Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Burak Yoldemir"'
Autor:
Mehmet Sezgin, Burak Yoldemir
Publikováno v:
Nondestructive Testing and Evaluation. 34:339-353
Buried object identification is an integral part of the humanitarian demining process which enables discarding clutter objects, thereby reducing the overall cost of landmine localisation drastically. In this study, we present a novel buried object id
A novel feature extraction and buried object identification method for ground penetrating radar data are presented. Discriminative features are obtained by modelling the most dynamic peaks of GPR A-scan signals, utilizing principal component analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64dbda2c494525e91e6b25ced2c30e72
https://aperta.ulakbim.gov.tr/record/100211
https://aperta.ulakbim.gov.tr/record/100211
Publikováno v:
IEEE Transactions on Medical Imaging. 35:529-538
A fundamental means for understanding the brain's organizational structure is to group its spatially disparate regions into functional subnetworks based on their interactions. Most community detection techniques are designed for generating partitions
Publikováno v:
Information processing in medical imaging : proceedings of the ... conference. 24
Combining imaging modalities to synthesize their inherent strengths provides a promising means for improving brain subnetwork identification. We propose a multimodal integration technique based on a sex-differentiated formulation of replicator dynami
Publikováno v:
ISBI
Cortical parcellation of the human brain typically serves as a basis for higher-level analyses such as connectivity analysis and investigation of brain network properties. Inferences drawn from such analyses can be significantly confounded if the bra
Publikováno v:
ISBI
Multimodal brain image analysis is gaining popularity as exemplified in the recent surge of techniques dedicated to fusing structural and functional connectivity information. The performance of such endeavors relies on the metrics used to quantify co
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319199917
IPMI
IPMI
Combining imaging modalities to synthesize their inherent strengths provides a promising means for improving brain subnetwork identification. We propose a multimodal integration technique based on a sex-differentiated formulation of replicator dynami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be3b4c45be8be279b764bd1f196f6467
https://doi.org/10.1007/978-3-319-19992-4_61
https://doi.org/10.1007/978-3-319-19992-4_61
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319245737
MICCAI (3)
MICCAI (3)
Reliable cortical parcellation is a crucial step in human brain network analysis since incorrect definition of nodes may invalidate the inferences drawn from the network. Cortical parcellation is typically cast as an unsupervised clustering problem o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a858e20e89c4cc79466f5dfed93308ef
https://doi.org/10.1007/978-3-319-24574-4_3
https://doi.org/10.1007/978-3-319-24574-4_3
Publikováno v:
Information processing in medical imaging : proceedings of the ... conference. 23
Inference of brain activation through the analysis of functional magnetic resonance imaging (fMRI) data is seriously confounded by the high level f noise in the observations. To mitigate the effects of noise, we propose incorporating anatomical conne
Publikováno v:
ISBI
Diffusion magnetic resonance imaging (dMRI) and resting state functional MRI (RS-fMRI) provide two complementary views of brain circuitry. dMRI facilitates the estimation of anatomical connectivity (AC) through fiber tractography, while RS-fMRI enabl