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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 02826naa a2200337 4500 | |
| 001 | oai:lup.lub.lu.se:a8c5b305-19af-48b5-9d1a-9f786d514e9a | |
| 003 | SwePub | |
| 008 | 210111s2020 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://lup.lub.lu.se/record/a8c5b305-19af-48b5-9d1a-9f786d514e9a2 URI |
| 024 | 7 | a https://doi.org/10.1109/ISBI45749.2020.90986672 DOI |
| 040 | a (SwePub)lu | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a kon2 swepub-publicationtype |
| 072 | 7 | a ref2 swepub-contenttype |
| 100 | 1 | a Behjat, Hamidu Lund University,Lunds universitet,Avdelningen för Biomedicinsk teknik,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH4 aut0 (Swepub:lu)eit-hbj |
| 245 | 1 0 | a Spectral Characterization of Functional MRI Data on Voxel-Resolution Cortical Graphs |
| 264 | 1 | c 2020 |
| 300 | a 5 s. | |
| 520 | a The human cortical layer exhibits a convoluted morphology that is unique to each individual. Conventional volumetric fMRI processing schemes take for granted the rich information provided by the underlying anatomy. We present a method to study fMRI data on subject-specific cerebral hemisphere cortex (CHC) graphs, which encode the cortical morphology at the resolution of voxels in 3-D. Using graph signal processing principles, we study spectral energy metrics associated to fMRI data, on 100 subjects from the Human Connectome Project database, across seven tasks. Experimental results signify the strength of CHC graphs' Laplacian eigenvector bases in capturing subtle spatial patterns specific to different functional loads as well as to sets of experimental conditions within each task. | |
| 650 | 7 | a TEKNIK OCH TEKNOLOGIERx Medicinteknikx Medicinsk bildbehandling0 (SwePub)206032 hsv//swe |
| 650 | 7 | a ENGINEERING AND TECHNOLOGYx Medical Engineeringx Medical Image Processing0 (SwePub)206032 hsv//eng |
| 653 | a cortical morphology | |
| 653 | a functional MRI | |
| 653 | a graph signal processing | |
| 700 | 1 | a Larsson, Martinu Lund University,Lunds universitet,Matematik LTH,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Mathematics (Faculty of Engineering),Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH4 aut0 (Swepub:lu)ma2618la |
| 710 | 2 | a Avdelningen för Biomedicinsk teknikb Institutionen för biomedicinsk teknik4 org |
| 773 | 0 | t ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imagingg 2020-April, s. 558-562q 2020-April<558-562x 1945-7928x 1945-8452z 9781538693308 |
| 856 | 4 | u http://dx.doi.org/10.1109/ISBI45749.2020.9098667y FULLTEXT |
| 856 | 4 8 | u https://lup.lub.lu.se/record/a8c5b305-19af-48b5-9d1a-9f786d514e9a |
| 856 | 4 8 | u https://doi.org/10.1109/ISBI45749.2020.9098667 |
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