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Refinado por: assunto: Brain remover assunto: Brain Architecture remover
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BrainMNet: a unified neural network architecture for brain image classification
BrainMNet: a unified neural network architecture for brain image classification
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BrainMNet: a unified neural network architecture for brain image classification

Ghosh, Sudip ; Deepti ; Gupta, Shivam

Network modeling and analysis in health informatics and bioinformatics (Wien), 2024-12, Vol.13 (1), p.11 [Periódico revisado por pares]

Vienna: Springer Vienna

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A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence
A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence
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A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence

Zhang, Aiying ; Zhang, Gemeng ; Cai, Biao ; Wilson, Tony W. ; Stephen, Julia M. ; Calhoun, Vince D. ; Wang, Yu-Ping

Network neuroscience (Cambridge, Mass.), 2024-10, Vol.8 (3), p.791-807 [Periódico revisado por pares]

255 Main Street, 9th Floor, Cambridge, Massachusetts 02142, USA: MIT Press

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Network-level enrichment provides a framework for biological interpretation of machine learning results
Network-level enrichment provides a framework for biological interpretation of machine learning results
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Network-level enrichment provides a framework for biological interpretation of machine learning results

Li, Jiaqi ; Segel, Ari ; Feng, Xinyang ; Tu, Jiaxin Cindy ; Eck, Andy ; King, Kelsey T. ; Adeyemo, Babatunde ; Karcher, Nicole R. ; Chen, Likai ; Eggebrecht, Adam T. ; Wheelock, Muriah D.

Network neuroscience (Cambridge, Mass.), 2024-10, Vol.8 (3), p.762-790 [Periódico revisado por pares]

255 Main Street, 9th Floor, Cambridge, Massachusetts 02142, USA: MIT Press

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4
SpectroCVT-Net: A convolutional vision transformer architecture and channel attention for classifying Alzheimer’s disease using spectrograms
SpectroCVT-Net: A convolutional vision transformer architecture and channel attention for classifying Alzheimer’s disease using spectrograms
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SpectroCVT-Net: A convolutional vision transformer architecture and channel attention for classifying Alzheimer’s disease using spectrograms

Bravo-Ortiz, Mario Alejandro ; Guevara-Navarro, Ernesto ; Holguín-García, Sergio Alejandro ; Rivera-Garcia, Mariana ; Cardona-Morales, Oscar ; Ruz, Gonzalo A. ; Tabares-Soto, Reinel

Computers in biology and medicine, 2024-10, Vol.181, p.109022, Article 109022 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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5
When I use a word . . . The pharmacology of love and sex
When I use a word . . . The pharmacology of love and sex
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When I use a word . . . The pharmacology of love and sex

Aronson, Jeffrey K

BMJ (Online), 2024-09, Vol.386, p.q1952 [Periódico revisado por pares]

London: British Medical Journal Publishing Group

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6
Cognitive processing speed and accuracy are intrinsically different in genetic architecture and brain phenotypes
Cognitive processing speed and accuracy are intrinsically different in genetic architecture and brain phenotypes
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Cognitive processing speed and accuracy are intrinsically different in genetic architecture and brain phenotypes

Li, Mingyang ; Dang, Xixi ; Chen, Yiwei ; Chen, Zhifan ; Xu, Xinyi ; Zhao, Zhiyong ; Wu, Dan

Nature communications, 2024-09, Vol.15 (1), p.7786-11, Article 7786 [Periódico revisado por pares]

London: Nature Publishing Group

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7
Precision meets generalization: Enhancing brain tumor classification via pretrained DenseNet with global average pooling and hyperparameter tuning
Precision meets generalization: Enhancing brain tumor classification via pretrained DenseNet with global average pooling and hyperparameter tuning
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Precision meets generalization: Enhancing brain tumor classification via pretrained DenseNet with global average pooling and hyperparameter tuning

Aziz, Najam ; Minallah, Nasru ; Frnda, Jaroslav ; Sher, Madiha ; Zeeshan, Muhammad ; Durrani, Amara Haroon Shaikh, Asadullah

PloS one, 2024-09, Vol.19 (9), p.e0307825 [Periódico revisado por pares]

San Francisco: Public Library of Science

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8
Sex differences in functional cortical organization reflect differences in network topology rather than cortical morphometry
Sex differences in functional cortical organization reflect differences in network topology rather than cortical morphometry
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Sex differences in functional cortical organization reflect differences in network topology rather than cortical morphometry

Serio, Bianca ; Hettwer, Meike D ; Wiersch, Lisa ; Bignardi, Giacomo ; Sacher, Julia ; Weis, Susanne ; Eickhoff, Simon B ; Valk, Sofie L

Nature communications, 2024-09, Vol.15 (1), p.7714-15, Article 7714 [Periódico revisado por pares]

London: Nature Publishing Group

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9
MRI analysis of neurodevelopmental anatomy in myelomeningocele: prenatal vs postnatal repair
MRI analysis of neurodevelopmental anatomy in myelomeningocele: prenatal vs postnatal repair
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MRI analysis of neurodevelopmental anatomy in myelomeningocele: prenatal vs postnatal repair

Bruzek, A. K. ; Koller, G. M. ; Karuparti, S. ; Varagur, K. ; Dunbar, A. ; Flanders, T. M. ; Mingo, M. ; Sudanagunta, K. ; Bligard, K. H. ; Odibo, A. ; Vrecenak, J. ; Mian, A. ; Strahle, J. M.

Ultrasound in obstetrics & gynecology, 2024-09, Vol.64 (3), p.362-373 [Periódico revisado por pares]

Chichester, UK: John Wiley & Sons, Ltd

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10
deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks
deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks
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deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks

Fisch, Lukas ; Zumdick, Stefan ; Barkhau, Carlotta ; Emden, Daniel ; Ernsting, Jan ; Leenings, Ramona ; Sarink, Kelvin ; Winter, Nils R. ; Risse, Benjamin ; Dannlowski, Udo ; Hahn, Tim

Computers in biology and medicine, 2024-09, Vol.179, p.108845, Article 108845 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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