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1
Conformational selection in protein binding and function
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Artigo
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Conformational selection in protein binding and function

Weikl, Thomas R. ; Paul, Fabian

Protein science, 2014-11, Vol.23 (11), p.1508-1518 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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2
Theory and practice of micro water-oil displacement efficiency based on mathematical models
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Artigo
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Theory and practice of micro water-oil displacement efficiency based on mathematical models

Liu, Haohan

Journal of mathematics in industry, 2019-04, Vol.9 (1), p.1-11, Article 4 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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3
Pore structure characterization based on joint numerical and experimental study: a case study of Nanpu Sag
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Artigo
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Pore structure characterization based on joint numerical and experimental study: a case study of Nanpu Sag

Li, Hatitao ; Deng, Shaogui ; Yuan, Xiyong ; Hu, Xufei ; Niu, Yunfeng

Journal of petroleum exploration and production technology, 2020-01, Vol.10 (1), p.183-195

Cham: Springer International Publishing

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4
Magnetization Transfer Contrast and Chemical Exchange Saturation Transfer MRI. Features and analysis of the field-dependent saturation spectrum
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Magnetization Transfer Contrast and Chemical Exchange Saturation Transfer MRI. Features and analysis of the field-dependent saturation spectrum

van Zijl, Peter C.M. ; Lam, Wilfred W. ; Xu, Jiadi ; Knutsson, Linda ; Stanisz, Greg J.

NeuroImage (Orlando, Fla.), 2018-03, Vol.168, p.222-241 [Periódico revisado por pares]

United States: Elsevier Inc

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5
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
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Unsupervised domain adaptation for medical imaging segmentation with self-ensembling

Perone, Christian S. ; Ballester, Pedro ; Barros, Rodrigo C. ; Cohen-Adad, Julien

NeuroImage (Orlando, Fla.), 2019-07, Vol.194, p.1-11 [Periódico revisado por pares]

United States: Elsevier Inc

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6
Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation
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Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation

Eickhoff, Simon B. ; Nichols, Thomas E. ; Laird, Angela R. ; Hoffstaedter, Felix ; Amunts, Katrin ; Fox, Peter T. ; Bzdok, Danilo ; Eickhoff, Claudia R.

NeuroImage (Orlando, Fla.), 2016-08, Vol.137, p.70-85 [Periódico revisado por pares]

United States: Elsevier Inc

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7
The valuation system: A coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value
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The valuation system: A coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value

Bartra, Oscar ; McGuire, Joseph T. ; Kable, Joseph W.

NeuroImage (Orlando, Fla.), 2013-08, Vol.76, p.412-427 [Periódico revisado por pares]

Amsterdam: Elsevier Inc

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8
Permutation inference for the general linear model
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Artigo
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Permutation inference for the general linear model

Winkler, Anderson M. ; Ridgway, Gerard R. ; Webster, Matthew A. ; Smith, Stephen M. ; Nichols, Thomas E.

NeuroImage (Orlando, Fla.), 2014-05, Vol.92 (100), p.381-397 [Periódico revisado por pares]

Amsterdam: Elsevier Inc

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9
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach
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Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach

Valverde, Sergi ; Cabezas, Mariano ; Roura, Eloy ; González-Villà, Sandra ; Pareto, Deborah ; Vilanova, Joan C. ; Ramió-Torrentà, Lluís ; Rovira, Àlex ; Oliver, Arnau ; Lladó, Xavier

NeuroImage (Orlando, Fla.), 2017-07, Vol.155, p.159-168 [Periódico revisado por pares]

United States: Elsevier Inc

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10
Toward dynamic structural biology: Two decades of single-molecule Förster resonance energy transfer
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Toward dynamic structural biology: Two decades of single-molecule Förster resonance energy transfer

Lerner, Eitan ; Cordes, Thorben ; Ingargiola, Antonino ; Alhadid, Yazan ; Chung, SangYoon ; Michalet, Xavier ; Weiss, Shimon

Science (American Association for the Advancement of Science), 2018-01, Vol.359 (6373) [Periódico revisado por pares]

United States: The American Association for the Advancement of Science

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