2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 2 cited
M-TabNet: A Multi-Encoder Transformer Model for Predicting Neonatal Birth Weight from Multimodal Data
Muhammad Mursil, Hatem A. Rashwan, Luis Santos-Calderon +3
Birth weight (BW) is a key indicator of neonatal health, with low birth weight (LBW) linked to increased mortality and morbidity. Early prediction of BW enables timely intervention…
cs.CV2024
Adaptive Affinity-Based Generalization For MRI Imaging Segmentation Across Resource-Limited Settings
Eddardaa B. Loussaief, Mohammed Ayad, Domenc Puig +1
The joint utilization of diverse data sources for medical imaging segmentation has emerged as a crucial area of research, aiming to address challenges such as data heterogeneity, d…