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Items where Author is "Palanca, Marco"

Items where Author is "Palanca, Marco"

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bone BoneX-ray computed tomography convolutional neural network D2IM deep learning digital volume correlation X-ray computed tomography
Number of items: 16.

bone

Soar, Peter ORCID logoORCID: https://orcid.org/0000-0003-1745-9443, Palanca, Marco, Enrico, Dall'Ara and Tozzi, Gianluca (2024) Supplementary Information for Data-driven image mechanics (D2IM): a deep learning approach to predict displacement and strain fields from undeformed X-ray tomography images - Evaluation of bone mechanics. [Dataset] (Unpublished)

Soar, Peter ORCID logoORCID: https://orcid.org/0000-0003-1745-9443, Palanca, Marco, Enrico, Dall'Ara and Tozzi, Gianluca (2024) D2IM prototype dataset: Porcine Vertebra Slices. [Dataset] (doi:10.34740/kaggle/ds/4500725)

BoneX-ray computed tomography

Soar, Peter ORCID logoORCID: https://orcid.org/0000-0003-1745-9443, Dall’Ara, Enrico, Palanca, Marco and Tozzi, Gianluca (2024) Data-driven image mechanics (D2IM): a deep learning approach to predict displacement and strain fields from undeformed X-ray tomography images – Evaluation of bone mechanics. Extreme Mechanics Letters, 71:102202. pp. 1-14. ISSN 2352-4316 (Online) (doi:10.1016/j.eml.2024.102202)

convolutional neural network

Soar, Peter ORCID logoORCID: https://orcid.org/0000-0003-1745-9443, Dall’Ara, Enrico, Palanca, Marco and Tozzi, Gianluca (2024) Data-driven image mechanics (D2IM): a deep learning approach to predict displacement and strain fields from undeformed X-ray tomography images – Evaluation of bone mechanics. Extreme Mechanics Letters, 71:102202. pp. 1-14. ISSN 2352-4316 (Online) (doi:10.1016/j.eml.2024.102202)

Soar, Peter ORCID logoORCID: https://orcid.org/0000-0003-1745-9443, Palanca, Marco, Enrico, Dall'Ara and Tozzi, Gianluca (2024) Supplementary Information for Data-driven image mechanics (D2IM): a deep learning approach to predict displacement and strain fields from undeformed X-ray tomography images - Evaluation of bone mechanics. [Dataset] (Unpublished)

Soar, Peter ORCID logoORCID: https://orcid.org/0000-0003-1745-9443, Palanca, Marco, Enrico, Dall'Ara and Tozzi, Gianluca (2024) D2IM prototype dataset: Porcine Vertebra Slices. [Dataset] (doi:10.34740/kaggle/ds/4500725)

D2IM

Soar, Peter ORCID logoORCID: https://orcid.org/0000-0003-1745-9443, Palanca, Marco, Enrico, Dall'Ara and Tozzi, Gianluca (2024) Supplementary Information for Data-driven image mechanics (D2IM): a deep learning approach to predict displacement and strain fields from undeformed X-ray tomography images - Evaluation of bone mechanics. [Dataset] (Unpublished)

Soar, Peter ORCID logoORCID: https://orcid.org/0000-0003-1745-9443, Palanca, Marco, Enrico, Dall'Ara and Tozzi, Gianluca (2024) D2IM prototype dataset: Porcine Vertebra Slices. [Dataset] (doi:10.34740/kaggle/ds/4500725)

deep learning

Soar, Peter ORCID logoORCID: https://orcid.org/0000-0003-1745-9443, Dall’Ara, Enrico, Palanca, Marco and Tozzi, Gianluca (2024) Data-driven image mechanics (D2IM): a deep learning approach to predict displacement and strain fields from undeformed X-ray tomography images – Evaluation of bone mechanics. Extreme Mechanics Letters, 71:102202. pp. 1-14. ISSN 2352-4316 (Online) (doi:10.1016/j.eml.2024.102202)

Soar, Peter ORCID logoORCID: https://orcid.org/0000-0003-1745-9443, Palanca, Marco, Enrico, Dall'Ara and Tozzi, Gianluca (2024) Supplementary Information for Data-driven image mechanics (D2IM): a deep learning approach to predict displacement and strain fields from undeformed X-ray tomography images - Evaluation of bone mechanics. [Dataset] (Unpublished)

Soar, Peter ORCID logoORCID: https://orcid.org/0000-0003-1745-9443, Palanca, Marco, Enrico, Dall'Ara and Tozzi, Gianluca (2024) D2IM prototype dataset: Porcine Vertebra Slices. [Dataset] (doi:10.34740/kaggle/ds/4500725)

digital volume correlation

Soar, Peter ORCID logoORCID: https://orcid.org/0000-0003-1745-9443, Dall’Ara, Enrico, Palanca, Marco and Tozzi, Gianluca (2024) Data-driven image mechanics (D2IM): a deep learning approach to predict displacement and strain fields from undeformed X-ray tomography images – Evaluation of bone mechanics. Extreme Mechanics Letters, 71:102202. pp. 1-14. ISSN 2352-4316 (Online) (doi:10.1016/j.eml.2024.102202)

Soar, Peter ORCID logoORCID: https://orcid.org/0000-0003-1745-9443, Palanca, Marco, Enrico, Dall'Ara and Tozzi, Gianluca (2024) Supplementary Information for Data-driven image mechanics (D2IM): a deep learning approach to predict displacement and strain fields from undeformed X-ray tomography images - Evaluation of bone mechanics. [Dataset] (Unpublished)

Soar, Peter ORCID logoORCID: https://orcid.org/0000-0003-1745-9443, Palanca, Marco, Enrico, Dall'Ara and Tozzi, Gianluca (2024) D2IM prototype dataset: Porcine Vertebra Slices. [Dataset] (doi:10.34740/kaggle/ds/4500725)

X-ray computed tomography

Soar, Peter ORCID logoORCID: https://orcid.org/0000-0003-1745-9443, Palanca, Marco, Enrico, Dall'Ara and Tozzi, Gianluca (2024) Supplementary Information for Data-driven image mechanics (D2IM): a deep learning approach to predict displacement and strain fields from undeformed X-ray tomography images - Evaluation of bone mechanics. [Dataset] (Unpublished)

Soar, Peter ORCID logoORCID: https://orcid.org/0000-0003-1745-9443, Palanca, Marco, Enrico, Dall'Ara and Tozzi, Gianluca (2024) D2IM prototype dataset: Porcine Vertebra Slices. [Dataset] (doi:10.34740/kaggle/ds/4500725)

This list was generated on Sun Dec 22 13:39:23 2024 UTC.