CoviXNet: A novel and efficient deep learning model for detection of COVID-19 using chest X-Ray images. - Gaurav Srivastava 012; Aninditaa Chauhan; Mahesh Jangid; Sandeep Chaurasia (Biomed. Signal Process. Control., 2022)

Ensemble of Deep Neural Networks based on Condorcet's Jury Theorem for screening Covid-19 and Pneumonia from radiograph images. - Gaurav Srivastava 012; Nitesh Pradhan; Yashwin Saini (Comput. Biol. Medicine, 2022)

Multi-view Sparse Laplacian Eigenmaps for nonlinear Spectral Feature Selection. - Gaurav Srivastava 012; Mahesh Jangid (ICSSE, 2023)

CJT-DEO: Condorcet's Jury Theorem and Differential Evolution Optimization based ensemble of deep neural networks for pulmonary and Colorectal cancer classification. - Gaurav Srivastava 012; Aninditaa Chauhan; Nitesh Pradhan (Appl. Soft Comput., 2023)

Handling imbalanced class in melanoma: Kemeny-Young rule based optimal rank aggregation and Self-Adaptive Differential Evolution Optimization. - Gaurav Srivastava 012; Nitesh Pradhan (Eng. Appl. Artif. Intell., 2023)

ApneaNet: A hybrid 1DCNN-LSTM architecture for detection of Obstructive Sleep Apnea using digitized ECG signals. - Gaurav Srivastava 012; Aninditaa Chauhan; Nitigya Kargeti; Nitesh Pradhan; Vijaypal Singh Dhaka (Biomed. Signal Process. Control., 2023)