most citedMulti-Task Learning Approach for Unified Biometric Estimation from Fetal Ultrasound Anomaly Scans

1 citations · 2 across the 2 of their papers we have counts for

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2 papers

eess.IV2024★ 1 cited

Leveraging Self-Supervised Learning for Fetal Cardiac Planes Classification using Ultrasound Scan Videos

Joseph Geo Benjamin, Mothilal Asokan, Amna Alhosani +5

Self-supervised learning (SSL) methods are popular since they can address situations with limited annotated data by directly utilising the underlying data distribution. However, th…

eess.IV2023★ 1 cited

Multi-Task Learning Approach for Unified Biometric Estimation from Fetal Ultrasound Anomaly Scans

Mohammad Areeb Qazi, Mohammed Talha Alam, Ibrahim Almakky +3

Precise estimation of fetal biometry parameters from ultrasound images is vital for evaluating fetal growth, monitoring health, and identifying potential complications reliably. Ho…