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Refinado por: Nome da Publicação: Journal Of Magnetic Resonance Imaging remover assunto: Science & Technology remover
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Differentiation between glioblastoma, brain metastasis and subtypes using radiomics analysis
Differentiation between glioblastoma, brain metastasis and subtypes using radiomics analysis
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Differentiation between glioblastoma, brain metastasis and subtypes using radiomics analysis

Artzi, Moran ; Bressler, Idan ; Ben Bashat, Dafna

Journal of magnetic resonance imaging, 2019-08, Vol.50 (2), p.519-528 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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12
Test–retest repeatability and reproducibility of ADC measures by breast DWI: Results from the ACRIN 6698 trial
Test–retest repeatability and reproducibility of ADC measures by breast DWI: Results from the ACRIN 6698 trial
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Test–retest repeatability and reproducibility of ADC measures by breast DWI: Results from the ACRIN 6698 trial

Newitt, David C. ; Zhang, Zheng ; Gibbs, Jessica E. ; Partridge, Savannah C. ; Chenevert, Thomas L. ; Rosen, Mark A. ; Bolan, Patrick J. ; Marques, Helga S. ; Aliu, Sheye ; Li, Wen ; Cimino, Lisa ; Joe, Bonnie N. ; Umphrey, Heidi ; Ojeda‐Fournier, Haydee ; Dogan, Basak ; Oh, Karen ; Abe, Hiroyuki ; Drukteinis, Jennifer ; Esserman, Laura J. ; Hylton, Nola M.

Journal of magnetic resonance imaging, 2019-06, Vol.49 (6), p.1617-1628 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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13
Deep‐Learning‐Based Preprocessing for Quantitative Myocardial Perfusion MRI
Deep‐Learning‐Based Preprocessing for Quantitative Myocardial Perfusion MRI
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Deep‐Learning‐Based Preprocessing for Quantitative Myocardial Perfusion MRI

Scannell, Cian M. ; Veta, Mitko ; Villa, Adriana D.M. ; Sammut, Eva C. ; Lee, Jack ; Breeuwer, Marcel ; Chiribiri, Amedeo

Journal of magnetic resonance imaging, 2020-06, Vol.51 (6), p.1689-1696 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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14
Cardiac MRI at Low Field Strengths
Cardiac MRI at Low Field Strengths
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Cardiac MRI at Low Field Strengths

Campbell‐Washburn, Adrienne E. ; Varghese, Juliet ; Nayak, Krishna S. ; Ramasawmy, Rajiv ; Simonetti, Orlando P.

Journal of magnetic resonance imaging, 2024-02, Vol.59 (2), p.412-430 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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15
Radiomics analysis of apparent diffusion coefficient in cervical cancer: A preliminary study on histological grade evaluation
Radiomics analysis of apparent diffusion coefficient in cervical cancer: A preliminary study on histological grade evaluation
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Radiomics analysis of apparent diffusion coefficient in cervical cancer: A preliminary study on histological grade evaluation

Liu, Ying ; Zhang, Yuwei ; Cheng, Runfen ; Liu, Shichang ; Qu, Fangyuan ; Yin, Xiaoyu ; Wang, Qin ; Xiao, Bohan ; Ye, Zhaoxiang

Journal of magnetic resonance imaging, 2019-01, Vol.49 (1), p.280-290 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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16
Compressed sensing for body MRI
Compressed sensing for body MRI
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Compressed sensing for body MRI

Feng, Li ; Benkert, Thomas ; Block, Kai Tobias ; Sodickson, Daniel K. ; Otazo, Ricardo ; Chandarana, Hersh

Journal of magnetic resonance imaging, 2017-04, Vol.45 (4), p.966-987 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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17
Fast T2‐Weighted Imaging With Deep Learning‐Based Reconstruction: Evaluation of Image Quality and Diagnostic Performance in Patients Undergoing Radical Prostatectomy
Fast T2‐Weighted Imaging With Deep Learning‐Based Reconstruction: Evaluation of Image Quality and Diagnostic Performance in Patients Undergoing Radical Prostatectomy
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Fast T2‐Weighted Imaging With Deep Learning‐Based Reconstruction: Evaluation of Image Quality and Diagnostic Performance in Patients Undergoing Radical Prostatectomy

Park, Jae Chun ; Park, Kye Jin ; Park, Mi Yeon ; Kim, Mi‐hyun ; Kim, Jeong Kon

Journal of magnetic resonance imaging, 2022-06, Vol.55 (6), p.1735-1744 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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18
A Lightweight Convolutional Neural Network Based on Dynamic Level‐Set Loss Function for Spine MR Image Segmentation
A Lightweight Convolutional Neural Network Based on Dynamic Level‐Set Loss Function for Spine MR Image Segmentation
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A Lightweight Convolutional Neural Network Based on Dynamic Level‐Set Loss Function for Spine MR Image Segmentation

He, Siyuan ; Li, Qi ; Li, Xianda ; Zhang, Mengchao

Journal of magnetic resonance imaging, 2024-04, Vol.59 (4), p.1438-1453 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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19
Deep learning enables automatic detection and segmentation of brain metastases on multisequence MRI
Deep learning enables automatic detection and segmentation of brain metastases on multisequence MRI
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Deep learning enables automatic detection and segmentation of brain metastases on multisequence MRI

Grøvik, Endre ; Yi, Darvin ; Iv, Michael ; Tong, Elizabeth ; Rubin, Daniel ; Zaharchuk, Greg

Journal of magnetic resonance imaging, 2020-01, Vol.51 (1), p.175-182 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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20
Clinical performance of high‐resolution late gadolinium enhancement imaging with compressed sensing
Clinical performance of high‐resolution late gadolinium enhancement imaging with compressed sensing
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Clinical performance of high‐resolution late gadolinium enhancement imaging with compressed sensing

Basha, Tamer A. ; Akçakaya, Mehmet ; Liew, Charlene ; Tsao, Connie W. ; Delling, Francesca N. ; Addae, Gifty ; Ngo, Long ; Manning, Warren J. ; Nezafat, Reza

Journal of magnetic resonance imaging, 2017-12, Vol.46 (6), p.1829-1838 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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