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

Aaron Carass

Showing results (91-100 of 175) with videos related to

Pageof 18
Sort By:
Proceedings. IEEE International Symposium on Biomedical Imaging|October 4, 2016
INTENSITY INHOMOGENEITY CORRECTION OF MACULAR OCT USING N3 AND RETINAL FLATSPACEAndrew Lang, Aaron Carass, Bruno M Jedynak, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 21, 2016
Segmentation and labeling of the ventricular system in normal pressure hydrocephalus using patch-based tissue classification and multi-atlas labelingLotta M Ellingsen, Snehashis Roy, Aaron Carass, et al.
Medical Image Analysis|October 18, 2017
Intensity inhomogeneity correction of SD-OCT data using macular flatspaceAndrew Lang, Aaron Carass, Bruno M Jedynak, et al.
Multiple Sclerosis International|June 20, 2015
Applying an Open-Source Segmentation Algorithm to Different OCT Devices in Multiple Sclerosis Patients and Healthy Controls: Implications for Clinical TrialsPavan Bhargava, Andrew Lang, Omar Al-Louzi, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|May 13, 2014
LONGITUDINAL INTENSITY NORMALIZATION IN THE PRESENCE OF MULTIPLE SCLEROSIS LESIONSSnehashis Roy, Aaron Carass, Navid Shiee, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|October 28, 2021
DUAL-CYCLE CONSTRAINED BIJECTIVE VAE-GAN FOR TAGGED-TO-CINE MAGNETIC RESONANCE IMAGE SYNTHESISXiaofeng Liu, Fangxu Xing, Jerry L Prince, et al.
Medical Image Analysis|November 29, 2024
A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyondJunyu Chen, Yihao Liu, Shuwen Wei, et al.
Neuroimage|July 4, 2017
Thalamus segmentation using multi-modal feature classification: Validation and pilot study of an age-matched cohortJeffrey Glaister, Aaron Carass, Tziona NessAiver, et al.
Understanding and Interpreting Machine Learning in Medical Image Computing Applications : First International Workshops, MLCN 2018, DLF 2018, and Imimic 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018 :|October 23, 2020
Shortcomings of Ventricle Segmentation Using Deep Convolutional NetworksMuhan Shao, Shuo Han, Aaron Carass, et al.
Journal of Speech, Language, and Hearing Research : JSLHR|January 30, 2023
Analysis of Tongue Muscle Strain During Speech From Multimodal Magnetic Resonance ImagingMuhan Shao, Fangxu Xing, Aaron Carass, et al.
Pageof 18

Showing results (91-100 of 175) with videos related to

Sort By:
Pageof 18
Proceedings. IEEE International Symposium on Biomedical Imaging|October 4, 2016
INTENSITY INHOMOGENEITY CORRECTION OF MACULAR OCT USING N3 AND RETINAL FLATSPACEAndrew Lang, Aaron Carass, Bruno M Jedynak, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 21, 2016
Segmentation and labeling of the ventricular system in normal pressure hydrocephalus using patch-based tissue classification and multi-atlas labelingLotta M Ellingsen, Snehashis Roy, Aaron Carass, et al.
Medical Image Analysis|October 18, 2017
Intensity inhomogeneity correction of SD-OCT data using macular flatspaceAndrew Lang, Aaron Carass, Bruno M Jedynak, et al.
Multiple Sclerosis International|June 20, 2015
Applying an Open-Source Segmentation Algorithm to Different OCT Devices in Multiple Sclerosis Patients and Healthy Controls: Implications for Clinical TrialsPavan Bhargava, Andrew Lang, Omar Al-Louzi, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|May 13, 2014
LONGITUDINAL INTENSITY NORMALIZATION IN THE PRESENCE OF MULTIPLE SCLEROSIS LESIONSSnehashis Roy, Aaron Carass, Navid Shiee, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|October 28, 2021
DUAL-CYCLE CONSTRAINED BIJECTIVE VAE-GAN FOR TAGGED-TO-CINE MAGNETIC RESONANCE IMAGE SYNTHESISXiaofeng Liu, Fangxu Xing, Jerry L Prince, et al.
Medical Image Analysis|November 29, 2024
A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyondJunyu Chen, Yihao Liu, Shuwen Wei, et al.
Neuroimage|July 4, 2017
Thalamus segmentation using multi-modal feature classification: Validation and pilot study of an age-matched cohortJeffrey Glaister, Aaron Carass, Tziona NessAiver, et al.
Understanding and Interpreting Machine Learning in Medical Image Computing Applications : First International Workshops, MLCN 2018, DLF 2018, and Imimic 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018 :|October 23, 2020
Shortcomings of Ventricle Segmentation Using Deep Convolutional NetworksMuhan Shao, Shuo Han, Aaron Carass, et al.
Journal of Speech, Language, and Hearing Research : JSLHR|January 30, 2023
Analysis of Tongue Muscle Strain During Speech From Multimodal Magnetic Resonance ImagingMuhan Shao, Fangxu Xing, Aaron Carass, et al.
Pageof 18