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Ryan Dehoff
Publication Activity (10 Years)
Years Active: 2016-2023
Publications (10 Years): 4
Top Topics
Subsequence Matching
Multivariate Time Series
Deep Learning
Autoregressive
Top Venues
ICIP
Comput. Graph.
LDAV
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Publications
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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)
Amirkoushyar Ziabari
,
Singanallur Venkatakrishnan
,
Abhishek Dubey
,
Alex Lisovich
,
Paul Brackman
,
Curtis Frederick
,
Pradeep Bhattad
,
Philip R. Bingham
,
Alex Plotkowski
,
Ryan Dehoff
,
Vincent Paquit
Simurgh: A Framework for Cad-Driven Deep Learning Based X-Ray CT Reconstruction.
ICIP
(2022)
Chad A. Steed
,
William Halsey
,
Ryan Dehoff
,
Sean L. Yoder
,
Vincent Paquit
,
Sarah Powers
Falcon: Visual analysis of large, irregularly sampled, and multivariate time series data in additive manufacturing.
Comput. Graph.
63 (2017)
William Halsey
,
Chad A. Steed
,
Ryan Dehoff
,
Vincent Paquit
,
Sean L. Yoder
Segmented time series visualization tool for additive manufacturing.
LDAV
(2016)