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Genome-wide association studies of brain imaging phenotypes in UK Biobank
Genome-wide association studies of brain imaging phenotypes in UK Biobank
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Genome-wide association studies of brain imaging phenotypes in UK Biobank

Elliott, Lloyd T ; Sharp, Kevin ; Alfaro-Almagro, Fidel ; Shi, Sinan ; Miller, Karla L ; Douaud, Gwenaëlle ; Marchini, Jonathan ; Smith, Stephen M

Nature (London), 2018-10, Vol.562 (7726), p.210-216 [Periódico revisado por pares]

England: Nature Publishing Group

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2
Multi-scale detection of hierarchical community architecture in structural and functional brain networks
Multi-scale detection of hierarchical community architecture in structural and functional brain networks
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Multi-scale detection of hierarchical community architecture in structural and functional brain networks

Ashourvan, Arian ; Telesford, Qawi K ; Verstynen, Timothy ; Vettel, Jean M ; Bassett, Danielle S Radicchi, Filippo

PloS one, 2019-05, Vol.14 (5), p.e0215520-e0215520 [Periódico revisado por pares]

United States: Public Library of Science

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3
Genome-wide association analysis of 19,629 individuals identifies variants influencing regional brain volumes and refines their genetic co-architecture with cognitive and mental health traits
Genome-wide association analysis of 19,629 individuals identifies variants influencing regional brain volumes and refines their genetic co-architecture with cognitive and mental health traits
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Genome-wide association analysis of 19,629 individuals identifies variants influencing regional brain volumes and refines their genetic co-architecture with cognitive and mental health traits

Zhao, Bingxin ; Luo, Tianyou ; Li, Tengfei ; Li, Yun ; Zhang, Jingwen ; Shan, Yue ; Wang, Xifeng ; Yang, Liuqing ; Zhou, Fan ; Zhu, Ziliang ; Zhu, Hongtu

Nature genetics, 2019-11, Vol.51 (11), p.1637-1644 [Periódico revisado por pares]

United States: Nature Publishing Group

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4
Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture
Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture
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Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture

Lee, Bumshik ; Yamanakkanavar, Nagaraj ; Choi, Jae Young Punithakumar, Kumaradevan

PloS one, 2020-08, Vol.15 (8), p.e0236493-e0236493 [Periódico revisado por pares]

United States: Public Library of Science

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5
Automatic brain tumor detection using CNN transfer learning approach
Automatic brain tumor detection using CNN transfer learning approach
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Automatic brain tumor detection using CNN transfer learning approach

Bairagi, Vinayak K. ; Gumaste, Pratima Purushottam ; Rajput, Seema H. ; Chethan K. S.

Medical & biological engineering & computing, 2023-07, Vol.61 (7), p.1821-1836 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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6
BRAPH: A graph theory software for the analysis of brain connectivity
BRAPH: A graph theory software for the analysis of brain connectivity
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BRAPH: A graph theory software for the analysis of brain connectivity

Mijalkov, Mite ; Kakaei, Ehsan ; Pereira, Joana B ; Westman, Eric ; Volpe, Giovanni Hayasaka, Satoru

PloS one, 2017-08, Vol.12 (8), p.e0178798-e0178798 [Periódico revisado por pares]

United States: Public Library of Science

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7
Brain charts for the human lifespan
Brain charts for the human lifespan
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Brain charts for the human lifespan

Anderson, K M ; Adamson, C ; Adler, S ; Alexopoulos, G S ; Areces-Gonzalez, A ; Auyeung, B ; Ayub, M ; Ball, G ; Baron-Cohen, S ; Beare, R ; Benegal, V ; Calhoun, V D ; Chakravarty, M M ; Chertavian, C ; Chetelat, G ; Cole, J H ; Corvin, A ; Costantino, M ; Crivello, F ; Cropley, V L ; Delorme, R ; Desrivieres, S ; Donald, K A ; Donohoe, G ; Edwards, A D ; Elison, J T ; Ellis, C T ; Elman, J A ; Eyler, L ; Fair, D A ; Feczko, E ; Galan-Garcia, L ; Giedd, J ; Gilmore, J H ; Gur, R E ; Hammill, C F ; Heinz, A ; Heuer, K ; Holla, B ; Huang, H ; Im, K ; Ipser, J ; Johnson, K A ; Jones, P B ; Karlsson, L ; Kawashima, R ; Kern, S ; Lalonde, F ; Landeau, B ; Lee, S ; Lewis, J D ; Li, J ; Liston, C ; Lombardo, M V ; Lv, J ; Mallard, T T ; Marcelis, M ; Markello, R D ; McGuire, P ; Meaney, M J ; Misic, B ; Morgan, S E ; Ong, M Q W ; Ortinau, C ; Ouyang, M ; Palaniyappan, L ; Pantelis, C ; Park, M M ; Paus, T ; Pierce, K ; Qian, X ; Qiu, J ; Qiu, A ; Raznahan, A ; Rollins, C K ; Rowitch, D H ; Salum, G A ; Schaare, H L ; Schultz, A P ; Schöll, M ; Shinohara, R T ; Smyser, C D ; Sullivan, G ; Traut, N ; Turk-Browne, N B ; Tuulari, J J ; Tzourio, C ; Vachon-Presseau, É ; Valdes-Sosa, P A ; van Amelsvoort, T ; Vandekar, S N ; Vasung, L ; Victoria, L W ; Villeneuve, S ; Warfield, S K ; Yang, N ; Zalesky, A ; Zettergren, A ; Zugman, A ; Zuo, X N

Nature (London), 2022-04, Vol.604 (7906), p.525-533 [Periódico revisado por pares]

England: Nature Publishing Group

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8
Uncovering intrinsic modular organization of spontaneous brain activity in humans
Uncovering intrinsic modular organization of spontaneous brain activity in humans
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Uncovering intrinsic modular organization of spontaneous brain activity in humans

He, Yong ; Wang, Jinhui ; Wang, Liang ; Chen, Zhang J ; Yan, Chaogan ; Yang, Hong ; Tang, Hehan ; Zhu, Chaozhe ; Gong, Qiyong ; Zang, Yufeng ; Evans, Alan C Sporns, Olaf

PloS one, 2009-04, Vol.4 (4), p.e5226-e5226 [Periódico revisado por pares]

United States: Public Library of Science

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9
Issues and recommendations from the OHBM COBIDAS MEEG committee for reproducible EEG and MEG research
Issues and recommendations from the OHBM COBIDAS MEEG committee for reproducible EEG and MEG research
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Issues and recommendations from the OHBM COBIDAS MEEG committee for reproducible EEG and MEG research

Pernet, Cyril ; Garrido, Marta I ; Gramfort, Alexandre ; Maurits, Natasha ; Michel, Christoph M ; Pang, Elizabeth ; Salmelin, Riitta ; Schoffelen, Jan Mathijs ; Valdes-Sosa, Pedro A ; Puce, Aina

Nature neuroscience, 2020-12, Vol.23 (12), p.1473-1483 [Periódico revisado por pares]

United States: Nature Publishing Group

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10
Classification of brain tumors from MR images using deep transfer learning
Classification of brain tumors from MR images using deep transfer learning
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Classification of brain tumors from MR images using deep transfer learning

Polat Özlem ; Cahfer, Güngen

The Journal of supercomputing, 2021-07, Vol.77 (7), p.7236-7252 [Periódico revisado por pares]

New York: Springer US

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