| Development of a convolutional neural network to differentiate among the etiology of similar appearing pathological B lines on lung ultrasound: a deep learning study R Arntfield, B VanBerlo, T Alaifan, N Phelps, M White, R Chaudhary, J Ho, ... BMJ open 11 (3), e045120, 2021 | 63 | 2021 |
| Automatic segmentation of the carotid artery and internal jugular vein from 2D ultrasound images for 3D vascular reconstruction LA Groves, B VanBerlo, N Veinberg, A Alboog, TM Peters, ECS Chen International journal of computer assisted radiology and surgery 15, 1835-1846, 2020 | 34 | 2020 |
| Interpretable machine learning approaches to prediction of chronic homelessness B VanBerlo, MAS Ross, J Rivard, R Booker Engineering Applications of Artificial Intelligence 102, 104243, 2021 | 33 | 2021 |
| Automation of lung ultrasound interpretation via deep learning for the classification of normal versus abnormal lung parenchyma: a multicenter study R Arntfield, D Wu, J Tschirhart, B VanBerlo, A Ford, J Ho, J McCauley, ... Diagnostics 11 (11), 2049, 2021 | 26 | 2021 |
| Accurate assessment of the lung sliding artefact on lung ultrasonography using a deep learning approach B VanBerlo, D Wu, B Li, MA Rahman, G Hogg, B VanBerlo, J Tschirhart, ... Computers in biology and medicine 148, 105953, 2022 | 15 | 2022 |
| Development of a deep learning classifier to accurately distinguish COVID-19 from look-a-like pathology on lung ultrasound R Arntfield, B VanBerlo, T Alaifan, N Phelps, M White, R Chaudhary, J Ho, ... MedRxiv, 2020.10. 13.20212258, 2020 | 13 | 2020 |
| Deep learning approach for automatic out‐of‐plane needle localisation for semi‐automatic ultrasound probe calibration LA Groves, B VanBerlo, TM Peters, ECS Chen Healthcare technology letters 6 (6), 204-209, 2019 | 11 | 2019 |
| Investigation of explainable predictions of COVID-19 infection from chest X-rays with machine learning B VanBerlo, M Ross Artificial Intelligence Lab, 2020 | 9 | 2020 |
| A survey of the impact of self-supervised pretraining for diagnostic tasks in medical X-ray, CT, MRI, and ultrasound B VanBerlo, J Hoey, A Wong BMC Medical Imaging 24 (1), 79, 2024 | 5 | 2024 |
| Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent Lung Sliding in M-Mode Lung Ultrasound B VanBerlo, B Li, A Wong, J Hoey, R Arntfield Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| Enhancing annotation efficiency with machine learning: Automated partitioning of a lung ultrasound dataset by view B VanBerlo, D Smith, J Tschirhart, B VanBerlo, D Wu, A Ford, J McCauley, ... Diagnostics 12 (10), 2351, 2022 | 5 | 2022 |
| Prospective real-time validation of a lung ultrasound deep learning model in the ICU C Dave, D Wu, J Tschirhart, D Smith, B VanBerlo, J Deglint, F Ali, ... Critical Care Medicine 51 (2), 301-309, 2023 | 4 | 2023 |
| Univariate long-term municipal water demand forecasting B VanBerlo, MAS Ross, D Hsia arXiv preprint arXiv:2105.08486, 2021 | 4 | 2021 |
| Automated Real-Time Detection of Lung Sliding Using Artificial Intelligence: A Prospective Diagnostic Accuracy Study HC Fiedler, R Prager, D Smith, D Wu, C Dave, J Tschirhart, B Wu, ... Chest, 2024 | 2 | 2024 |
| Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation Tasks B VanBerlo, B Li, J Hoey, A Wong IEEE Access 11, 135696-135707, 2023 | 2 | 2023 |
| Improving the Generalizability and Performance of an Ultrasound Deep Learning Model Using Limited Multicenter Data for Lung Sliding Artifact Identification D Wu, D Smith, B VanBerlo, A Roshankar, H Lee, B Li, F Ali, M Rahman, ... Diagnostics 14 (11), 1081, 2024 | 1 | 2024 |
| A survey of the impact of self-supervised pretraining for diagnostic tasks with radiological images B VanBerlo, J Hoey, A Wong arXiv preprint arXiv:2309.02555, 2023 | 1 | 2023 |
| Intra-video positive pairs in self-supervised learning for ultrasound B VanBerlo, A Wong, J Hoey, R Arntfield Frontiers in Imaging 3, 2024 | | 2024 |
| Lung ultrasound processing systems and methods RT Arntfield, B Vanberlo, D Wu, B Wu, J Tschirhart, D Chintan, J Mccauley, ... US Patent App. 18/099,206, 2023 | | 2023 |
| 52: PROSPECTIVE REAL-TIME VALIDATION OF A LUNG ULTRASOUND DEEP LEARNING MODEL IN THE INTENSIVE CARE UNIT C Dave, D Wu, J Tschirhart, D Smith, B VanBerlo, J Deglint, F Ali, ... Critical Care Medicine 51 (1), 26, 2023 | | 2023 |
