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Publication Year: 2025

1 to 10 of 1,301 Results

Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data Jul 18, 2026 Yim, An Di, 2025, "Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data", https://doi.org/10.13021/ORC2020/LFPH6M, George Mason University Dataverse, V3, UNF:6:r17k7W0Br3DIoZ+WTQQUpg== [fileUNF] Data files, 3D model files, and research protocols supporting the findings of "Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data." This study evaluates the utility of an automated super-resolution reconstruction (SRR) framework in generating high-resolution skeletal models from multiple orthogonal t...
README.md Jul 18, 2026 - Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data Markdown Text - 3.5 KB - MD5: 6e33b0d6851bab9d65d0271c37360f6f
ITK-SNAP protocol.pdf Jul 18, 2026 - Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data Adobe PDF - 395.6 KB - MD5: aefb4370a0135a56955cfddb1552c16f Research protocol describeing the step-by-step process of mask generation.
pacs-osteometrics.csv Jul 18, 2026 - Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data Tabular Data - 2.5 KB - 34 Variables, 33 Observations - UNF:6:VXziZwjcbrt0BD7cMz7N4A== Osteometric measurements taken directly from high-resolution volume renderings to the corresponding ID.
Surface comparison protocol.pdf Jul 18, 2026 - Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data Adobe PDF - 96.8 KB - MD5: a9bfeb85fa906f4c89a7893c73a0a673 Research protocol describing the step-by-step process of surface comparison in 3D Slicer.
surface-statistics.csv Jul 18, 2026 - Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data Tabular Data - 3.4 KB - 9 Variables, 61 Observations - UNF:6:U6ROibZnyU81mxROmlB6Cg== Results of surface comparison between pre and post. Processes used to conduct surface comparison are outlined in Surface comparison protocol.pdf
Tiling of large-scaled environments by grid cells requires experience Feb 18, 2026 Gutierrez Guzman, Blanca; Hernandez Perez, J Jesus; Dannenberg, Holger, 2025, "Tiling of large-scaled environments by grid cells requires experience", https://doi.org/10.13021/ORC2020/OJT2JL, George Mason University Dataverse, V2 Dataset including data of electrophysiological recordings of grid cells.
20250526_23min_45x45x30cmSes2.mat Feb 18, 2026 - Tiling of large-scaled environments by grid cells requires experience MATLAB Data - 149.9 MB - MD5: e2889c48768bf1fdede4bec51bae68ac limon = mice5
20250526_26min_45x45x30cm.mat Feb 18, 2026 - Tiling of large-scaled environments by grid cells requires experience MATLAB Data - 173.4 MB - MD5: f011d9d783ad853c3f47407f46e227f2 limon = mice5
20250526_45min_75x75x20cm.mat Feb 18, 2026 - Tiling of large-scaled environments by grid cells requires experience MATLAB Data - 303.5 MB - MD5: 4fa29a50e68015a3b6d13fa71a5e05d7 limon = mice5

Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data

Jul 18, 2026

Yim, An Di, 2025, "Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data", https://doi.org/10.13021/ORC2020/LFPH6M, George Mason University Dataverse, V3, UNF:6:r17k7W0Br3DIoZ+WTQQUpg== [fileUNF]

Data files, 3D model files, and research protocols supporting the findings of "Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data." This study evaluates the utility of an automated super-resolution reconstruction (SRR) framework in generating high-resolution skeletal models from multiple orthogonal t...

README.md

Jul 18, 2026 - Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data

Markdown Text - 3.5 KB -

ITK-SNAP protocol.pdf

Jul 18, 2026 - Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data

Adobe PDF - 395.6 KB -

Research protocol describeing the step-by-step process of mask generation.

pacs-osteometrics.csv

Jul 18, 2026 - Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data

Tabular Data - 2.5 KB - 34 Variables, 33 Observations -

Osteometric measurements taken directly from high-resolution volume renderings to the corresponding ID.

Surface comparison protocol.pdf

Jul 18, 2026 - Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data

Adobe PDF - 96.8 KB -

Research protocol describing the step-by-step process of surface comparison in 3D Slicer.

surface-statistics.csv

Jul 18, 2026 - Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data

Tabular Data - 3.4 KB - 9 Variables, 61 Observations -

Results of surface comparison between pre and post. Processes used to conduct surface comparison are outlined in Surface comparison protocol.pdf

Tiling of large-scaled environments by grid cells requires experience

Feb 18, 2026

Gutierrez Guzman, Blanca; Hernandez Perez, J Jesus; Dannenberg, Holger, 2025, "Tiling of large-scaled environments by grid cells requires experience", https://doi.org/10.13021/ORC2020/OJT2JL, George Mason University Dataverse, V2

Dataset including data of electrophysiological recordings of grid cells.

20250526_23min_45x45x30cmSes2.mat

Feb 18, 2026 - Tiling of large-scaled environments by grid cells requires experience

MATLAB Data - 149.9 MB -

limon = mice5

20250526_26min_45x45x30cm.mat

Feb 18, 2026 - Tiling of large-scaled environments by grid cells requires experience

MATLAB Data - 173.4 MB -

limon = mice5

20250526_45min_75x75x20cm.mat

Feb 18, 2026 - Tiling of large-scaled environments by grid cells requires experience

MATLAB Data - 303.5 MB -

limon = mice5

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