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

Kayvan Najarian

Showing results (51-60 of 171) with videos related to

Pageof 18
Sort By:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Automated Detection of Non-Informative Frames for Colonoscopy Through a Combination of Deep Learning and Feature ExtractionHeming Yao, Ryan W Stidham, Reza Soroushmehr, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Filter-Pruned 3D Convolutional Neural Network for Drowsiness DetectionHeming Yao, Wei Zhang, Rajesh Malhan, et al.
Thescientificworldjournal|July 3, 2013
Bioinformatics and biomedical informaticsKayvan Najarian, Rachid Deriche, Mark A Kon, et al.
Medical Image Analysis|July 25, 2021
Motion-based camera localization system in colonoscopy videosHeming Yao, Ryan W Stidham, Zijun Gao, et al.
BMC Medical Imaging|March 9, 2022
A deep learning framework for automated detection and quantitative assessment of liver traumaNegar Farzaneh, Erica B Stein, Reza Soroushmehr, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Combining predictive capabilities of transcranial doppler with electrocardiogram to predict hemorrhagic shockKayvan Najarian, Roya Hakimzadeh, Kevin Ward, et al.
Diagnostics (Basel, Switzerland)|May 13, 2023
AI-Based Decision Support System for Traumatic Brain Injury: A SurveyFlora Rajaei, Shuyang Cheng, Craig A Williamson, et al.
Biomedical Journal|December 15, 2025
The legacy and future of recurrent neural networks in personalized medicine: A reflection on the 2024 Nobel Physics PrizeEmily Wittrup, Alan Kay, Jett Rosen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Automated Classification of Osteosarcoma and Benign Tumors using RNA-seq and Plain X-rayOlivia Alge, Lu Lu, Zhi Li, et al.
IEEE Journal of Biomedical and Health Informatics|July 12, 2018
Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress SyndromeNarathip Reamaroon, Michael W Sjoding, Kaiwen Lin, et al.
Pageof 18

Showing results (51-60 of 171) with videos related to

Sort By:
Pageof 18
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Automated Detection of Non-Informative Frames for Colonoscopy Through a Combination of Deep Learning and Feature ExtractionHeming Yao, Ryan W Stidham, Reza Soroushmehr, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Filter-Pruned 3D Convolutional Neural Network for Drowsiness DetectionHeming Yao, Wei Zhang, Rajesh Malhan, et al.
Thescientificworldjournal|July 3, 2013
Bioinformatics and biomedical informaticsKayvan Najarian, Rachid Deriche, Mark A Kon, et al.
Medical Image Analysis|July 25, 2021
Motion-based camera localization system in colonoscopy videosHeming Yao, Ryan W Stidham, Zijun Gao, et al.
BMC Medical Imaging|March 9, 2022
A deep learning framework for automated detection and quantitative assessment of liver traumaNegar Farzaneh, Erica B Stein, Reza Soroushmehr, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Combining predictive capabilities of transcranial doppler with electrocardiogram to predict hemorrhagic shockKayvan Najarian, Roya Hakimzadeh, Kevin Ward, et al.
Diagnostics (Basel, Switzerland)|May 13, 2023
AI-Based Decision Support System for Traumatic Brain Injury: A SurveyFlora Rajaei, Shuyang Cheng, Craig A Williamson, et al.
Biomedical Journal|December 15, 2025
The legacy and future of recurrent neural networks in personalized medicine: A reflection on the 2024 Nobel Physics PrizeEmily Wittrup, Alan Kay, Jett Rosen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Automated Classification of Osteosarcoma and Benign Tumors using RNA-seq and Plain X-rayOlivia Alge, Lu Lu, Zhi Li, et al.
IEEE Journal of Biomedical and Health Informatics|July 12, 2018
Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress SyndromeNarathip Reamaroon, Michael W Sjoding, Kaiwen Lin, et al.
Pageof 18