skip to main content
Idioma:
Resultados 1 2 3 4 5 next page
Mostrar Somente
Refinado por: assunto: Male remover Journal Of Magnetic Resonance Imaging remover assunto: Science & Technology remover
Result Number Material Type Add to My Shelf Action Record Details and Options
1
Self‐gated fetal cardiac MRI with tiny golden angle iGRASP: A feasibility study
Self‐gated fetal cardiac MRI with tiny golden angle iGRASP: A feasibility study
Material Type:
Artigo 		Adicionar ao Meu Espaço

Self‐gated fetal cardiac MRI with tiny golden angle iGRASP: A feasibility study

Haris, Kostas ; Hedström, Erik ; Bidhult, Sebastian ; Testud, Frederik ; Maglaveras, Nicos ; Heiberg, Einar ; Hansson, Stefan R. ; Arheden, Håkan ; Aletras, Anthony H.

Journal of magnetic resonance imaging, 2017-07, Vol.46 (1), p.207-217 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

Texto completo disponível

Citações Citado por
2
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
Material Type:
Artigo 		Adicionar ao Meu Espaço

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

Texto completo disponível

Citações Citado por
3
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
Material Type:
Artigo 		Adicionar ao Meu Espaço

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

Texto completo disponível

Citações Citado por
4
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
Material Type:
Artigo 		Adicionar ao Meu Espaço

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

Texto completo disponível

Citações Citado por
5
Clinical performance of high‐resolution late gadolinium enhancement imaging with compressed sensing
Clinical performance of high‐resolution late gadolinium enhancement imaging with compressed sensing
Material Type:
Artigo 		Adicionar ao Meu Espaço

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

Texto completo disponível

Citações Citado por
6
Evaluating the Impact of Intracranial Volume Correction Approaches on the Quantification of Intracranial Structures in MRI: A Systematic Analysis
Evaluating the Impact of Intracranial Volume Correction Approaches on the Quantification of Intracranial Structures in MRI: A Systematic Analysis
Material Type:
Artigo 		Adicionar ao Meu Espaço

Evaluating the Impact of Intracranial Volume Correction Approaches on the Quantification of Intracranial Structures in MRI: A Systematic Analysis

Hu, Minqi ; Lou, Yunxia ; Zhu, Caiting ; Chen, Jiachen ; Liu, Shizhou ; Liang, Yongfeng ; Liu, Shuwei ; Tang, Yuchun

Journal of magnetic resonance imaging, 2024-06, Vol.59 (6), p.2164-2177 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

Texto completo disponível

Citações Citado por
7
Topologically preserving straightening of spinal cord MRI
Topologically preserving straightening of spinal cord MRI
Material Type:
Artigo 		Adicionar ao Meu Espaço

Topologically preserving straightening of spinal cord MRI

Leener, Benjamin ; Mangeat, Gabriel ; Dupont, Sara ; Martin, Allan R. ; Callot, Virginie ; Stikov, Nikola ; Fehlings, Michael G. ; Cohen‐Adad, Julien

Journal of magnetic resonance imaging, 2017-10, Vol.46 (4), p.1209-1219 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

Texto completo disponível

Citações Citado por
8
Deep Learning Reconstruction Enables Highly Accelerated Biparametric MR Imaging of the Prostate
Deep Learning Reconstruction Enables Highly Accelerated Biparametric MR Imaging of the Prostate
Material Type:
Artigo 		Adicionar ao Meu Espaço

Deep Learning Reconstruction Enables Highly Accelerated Biparametric MR Imaging of the Prostate

Johnson, Patricia M. ; Tong, Angela ; Donthireddy, Awani ; Melamud, Kira ; Petrocelli, Robert ; Smereka, Paul ; Qian, Kun ; Keerthivasan, Mahesh B. ; Chandarana, Hersh ; Knoll, Florian

Journal of magnetic resonance imaging, 2022-07, Vol.56 (1), p.184-195 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

Texto completo disponível

Citações Citado por
9
Patient‐specific requirements and clinical validation of MRI‐based pressure mapping: A two‐center study in patients with aortic coarctation
Patient‐specific requirements and clinical validation of MRI‐based pressure mapping: A two‐center study in patients with aortic coarctation
Material Type:
Artigo 		Adicionar ao Meu Espaço

Patient‐specific requirements and clinical validation of MRI‐based pressure mapping: A two‐center study in patients with aortic coarctation

Goubergrits, Leonid ; Hellmeier, Florian ; Neumann, Dominik ; Mihalef, Viorel ; Gulsun, Mehmet A. ; Chinali, Marcello ; Secinaro, Aurelio ; Runte, Kilian ; Schubert, Stephan ; Berger, Felix ; Kuehne, Titus ; Hennemuth, Anja ; Kelm, Marcus

Journal of magnetic resonance imaging, 2019-01, Vol.49 (1), p.81-89 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

Texto completo disponível

Citações Citado por
10
MR neurographic orthopantomogram: Ultrashort echo-time imaging of mandibular bone and teeth complemented with high-resolution morphological and functional MR neurography
MR neurographic orthopantomogram: Ultrashort echo-time imaging of mandibular bone and teeth complemented with high-resolution morphological and functional MR neurography
Material Type:
Artigo 		Adicionar ao Meu Espaço

MR neurographic orthopantomogram: Ultrashort echo-time imaging of mandibular bone and teeth complemented with high-resolution morphological and functional MR neurography

Manoliu, Andrei ; Ho, Michael ; Nanz, Daniel ; Dappa, Evelyn ; Boss, Andreas ; Grodzki, David M. ; Liu, Wei ; Chhabra, Avneesh ; Andreisek, Gustav ; Kuhn, Felix P.

Journal of magnetic resonance imaging, 2016-08, Vol.44 (2), p.393-400 [Periódico revisado por pares]

United States: Blackwell Publishing Ltd

Texto completo disponível

Citações Citado por
Resultados 1 2 3 4 5 next page

Personalize Seus Resultados

  1. Editar

Refine Search Results

Expandir Meus Resultados

  1.   

Mostrar Somente

  1. Recursos Online (1.018)

Data de Publicação 

De até
Refinar
  1. Antes de1997  (51)
  2. 1997Até2002  (133)
  3. 2003Até2008  (277)
  4. 2009Até2015  (370)
  5. Após 2015  (226)
  6. Mais opções open sub menu

Idioma 

  1. Japonês  (271)
  2. Norueguês  (1)
  3. Mais opções open sub menu

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.