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High Performance Computing for Imaging 2023

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High Performance Computing for Imaging 2023, San Francisco, CA, USA, January 15-19, 2023. Society for Imaging Science and Technology 2023

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Muralikrishnan Gopalakrishnan Meena, Amirkoushyar Ziabari, Singanallur V. Venkatakrishnan, Isaac Lyngaas, Matthew R. Norman, Bálint Joó, Thomas L. Beck, Charles A. Bouman, Anuj J. Kapadia, Xiao Wang:
Physics guided machine learning for multi-material decomposition of tissues from dual-energy CT scans of simulated breast models with calcifications. 1-7
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Zekun Wang, Pengwei Wang, Peter C. Louis, Lee E. Wheless, Yuankai Huo:
WearMask: Fast in-browser face mask detection with serverless edge computing for COVID-19. 1-6
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Anakha V. Babu, Tekin Bicer, Saugat Kandel, Tao Zhou, Daniel J. Ching, Steven Henke, Sinisa Veseli, Ryan Chard, Antonino Miceli, Mathew Joseph Cherukara:
AI-assisted automated workflow for real-time x-ray ptychography data analysis via federated resources. 1-6
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Felix Liu, Vanitha Sankaranarayanan, Javier E. Villanueva-Meyer, Shawn Hervey-Jumper, James Hawkins, Pablo F. Damasceno, Mauro Bisson, Joshua Romero, Thorsten Kurth, Massimiliano Fatica, Eleftherios Garyfallidis, Ariel Rokem, Jason C. Crane, Sharmila Majumdar:
Clinical validation of rapid GPU-enabled DTI tractography of the brain. 1-4
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  - conf/ei-hpci/Martinez-Noriega23
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Edgar Josafat Martinez-Noriega, Rio Yokota:
Towards real-time formula driven dataset feed for large scale deep learning training. 1-6

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