1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation Tasks
Blake VanBerlo, Brian Li, Jesse Hoey +1
In this study, we investigated whether self-supervised pretraining could produce a neural network feature extractor applicable to multiple classification tasks in B-mode lung ultra…
cs.LG2023★ 1 cited
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images
Blake VanBerlo, Jesse Hoey, Alexander Wong
Self-supervised pretraining has been observed to be effective at improving feature representations for transfer learning, leveraging large amounts of unlabelled data. This review s…
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…