Matches in SemOpenAlex for { <https://semopenalex.org/work/W4281764721> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W4281764721 abstract "It is of potential clinical value to improve the accuracy of Alzheimer's disease (AD) recognition using structural MRI. We proposed a reparametrized convolutional neural network (Re-CNN) to discriminate AD from NC by applying morphological metrics and deep semantic features. The deep semantic features were extracted through Re-CNN on structural MRI. Considering the high redundancy in deep semantic features, we constrained the similarity of the features and retained the most distinguishing features utilizing the reparametrized module. The Re-CNN model was trained in an end-to-end manner on structural MRI from the ADNI dataset and tested on structural MRI from the AIBL dataset. Our proposed model achieves better performance over some existing structural MRI-based AD recognition models. The experimental results show that morphological metrics along with the constrained deep semantic features can relatively improve AD recognition performance. Our code is available at: https://github.com/czp19940707/Re-CNN." @default.
- W4281764721 created "2022-06-13" @default.
- W4281764721 creator A5031457464 @default.
- W4281764721 creator A5051136100 @default.
- W4281764721 creator A5058918418 @default.
- W4281764721 creator A5063514061 @default.
- W4281764721 creator A5064502177 @default.
- W4281764721 date "2022-05-26" @default.
- W4281764721 modified "2023-09-30" @default.
- W4281764721 title "A Reparametrized CNN Model to Distinguish Alzheimer's Disease Applying Multiple Morphological Metrics and Deep Semantic Features From Structural MRI" @default.
- W4281764721 cites W2017022537 @default.
- W4281764721 cites W2021720039 @default.
- W4281764721 cites W2070949043 @default.
- W4281764721 cites W2078998718 @default.
- W4281764721 cites W2104230802 @default.
- W4281764721 cites W2123329869 @default.
- W4281764721 cites W2155513557 @default.
- W4281764721 cites W2811329691 @default.
- W4281764721 cites W2883432928 @default.
- W4281764721 cites W2904792744 @default.
- W4281764721 cites W2906155095 @default.
- W4281764721 cites W2998160128 @default.
- W4281764721 cites W3022315685 @default.
- W4281764721 cites W3023079706 @default.
- W4281764721 cites W3025729836 @default.
- W4281764721 cites W3138921356 @default.
- W4281764721 doi "https://doi.org/10.3389/fnagi.2022.856391" @default.
- W4281764721 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35721011" @default.
- W4281764721 hasPublicationYear "2022" @default.
- W4281764721 type Work @default.
- W4281764721 citedByCount "0" @default.
- W4281764721 crossrefType "journal-article" @default.
- W4281764721 hasAuthorship W4281764721A5031457464 @default.
- W4281764721 hasAuthorship W4281764721A5051136100 @default.
- W4281764721 hasAuthorship W4281764721A5058918418 @default.
- W4281764721 hasAuthorship W4281764721A5063514061 @default.
- W4281764721 hasAuthorship W4281764721A5064502177 @default.
- W4281764721 hasBestOaLocation W42817647211 @default.
- W4281764721 hasConcept C108583219 @default.
- W4281764721 hasConcept C111919701 @default.
- W4281764721 hasConcept C152124472 @default.
- W4281764721 hasConcept C153180895 @default.
- W4281764721 hasConcept C154945302 @default.
- W4281764721 hasConcept C41008148 @default.
- W4281764721 hasConcept C81363708 @default.
- W4281764721 hasConceptScore W4281764721C108583219 @default.
- W4281764721 hasConceptScore W4281764721C111919701 @default.
- W4281764721 hasConceptScore W4281764721C152124472 @default.
- W4281764721 hasConceptScore W4281764721C153180895 @default.
- W4281764721 hasConceptScore W4281764721C154945302 @default.
- W4281764721 hasConceptScore W4281764721C41008148 @default.
- W4281764721 hasConceptScore W4281764721C81363708 @default.
- W4281764721 hasLocation W42817647211 @default.
- W4281764721 hasLocation W42817647212 @default.
- W4281764721 hasLocation W42817647213 @default.
- W4281764721 hasOpenAccess W4281764721 @default.
- W4281764721 hasPrimaryLocation W42817647211 @default.
- W4281764721 hasRelatedWork W2731899572 @default.
- W4281764721 hasRelatedWork W2999805992 @default.
- W4281764721 hasRelatedWork W3011074480 @default.
- W4281764721 hasRelatedWork W3116150086 @default.
- W4281764721 hasRelatedWork W3133861977 @default.
- W4281764721 hasRelatedWork W3192840557 @default.
- W4281764721 hasRelatedWork W4200173597 @default.
- W4281764721 hasRelatedWork W4291897433 @default.
- W4281764721 hasRelatedWork W4312417841 @default.
- W4281764721 hasRelatedWork W4321369474 @default.
- W4281764721 hasVolume "14" @default.
- W4281764721 isParatext "false" @default.
- W4281764721 isRetracted "false" @default.
- W4281764721 workType "article" @default.