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

Aria Pezeshk

Showing results (1-10 of 14) with videos related to

Pageof 2
Sort By:
AJR. American Journal of Roentgenology|November 21, 2015
The Use of Lossy Compression of Digital Mammograms for Primary Interpretation and Image RetentionDavid L Lerner, Aria Pezeshk
Proceedings of Spie--The International Society for Optical Engineering|August 29, 2017
3D Convolutional Neural Network for Automatic Detection of Lung Nodules in Chest CTSardar Hamidian, Berkman Sahiner, Nicholas Petrick, et al.
IEEE Journal of Biomedical and Health Informatics|November 13, 2018
3-D Convolutional Neural Networks for Automatic Detection of Pulmonary Nodules in Chest CTAria Pezeshk, Sardar Hamidian, Nicholas Petrick, et al.
IEEE Transactions on Medical Imaging|January 24, 2017
Seamless Lesion Insertion for Data Augmentation in CAD TrainingAria Pezeshk, Nicholas Petrick, Weijie Chen, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 7, 2019
Computational insertion of microcalcification clusters on mammograms: reader differentiation from native clusters and computer-aided detection comparisonZahra Ghanian, Aria Pezeshk, Nicholas Petrick, et al.
Medical Physics|May 1, 2021
Automatic lung nodule detection in thoracic CT scans using dilated slice-wise convolutionsM Mehdi Farhangi, Berkman Sahiner, Nicholas Petrick, et al.
Statistical Methods in Medical Research|August 11, 2016
Calibration of medical diagnostic classifier scores to the probability of diseaseWeijie Chen, Berkman Sahiner, Frank Samuelson, et al.
IEEE Transactions on Bio-Medical Engineering|June 17, 2015
Seamless Insertion of Pulmonary Nodules in Chest CT ImagesAria Pezeshk, Berkman Sahiner, Rongping Zeng, et al.
Medical Physics|February 8, 2020
Recurrent attention network for false positive reduction in the detection of pulmonary nodules in thoracic CT scansM Mehdi Farhangi, Nicholas Petrick, Berkman Sahiner, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 26, 2019
Evaluation of data augmentation via synthetic images for improved breast mass detection on mammograms using deep learningKenny H Cha, Nicholas Petrick, Aria Pezeshk, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
AJR. American Journal of Roentgenology|November 21, 2015
The Use of Lossy Compression of Digital Mammograms for Primary Interpretation and Image RetentionDavid L Lerner, Aria Pezeshk
Proceedings of Spie--The International Society for Optical Engineering|August 29, 2017
3D Convolutional Neural Network for Automatic Detection of Lung Nodules in Chest CTSardar Hamidian, Berkman Sahiner, Nicholas Petrick, et al.
IEEE Journal of Biomedical and Health Informatics|November 13, 2018
3-D Convolutional Neural Networks for Automatic Detection of Pulmonary Nodules in Chest CTAria Pezeshk, Sardar Hamidian, Nicholas Petrick, et al.
IEEE Transactions on Medical Imaging|January 24, 2017
Seamless Lesion Insertion for Data Augmentation in CAD TrainingAria Pezeshk, Nicholas Petrick, Weijie Chen, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 7, 2019
Computational insertion of microcalcification clusters on mammograms: reader differentiation from native clusters and computer-aided detection comparisonZahra Ghanian, Aria Pezeshk, Nicholas Petrick, et al.
Medical Physics|May 1, 2021
Automatic lung nodule detection in thoracic CT scans using dilated slice-wise convolutionsM Mehdi Farhangi, Berkman Sahiner, Nicholas Petrick, et al.
Statistical Methods in Medical Research|August 11, 2016
Calibration of medical diagnostic classifier scores to the probability of diseaseWeijie Chen, Berkman Sahiner, Frank Samuelson, et al.
IEEE Transactions on Bio-Medical Engineering|June 17, 2015
Seamless Insertion of Pulmonary Nodules in Chest CT ImagesAria Pezeshk, Berkman Sahiner, Rongping Zeng, et al.
Medical Physics|February 8, 2020
Recurrent attention network for false positive reduction in the detection of pulmonary nodules in thoracic CT scansM Mehdi Farhangi, Nicholas Petrick, Berkman Sahiner, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 26, 2019
Evaluation of data augmentation via synthetic images for improved breast mass detection on mammograms using deep learningKenny H Cha, Nicholas Petrick, Aria Pezeshk, et al.
Pageof 2