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

Justin S Kirby

Showing results (1-10 of 15) with videos related to

Pageof 2
Sort By:
Journal of Digital Imaging|November 1, 2011
Image data sharing for biomedical research--meeting HIPAA requirements for De-identificationJohn B Freymann, Justin S Kirby, John H Perry, et al.
International Journal of Radiation Oncology, Biology, Physics|June 16, 2016
How Can We Effect Culture Change Toward Data-Driven Medicine?Charles S Mayo, Joseph O Deasy, Bhishamjit S Chera, et al.
JCO Clinical Cancer Informatics|December 14, 2019
Call for Data Standardization: Lessons Learned and Recommendations in an Imaging StudyAmrita Basu, Denise Warzel, Aras Eftekhari, et al.
Scientific Data|September 6, 2017
Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic featuresSpyridon Bakas, Hamed Akbari, Aristeidis Sotiras, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
LUNGx Challenge for computerized lung nodule classification: reflections and lessons learnedSamuel G Armato, Lubomir Hadjiiski, Georgia D Tourassi, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|May 14, 2015
De-identification of Medical Images with Retention of Scientific Research ValueStephen M Moore, David R Maffitt, Kirk E Smith, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 7, 2019
PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance imagesSamuel G Armato, Henkjan Huisman, Karen Drukker, et al.
Journal of Medical Imaging (Bellingham, Wash.)|December 27, 2016
LUNGx Challenge for computerized lung nodule classificationSamuel G Armato, Karen Drukker, Feng Li, et al.
Academic Radiology|May 17, 2017
Letter to the Editor: Use of Publicly Available Image ResourcesSamuel G Armato, Karen Drukker, Feng Li, et al.
Journal of Neurosurgery|October 17, 2015
A combinatorial radiographic phenotype may stratify patient survival and be associated with invasion and proliferation characteristics in glioblastomaArvind Rao, Ganesh Rao, David A Gutman, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Journal of Digital Imaging|November 1, 2011
Image data sharing for biomedical research--meeting HIPAA requirements for De-identificationJohn B Freymann, Justin S Kirby, John H Perry, et al.
International Journal of Radiation Oncology, Biology, Physics|June 16, 2016
How Can We Effect Culture Change Toward Data-Driven Medicine?Charles S Mayo, Joseph O Deasy, Bhishamjit S Chera, et al.
JCO Clinical Cancer Informatics|December 14, 2019
Call for Data Standardization: Lessons Learned and Recommendations in an Imaging StudyAmrita Basu, Denise Warzel, Aras Eftekhari, et al.
Scientific Data|September 6, 2017
Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic featuresSpyridon Bakas, Hamed Akbari, Aristeidis Sotiras, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
LUNGx Challenge for computerized lung nodule classification: reflections and lessons learnedSamuel G Armato, Lubomir Hadjiiski, Georgia D Tourassi, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|May 14, 2015
De-identification of Medical Images with Retention of Scientific Research ValueStephen M Moore, David R Maffitt, Kirk E Smith, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 7, 2019
PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance imagesSamuel G Armato, Henkjan Huisman, Karen Drukker, et al.
Journal of Medical Imaging (Bellingham, Wash.)|December 27, 2016
LUNGx Challenge for computerized lung nodule classificationSamuel G Armato, Karen Drukker, Feng Li, et al.
Academic Radiology|May 17, 2017
Letter to the Editor: Use of Publicly Available Image ResourcesSamuel G Armato, Karen Drukker, Feng Li, et al.
Journal of Neurosurgery|October 17, 2015
A combinatorial radiographic phenotype may stratify patient survival and be associated with invasion and proliferation characteristics in glioblastomaArvind Rao, Ganesh Rao, David A Gutman, et al.
Pageof 2