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

Nicholas Petrick

Showing results (1-10 of 109) with videos related to

Pageof 11
Sort By:
JAMA|July 29, 2004
Virtual colonoscopyRonald M Summers, Ingmar Bitter, Nicholas Petrick
Biometrics|October 11, 2020
Discussion on "Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep" by Jean Feng, Scott Emerson, and Noah SimonGene Pennello, Berkman Sahiner, Alexej Gossmann, et al.
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 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.
3D Printing in Medicine|November 17, 2023
Characterization of mechanical stiffness using additive manufacturing and finite element analysis: potential tool for bone health assessmentSriharsha Marupudi, Qian Cao, Ravi Samala, 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.
International Journal of Computational Intelligence and Applications|October 19, 2010
Combining Statistical and Geometric Features for Colonic Polyp Detection in CTC Based on Multiple Kernel LearningShijun Wang, Jianhua Yao, 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|March 6, 2020
Data transformations for statistical assessment of quantitative imaging biomarkers: Application to lung nodule volumetryQi Gong, Qin Li, Marios A Gavrielides, et al.
Pageof 11

Showing results (1-10 of 109) with videos related to

Sort By:
Pageof 11
JAMA|July 29, 2004
Virtual colonoscopyRonald M Summers, Ingmar Bitter, Nicholas Petrick
Biometrics|October 11, 2020
Discussion on "Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep" by Jean Feng, Scott Emerson, and Noah SimonGene Pennello, Berkman Sahiner, Alexej Gossmann, et al.
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 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.
3D Printing in Medicine|November 17, 2023
Characterization of mechanical stiffness using additive manufacturing and finite element analysis: potential tool for bone health assessmentSriharsha Marupudi, Qian Cao, Ravi Samala, 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.
International Journal of Computational Intelligence and Applications|October 19, 2010
Combining Statistical and Geometric Features for Colonic Polyp Detection in CTC Based on Multiple Kernel LearningShijun Wang, Jianhua Yao, 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|March 6, 2020
Data transformations for statistical assessment of quantitative imaging biomarkers: Application to lung nodule volumetryQi Gong, Qin Li, Marios A Gavrielides, et al.
Pageof 11