David A Clunie (David Clunie)

ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Positron Emission Tomography

Artificial Intelligence

Top Venues

Scientific data

Nature communications

Research square

Journal of imaging informatics in medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Deepa Krishnaswamy, Dennis Bontempi, Vamsi Krishna Thiriveedhi, Davide Punzo, David A Clunie, Christopher P Bridge, Hugo J W L Aerts, Ron Kikinis, Andrey Fedorov
Enrichment of lung cancer computed tomography collections with AI-derived annotations. Scientific data 11 (1) (2024)
Deepa Krishnaswamy, Dennis Bontempi, Vamsi Krishna Thiriveedhi, Davide Punzo, David A Clunie, Christopher P Bridge, Hugo J W L Aerts, Ron Kikinis, Andrey Fedorov
Enrichment of lung cancer computed tomography collections with AI-derived annotations. Scientific data 11 (1) (2024)
David A Clunie, Adam J Taylor, Tom Bisson, David A Gutman, Ying Xiao, Christopher G Schwarz, Douglas N Greve, Judy Wawira Gichoya, George Shih, Adrienne S Kline, Ben Kopchick, Keyvan Farahani
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 Pipeline. Journal of imaging informatics in medicine (2024)
Deepa Krishnaswamy, Dennis Bontempi, Vamsi Krishna Thiriveedhi, Davide Punzo, David A Clunie, Christopher P Bridge, Hugo J W L Aerts, Ron Kikinis, Andrey Fedorov
Enrichment of lung cancer computed tomography collections with AI-derived annotations. Scientific data 11 (1) (2024)
Deepa Krishnaswamy, Dennis Bontempi, Vamsi Krishna Thiriveedhi, Davide Punzo, David A Clunie, Christopher P Bridge, Hugo J W L Aerts, Ron Kikinis, Andrey Fedorov
Enrichment of lung cancer computed tomography collections with AI-derived annotations. Scientific data 11 (1) (2024)
Deepa Krishnaswamy, Dennis Bontempi, Vamsi Krishna Thiriveedhi, Davide Punzo, David A Clunie, Christopher P Bridge, Hugo J W L Aerts, Ron Kikinis, Andrey Fedorov
Enrichment of lung cancer computed tomography collections with AI-derived annotations. Scientific data 11 (1) (2024)
Vamsi Krishna Thiriveedhi, Deepa Krishnaswamy, David A Clunie, Steve Pieper, Ron Kikinis, Andriy Y Fedorov
Cloud-based large-scale curation of medical imaging data using AI segmentation. Research square (2024)
Deepa Krishnaswamy, Dennis Bontempi, Vamsi Krishna Thiriveedhi, Davide Punzo, David A Clunie, Christopher P Bridge, Hugo J W L Aerts, Ron Kikinis, Andrey Fedorov
Enrichment of lung cancer computed tomography collections with AI-derived annotations. Scientific data 11 (1) (2024)
David A Clunie, Fred W Prior, Michael W Rutherford, Stephen Moore, William A Parker, Haridimos Kondylakis, Christian Ludwigs, Juergen Klenk, Robert Lou, Lawrence Tony O'Sullivan, Daniel S Marcus, Jiri Dobes, Abraham Gutman, Keyvan Farahani
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-identification. Journal of imaging informatics in medicine (2024)
Vamsi Krishna Thiriveedhi, Deepa Krishnaswamy, David A Clunie, Steve Pieper, Ron Kikinis, Andriy Y Fedorov
Cloud-based large-scale curation of medical imaging data using AI segmentation. Research square (2024)
Chris Gorman, Davide Punzo, Igor Octaviano, Steven Pieper, William J R Longabaugh, David A Clunie, Ron Kikinis, Andrey Y Fedorov, Markus D Herrmann
Interoperable slide microscopy viewer and annotation tool for imaging data science and computational pathology. Nature communications 14 (1) (2023)
Chris Gorman, Davide Punzo, Igor Octaviano, Steven Pieper, William J R Longabaugh, David A Clunie, Ron Kikinis, Andrey Y Fedorov, Markus D Herrmann
Interoperable slide microscopy viewer and annotation tool for imaging data science and computational pathology. Nature communications 14 (1) (2023)
Chris Gorman, Davide Punzo, Igor Octaviano, Steven Pieper, William J R Longabaugh, David A Clunie, Ron Kikinis, Andrey Y Fedorov, Markus D Herrmann
Interoperable slide microscopy viewer and annotation tool for imaging data science and computational pathology. Nature communications 14 (1) (2023)
Andriy Y Fedorov, William J R Longabaugh, David Pot, David A Clunie, Steven D Pieper, David L Gibbs, Christopher P Bridge, Markus D Herrmann, André Homeyer, Rob Lewis, Hugo J W L Aerts, Deepa Krishnaswamy, Vamsi Krishna Thiriveedhi, Cosmin Ciausu, Daniela P Schacherer, Dennis Bontempi, Todd Pihl, Ulrike Wagner, Keyvan Farahani, Erika Kim, Ron Kikinis
National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence. Radiographics : a review publication of the Radiological Society of North America, Inc 43 (12) (2023)
Joseph D Kalen, David A Clunie, Yanling Liu, James L Tatum, Paula M Jacobs, Justin Kirby, John B Freymann, Ulrike Wagner, Kirk E Smith, Christian Suloway, James H Doroshow
Design and Implementation of the Pre-Clinical DICOM Standard in Multi-Cohort Murine Studies. Tomography (Ann Arbor, Mich.) 7 (1) (2021)
Liam J Caffery, Jochen Weber, Nicholas Kurtansky, David A Clunie, Steve Langer, George Shih, Allan C Halpern, Veronica Rotemberg
DICOM in Dermoscopic Research: an Experience Report and a Way Forward. Journal of digital imaging 34 (4) (2021)
Andriy Y Fedorov, William J R Longabaugh, David Pot, David A Clunie, Steve Pieper, Hugo J W L Aerts, André Homeyer, Rob Lewis, Afshin Akbarzadeh, Dennis Bontempi, William Clifford, Markus D Herrmann, Henning Höfener, Igor Octaviano, Chad Osborne, Suzanne Paquette, James Petts, Davide Punzo, Madelyn Reyes, Daniela P Schacherer, Mi Tian, George White, Erik Ziegler, Ilya Shmulevich, Todd Pihl, Ulrike Wagner, Keyvan Farahani, Ron Kikinis
NCI Imaging Data Commons. Cancer research 81 (16) (2021)
David A Clunie
Letter to the editor of the Journal of Medical Systems: Regarding "De-Identification of Radiomics Data Retaining Longitudinal Temporal Information". Journal of medical systems 44 (7) (2020)
David A Clunie
DICOM Format and Protocol Standardization-A Core Requirement for Digital Pathology Success. Toxicologic pathology 49 (4) (2020)