3 papers
eess.IV2025
The Efficacy of Semantics-Preserving Transformations in Self-Supervised Learning for Medical Ultrasound
Blake VanBerlo, Alexander Wong, Jesse Hoey +1
Data augmentation is a central component of joint embedding self-supervised learning (SSL). Approaches that work for natural images may not always be effective in medical imaging t…
eess.IV2024
Intra-video Positive Pairs in Self-Supervised Learning for Ultrasound
Blake VanBerlo, Alexander Wong, Jesse Hoey +1
Self-supervised learning (SSL) is one strategy for addressing the paucity of labelled data in medical imaging by learning representations from unlabelled images. Contrastive and no…
cs.CV2023
Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent Lung Sliding in M-Mode Lung Ultrasound
Blake VanBerlo, Brian Li, Alexander Wong +2
Self-supervised pretraining has been observed to improve performance in supervised learning tasks in medical imaging. This study investigates the utility of self-supervised pretrai…