37 citations · 38 across the 5 of their papers we have counts for
5 papers
FetSelect: Task-Specific Architectures and Self-Supervised Learning for Automated Fetal Ultrasound Frame Selection
Mahmood Alzubaidi, Raden Muaz, Uzair Shah +4
Automated frame selection for fetal biometry remains under addressed, with most prior work targeting generic quality assessment or downstream measurement pipelines that assume suit…
FADA: Accessible fetal ultrasound interpretation and annotation with a selectively distilled unified vision-language model
Mahmood Alzubaidi, Uzair Shah, Raden Muaz +6
A global shortage of trained sonographers limits prenatal ultrasound screening in low- and middle-income countries, where over half of pregnant women receive no skilled sonography.…
Focus on What Matters: Two-Stage ROI-Aware Refinement for Anatomy-Preserving Fetal Ultrasound Reconstruction
Ines Abbes, Mahmood Alzubaidi, Mowafa Househ +3
Measurement-critical ultrasound tasks often depend on a small anatomical region, making global reconstruction metrics an unreliable proxy for clinical fidelity. We propose an ROI-a…
Multi-Modal Perceiver Language Model for Outcome Prediction in Emergency Department
Sabri Boughorbel, Fethi Jarray, Abdulaziz Al Homaid +2
Language modeling have shown impressive progress in generating compelling text with good accuracy and high semantic coherence. An interesting research direction is to augment these…
Towards deep observation: A systematic survey on artificial intelligence techniques to monitor fetus via Ultrasound Images
Mahmood Alzubaidi, Marco Agus, Khalid Alyafei +6
Developing innovative informatics approaches aimed to enhance fetal monitoring is a burgeoning field of study in reproductive medicine. Several reviews have been conducted regardin…