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David Clunie

Showing results (11-20 of 20) with videos related to

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Journal of Imaging Informatics in Medicine|July 9, 2024
Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification-Part 2: Pathology Whole Slide Image De-identification, De-facing, the Role of AI in Image De-identification, and the NCI MIDI Datasets and PipelineDavid Clunie, Adam Taylor, Tom Bisson, et al.
Translational Oncology|March 10, 2015
Determining the Variability of Lesion Size Measurements from CT Patient Data Sets Acquired under "No Change" ConditionsMichael F McNitt-Gray, Grace Hyun Kim, Binsheng Zhao, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 8, 2026
In search of truth: evaluating concordance of AI-based anatomy segmentation modelsLena Giebeler, Deepa Krishnaswamy, David Clunie, et al.
Scientific Data|October 23, 2024
AI-Generated Annotations Dataset for Diverse Cancer Radiology Collections in NCI Image Data CommonsGowtham Krishnan Murugesan, Diana McCrumb, Mariam Aboian, et al.
Journal of Imaging Informatics in Medicine|July 12, 2024
Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification-Part 1: Report of the MIDI Task Group - Best Practices and Recommendations, Tools for Conventional Approaches to De-identification, International Approaches to De-identification, and Industry Panel on Image De-identificationDavid Clunie, Fred Prior, Michael Rutherford, et al.
Academic Radiology|December 17, 2013
Comparison of 1D, 2D, and 3D nodule sizing methods by radiologists for spherical and complex nodules on thoracic CT phantom imagesNicholas Petrick, Hyun J Grace Kim, David Clunie, et al.
Journal of Pathology Informatics|March 10, 2025
Unlocking the potential of digital pathology: Novel baselines for compressionMaximilian Fischer, Peter Neher, Peter Schüffler, et al.
Journal of Pathology Informatics|April 6, 2018
Digital Imaging and Communications in Medicine Whole Slide Imaging Connectathon at Digital Pathology Association Pathology Visions 2017David Clunie, Dan Hosseinzadeh, Mikael Wintell, et al.
JCO Clinical Cancer Informatics|May 12, 2020
Quantitative Imaging Informatics for Cancer ResearchAndrey Fedorov, Reinhard Beichel, Jayashree Kalpathy-Cramer, et al.
Journal of Digital Imaging|July 10, 2014
Consistency and standardization of color in medical imaging: a consensus reportAldo Badano, Craig Revie, Andrew Casertano, et al.
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Showing results (11-20 of 20) with videos related to

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Pageof 2
You have reached the last page of results.This site can display upto 20 results.
Journal of Imaging Informatics in Medicine|July 9, 2024
Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification-Part 2: Pathology Whole Slide Image De-identification, De-facing, the Role of AI in Image De-identification, and the NCI MIDI Datasets and PipelineDavid Clunie, Adam Taylor, Tom Bisson, et al.
Translational Oncology|March 10, 2015
Determining the Variability of Lesion Size Measurements from CT Patient Data Sets Acquired under "No Change" ConditionsMichael F McNitt-Gray, Grace Hyun Kim, Binsheng Zhao, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 8, 2026
In search of truth: evaluating concordance of AI-based anatomy segmentation modelsLena Giebeler, Deepa Krishnaswamy, David Clunie, et al.
Scientific Data|October 23, 2024
AI-Generated Annotations Dataset for Diverse Cancer Radiology Collections in NCI Image Data CommonsGowtham Krishnan Murugesan, Diana McCrumb, Mariam Aboian, et al.
Journal of Imaging Informatics in Medicine|July 12, 2024
Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification-Part 1: Report of the MIDI Task Group - Best Practices and Recommendations, Tools for Conventional Approaches to De-identification, International Approaches to De-identification, and Industry Panel on Image De-identificationDavid Clunie, Fred Prior, Michael Rutherford, et al.
Academic Radiology|December 17, 2013
Comparison of 1D, 2D, and 3D nodule sizing methods by radiologists for spherical and complex nodules on thoracic CT phantom imagesNicholas Petrick, Hyun J Grace Kim, David Clunie, et al.
Journal of Pathology Informatics|March 10, 2025
Unlocking the potential of digital pathology: Novel baselines for compressionMaximilian Fischer, Peter Neher, Peter Schüffler, et al.
Journal of Pathology Informatics|April 6, 2018
Digital Imaging and Communications in Medicine Whole Slide Imaging Connectathon at Digital Pathology Association Pathology Visions 2017David Clunie, Dan Hosseinzadeh, Mikael Wintell, et al.
JCO Clinical Cancer Informatics|May 12, 2020
Quantitative Imaging Informatics for Cancer ResearchAndrey Fedorov, Reinhard Beichel, Jayashree Kalpathy-Cramer, et al.
Journal of Digital Imaging|July 10, 2014
Consistency and standardization of color in medical imaging: a consensus reportAldo Badano, Craig Revie, Andrew Casertano, et al.
Pageof 2