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

Nima Tajbakhsh

Showing results (1-10 of 12) with videos related to

Pageof 2
Sort By:
IEEE Transactions on Medical Imaging|October 14, 2015
Automated Polyp Detection in Colonoscopy Videos Using Shape and Context InformationNima Tajbakhsh, Suryakanth R Gurudu, Jianming Liang
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 30, 2015
A Comprehensive Computer-Aided Polyp Detection System for Colonoscopy VideosNima Tajbakhsh, Suryakanth R Gurudu, Jianming Liang
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 9, 2014
Automatic polyp detection using global geometric constraints and local intensity variation patternsNima Tajbakhsh, Suryakanth R Gurudu, Jianming Liang
IEEE Transactions on Medical Imaging|November 19, 2021
Guest Editorial Annotation-Efficient Deep Learning: The Holy Grail of Medical ImagingNima Tajbakhsh, Holger Roth, Demetri Terzopoulos, et al.
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support : 4Th International Workshop, DLMIA 2018, and 8Th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, S|July 3, 2020
UNet++: A Nested U-Net Architecture for Medical Image SegmentationZongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, et al.
IEEE Transactions on Medical Imaging|December 17, 2019
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image SegmentationZongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, et al.
Medical Image Analysis|August 16, 2019
Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representationNima Tajbakhsh, Jae Y Shin, Michael B Gotway, et al.
Ultrasound in Medicine & Biology|August 24, 2013
Motion analysis of right ventricular dysfunction under mild or moderate pressure overload caused by acute pulmonary embolismNima Tajbakhsh, Hong Wu, Wenzhe Xue, et al.
Medical Image Analysis|April 15, 2020
Embracing imperfect datasets: A review of deep learning solutions for medical image segmentationNima Tajbakhsh, Laura Jeyaseelan, Qian Li, et al.
Proceedings. IEEE International Conference on Computer Vision|July 3, 2020
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and LocalizationMd Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Medical Imaging|October 14, 2015
Automated Polyp Detection in Colonoscopy Videos Using Shape and Context InformationNima Tajbakhsh, Suryakanth R Gurudu, Jianming Liang
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 30, 2015
A Comprehensive Computer-Aided Polyp Detection System for Colonoscopy VideosNima Tajbakhsh, Suryakanth R Gurudu, Jianming Liang
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 9, 2014
Automatic polyp detection using global geometric constraints and local intensity variation patternsNima Tajbakhsh, Suryakanth R Gurudu, Jianming Liang
IEEE Transactions on Medical Imaging|November 19, 2021
Guest Editorial Annotation-Efficient Deep Learning: The Holy Grail of Medical ImagingNima Tajbakhsh, Holger Roth, Demetri Terzopoulos, et al.
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support : 4Th International Workshop, DLMIA 2018, and 8Th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, S|July 3, 2020
UNet++: A Nested U-Net Architecture for Medical Image SegmentationZongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, et al.
IEEE Transactions on Medical Imaging|December 17, 2019
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image SegmentationZongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, et al.
Medical Image Analysis|August 16, 2019
Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representationNima Tajbakhsh, Jae Y Shin, Michael B Gotway, et al.
Ultrasound in Medicine & Biology|August 24, 2013
Motion analysis of right ventricular dysfunction under mild or moderate pressure overload caused by acute pulmonary embolismNima Tajbakhsh, Hong Wu, Wenzhe Xue, et al.
Medical Image Analysis|April 15, 2020
Embracing imperfect datasets: A review of deep learning solutions for medical image segmentationNima Tajbakhsh, Laura Jeyaseelan, Qian Li, et al.
Proceedings. IEEE International Conference on Computer Vision|July 3, 2020
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and LocalizationMd Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, et al.
Pageof 2