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ORCIDVincent C. Paquit
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2020 – today
- 2023
[j3]Rima Asmar Awad
, Muhammad Haris Rais, Michael Rogers, Irfan Ahmed, Vincent C. Paquit:
Towards generic memory forensic framework for programmable logic controllers. Forensic Sci. Int. Digit. Investig. 44(Supplement): 301513 (2023)- [c11]Obaidullah Rahman, Singanallur V. Venkatakrishnan, Luke Scime, Paul Brackman, Curtis Frederick, Ryan Dehoff, Vincent C. Paquit, Amirkoushyar Ziabari:
Deep Learning Based Workflow for Accelerated Industrial X-Ray Computed Tomography. ICIP 2023: 2990-2994 - [i2]Amra Peles, Vincent C. Paquit, Ryan R. Dehoff:
Deep-Learning Quantitative Structural Characterization in Additive Manufacturing. CoRR abs/2302.06389 (2023) - 2022
- [c10]Amirkoushyar Ziabari, Singanallur V. Venkatakrishnan, Abhishek Dubey, Alex Lisovich, Paul Brackman, Curtis Frederick, Pradeep Bhattad, Philip R. Bingham, Alex Plotkowski, Ryan Dehoff, Vincent C. Paquit:
Simurgh: A Framework for Cad-Driven Deep Learning Based X-Ray CT Reconstruction. ICIP 2022: 3836-3867
2010 – 2019
- 2019
- [i1]Amirkoushyar Ziabari, Michael Kirka, Vincent C. Paquit, Philip R. Bingham, Singanallur V. Venkatakrishnan:
X-Ray CT Reconstruction of Additively Manufactured Parts using 2.5D Deep Learning MBIR. CoRR abs/1904.12585 (2019) - 2017
- [j2]Chad A. Steed, William Halsey, Ryan Dehoff, Sean L. Yoder, Vincent C. Paquit, Sarah Powers:
Falcon: Visual analysis of large, irregularly sampled, and multivariate time series data in additive manufacturing. Comput. Graph. 63: 50-64 (2017) - 2016
- [c9]William Halsey, Chad A. Steed, Ryan Dehoff, Vincent C. Paquit, Sean L. Yoder:
Segmented time series visualization tool for additive manufacturing. LDAV 2016: 97-98 - 2013
- [j1]Georgia D. Tourassi, Sophie Voisin, Vincent C. Paquit, Elizabeth A. Krupinski:
Research and applications: Investigating the link between radiologists' gaze, diagnostic decision, and image content. J. Am. Medical Informatics Assoc. 20(6): 1067-1075 (2013) - 2012
- [c8]Vincent C. Paquit, Thomas P. Karnowski, Deniz Aykac, Yaqin Li, Kenneth W. Tobin, Edward Chaum:
Detecting flash artifacts in fundus imagery. EMBC 2012: 1442-1445 - 2011
- [c7]Vincent C. Paquit, Shaun S. Gleason, Udaya C. Kalluri:
Monitoring plant growth using high resolution micro-CT images. Image Processing: Machine Vision Applications 2011: 78770W - [c6]Vincent C. Paquit, Mark W. Wendel, David K. Felde, Bernie W. Riemer:
Quantitative measurement by artificial vision of small bubbles in flowing mercury. Image Processing: Machine Vision Applications 2011: 78770L
2000 – 2009
- 2009
- [c5]Fabrice Mériaudeau, Vincent C. Paquit, Nicolas Walter, Jeffery R. Price, Kenneth W. Tobin:
3D and multispectral imaging for subcutaneous veins detection. ICIP 2009: 2857-2860 - 2008
- [c4]Vincent C. Paquit, Jeffery R. Price, Fabrice Mériaudeau, Kenneth W. Tobin:
Improving light propagation Monte Carlo simulations with accurate 3D modeling of skin tissue. ICIP 2008: 2976-2979 - 2007
- [c3]Jeffery R. Price, Timothy F. Gee, Vincent C. Paquit, Kenneth W. Tobin:
On the Efficacy of Correcting for Refractive Effects in Iris Recognition. CVPR 2007 - [c2]Vincent C. Paquit, Jeffery R. Price, Fabrice Mériaudeau, Kenneth W. Tobin, Thomas L. Ferrell:
Combining near-infrared illuminants to optimize venous imaging. Image-Guided Procedures 2007: 65090H - 2006
- [c1]Vincent C. Paquit, Jeffery R. Price, Ralph Seulin, Fabrice Mériaudeau, Rubye H. Farahi, Kenneth W. Tobin, Thomas L. Ferrell:
Near-infrared imaging and structured light ranging for automatic catheter insertion. Image-Guided Procedures 2006: 61411T
Coauthor Index
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