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

Ziba Gandomkar

Showing results (1-10 of 48) with videos related to

Pageof 5
Sort By:
Healthcare Technology Letters|November 27, 2015
Method to classify elderly subjects as fallers and non-fallers based on gait energy imageZiba Gandomkar, Fariba Bahrami
The British Journal of Radiology|July 10, 2019
Visual search in breast imagingZiba Gandomkar, Claudia Mello-Thoms
European Journal of Radiology|August 4, 2023
Investigating the impact of cognitive biases in radiologists' image interpretation: A scoping reviewJacky Chen, Ziba Gandomkar, Warren M Reed
Journal of Pathology Informatics|January 10, 2017
Computer-based image analysis in breast pathologyZiba Gandomkar, Patrick C Brennan, Claudia Mello-Thoms
Journal of Digital Imaging|February 6, 2019
Computer-Assisted Nuclear Atypia Scoring of Breast Cancer: a Preliminary StudyZiba Gandomkar, Patrick C Brennan, Claudia Mello-Thoms
Journal of Pathology Informatics|October 3, 2017
Determining Image Processing Features Describing the Appearance of Challenging Mitotic Figures and Miscounted Nonmitotic ObjectsZiba Gandomkar, Patrick C Brennan, Claudia Mello-Thoms
Journal of Medical Radiation Sciences|November 12, 2019
Artificial Intelligence in medical imaging practice: looking to the futureSarah J Lewis, Ziba Gandomkar, Patrick C Brennan
Journal of Medical Radiation Sciences|August 3, 2023
The use of radiomics in magnetic resonance imaging for the pre-treatment characterisation of breast cancers: A scoping reviewAnnalise Campana, Ziba Gandomkar, Nicola Giannotti, et al.
Artificial Intelligence in Medicine|April 30, 2018
MuDeRN: Multi-category classification of breast histopathological image using deep residual networksZiba Gandomkar, Patrick C Brennan, Claudia Mello-Thoms
Journal of Digital Imaging|April 28, 2022
Using Occlusion-Based Saliency Maps to Explain an Artificial Intelligence Tool in Lung Cancer Screening: Agreement Between Radiologists, Labels, and Visual PromptsZiba Gandomkar, Pek Lan Khong, Amanda Punch, et al.
Pageof 5

Showing results (1-10 of 48) with videos related to

Sort By:
Pageof 5
Healthcare Technology Letters|November 27, 2015
Method to classify elderly subjects as fallers and non-fallers based on gait energy imageZiba Gandomkar, Fariba Bahrami
The British Journal of Radiology|July 10, 2019
Visual search in breast imagingZiba Gandomkar, Claudia Mello-Thoms
European Journal of Radiology|August 4, 2023
Investigating the impact of cognitive biases in radiologists' image interpretation: A scoping reviewJacky Chen, Ziba Gandomkar, Warren M Reed
Journal of Pathology Informatics|January 10, 2017
Computer-based image analysis in breast pathologyZiba Gandomkar, Patrick C Brennan, Claudia Mello-Thoms
Journal of Digital Imaging|February 6, 2019
Computer-Assisted Nuclear Atypia Scoring of Breast Cancer: a Preliminary StudyZiba Gandomkar, Patrick C Brennan, Claudia Mello-Thoms
Journal of Pathology Informatics|October 3, 2017
Determining Image Processing Features Describing the Appearance of Challenging Mitotic Figures and Miscounted Nonmitotic ObjectsZiba Gandomkar, Patrick C Brennan, Claudia Mello-Thoms
Journal of Medical Radiation Sciences|November 12, 2019
Artificial Intelligence in medical imaging practice: looking to the futureSarah J Lewis, Ziba Gandomkar, Patrick C Brennan
Journal of Medical Radiation Sciences|August 3, 2023
The use of radiomics in magnetic resonance imaging for the pre-treatment characterisation of breast cancers: A scoping reviewAnnalise Campana, Ziba Gandomkar, Nicola Giannotti, et al.
Artificial Intelligence in Medicine|April 30, 2018
MuDeRN: Multi-category classification of breast histopathological image using deep residual networksZiba Gandomkar, Patrick C Brennan, Claudia Mello-Thoms
Journal of Digital Imaging|April 28, 2022
Using Occlusion-Based Saliency Maps to Explain an Artificial Intelligence Tool in Lung Cancer Screening: Agreement Between Radiologists, Labels, and Visual PromptsZiba Gandomkar, Pek Lan Khong, Amanda Punch, et al.
Pageof 5