Search Results - "Baum, Zachary MC"

Image quality assessment for machine learning tasks using meta-reinforcement learning by Saeed, Shaheer U., Fu, Yunguan, Stavrinides, Vasilis, Baum, Zachary M.C., Yang, Qianye, Rusu, Mirabela, Fan, Richard E., Sonn, Geoffrey A., Noble, J. Alison, Barratt, Dean C., Hu, Yipeng

“…•Introduce task amenability for quantifying task-specific image quality assessment•Propose meta-reinforcement learning algorithms for learning label-efficient,…”
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Meta-Registration: Learning Test-Time Optimization for Single-Pair Image Registration by Baum, Zachary MC, Hu, Yipeng, Barratt, Dean C

“…Neural networks have been proposed for medical image registration by learning, with a substantial amount of training data, the optimal transformations between…”
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Learning Generalized Non-Rigid Multimodal Biomedical Image Registration from Generic Point Set Data by Baum, Zachary MC, Ungi, Tamas, Schlenger, Christopher, Hu, Yipeng, Barratt, Dean C

“…Free Point Transformer (FPT) has been proposed as a data-driven, non-rigid point set registration approach using deep neural networks. As FPT does not assume…”
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Rapid Lung Ultrasound COVID-19 Severity Scoring with Resource-Efficient Deep Feature Extraction by Raillard, Pierre, Cristoni, Lorenzo, Walden, Andrew, Lazzari, Roberto, Pulimood, Thomas, Grandjean, Louis, Wheeler-Kingshott, Claudia AM Gandini, Hu, Yipeng, Baum, Zachary MC

“…Artificial intelligence-based analysis of lung ultrasound imaging has been demonstrated as an effective technique for rapid diagnostic decision support…”
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Lung Ultrasound Segmentation and Adaptation between COVID-19 and Community-Acquired Pneumonia by Mason, Harry, Cristoni, Lorenzo, Walden, Andrew, Lazzari, Roberto, Pulimood, Thomas, Grandjean, Louis, Wheeler-Kingshott, Claudia AM Gandini, Hu, Yipeng, Baum, Zachary MC

“…Lung ultrasound imaging has been shown effective in detecting typical patterns for interstitial pneumonia, as a point-of-care tool for both patients with…”
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Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labels by Chalcroft, Liam F, Qu, Jiongqi, Martin, Sophie A, Gayo, Iani JMB, Minore, Giulio V, Singh, Imraj RD, Saeed, Shaheer U, Yang, Qianye, Baum, Zachary MC, Altmann, Andre, Hu, Yipeng

“…When developing deep neural networks for segmenting intraoperative ultrasound images, several practical issues are encountered frequently, such as the presence…”
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