Wearable Ultrasound Assessment of Lung Sliding in M-Mode: A Phantom Simulation-Based Study. - Khoa Tran; Sazedur Rahman; Yuu Ono; Sreeraman Rajan; Robert Arntfield (BIBE, 2022)

Accurate assessment of the lung sliding artefact on lung ultrasonography using a deep learning approach. - Blake VanBerlo; Derek Wu; Brian Li; Marwan A. Rahman; Gregory Hogg; Bennett VanBerlo; Jared Tschirhart; Alex Ford; Jordan Ho; Joseph McCauley; Benjamin Wu; Jason Deglint; et al. (Comput. Biol. Medicine, 2022)

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; Jesse Hoey; Robert Arntfield (CVPR Workshops, 2023)

Intra-video Positive Pairs in Self-Supervised Learning for Ultrasound. - Blake VanBerlo; Alexander Wong; Jesse Hoey; Robert Arntfield (CoRR, 2024)

The Efficacy of Semantics-Preserving Transformations in Self-Supervised Learning for Medical Ultrasound. - Blake VanBerlo; Alexander Wong; Jesse Hoey; Robert Arntfield (CoRR, 2025)