Novel Method of Using Dynamic Electrical Impedance Signals for Noninvasive Diagnosis of Knee Osteoarthritis. - Suhas S. Gajre; Sneh Anand; U. Singh; Rajendra K. Saxena (EMBC, 2006)

ECG Denoising by Modeling Wavelet Sub-Band Coefficients using Kernel Density Estimation. - Shubhada Ardhapurkar; Ramchandra Manthalkar; Suhas S. Gajre (J. Inf. Process. Syst., 2012)

Suppression of Impulsive Noise using Adaptive Filters. - Shankar Gupta; Ramchandra Manthalkar; Suhas S. Gajre (CinC, 2013)

New Improved Methodology for ECG Signal Compression. - Rupali Tornekar; Suhas S. Gajre (CinC, 2017)

Comparative Study of Lossless ECG Signal Compression Techniques for Wireless Networks. - Rupali Tornekar; Suhas S. Gajre (CinC, 2017)

A Local Self-Similarity-Based Vehicle Detection Approach Using Single Query Image. - Bhakti Baheti; Krishnan Kutty; Suhas S. Gajre; Sanjay N. Talbar (CVIP (2), 2017)

Local gray level S-curve transformation - A generalized contrast enhancement technique for medical images. - Akash Gandhamal; Sanjay N. Talbar; Suhas S. Gajre; Ahmad Fadzil M. Hani; Dileep Kumar (Comput. Biol. Medicine, 2017)

Fully automated subchondral bone segmentation from knee MR images: Data from the Osteoarthritis Initiative. - Akash Gandhamal; Sanjay N. Talbar; Suhas S. Gajre; Ruslan Razak; Ahmad Fadzil M. Hani; Dileep Kumar (Comput. Biol. Medicine, 2017)

Detection of Distracted Driver Using Convolutional Neural Network. - Bhakti Baheti; Suhas S. Gajre; Sanjay N. Talbar (CVPR Workshops, 2018)

Cluster-based real-time analysis of mobile healthcare application for prediction of physiological data. - Sagar B. Tambe; Suhas S. Gajre (J. Ambient Intell. Humaniz. Comput., 2018)

Semantic Scene Understanding in Unstructured Environment with Deep Convolutional Neural Network. - Bhakti Baheti; Suhas S. Gajre; Sanjay N. Talbar (TENCON, 2019)

Eff-UNet: A Novel Architecture for Semantic Segmentation in Unstructured Environment. - Bhakti Baheti; Shubham Innani; Suhas S. Gajre; Sanjay N. Talbar (CVPR Workshops, 2020)

Semantic scene segmentation in unstructured environment with modified DeepLabV3+. - Bhakti Baheti; Shubham Innani; Suhas S. Gajre; Sanjay N. Talbar (Pattern Recognit. Lett., 2020)

Towards Computationally Efficient and Realtime Distracted Driver Detection With MobileVGG Network. - Bhakti Baheti; Sanjay N. Talbar; Suhas S. Gajre (IEEE Trans. Intell. Veh., 2020)

Pedestrian Detection and Movement Direction Recognition with Convolutional Neural Network. - Bhakti Baheti; Shubham Innani; Suhas S. Gajre; Sanjay N. Talbar (PReMI, 2021)

Mindfulness intervention for improving cognitive abilities using EEG signal. - Shankar Gupta; Ramchandra R. Manthalkar; Suhas S. Gajre (Biomed. Signal Process. Control., 2021)

Classification of cross task cognitive workload using deep recurrent network with modelling of temporal dynamics. - Shankar Gupta; Trupti J. Taori; Mahesh Y. Ladekar; Ramchandra R. Manthalkar; Suhas S. Gajre; Yashwant V. Joshi (Biomed. Signal Process. Control., 2021)

Cognitive workload classification: Towards generalization through innovative pipeline interface using HMM. - Trupti J. Taori; Shankar Gupta; Suhas S. Gajre; Ramchandra R. Manthalkar (Biomed. Signal Process. Control., 2022)

Real-Time Clustering and Classification of Physiological Big Data for Healthcare Monitoring. - Sagar B. Tambe; Suhas S. Gajre; Dipti D. Patil (IECON, 2023)

Implementation of Efficient Vedic Multiplier and Its Performance Evaluation. - Ashutosh Mugatkar; Suhas S. Gajre (J. Circuits Syst. Comput., 2023)

EEG signal-based classification of mental tasks using a one-dimensional ConvResT model. - Gunda Manasa; Krashana D. Nirde; Suhas S. Gajre; Ramachandra R. Manthalkar (Neural Comput. Appl., 2024)