Vincent C Paquit

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Luke ScimeOak Ridge National LaboratoryE-mail confirmado em ornl.gov
Ryan DehoffOak Ridge National LaboratoryE-mail confirmado em ornl.gov
William HalseyOak Ridge National LaboratoryE-mail confirmado em ornl.gov
Amir Koushyar ZiabariSenior R&D Scientist, ESTD/EEID/MSA Group, Oak Ridge National LaboratoryE-mail confirmado em ornl.gov
Michael KirkaOak Ridge National LaboratoryE-mail confirmado em ornl.gov
KW TobinOak Ridge Associated UniversitiesE-mail confirmado em orau.org
Philip BinghamE-mail confirmado em ornl.gov
Fabrice MeriaudeauUniversité Bourgogne Europe, ICMUB UMR CNRS 6302 , Medical Imaging groupE-mail confirmado em ube.fr
Peeyush NandwanaOak Ridge National LaboratoryE-mail confirmado em ornl.gov
Alex PlotkowskiOak Ridge National LaboratoryE-mail confirmado em ornl.gov
Sean L YoderUniversity of Tennessee - KnoxvilleE-mail confirmado em vols.utk.edu
Singanallur V. VenkatakrishnanResearch Staff - Imaging, Signals and Machine Learning, Oak Ridge National LaboratoryE-mail confirmado em ornl.gov
Alka SinghOak Ridge National LaboratoryE-mail confirmado em ornl.gov
Derek RoseR&D Associate, Oak Ridge National LaboratoryE-mail confirmado em ornl.gov
Christopher J MannProfessor of Physics, Northern Arizona UniversityE-mail confirmado em nau.edu
Chad A. SteedOak Ridge National LaboratoryE-mail confirmado em acm.org
Shaun GleasonDirector, Computational Sciences and Engineering Division, ORNLE-mail confirmado em ornl.gov
Lonnie J. LoveOak Ridge National LaboratoryE-mail confirmado em ornl.gov
Seulin RalphLe2i / VIBOT ERL CNRS 6000E-mail confirmado em u-bourgogne.fr
Thomas KarnowskiOak Ridge National LaboratoryE-mail confirmado em ornl.gov

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Vincent C Paquit

Section Head - Secure & Digital Manufacturing @ Oak Ridge National Laboratory

E-mail confirmado em ornl.gov

Artificial Intelligence Advanced Manufacturing Image Processing Computer Vision Industry 4.0


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Layer-wise anomaly detection and classification for powder bed additive manufacturing processes: A machine-agnostic algorithm for real-time pixel-wise semantic segmentation L Scime, D Siddel, S Baird, V Paquit Additive Manufacturing 36, 101453, 2020	241	2020
Quantitative phase imaging by three-wavelength digital holography CJ Mann, PR Bingham, VC Paquit, KW Tobin Optics express 16 (13), 9753-9764, 2008	208	2008
Geometrical defect detection for additive manufacturing with machine learning models R Li, M Jin, VC Paquit Materials & Design 206, 109726, 2021	120	2021
Investigating the link between radiologists' gaze, diagnostic decision, and image content G Tourassi, S Voisin, V Paquit, E Krupinski Journal of the American Medical Informatics Association 20 (6), 1067-1075, 2013	97	2013
Correlations of cracking with scan strategy and build geometry in electron beam powder bed additive manufacturing YS Lee, MM Kirka, J Ferguson, VC Paquit Additive Manufacturing 32, 101031, 2020	84	2020
A stochastic scan strategy for grain structure control in complex geometries using electron beam powder bed fusion A Plotkowski, J Ferguson, B Stump, W Halsey, V Paquit, C Joslin, ... Additive Manufacturing 46, 102092, 2021	83	2021
3D and multispectral imaging for subcutaneous veins detection VC Paquit, KW Tobin, JR Price, F Mériaudeau Optics express 17 (14), 11360-11365, 2009	68	2009
Observation of spatter-induced stochastic lack-of-fusion in laser powder bed fusion using in situ process monitoring Z Snow, L Scime, A Ziabari, B Fisher, V Paquit Additive Manufacturing 61, 103298, 2023	62	2023
A scalable digital platform for the use of digital twins in additive manufacturing L Scime, A Singh, V Paquit Manufacturing Letters 31, 28-32, 2022	61	2022
Near-infrared imaging and structured light ranging for automatic catheter insertion V Paquit, JR Price, R Seulin, F Mériaudeau, RH Farahi, KW Tobin Jr., ... Medical Imaging, 61411T-1, 2006	60	2006
Falcon: Visual analysis of large, irregularly sampled, and multivariate time series data in additive manufacturing CA Steed, W Halsey, R Dehoff, SL Yoder, V Paquit, S Powers Computers & Graphics 63, 50-64, 2017	58	2017
Image Segmentation SS Gleason, VC Paquit, D Aykac Quantitative MRI in Cancer, 213–236, 2011	58*	2011
Correlations Between Powder Feedstock Quality, In Situ Porosity Detection, and Fatigue Behavior of Ti-6Al-4V Fabricated by Powder Bed Electron Beam Melting: A Step Towards … P Nandwana, MM Kirka, VC Paquit, S Yoder, RR Dehoff JOM 70 (9), 1686–1691, 2018	52	2018
Approach to qualification using E-PBF in-situ process monitoring in Ti-6Al-4V S Yoder, P Nandwana, V Paquit, M Kirka, A Scopel, RR Dehoff, SS Babu Additive Manufacturing 28, 98-106, 2019	50*	2019
Characterization of topology optimized Ti-6Al-4V components using electron beam powder bed fusion S Yoder, S Morgan, C Kinzy, E Barnes, M Kirka, V Paquit, P Nandwana, ... Additive Manufacturing 19, 184-196, 2018	50	2018
Combining near-infrared illuminants to optimize venous imaging V Paquit, JR Price, F Mériaudeau, KW Tobin Jr, TL Ferrell Medical Imaging 2007: Visualization and Image-Guided Procedures, 9, 2007	46	2007
Investigating the effect of metal powder recycling in Electron beam Powder Bed Fusion using process log data S Chandrasekar, JB Coble, S Yoder, P Nandwana, RR Dehoff, VC Paquit, ... Additive Manufacturing 32, 100994, 2020	44	2020
In-situ digital image correlation and thermal monitoring in directed energy deposition additive manufacturing J Haley, C Leach, B Jordan, R Dehoff, V Paquit Optics express 29 (7), 9927-9941, 2021	36	2021
Enabling rapid X-ray CT characterisation for additive manufacturing using CAD models and deep learning-based reconstruction A Ziabari, SV Venkatakrishnan, Z Snow, A Lisovich, M Sprayberry, ... npj Computational Materials 9 (1), 91, 2023	33	2023
Innovative method for enhancing carbon fibers dispersion in wet-laid nonwovens H Ghossein, AA Hassen, V Paquit, LJ Love, UK Vaidya Materials Today Communications 17, 100-108, 2018	33	2018

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