Automatic detection of Alzheimer's disease from EEG signals using low-complexity orthogonal wavelet filter banks. - Digambar V. Puri; Sanjay L. Nalbalwar; Anil B. Nandgaonkar; Jayanand P. Gawande; Abhay Wagh (Biomed. Signal Process. Control., 2023)

Whether Prediction using Auto-correlation and Machine Learning Algorithms. - Shruti V. Bharati; Sanjay S. Shitole; Shakti Sharma; Digambar V. Puri (IGARSS, 2024)

LEADNet: Detection of Alzheimer's Disease Using Spatiotemporal EEG Analysis and Low-Complexity CNN. - Digambar V. Puri; Pramod H. Kachare; Sandeep B. Sangle; Raimund Kirner; Abdoh M. A. Jabbari; Ibrahim AlShourbaji; Mohammed Abdalraheem; Abdalla Alameen (IEEE Access, 2024)

Metaheuristic optimized time-frequency features for enhancing Alzheimer's disease identification. - Digambar V. Puri; Pramod H. Kachare; Sanjay L. Nalbalwar (Biomed. Signal Process. Control., 2024)

EEG-Based Systematic Explainable Alzheimer's Disease and Mild Cognitive Impairment Identification Using Novel Rational Dyadic Biorthogonal Wavelet Filter Banks. - Digambar V. Puri; Sanjay L. Nalbalwar; Pallavi P. Ingle (Circuits Syst. Signal Process., 2024)

Explaining electroencephalogram channel and subband sensitivity for alcoholism detection. - Sandeep B. Sangle; Pramod H. Kachare; Digambar V. Puri; Ibrahem Al-Shourbaji; Abdoh M. A. Jabbari; Raimund Kirner (Comput. Biol. Medicine, 2025)