. - Rishabh Bajpai; Ashutosh Tiwari 004; Anant Jain; Deepak Joshi (IEEE Trans. Instrum. Meas., 2022)

Benchmarks for machine learning in depression discrimination using electroencephalography signals. - Ayan Seal; Rishabh Bajpai; Karnati Mohan; Jagriti Agnihotri; Anis Yazidi; Enrique Herrera-Viedma; Ondrej Krejcar (Appl. Intell., 2023)

Functional connectivity and power spectral density analysis of EEG signals in trained practitioners of Bhramari pranayama. - Nitesh Singh Malan; Aayushi Khajuria; Rishabh Bajpai; Dimpy Kapoor; Medha Kulkarni; Deepak Joshi (Biomed. Signal Process. Control., 2023)

SecurePose: Automated Face Blurring and Human Movement Kinematics Extraction from Videos Recorded in Clinical Settings. - Rishabh Bajpai; Bhooma Aravamuthan (CoRR, 2024)