9 citations · 36 across the 7 of their papers we have counts for
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hep-ex2021★ 8 cited
Scalable, End-to-End, Deep-Learning-Based Data Reconstruction Chain for Particle Imaging Detectors
Francois Drielsma, Kazuhiro Terao, Laura Dominé +1
Recent inroads in Computer Vision (CV) and Machine Learning (ML) have motivated a new approach to the analysis of particle imaging detector data. Unlike previous efforts which tack…
hep-ex2020★ 9 cited
Point Proposal Network for Reconstructing 3D Particle Endpoints with Sub-Pixel Precision in Liquid Argon Time Projection Chambers
Laura Dominé, Pierre Côte de Soux, François Drielsma +6
Liquid Argon Time Projection Chambers (LArTPC) are particle imaging detectors recording 2D or 3D images of trajectories of charged particles. Identifying points of interest in thes…