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Refinado por: Base de dados/Biblioteca: EBSCO_MEDLINE Complete（医学期刊全文数据库） remover Base de dados/Biblioteca: Wiley Online Library remover
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1
SPICER: Self-supervised learning for MRI with automatic coil sensitivity estimation and reconstruction
SPICER: Self-supervised learning for MRI with automatic coil sensitivity estimation and reconstruction
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SPICER: Self-supervised learning for MRI with automatic coil sensitivity estimation and reconstruction

Hu, Yuyang ; Gan, Weijie ; Ying, Chunwei ; Wang, Tongyao ; Eldeniz, Cihat ; Liu, Jiaming ; Chen, Yasheng ; An, Hongyu ; Kamilov, Ulugbek S

Magnetic resonance in medicine, 2024-09, Vol.92 (3), p.1048-1063 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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2
Enhancing quality and speed in database‐free neural network reconstructions of undersampled MRI with SCAMPI
Enhancing quality and speed in database‐free neural network reconstructions of undersampled MRI with SCAMPI
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Enhancing quality and speed in database‐free neural network reconstructions of undersampled MRI with SCAMPI

Siedler, Thomas M. ; Jakob, Peter M. ; Herold, Volker

Magnetic resonance in medicine, 2024-09, Vol.92 (3), p.1232-1247 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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3
Using a deep learning prior for accelerating hyperpolarized 13C MRSI on synthetic cancer datasets
Using a deep learning prior for accelerating hyperpolarized 13C MRSI on synthetic cancer datasets
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Using a deep learning prior for accelerating hyperpolarized 13C MRSI on synthetic cancer datasets

Wang, Zuojun ; Luo, Guanxiong ; Li, Ye ; Cao, Peng

Magnetic resonance in medicine, 2024-09, Vol.92 (3), p.945-955 [Periódico revisado por pares]

Hoboken: Wiley Subscription Services, Inc

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4
The “hidden noise” problem in MR image reconstruction
The “hidden noise” problem in MR image reconstruction
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The “hidden noise” problem in MR image reconstruction

Wang, Jiayang ; An, Di ; Haldar, Justin P.

Magnetic resonance in medicine, 2024-09, Vol.92 (3), p.982-996 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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5
Deep learning‐based rapid image reconstruction and motion correction for high‐resolution cartesian first‐pass myocardial perfusion imaging at 3T
Deep learning‐based rapid image reconstruction and motion correction for high‐resolution cartesian first‐pass myocardial perfusion imaging at 3T
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Deep learning‐based rapid image reconstruction and motion correction for high‐resolution cartesian first‐pass myocardial perfusion imaging at 3T

Wang, Junyu ; Salerno, Michael

Magnetic resonance in medicine, 2024-09, Vol.92 (3), p.1104-1114 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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6
Anisotropy of T2 and T1ρ relaxation time in articular cartilage at 3 T
Anisotropy of T2 and T1ρ relaxation time in articular cartilage at 3 T
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Anisotropy of T2 and T1ρ relaxation time in articular cartilage at 3 T

Kantola, Ville ; Karjalainen, Jouni ; Jaakola, Tomi ; Leskinen, Henri P. P. ; Nissi, Mikko J. ; Casula, Victor ; Nieminen, Miika T.

Magnetic resonance in medicine, 2024-09, Vol.92 (3), p.1177-1188 [Periódico revisado por pares]

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7
Accelerated free‐breathing liver fat and R2 quantification using multi‐echo stack‐of‐radial MRI with motion‐resolved multidimensional regularized reconstruction: Initial retrospective evaluation
Accelerated free‐breathing liver fat and R2 quantification using multi‐echo stack‐of‐radial MRI with motion‐resolved multidimensional regularized reconstruction: Initial retrospective evaluation
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Accelerated free‐breathing liver fat and R2 quantification using multi‐echo stack‐of‐radial MRI with motion‐resolved multidimensional regularized reconstruction: Initial retrospective evaluation

Zhong, Xiaodong ; Nickel, Marcel D. ; Kannengiesser, Stephan A. R. ; Dale, Brian M. ; Han, Fei ; Gao, Chang ; Shih, Shu‐Fu ; Dai, Qing ; Curiel, Omar ; Tsao, Tsu‐Chin ; Wu, Holden H. ; Deshpande, Vibhas

Magnetic resonance in medicine, 2024-09, Vol.92 (3), p.1149-1161 [Periódico revisado por pares]

Hoboken: Wiley Subscription Services, Inc

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8
Residual network improves the prediction accuracy of genomic selection
Residual network improves the prediction accuracy of genomic selection
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Residual network improves the prediction accuracy of genomic selection

Wu, Huaxuan ; Gao, Bingxi ; Zhang, Rong ; Huang, Zehang ; Yin, Zongjun ; Hu, Xiaoxiang ; Yang, Cai‐Xia ; Du, Zhi‐Qiang

Animal genetics, 2024-08, Vol.55 (4), p.599-611 [Periódico revisado por pares]

England: Wiley Subscription Services, Inc

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9
Nudging healthy food choices through e‐messages in a supermarket
Nudging healthy food choices through e‐messages in a supermarket
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Nudging healthy food choices through e‐messages in a supermarket

Balsa, Ana ; Noboa, Cecilia ; Triunfo, Patricia

Health economics, 2024-08, Vol.33 (8), p.1705-1725 [Periódico revisado por pares]

England: Wiley Periodicals Inc

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10
Endothelial dysfunction and cardiovascular diseases: The role of human induced pluripotent stem cells and tissue engineering
Endothelial dysfunction and cardiovascular diseases: The role of human induced pluripotent stem cells and tissue engineering
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Endothelial dysfunction and cardiovascular diseases: The role of human induced pluripotent stem cells and tissue engineering

Florido, Mary H. C. ; Ziats, Nicholas P.

Journal of biomedical materials research. Part A, 2024-08, Vol.112 (8), p.1286-1304 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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