Digital Imaging and Communications in Medicine (DICOM) - Application/dicom MIME Sub-type Registration. - David A. Clunie; Emmanuel Cordonnier (RFC, 2002)

Evaluation of 1D, 2D and 3D nodule size estimation by radiologists for spherical and non-spherical nodules through CT thoracic phantom imaging. - Nicholas Petrick; Hyun J. Grace Kim; David A. Clunie; Kristin Borradaile; Robert Ford; Rongping Zeng; Marios A. Gavrielides; Michael F. McNitt-Gray; Charles Fenimore; Z. Q. John Lu; Binsheng Zhao; Andrew J. Buckler (Computer-Aided Diagnosis, 2011)

Image Data Sharing for Biomedical Research - Meeting HIPAA Requirements for De-identification. - John B. Freymann; Justin S. Kirby; John H. Perry; David A. Clunie; C. Carl Jaffe (J. Digit. Imaging, 2012)

ACR-AAPM-SIIM Technical Standard for Electronic Practice of Medical Imaging. - James T. Norweck; J. Anthony Seibert; Katherine P. Andriole; David A. Clunie; Bruce H. Curran; Michael J. Flynn; Elizabeth A. Krupinski; Ralph P. Lieto; Donald J. Peck; Tariq A. Mian; Margaret Wyatt (J. Digit. Imaging, 2013)

Consistency and Standardization of Color in Medical Imaging: a Consensus Report. - Aldo Badano; Craig Revie; Andrew Casertano; Wei-Chung Cheng; Phil J. Green; Tom Kimpe; Elizabeth A. Krupinski; Christye Sisson; Stein Olav Skrøvseth; Darren Treanor; Paul A. Boynton; David A. Clunie; et al. (J. Digit. Imaging, 2015)

Technical Challenges of Enterprise Imaging: HIMSS-SIIM Collaborative White Paper. - David A. Clunie; Don K. Dennison; Dawn Cram; Kenneth R. Persons; Mark D. Bronkalla; Henri (Rik) Primo (J. Digit. Imaging, 2016)

Standardized communications of quantitative image analysis results using DICOM: Establishing interoperability through outreach and community engagement. - Andriy Fedorov; Daniel L. Rubin; David A. Clunie; Steve Pieper 001; Ron Kikinis (CRI, 2017)

Transforming Dermatologic Imaging for the Digital Era: Metadata and Standards. - Liam J. Caffery; David A. Clunie; Clara Curiel-Lewandrowski; Josep Malvehy; H. Peter Soyer; Allan Halpern (J. Digit. Imaging, 2018)

Letter to the editor of the Journal of Medical Systems: Regarding "De-Identification of Radiomics Data Retaining Longitudinal Temporal Information". - David A. Clunie (J. Medical Syst., 2020)

DICOM in Dermoscopic Research: an Experience Report and a Way Forward. - Liam J. Caffery; Jochen Weber 001; Nicholas R. Kurtansky; David A. Clunie; Steve Langer; George Shih; Allan Halpern; Veronica Rotemberg (J. Digit. Imaging, 2021)

Multispecialty Enterprise Imaging Workgroup Consensus on Interactive Multimedia Reporting Current State and Road to the Future: HIMSS-SIIM Collaborative White Paper. - Christopher J. Roth; David A. Clunie; David J. Vining; Seth J. Berkowitz; Alejandro Berlin; Jean-Pierre Bissonnette; Shawn D. Clark; Toby C. Cornish; Monief Eid; Cree M. Gaskin; Alexander K. Goel; Genevieve C. Jacobs; et al. (J. Digit. Imaging, 2021)

The Importance of Body Part Labeling to Enable Enterprise Imaging: A HIMSS-SIIM Enterprise Imaging Community Collaborative White Paper. - Alexander J. Towbin; Christopher J. Roth; Cheryl A. Petersilge; Kimberley M. Garriott; Kenneth A. Buckwalter; David A. Clunie (J. Digit. Imaging, 2021)

Interactive Multimedia Reporting Technical Considerations: HIMSS-SIIM Collaborative White Paper. - Seth J. Berkowitz; David Kwan; Toby C. Cornish; Elliot Lewis Silver; Karen S. Thullner; Alex Aisen; Marilyn M. Bui; Shawn D. Clark; David A. Clunie; Monief Eid; Douglas J. Hartman; Kinson Ho; et al. (J. Digit. Imaging, 2022)

Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology. - Christopher P. Bridge; Chris Gorman; Steven D. Pieper; Sean W. Doyle; Jochen K. Lennerz; Jayashree Kalpathy-Cramer; David A. Clunie; Andriy Fedorov; Markus D. Herrmann (J. Digit. Imaging, 2022)

Report of the Medical Image De-Identification (MIDI) Task Group - Best Practices and Recommendations. - David A. Clunie; Adam E. Flanders; Adam Taylor; Bradley James Erickson; Brian Bialecki; David Brundage; David Gutman; Fred W. Prior; J. Anthony Seibert; John H. Perry; Judy Wawira Gichoya; Justin S. Kirby; et al. (CoRR, 2023)

Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations. - Deepa Krishnaswamy; Dennis Bontempi; Vamsi Thiriveedhi; Davide Punzo; David A. Clunie; Christopher P. Bridge; Hugo J. W. L. Aerts; Ron Kikinis; Andrey Fedorov (CoRR, 2023)

The NCI Imaging Data Commons as a platform for reproducible research in computational pathology. - Daniela P. Schacherer; Markus D. Herrmann; David A. Clunie; Henning Höfener; William Clifford; William J. R. Longabaugh; Steven D. Pieper; Ron Kikinis; Andrey Fedorov; André Homeyer (Comput. Methods Programs Biomed., 2023)

Automatic classification of prostate MR series type using image content and metadata. - Deepa Krishnaswamy; Balint Kovacs; Stefan Denner; Steven D. Pieper; David A. Clunie; Christopher P. Bridge; Tina Kapur; Klaus H. Maier-Hein; Andrey Fedorov (CoRR, 2024)

Unlocking the Potential of Digital Pathology: Novel Baselines for Compression. - Maximilian Fischer; Peter Neher; Peter J. Schüffler; Sebastian Ziegler; Shuhan Xiao; Robin Peretzke; David A. Clunie; Constantin Ulrich; Michael Baumgartner 001; Alexander Muckenhuber; Silvia Dias Almeida; Michael Götz; et al. (CoRR, 2024)

Medical Image De-Identification Benchmark Challenge. - Linmin Pei; Sutton Granger; Michael W. Rutherford; Ulrike Wagner; Tracy S. Nolan; Kirk E. Smith; Phillip Farmer; Peter Gu; Ambar Rana; Kailing Chen; Thomas Ferleman; Brian Park; et al. (CoRR, 2025)

Medical Image De-Identification Resources: Synthetic DICOM Data and Tools for Validation. - Michael W. Rutherford; Tracy S. Nolan; Linmin Pei; Ulrike Wagner; Qinyan Pan; Phillip Farmer; Kirk E. Smith; Benjamin Kopchick; Laura Opsahl-Ong; Sutton Granger; David A. Clunie; Keyvan Farahani; et al. (CoRR, 2025)