Automatic segmentation of the carotid artery and internal jugular vein from 2D ultrasound images for 3D vascular reconstruction. - Leah A. Groves; Blake VanBerlo; Natan Veinberg; Abdulrahman Alboog; Terry M. Peters; Elvis C. S. Chen (Int. J. Comput. Assist. Radiol. Surg., 2020)

Improving central line needle insertions using in-situ vascular reconstructions. - Leah A. Groves; Natalie Li; Blake VanBerlo; Natan Veinberg; Terry M. Peters; Elvis C. S. Chen (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021)

Univariate Long-Term Municipal Water Demand Forecasting. - Blake VanBerlo; Matthew A. S. Ross; Daniel Hsia (CoRR, 2021)

Dream to Explore: Adaptive Simulations for Autonomous Systems. - Zahra Sheikhbahaee; Dongshu Luo; Blake VanBerlo; S. Alex Yun; Adam Safron; Jesse Hoey (CoRR, 2021)

Interpretable machine learning approaches to prediction of chronic homelessness. - Blake VanBerlo; Matthew A. S. Ross; Jonathan Rivard; Ryan Booker (Eng. Appl. Artif. Intell., 2021)

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)

Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation Tasks. - Blake VanBerlo; Brian Li; Jesse Hoey; Alexander Wong (IEEE Access, 2023)

A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images. - Blake VanBerlo; Jesse Hoey; Alexander Wong (CoRR, 2023)

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

A survey of the impact of self-supervised pretraining for diagnostic tasks in medical X-ray, CT, MRI, and ultrasound. - Blake VanBerlo; Jesse Hoey; Alexander Wong (BMC Medical Imaging, 2024)

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