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

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

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2 papers

cs.CV2024

A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation

Mothilal Asokan, Joseph Geo Benjamin, Mohammad Yaqub +1

Adapting foundation models for medical image analysis requires finetuning them on a considerable amount of data because of extreme distribution shifts between natural (source) data…

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…