Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

David Clunie

Showing results (1-10 of 20) with videos related to

Pageof 2
Sort By:
Journal of Anatomy|January 8, 2021
What is the abdomen? Rationalising clinical and anatomical perspectives using formal semanticsPhilip J B Brown, Yongsheng Gao, David Clunie
Orbit (Amsterdam, Netherlands)|June 6, 2002
Lacrimal gland involvement in Kikuchi-Fujimoto diseasePamela S. Chavis, Amna Fallata, Hailah Al-Hussein, et al.
Research Square|May 15, 2024
Cloud-based large-scale curation of medical imaging data using AI segmentationVamsi Krishna Thiriveedhi, Deepa Krishnaswamy, David Clunie, et al.
Frontiers in Medicine|March 1, 2021
The Role of DICOM in Artificial Intelligence for Skin DiseaseLiam J Caffery, Veronica Rotemberg, Jochen Weber, et al.
Scientific Data|December 5, 2018
An annotated test-retest collection of prostate multiparametric MRIAndriy Fedorov, Michael Schwier, David Clunie, et al.
Journal of Digital Imaging|January 19, 2018
Transforming Dermatologic Imaging for the Digital Era: Metadata and StandardsLiam J Caffery, David Clunie, Clara Curiel-Lewandrowski, et al.
Scientific Data|January 4, 2024
Enrichment of lung cancer computed tomography collections with AI-derived annotationsDeepa Krishnaswamy, Dennis Bontempi, Vamsi Krishna Thiriveedhi, et al.
Cancer Research|November 3, 2017
<i>dcmqi</i>: An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOMChristian Herz, Jean-Christophe Fillion-Robin, Michael Onken, et al.
Peerj|June 4, 2016
DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer researchAndriy Fedorov, David Clunie, Ethan Ulrich, et al.
Medical Physics|August 11, 2020
DICOM re-encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodulesAndrey Fedorov, Matthew Hancock, David Clunie, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Journal of Anatomy|January 8, 2021
What is the abdomen? Rationalising clinical and anatomical perspectives using formal semanticsPhilip J B Brown, Yongsheng Gao, David Clunie
Orbit (Amsterdam, Netherlands)|June 6, 2002
Lacrimal gland involvement in Kikuchi-Fujimoto diseasePamela S. Chavis, Amna Fallata, Hailah Al-Hussein, et al.
Research Square|May 15, 2024
Cloud-based large-scale curation of medical imaging data using AI segmentationVamsi Krishna Thiriveedhi, Deepa Krishnaswamy, David Clunie, et al.
Frontiers in Medicine|March 1, 2021
The Role of DICOM in Artificial Intelligence for Skin DiseaseLiam J Caffery, Veronica Rotemberg, Jochen Weber, et al.
Scientific Data|December 5, 2018
An annotated test-retest collection of prostate multiparametric MRIAndriy Fedorov, Michael Schwier, David Clunie, et al.
Journal of Digital Imaging|January 19, 2018
Transforming Dermatologic Imaging for the Digital Era: Metadata and StandardsLiam J Caffery, David Clunie, Clara Curiel-Lewandrowski, et al.
Scientific Data|January 4, 2024
Enrichment of lung cancer computed tomography collections with AI-derived annotationsDeepa Krishnaswamy, Dennis Bontempi, Vamsi Krishna Thiriveedhi, et al.
Cancer Research|November 3, 2017
<i>dcmqi</i>: An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOMChristian Herz, Jean-Christophe Fillion-Robin, Michael Onken, et al.
Peerj|June 4, 2016
DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer researchAndriy Fedorov, David Clunie, Ethan Ulrich, et al.
Medical Physics|August 11, 2020
DICOM re-encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodulesAndrey Fedorov, Matthew Hancock, David Clunie, et al.
Pageof 2