| Deep learning for automated defect detection in high-reliability electronic parts EA Donahue, TT Quach, K Potter, C Martinez, M Smith, CD Turner Applications of Machine Learning 11139, 30-40, 2019 | 13 | 2019 |
| A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data Using Unstructured Spatial Discretizations J Tencer, K Potter SIAM Journal on Scientific Computing 43 (4), A2581-A2613, 2021 | 11 | 2021 |
| Segmentation certainty through uncertainty: Uncertainty-refined binary volumetric segmentation under multifactor domain shift C Martinez, KM Potter, MD Smith, EA Donahue, L Collins, JP Korbin, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 11 | 2019 |
| Enabling Nonlinear Manifold Projection Reduced-Order Models by Extending Convolutional Neural Networks to Unstructured Data. J Tencer, KM Potter Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | 8 | 2020 |
| Device and method for constructing and displaying high quality images from imaging data by transforming a data structure utilizing machine learning techniques JP Korbin, D Peterson, MD Smith, C Martinez, C Snider, KM Potter US Patent 10,867,415, 2020 | 3 | 2020 |
| Automatic detection of defects in high reliability as-built parts using x-ray CT KM Potter, B Donohoe, B Greene, A Pribisova, E Donahue Applications of Machine Learning 2020 11511, 120-136, 2020 | 3 | 2020 |
| Automated segmentation of porous thermal spray material CT scans with predictive uncertainty estimation C Martinez, DS Bolintineanu, A Olson, T Rodgers, B Donohoe, KM Potter, ... Computational Mechanics 72 (3), 525-551, 2023 | 2 | 2023 |
| DEEP LEARNING FOR DEFECT DETECTION IN HIGH-RELIABILITY COMPONENTS E Donahue, T Quach, C Turner, KM Potter US Patent App. 17/166,166, 2022 | 2 | 2022 |
| Automated Segmentation of Porous Thermal Spray Material CT Scans with Geometric Uncertainty Estimation. C Martinez, DS Bolintineanu, AJ Olson, T Rodgers, B Donohoe, KM Potter, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | 2 | 2020 |
| Performance assessment for climate intervention (PACI): preliminary application to a stratospheric aerosol injection scenario L Wheeler, T Zeitler, S Brunell, J Lien, L Shand, B Wagman, C Martinez, ... Frontiers in Environmental Science 11, 1205515, 2023 | 1 | 2023 |
| Feature anomaly detection system (FADS) for intelligent manufacturing A Garland, K Potter, M Smith arXiv preprint arXiv:2204.10318, 2022 | 1 | 2022 |
| Machine Learning Applications at Sandia National Laboratories. C Martinez, K Potter, E Donahue, A Brink, D Najera-Flores, PD Yeh, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019 | 1 | 2019 |
| Overview of Ablation Research at Sandia National Laboratories. SA Roberts, N Anderson, M Arienti, K Armijo, P Blonigan, K Casper, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2022 | | 2022 |
| Automatic Detection of Defects in High-Reliability Components KM Potter, S Famili, AP Garland, JE Jones, A Pant Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| UNCERTAINTY-REFINED IMAGE SEGMENTATION UNDER DOMAIN SHIFT C Martinez, KM Potter, E Donahue, MD Smith, CJ Snider, JP Korbin, ... US Patent App. 17/832,477, 2022 | | 2022 |
| Uncertainty-refined image segmentation under domain shift C Martinez, KM Potter, E Donahue, MD Smith, CJ Snider, JP Korbin, ... US Patent 11,379,991, 2022 | | 2022 |
| PACI: PerformanceAssessmentfor Climate Intervention. L Wheeler, TR Zeitler, SBN Brunell, C Martinez, K Potter, B Wagman, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| Feature-based Anomaly Detection System D Hannasch, J Jones, K Potter, A Garland Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| Credible, Automated Meshing of Images (CAMI). SA Roberts, B Donohoe, C Martinez, M Krygier, B Hernandez-Sanchez, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | | 2021 |
| Parameterized Pseudo-Differential Operators for Applying CNNs to Unstructured Mesh Data. KM Potter, SR Sleder, MC Smith, J Tencer Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2021 | | 2021 |
Carianne MartinezVerified email at asu.edu
