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Refinado por: Base de dados/Biblioteca: AUC Wiley Frozen Package in 2012 remover assunto: Life Sciences & Biomedicine remover
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11
Deep learning–based MR‐to‐CT synthesis: The influence of varying gradient echo–based MR images as input channels
Deep learning–based MR‐to‐CT synthesis: The influence of varying gradient echo–based MR images as input channels
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Deep learning–based MR‐to‐CT synthesis: The influence of varying gradient echo–based MR images as input channels

Florkow, Mateusz C. ; Zijlstra, Frank ; Willemsen, Koen ; Maspero, Matteo ; Berg, Cornelis A. T. ; Kerkmeijer, Linda G. W. ; Castelein, René M. ; Weinans, Harrie ; Viergever, Max A. ; Stralen, Marijn ; Seevinck, Peter R.

Magnetic resonance in medicine, 2020-04, Vol.83 (4), p.1429-1441 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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12
Clinical applicability of automated cephalometric landmark identification: Part II – Number of images needed to re‐learn various quality of images
Clinical applicability of automated cephalometric landmark identification: Part II – Number of images needed to re‐learn various quality of images
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Clinical applicability of automated cephalometric landmark identification: Part II – Number of images needed to re‐learn various quality of images

Tanikawa, Chihiro ; Oka, Ayaka ; Lim, Jaeyoen ; Lee, Chonho ; Yamashiro, Takashi

Orthodontics & craniofacial research, 2021-12, Vol.24 (S2), p.53-58 [Periódico revisado por pares]

England: Wiley Subscription Services, Inc

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13
Cholesteatoma Localization Using Fused Diffusion‐Weighted Images and Thin‐Slice T2 Weighted Images
Cholesteatoma Localization Using Fused Diffusion‐Weighted Images and Thin‐Slice T2 Weighted Images
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Cholesteatoma Localization Using Fused Diffusion‐Weighted Images and Thin‐Slice T2 Weighted Images

Benson, John C. ; Carlson, Matthew L. ; Yin, Linda ; Lane, John I.

The Laryngoscope, 2021-05, Vol.131 (5), p.E1662-E1667 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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14
Editorial for “Improved Quantification of Myocardium Scar in Late Gadolinium Enhancement Images: Deep Learning Based Image Fusion Approach”
Editorial for “Improved Quantification of Myocardium Scar in Late Gadolinium Enhancement Images: Deep Learning Based Image Fusion Approach”
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Editorial for “Improved Quantification of Myocardium Scar in Late Gadolinium Enhancement Images: Deep Learning Based Image Fusion Approach”

Suwa, Kenichiro

Journal of magnetic resonance imaging, 2021-07, Vol.54 (1), p.313-314 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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15
Image‐ versus histogram‐based considerations in semantic segmentation of pulmonary hyperpolarized gas images
Image‐ versus histogram‐based considerations in semantic segmentation of pulmonary hyperpolarized gas images
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Image‐ versus histogram‐based considerations in semantic segmentation of pulmonary hyperpolarized gas images

Tustison, Nicholas J. ; Altes, Talissa A. ; Qing, Kun ; He, Mu ; Miller, G. Wilson ; Avants, Brian B. ; Shim, Yun M. ; Gee, James C. ; Mugler, John P. ; Mata, Jaime F.

Magnetic resonance in medicine, 2021-11, Vol.86 (5), p.2822-2836 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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16
Automatic Recognition of Laryngoscopic Images Using a Deep‐Learning Technique
Automatic Recognition of Laryngoscopic Images Using a Deep‐Learning Technique
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Automatic Recognition of Laryngoscopic Images Using a Deep‐Learning Technique

Ren, Jianjun ; Jing, Xueping ; Wang, Jing ; Ren, Xue ; Xu, Yang ; Yang, Qiuyun ; Ma, Lanzhi ; Sun, Yi ; Xu, Wei ; Yang, Ning ; Zou, Jian ; Zheng, Yongbo ; Chen, Min ; Gan, Weigang ; Xiang, Ting ; An, Junnan ; Liu, Ruiqing ; Lv, Cao ; Lin, Ken ; Zheng, Xianfeng ; Lou, Fan ; Rao, Yufang ; Yang, Hui ; Liu, Kai ; Liu, Geoffrey ; Lu, Tao ; Zheng, Xiujuan ; Zhao, Yu

The Laryngoscope, 2020-11, Vol.130 (11), p.E686-E693 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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17
Computed Diffusion‐Weighted Images of Rectal Cancer: Image Quality, Restaging, and Treatment Response after Neoadjuvant Therapy
Computed Diffusion‐Weighted Images of Rectal Cancer: Image Quality, Restaging, and Treatment Response after Neoadjuvant Therapy
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Computed Diffusion‐Weighted Images of Rectal Cancer: Image Quality, Restaging, and Treatment Response after Neoadjuvant Therapy

Xia, Yihan ; Zhu, Lan ; Cai, Gang ; Du, Lianjun ; Wang, Lingyun ; Feng, Weiming ; Fu, Caixia ; Ma, Qianchen ; Dong, Yihan ; Pan, Zilai ; Yan, Fuhua ; Shen, Hailin ; Li, Weiguang ; Zhang, Huan

Journal of magnetic resonance imaging, 2024-01, Vol.59 (1), p.297-308 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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18
Using deep‐learning algorithms to classify fetal brain ultrasound images as normal or abnormal
Using deep‐learning algorithms to classify fetal brain ultrasound images as normal or abnormal
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Using deep‐learning algorithms to classify fetal brain ultrasound images as normal or abnormal

Xie, H. N. ; Wang, N. ; He, M. ; Zhang, L. H. ; Cai, H. M. ; Xian, J. B. ; Lin, M. F. ; Zheng, J. ; Yang, Y. Z.

Ultrasound in obstetrics & gynecology, 2020-10, Vol.56 (4), p.579-587 [Periódico revisado por pares]

Chichester, UK: John Wiley & Sons, Ltd

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19
Percutaneous Image-Guided Cryoablation of Painful Metastases Involving Bone: Multicenter Trial
Percutaneous Image-Guided Cryoablation of Painful Metastases Involving Bone: Multicenter Trial
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Percutaneous Image-Guided Cryoablation of Painful Metastases Involving Bone: Multicenter Trial

CALLSTROM, Matthew R ; DUPUY, Damian E ; SCHMIT, Grant D ; GOETZ, Matthew P ; RUBIN, Joseph ; BROWN, Kathy J ; NOVOTNY, Paul J ; SLOAN, Jeff A ; SOLOMON, Stephen B ; BERES, Robert A ; LITTRUP, Peter J ; DAVIS, Kirkland W ; PAZ-FUMAGALLI, Ricardo ; HOFFMAN, Cheryl ; ATWELL, Thomas D ; CHARBONEAU, J. William

Cancer, 2013-03, Vol.119 (5), p.1033-1041 [Periódico revisado por pares]

Hoboken, NJ: Wiley-Blackwell

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20
AdaRes: A deep learning‐based model for ultrasound image denoising: Results of image quality metrics, radiomics, artificial intelligence, and clinical studies
AdaRes: A deep learning‐based model for ultrasound image denoising: Results of image quality metrics, radiomics, artificial intelligence, and clinical studies
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AdaRes: A deep learning‐based model for ultrasound image denoising: Results of image quality metrics, radiomics, artificial intelligence, and clinical studies

Abbasian Ardakani, Ali ; Mohammadi, Afshin ; Vogl, Thomas J. ; Kuzan, Taha Yusuf ; Acharya, U Rajendra

Journal of clinical ultrasound, 2024-02, Vol.52 (2), p.131-143 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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