المؤلفون: Veličković, Petar

المساهمون: Liò, Pietro

مصطلحات موضوعية: structural inductive biases, machine learning, deep learning, deep neural networks, graph neural networks, graph convolutional networks, graph attention networks, deep graph infomax, mutual information, unsupervised learning, infomax, graph convolutions, attention, self-attention, cross-modal, antibody, antigen, a` trous, paratope, audiovisual, multimodal, cross-connections, classification, human weight fluctuation, weight objective prediction, convolutional neural networks, recurrent neural networks, fitness data, x-cnn, x-lstm, gat, dgi, sparse datasets, multi-omics, bioinformatics, cortical meshes, graph attention, parcellation, neuroimaging, cortex parcellation, network embeddings, graph embeddings, model selection, structure learning, evolutionary neural networks, optimisation algorithms, neural networks, unsupervised node embedding

URL الوصول: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.774772

المؤلفون: Parisot, S, Glocker, B, Ktena, SI, Arslan, S, Schirmer, MD, Rueckert, D

المصدر: 248 ; 226

مصطلحات موضوعية: Brain connectivity, Connectomics, Cortex parcellation, Markov random fields, diffusion Magnetic Resonance Imaging, functional Magnetic Resonance Imaging, 11 Medical And Health Sciences, 17 Psychology And Cognitive Sciences, Neurology & Neurosurgery

Relation: NeuroImage; http://hdl.handle.net/10044/1/53227; https://dx.doi.org/10.1016/j.neuroimage.2017.09.005

الاتاحة: http://hdl.handle.net/10044/1/53227
https://doi.org/10.1016/j.neuroimage.2017.09.005

المؤلفون: Parsiot, S, Arslan, S, Passerat-Palmbach, J, Wells, WM, Rueckert, D

المساهمون: Commission of the European Communities

المصدر: 83 ; 68

مصطلحات موضوعية: Connectomics, Cortex parcellation, Diffusion Magnetic Resonance Imaging, Group-wise analysis, Spectral clustering, Neurology & Neurosurgery, 11 Medical And Health Sciences, 17 Psychology And Cognitive Sciences

Relation: Neuroimage; http://hdl.handle.net/10044/1/32644; https://dx.doi.org/10.1016/j.neuroimage.2016.05.035; 319456

الاتاحة: http://hdl.handle.net/10044/1/32644
https://doi.org/10.1016/j.neuroimage.2016.05.035

المؤلفون: Nico Stephan Gorbach, Christoph eSchütte, Corina eMelzer, Mathias eGoldau, Olivia eSujazow, Jenia eJitsev, Tania eDouglas, Marc eTittgemeyer

المصدر: Frontiers in Neuroinformatics, Vol 5 (2011)

مصطلحات موضوعية: Information Theory, cortex parcellation, diffusion tractography, hierarchical clustering, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

وصف الملف: electronic resource

Relation: http://journal.frontiersin.org/Journal/10.3389/fninf.2011.00018/full; https://doaj.org/toc/1662-5196

URL الوصول: https://doaj.org/article/70e67598b2aa4ce7bd4d8876d5eb975a

المؤلفون: Gorbach, Nico S., Schütte, Christoph, Melzer, Corina, Goldau, Mathias, Sujazow, Olivia, Jitsev, Jenia, Douglas, Tania, Tittgemeyer, Marc

المصدر: Frontiers in Neuroinformatics, 5

مصطلحات موضوعية: Cortex parcellation, Hierarchical clustering, Information theory, Diffusion tractography

وصف الملف: application/application/pdf

Relation: http://hdl.handle.net/20.500.11850/62945

الاتاحة: https://hdl.handle.net/20.500.11850/62945
https://doi.org/10.3929/ethz-b-000062945

المؤلفون: Daniel Rueckert, Jonathan Passerat-Palmbach, Salim Arslan, William M. Wells, Sarah Parisot

المساهمون: Commission of the European Communities

مصطلحات موضوعية: Male, Connectomics, Cognitive Neuroscience, Sensitivity and Specificity, Article, 050105 experimental psychology, Pattern Recognition, Automated, 17 Psychology And Cognitive Sciences, 03 medical and health sciences, Cortex parcellation, 0302 clinical medicine, Image Interpretation, Computer-Assisted, Spectral clustering, Connectome, Humans, 0501 psychology and cognitive sciences, Computer vision, Group-wise analysis, Cerebral Cortex, Modality (human–computer interaction), Human Connectome Project, Neurology & Neurosurgery, business.industry, 05 social sciences, Reproducibility of Results, Pattern recognition, 11 Medical And Health Sciences, Image Enhancement, Magnetic Resonance Imaging, Diffusion Magnetic Resonance Imaging, Neurology, Cytoarchitecture, Subtraction Technique, Scalability, Female, Artificial intelligence, Nerve Net, Scale (map), Psychology, business, Algorithms, 030217 neurology & neurosurgery

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bbf2cffc2034933e154645d006c6aa3
http://hdl.handle.net/10044/1/32644

المؤلفون: Philippe, Anne-Charlotte, Clerc, Maureen, Papadopoulo, Théodore, Deriche, Rachid

المساهمون: Computational Imaging of the Central Nervous System (ATHENA), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)

المصدر: Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on ; https://inria.hal.science/hal-00858019 ; Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on, Apr 2013, San Francisco, United States. pp.994-997, ⟨10.1109/ISBI.2013.6556644⟩

مصطلحات موضوعية: biodiffusion, biological tissues, biomedical MRI, magnetoencephalography, medical image processing, MEG inverse problem, MEG simulation, WM tissue structure, anatomical connectivity, brain, classical source reconstruction method, cortex parcellation, diffusion MRI, diffusion data, diffusion parcel, dipole magnitude recovery, distributed source model, ill-posed inverse problem, magnetoencephalographic imaging, magnitude value, noninvasive modality, prior knowledge, structural information, Equations, Image reconstruction, Inverse problems, Magnetic resonance imaging, Noise, Vectors, dMRI

جغرافية الموضوع: San Francisco, United States

Relation: hal-00858019; https://inria.hal.science/hal-00858019

الاتاحة: https://inria.hal.science/hal-00858019
https://doi.org/10.1109/ISBI.2013.6556644

المؤلفون: Long, Xiangyu

Thesis Advisors: Schroeter, Matthias, Claßen, Joseph, Universität Leipzig

مصطلحات موضوعية: info:eu-repo/classification/ddc/610, ddc:610, Ruhe sate fMRI sensomotorischen Kortex Parzellierung, resting sate fMRI sensorimotor cortex parcellation

الاتاحة: https://ul.qucosa.de/id/qucosa%3A13268
https://ul.qucosa.de/api/qucosa%3A13268/attachment/ATT-0/

المؤلفون: Long, Xiangyu

المساهمون: Schroeter, Matthias, Claßen, Joseph, Universität Leipzig

مصطلحات موضوعية: Ruhe sate fMRI sensomotorischen Kortex Parzellierung, ddc:610, resting sate fMRI sensorimotor cortex parcellation

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______4178::7b8159ae7c921f679b3c8511abea0cec
https://ul.qucosa.de/id/qucosa:13268

المؤلفون: Zhang, Yaqin, Fan, Lingzhong, Zhang, Yu, Wang, Jiaojian, Zhu, Maohu, Zhang, Yuanchao, Yu, Chunshui, Jiang, Tianzi

مصطلحات موضوعية: Atlas, Connectivity, Cortex parcellation, Diffusion tensor imaging, Parietal cortex, 2804 Cellular and Molecular Neuroscience, 2805 Cognitive Neuroscience

Relation: orcid:0000-0001-9531-291X; 2011CB707801

الاتاحة: https://espace.library.uq.edu.au/view/UQ:325125

المؤلفون: Maureen Clerc, Rachid Deriche, Anne-Charlotte Philippe, Théodore Papadopoulo

المساهمون: Computational Imaging of the Central Nervous System (ATHENA), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)

المصدر: Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on, Apr 2013, San Francisco, United States. pp.994-997, ⟨10.1109/ISBI.2013.6556644⟩
ISBI

مصطلحات موضوعية: magnetoencephalography, Inverse problems, MEG inverse problem, diffusion parcel, Equations, Computer science, brain, biodiffusion, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], biomedical MRI, ill-posed inverse problem, Iterative reconstruction, medical image processing, cortex parcellation, diffusion MRI, diffusion data, Magnetic resonance imaging, Cortex (anatomy), MEG simulation, magnetoencephalographic imaging, medicine, magnitude value, Computer vision, Diffusion (business), noninvasive modality, prior knowledge, medicine.diagnostic_test, business.industry, distributed source model, classical source reconstruction method, Pattern recognition, dMRI, Magnetoencephalography, dipole magnitude recovery, Inverse problem, Vectors, anatomical connectivity, Dipole, medicine.anatomical_structure, structural information, Image reconstruction, WM tissue structure, Artificial intelligence, Noise (video), biological tissues, business, Noise, Diffusion MRI

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d19d15d78921a4794a0c46975e4eb69
https://inria.hal.science/hal-00858019

المؤلفون: Mercier, Martin

المساهمون: Weber, Bernd, Coenen, Volker Arnd

مصطلحات موضوعية: frontales Operculum, probabilistische Traktographie, Broca Area, Kortex Parzellierung, Cortex parcellation, ddc:610

وصف الملف: application/pdf

Relation: info:eu-repo/semantics/altIdentifier/urn/urn:nbn:de:hbz:5n-29366; https://hdl.handle.net/20.500.11811/5183

الاتاحة: https://hdl.handle.net/20.500.11811/5183

المؤلفون: Li, Wen

Thesis Advisors: Magnotta, Vincent A.

المصدر: Theses and Dissertations.

مصطلحات موضوعية: Automated Labeling, Cerebral Cortex Parcellation, Magnetic Resonance Imaging, Spherical Demons, Surface Generation, Surface Registration, Biomedical Engineering and Bioengineering

وصف الملف: application/pdf

الاتاحة: https://ir.uiowa.edu/etd/2928
https://ir.uiowa.edu/cgi/viewcontent.cgi?article=3075&context=etd

المؤلفون: Schroeter, Matthias, Claßen, Joseph, Universität Leipzig, Long, Xiangyu

مصطلحات الفهرس: info:eu-repo/classification/ddc/610, ddc:610, Ruhe sate fMRI sensomotorischen Kortex Parzellierung, resting sate fMRI sensorimotor cortex parcellation, doc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text

المؤلفون: Claßen, Joseph, Universität Leipzig, Long, Xiangyu

مصطلحات الفهرس: info:eu-repo/classification/ddc/610, ddc:610, Ruhe sate fMRI sensomotorischen Kortex Parzellierung, resting sate fMRI sensorimotor cortex parcellation, doc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text