Adam Aurisano | DeepAI

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research

∙ 12/06/2022

Automated Segmentation of Computed Tomography Images with Submanifold Sparse Convolutional Networks

Quantitative cancer image analysis relies on the accurate delineation of...

0 Saúl Alonso-Monsalve, et al. ∙

research

∙ 03/11/2021

Physics and Computing Performance of the Exa.TrkX TrackML Pipeline

The Exa.TrkX project has applied geometric learning concepts such as met...

31 Xiangyang Ju, et al. ∙

research

∙ 06/30/2020

Track Seeding and Labelling with Embedded-space Graph Neural Networks

To address the unprecedented scale of HL-LHC data, the Exa.TrkX project ...

0 Nicholas Choma, et al. ∙

research

∙ 07/08/2018

Machine Learning in High Energy Physics Community White Paper

Machine learning is an important research area in particle physics, begi...

0 Kim Albertsson, et al. ∙