Segmented time series visualization tool for additive manufacturing. - William Halsey; Chad A. Steed; Ryan Dehoff; Vincent C. Paquit; Sean L. Yoder (LDAV, 2016)

Falcon: Visual analysis of large, irregularly sampled, and multivariate time series data in additive manufacturing. - Chad A. Steed; William Halsey; Ryan Dehoff; Sean L. Yoder; Vincent C. Paquit; Sarah Powers (Comput. Graph., 2017)

Characterization of Crystallographic Structures Using Bragg-Edge Neutron Imaging at the Spallation Neutron Source. - Gian Song; Jiao Y. Y. Lin; Jean C. Bilheux; Qingge Xie; Louis Joseph Santodonato; Jamie J. Molaison; Harley D. Skorpenske; Antonio M. Dos Santos; Chris A. Tulk; Ke An; Alexandru D. Stoica; Michael M. Kirka; et al. (J. Imaging, 2017)

Simurgh: A Framework for Cad-Driven Deep Learning Based X-Ray CT Reconstruction. - 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 (ICIP, 2022)

Deep Learning Based Workflow for Accelerated Industrial X-Ray Computed Tomography. - Obaidullah Rahman; Singanallur V. Venkatakrishnan; Luke Scime; Paul Brackman; Curtis Frederick; Ryan Dehoff; Vincent C. Paquit; Amirkoushyar Ziabari (ICIP, 2023)

Deep-Learning Quantitative Structural Characterization in Additive Manufacturing. - Amra Peles; Vincent C. Paquit; Ryan R. Dehoff (CoRR, 2023)

A visco-plastic constitutive model for accurate densification and shape predictions in powder metallurgy hot isostatic pressing. - Subrato Sarkar; Jason R. Mayeur; KPK Ajjarapu; Fred A List III; Soumya Nag; Ryan R. Dehoff (CoRR, 2025)