1. HR-TRACK: An rPPG Method for Heartrate Monitoring Using Temporal Convolution Networks. Lokendra Birla, Sneha Shukla, Trishna Saikia, and Puneet Gupta. In International Conference on Pattern Recognition (ICPR). (pp. 370-385). Cham: Springer Nature Switzerland. (2024)
2. Exploring the feasibility of adversarial attacks on medical image segmentation.Sneha Shukla, Anup Kumar Gupta, and Puneet Gupta. In Multimedia Tools and Applications. 83(4). 11745-11768. (2024)
3. Trustworthy medical image segmentation with improved performance for in-distribution samples.Sneha Shukla, Lokendra Birla, Anup Kumar Gupta, and Puneet Gupta. In Neural Networks. 166. 127-136. (2023)
4. ALPINE: Improving remote heart rate estimation using contrastive learning. Lokendra Birla, Sneha Shukla, Anup Kumar Gupta, and Puneet Gupta. In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). (pp. 5029-5038). (2023)
5. Feature extraction and analysis of overt and covert EEG signals with speller devices. Mridu Sahu, Saumya Vishwal, S. Usha Srivalli, Sneha Shukla, and Sanjivani Shantaiya. In International Journal of Advanced Intelligence Paradigms. 26(2). (pp.124-142). (2023)
6. EEG signal analysis and classification on P300 speller-based BCI performance in ALS patients. Mridu Sahu, Shrish Verma, Naresh Kumar Nagwani and Sneha Shukla. In International Journal of Medical Engineering and Informatics. 12(4). (pp.375-400). (2020)
7. Applying Auto-Regressive Model's Yule-Walker Approach to Amyotrophic Lateral Sclerosis (ALS) patients' Data. Mridu Sahu, Saumya Vishwal, Srungaram Usha Srivalli, Naresh K. Nagwani, Shrish Verma, and Sneha Shukla. In Current Medical Imaging. 15(8). (pp.749-760). (2019)
8. Impact of feature selection on EEG based motor imagery. Mridu Sahu, and Sneha Shukla. In Information and Communication Technology for Competitive Strategies: Proceedings of Third International Conference on ICTCS 2017. (pp. 749-762). Springer Singapore. (2019)