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

Sema Candemir

Showing results (11-20 of 20) with videos related to

Pageof 2
Sort By:
You have reached the last page of results.This site can display upto 20 results.
Journal of Digital Imaging|September 28, 2023
Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational FrameworksSema Candemir, Robert Moranville, Kelvin A Wong, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|May 30, 2020
Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural networkSema Candemir, Richard D White, Mutlu Demirer, et al.
IEEE Transactions on Medical Imaging|November 19, 2013
Lung segmentation in chest radiographs using anatomical atlases with nonrigid registrationSema Candemir, Stefan Jaeger, Kannappan Palaniappan, et al.
International Journal of Computer Assisted Radiology and Surgery|June 21, 2015
Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-raysAlexandros Karargyris, Jenifer Siegelman, Dimitris Tzortzis, et al.
Journal of Digital Imaging|October 19, 2019
Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation, Photometric Conversion, or Transfer LearningVikash Gupta, Mutlu Demirer, Matthew Bigelow, et al.
International Journal of Computer Assisted Radiology and Surgery|October 5, 2018
Detecting drug-resistant tuberculosis in chest radiographsStefan Jaeger, Octavio H Juarez-Espinosa, Sema Candemir, et al.
IEEE Transactions on Medical Imaging|October 11, 2013
Automatic tuberculosis screening using chest radiographsStefan Jaeger, Alexandros Karargyris, Sema Candemir, et al.
Journal of Digital Imaging|April 1, 2021
Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis During CCTA Evaluation of Chest Pain in the Emergency Department: Preparing an Application for Real-world UseRichard D White, Barbaros S Erdal, Mutlu Demirer, et al.
Radiology. Artificial Intelligence|May 3, 2021
A User Interface for Optimizing Radiologist Engagement in Image Data Curation for Artificial IntelligenceMutlu Demirer, Sema Candemir, Matthew T Bigelow, et al.
IEEE Transactions on Technology and Society|December 27, 2022
Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 PatientsHimanshi Allahabadi, Julia Amann, Isabelle Balot, et al.
Pageof 2

Showing results (11-20 of 20) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 20 results.
Journal of Digital Imaging|September 28, 2023
Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational FrameworksSema Candemir, Robert Moranville, Kelvin A Wong, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|May 30, 2020
Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural networkSema Candemir, Richard D White, Mutlu Demirer, et al.
IEEE Transactions on Medical Imaging|November 19, 2013
Lung segmentation in chest radiographs using anatomical atlases with nonrigid registrationSema Candemir, Stefan Jaeger, Kannappan Palaniappan, et al.
International Journal of Computer Assisted Radiology and Surgery|June 21, 2015
Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-raysAlexandros Karargyris, Jenifer Siegelman, Dimitris Tzortzis, et al.
Journal of Digital Imaging|October 19, 2019
Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation, Photometric Conversion, or Transfer LearningVikash Gupta, Mutlu Demirer, Matthew Bigelow, et al.
International Journal of Computer Assisted Radiology and Surgery|October 5, 2018
Detecting drug-resistant tuberculosis in chest radiographsStefan Jaeger, Octavio H Juarez-Espinosa, Sema Candemir, et al.
IEEE Transactions on Medical Imaging|October 11, 2013
Automatic tuberculosis screening using chest radiographsStefan Jaeger, Alexandros Karargyris, Sema Candemir, et al.
Journal of Digital Imaging|April 1, 2021
Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis During CCTA Evaluation of Chest Pain in the Emergency Department: Preparing an Application for Real-world UseRichard D White, Barbaros S Erdal, Mutlu Demirer, et al.
Radiology. Artificial Intelligence|May 3, 2021
A User Interface for Optimizing Radiologist Engagement in Image Data Curation for Artificial IntelligenceMutlu Demirer, Sema Candemir, Matthew T Bigelow, et al.
IEEE Transactions on Technology and Society|December 27, 2022
Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 PatientsHimanshi Allahabadi, Julia Amann, Isabelle Balot, et al.
Pageof 2