Detalhe da pesquisa
1.
Deep Learning Subtraction Angiography: Improved Generalizability with Transfer Learning.
J Vasc Interv Radiol
; 34(3): 409-419.e2, 2023 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-36529442
2.
A deep learning approach for fully automated cardiac shape modeling in tetralogy of Fallot.
J Cardiovasc Magn Reson
; 25(1): 15, 2023 02 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-36849960
3.
4D Flow cardiovascular magnetic resonance consensus statement: 2023 update.
J Cardiovasc Magn Reson
; 25(1): 40, 2023 07 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-37474977
4.
Deep Learning for Inference of Hepatic Proton Density Fat Fraction From T1-Weighted In-Phase and Opposed-Phase MRI: Retrospective Analysis of Population-Based Trial Data.
AJR Am J Roentgenol
; 221(5): 620-631, 2023 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-37466189
5.
Multidisciplinary Approach to Chronic Thromboembolic Pulmonary Hypertension: Role of Radiologists.
Radiographics
; 43(2): e220078, 2023 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-36525366
6.
Deep Learning Automated Background Phase Error Correction for Abdominopelvic 4D Flow MRI.
Radiology
; 302(3): 584-592, 2022 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-34846200
7.
Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports.
J Digit Imaging
; 35(3): 524-533, 2022 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-35149938
8.
Artificial intelligence and machine learning in aortic disease.
Curr Opin Cardiol
; 36(6): 695-703, 2021 11 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-34369401
9.
Quantification of hemodynamics of cerebral arteriovenous malformations after stereotactic radiosurgery using 4D flow magnetic resonance imaging.
J Magn Reson Imaging
; 53(6): 1841-1850, 2021 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-33354852
10.
Quantification of the Hemodynamic Changes of Cirrhosis with Free-Breathing Self-Navigated MRI.
J Magn Reson Imaging
; 53(5): 1410-1421, 2021 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-33594733
11.
Hemodynamic Assessment of Structural Heart Disease Using 4D Flow MRI: How We Do It.
AJR Am J Roentgenol
; 217(6): 1322-1332, 2021 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-34076463
12.
Deep Learning Single-Frame and Multiframe Super-Resolution for Cardiac MRI.
Radiology
; 295(3): 552-561, 2020 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-32286192
13.
Automated selection of myocardial inversion time with a convolutional neural network: Spatial temporal ensemble myocardium inversion network (STEMI-NET).
Magn Reson Med
; 81(5): 3283-3291, 2019 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-30714197
14.
Cardiac MRI Field Strength: Counterpoint-Image Quality Gains From Higher SNR Are Achievable at 3 T.
AJR Am J Roentgenol
; 222(3): e2330071, 2024 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-37729555
15.
Evaluation of atrial septal defects with 4D flow MRI-multilevel and inter-reader reproducibility for quantification of shunt severity.
MAGMA
; 32(2): 269-279, 2019 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-30171383
16.
Image Annotation by Eye Tracking: Accuracy and Precision of Centerlines of Obstructed Small-Bowel Segments Placed Using Eye Trackers.
J Digit Imaging
; 32(5): 855-864, 2019 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-31144146
17.
Volumetric segmentation-free method for rapid visualization of vascular wall shear stress using 4D flow MRI.
Magn Reson Med
; 80(2): 748-755, 2018 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-29516632
18.
4D flow MRI quantification of mitral and tricuspid regurgitation: Reproducibility and consistency relative to conventional MRI.
J Magn Reson Imaging
; 48(4): 1147-1158, 2018 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-29638024
19.
Pelvic Blood Flow Predicts Fibroid Volume and Embolic Required for Uterine Fibroid Embolization: A Pilot Study With 4D Flow MR Angiography.
AJR Am J Roentgenol
; 210(1): 189-200, 2018 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-29090998
20.
Beyond the AJR: Potential of Deep Learning Image Classification for Chest Radiography.
AJR Am J Roentgenol
; 218(4): 762, 2022 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-35603514