Impact of Maternal Nutrition on Neonatal Birthweight: A Machine Learning Study. - Muhammad Mursil; Hatem A. Rashwan; Luis Santos-Calderon; Michelle M. Murphy; Domenec Puig (CCIA, 2024)

Transformer-Based Bi-encoder for Early Neonatal Birth Weight Prediction Using Maternal Nutritional and Health Insights. - Muhammad Mursil; Hatem A. Rashwan; Adnan Khalid; Luis Santos-Calderon; Pere Cavallé-Busquets; Michelle M. Murphy; Domenec Puig (AIME (2), 2025)

Interpretable deep neural networks for advancing early neonatal birth weight prediction using multimodal maternal factors. - Muhammad Mursil; Hatem A. Rashwan; Adnan Khalid; Pere Cavallé-Busquets; Luis Santos-Calderon; Michelle M. Murphy; Domenec Puig (J. Biomed. Informatics, 2025)

M-TabNet: A Multi-Encoder Transformer Model for Predicting Neonatal Birth Weight from Multimodal Data. - Muhammad Mursil; Hatem A. Rashwan; Luis Santos-Calderon; Pere Cavallé-Busquets; Michelle M. Murphy; Domenec Puig (CoRR, 2025)