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

Sandy Napel

Showing results (51-60 of 113) with videos related to

Pageof 12
Sort By:
Radiology|January 27, 2005
Alternative input devices for efficient navigation of large CT angiography data setsAnthony J Sherbondy, Djamila Holmlund, Geoffrey D Rubin, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|June 3, 2008
Adaptive border marching algorithm: automatic lung segmentation on chest CT imagesJiantao Pu, Justus Roos, Chin A Yi, et al.
Breast Cancer Research : BCR|September 5, 2018
Magnetic resonance imaging and molecular features associated with tumor-infiltrating lymphocytes in breast cancerJia Wu, Xuejie Li, Xiaodong Teng, et al.
Medical Physics|October 12, 2007
Femoropopliteal artery centerline interpolation using contralateral shapeDavid N Tran, Dominik Fleischmann, Tejas Rakshe, et al.
Cancer|November 2, 2018
Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitatsSandy Napel, Wei Mu, Bruna V Jardim-Perassi, et al.
Medical Physics|May 7, 2010
Assessing operating characteristics of CAD algorithms in the absence of a gold standardKingshuk Roy Choudhury, David S Paik, Chin A Yi, et al.
Radiology|April 4, 2002
Automated generation of curved planar reformations from volume data: method and evaluationRaghav Raman, Sandy Napel, Christopher F Beaulieu, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 26, 2017
Noninvasive radiomics signature based on quantitative analysis of computed tomography images as a surrogate for microvascular invasion in hepatocellular carcinoma: a pilot studyShaimaa Bakr, Sebastian Echegaray, Rajesh Shah, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 11, 2023
Performance of alternative manual and automated deep learning segmentation techniques for the prediction of benign and malignant lung nodulesHeather M Selby, Pritam Mukherjee, Christopher Parham, et al.
Medical Physics|September 9, 2019
Stability and reproducibility of computed tomography radiomic features extracted from peritumoral regions of lung cancer lesionsIlke Tunali, Lawrence O Hall, Sandy Napel, et al.
Pageof 12

Showing results (51-60 of 113) with videos related to

Sort By:
Pageof 12
Radiology|January 27, 2005
Alternative input devices for efficient navigation of large CT angiography data setsAnthony J Sherbondy, Djamila Holmlund, Geoffrey D Rubin, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|June 3, 2008
Adaptive border marching algorithm: automatic lung segmentation on chest CT imagesJiantao Pu, Justus Roos, Chin A Yi, et al.
Breast Cancer Research : BCR|September 5, 2018
Magnetic resonance imaging and molecular features associated with tumor-infiltrating lymphocytes in breast cancerJia Wu, Xuejie Li, Xiaodong Teng, et al.
Medical Physics|October 12, 2007
Femoropopliteal artery centerline interpolation using contralateral shapeDavid N Tran, Dominik Fleischmann, Tejas Rakshe, et al.
Cancer|November 2, 2018
Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitatsSandy Napel, Wei Mu, Bruna V Jardim-Perassi, et al.
Medical Physics|May 7, 2010
Assessing operating characteristics of CAD algorithms in the absence of a gold standardKingshuk Roy Choudhury, David S Paik, Chin A Yi, et al.
Radiology|April 4, 2002
Automated generation of curved planar reformations from volume data: method and evaluationRaghav Raman, Sandy Napel, Christopher F Beaulieu, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 26, 2017
Noninvasive radiomics signature based on quantitative analysis of computed tomography images as a surrogate for microvascular invasion in hepatocellular carcinoma: a pilot studyShaimaa Bakr, Sebastian Echegaray, Rajesh Shah, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 11, 2023
Performance of alternative manual and automated deep learning segmentation techniques for the prediction of benign and malignant lung nodulesHeather M Selby, Pritam Mukherjee, Christopher Parham, et al.
Medical Physics|September 9, 2019
Stability and reproducibility of computed tomography radiomic features extracted from peritumoral regions of lung cancer lesionsIlke Tunali, Lawrence O Hall, Sandy Napel, et al.
Pageof 12