Improving Retention Time of 1T DRAM using Electrostatic Barrier: Proposal and Analysis. - Shivendra Singh; Ekta Tiwari; Abhinav Gupta; Sneh Saurabh (VLSID, 2024)

Attention-based hybrid deep learning models and its scientific validation for cardiovascular disease risk stratification. - Mrinalini Bhagawati; Siddharth Gupta; Sudip Paul; Laura E. Mantella; Amer M. Johri; John R. Laird; Ekta Tiwari; Narendra N. Khanna; Andrew Nicolaides; Rajesh Singh; Mustafa Al-Maini; Luca Saba; et al. (Biomed. Signal Process. Control., 2025)

Artificial intelligence-based multiclass diabetes risk stratification for big data embedded with explainability: From machine learning to attention models. - Ekta Tiwari; Siddharth Gupta; Anudeep Pavulla; Mustafa Al-Maini; Rajesh Singh; Esma R. Isenovic; Sumit Chaudhary; John L. Laird; Laura E. Mantella; Amer M. Johri; Luca Saba; Jasjit S. Suri (Biomed. Signal Process. Control., 2025)

Navigating the artificial intelligence revolution in neuro-oncology: A multidisciplinary viewpoint. - Sanjay Saxena; Soumyaranjan Panda; Ekta Tiwari; Rajesh Singh; Mostafa M. Fouda; Mannudeep K. Kalra; Ketan Kotecha; Luca Saba; Jasjit S. Suri (Neurocomputing, 2025)