FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3207933706> ?p ?o ?g. }

• W3207933706 abstract "Registration is a fundamental task in medical robotics and is often a crucial step for many downstream tasks such as motion analysis, intra-operative tracking and image segmentation. Popular registration methods such as ANTs and NiftyReg optimize objective functions for each pair of images from scratch, which are time-consuming for 3D and sequential images with complex deformations. Recently, deep learning-based registration approaches such as VoxelMorph have been emerging and achieve competitive performance. In this work, we construct a test-time training for deep deformable image registration to improve the generalization ability of conventional learning-based registration model. We design multi-scale deep networks to consecutively model the residual deformations, which is effective for high variational deformations. Extensive experiments validate the effectiveness of multi-scale deep registration with test-time training based on Dice coefficient for image segmentation and mean square error (MSE), normalized local cross-correlation (NLCC) for tissue dense tracking tasks." @default.
• W3207933706 created "2021-10-25" @default.
• W3207933706 creator A5031854562 @default.
• W3207933706 creator A5038836690 @default.
• W3207933706 creator A5045954034 @default.
• W3207933706 creator A5052339079 @default.
• W3207933706 creator A5081735500 @default.
• W3207933706 creator A5084618257 @default.
• W3207933706 date "2021-05-30" @default.
• W3207933706 modified "2023-10-16" @default.
• W3207933706 title "Test-Time Training for Deformable Multi-Scale Image Registration" @default.
• W3207933706 cites W1970928383 @default.
• W3207933706 cites W1998710995 @default.
• W3207933706 cites W2007153649 @default.
• W3207933706 cites W2104095591 @default.
• W3207933706 cites W2107956652 @default.
• W3207933706 cites W2113576511 @default.
• W3207933706 cites W2119848633 @default.
• W3207933706 cites W2155298532 @default.
• W3207933706 cites W2158167845 @default.
• W3207933706 cites W2170167891 @default.
• W3207933706 cites W2342898016 @default.
• W3207933706 cites W2604920239 @default.
• W3207933706 cites W2608822622 @default.
• W3207933706 cites W2610820066 @default.
• W3207933706 cites W2750752294 @default.
• W3207933706 cites W2751297520 @default.
• W3207933706 cites W2752246523 @default.
• W3207933706 cites W2752460469 @default.
• W3207933706 cites W2752785527 @default.
• W3207933706 cites W2753461941 @default.
• W3207933706 cites W2798720196 @default.
• W3207933706 cites W2799913653 @default.
• W3207933706 cites W2890761445 @default.
• W3207933706 cites W2891590469 @default.
• W3207933706 cites W2900237898 @default.
• W3207933706 cites W2901217788 @default.
• W3207933706 cites W2962759210 @default.
• W3207933706 cites W2963904328 @default.
• W3207933706 cites W2964242896 @default.
• W3207933706 cites W2966108228 @default.
• W3207933706 cites W2980116241 @default.
• W3207933706 cites W3018854579 @default.
• W3207933706 cites W3092310353 @default.
• W3207933706 cites W3098269293 @default.
• W3207933706 cites W3104164805 @default.
• W3207933706 doi "https://doi.org/10.1109/icra48506.2021.9561808" @default.
• W3207933706 hasPublicationYear "2021" @default.
• W3207933706 type Work @default.
• W3207933706 sameAs 3207933706 @default.
• W3207933706 citedByCount "8" @default.
• W3207933706 countsByYear W32079337062021 @default.
• W3207933706 countsByYear W32079337062022 @default.
• W3207933706 countsByYear W32079337062023 @default.
• W3207933706 crossrefType "proceedings-article" @default.
• W3207933706 hasAuthorship W3207933706A5031854562 @default.
• W3207933706 hasAuthorship W3207933706A5038836690 @default.
• W3207933706 hasAuthorship W3207933706A5045954034 @default.
• W3207933706 hasAuthorship W3207933706A5052339079 @default.
• W3207933706 hasAuthorship W3207933706A5081735500 @default.
• W3207933706 hasAuthorship W3207933706A5084618257 @default.
• W3207933706 hasBestOaLocation W32079337062 @default.
• W3207933706 hasConcept C108583219 @default.
• W3207933706 hasConcept C11413529 @default.
• W3207933706 hasConcept C115961682 @default.
• W3207933706 hasConcept C121332964 @default.
• W3207933706 hasConcept C124504099 @default.
• W3207933706 hasConcept C153180895 @default.
• W3207933706 hasConcept C154945302 @default.
• W3207933706 hasConcept C155512373 @default.
• W3207933706 hasConcept C166704113 @default.
• W3207933706 hasConcept C2778755073 @default.
• W3207933706 hasConcept C31972630 @default.
• W3207933706 hasConcept C34413123 @default.
• W3207933706 hasConcept C41008148 @default.
• W3207933706 hasConcept C62520636 @default.
• W3207933706 hasConcept C89600930 @default.
• W3207933706 hasConcept C90509273 @default.
• W3207933706 hasConceptScore W3207933706C108583219 @default.
• W3207933706 hasConceptScore W3207933706C11413529 @default.
• W3207933706 hasConceptScore W3207933706C115961682 @default.
• W3207933706 hasConceptScore W3207933706C121332964 @default.
• W3207933706 hasConceptScore W3207933706C124504099 @default.
• W3207933706 hasConceptScore W3207933706C153180895 @default.
• W3207933706 hasConceptScore W3207933706C154945302 @default.
• W3207933706 hasConceptScore W3207933706C155512373 @default.
• W3207933706 hasConceptScore W3207933706C166704113 @default.
• W3207933706 hasConceptScore W3207933706C2778755073 @default.
• W3207933706 hasConceptScore W3207933706C31972630 @default.
• W3207933706 hasConceptScore W3207933706C34413123 @default.
• W3207933706 hasConceptScore W3207933706C41008148 @default.
• W3207933706 hasConceptScore W3207933706C62520636 @default.
• W3207933706 hasConceptScore W3207933706C89600930 @default.
• W3207933706 hasConceptScore W3207933706C90509273 @default.
• W3207933706 hasLocation W32079337061 @default.
• W3207933706 hasLocation W32079337062 @default.
• W3207933706 hasOpenAccess W3207933706 @default.
• W3207933706 hasPrimaryLocation W32079337061 @default.
• W3207933706 hasRelatedWork W1669643531 @default.
• W3207933706 hasRelatedWork W2005437358 @default.

• next