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1.
Multicentre external validation of a commercial artificial intelligence software to analyse chest radiographs in health screening environments with low disease prevalence.
Eur Radiol
; 33(5): 3501-3509, 2023 May.
Artículo
en Inglés
| MEDLINE | ID: mdl-36624227
2.
Impact of image denoising on image quality, quantitative parameters and sensitivity of ultra-low-dose volume perfusion CT imaging.
Eur Radiol
; 26(1): 167-74, 2016 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-26024848
3.
Effects of radiation dose reduction in Volume Perfusion CT imaging of acute ischemic stroke.
Eur Radiol
; 25(12): 3415-22, 2015 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-25903716
4.
Is a Camera-Type Portable X-Ray Device Clinically Feasible in Chest Imaging?: Image Quality Comparison with Chest Radiographs Taken with Traditional Mobile Digital X-Ray Devices.
J Korean Soc Radiol
; 85(1): 138-146, 2024 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-38362404
5.
Clinical validation of a deep-learning-based bone age software in healthy Korean children.
Ann Pediatr Endocrinol Metab
; 29(2): 102-108, 2024 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-38271993
6.
Evaluation of deep learning-based quantitative computed tomography for opportunistic osteoporosis screening.
Sci Rep
; 14(1): 363, 2024 01 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-38182616
7.
Assessing lung fluid status using noninvasive bioelectrical impedance analysis in patients with acute heart failure: A pilot study.
Int J Cardiol
; 409: 132205, 2024 Aug 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-38795974
8.
Erratum to: Effects of radiation dose reduction in volume perfusion CT imaging of acute ischaemic stroke.
Eur Radiol
; 28(2): 650, 2018 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-28963673
9.
Deep learning-based pectoralis muscle volume segmentation method from chest computed tomography image using sagittal range detection and axial slice-based segmentation.
PLoS One
; 18(9): e0290950, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37669295
10.
Accuracy of two deep learning-based reconstruction methods compared with an adaptive statistical iterative reconstruction method for solid and ground-glass nodule volumetry on low-dose and ultra-low-dose chest computed tomography: A phantom study.
PLoS One
; 17(6): e0270122, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35737734
11.
The spectrum of magnetic resonance imaging proton density fat fraction (MRI-PDFF), magnetic resonance spectroscopy (MRS), and two different histopathologic methods (artificial intelligence vs. pathologist) in quantifying hepatic steatosis.
Quant Imaging Med Surg
; 12(11): 5251-5262, 2022 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-36330193
12.
Usefulness of Pulmonary Rehabilitation in Non-Small Cell Lung Cancer Patients Based on Pulmonary Function Tests and Muscle Analysis Using Computed Tomography Images.
Cancer Res Treat
; 54(3): 793-802, 2022 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-34696566
13.
External validation of deep learning-based bone-age software: a preliminary study with real world data.
Sci Rep
; 12(1): 1232, 2022 01 24.
Artículo
en Inglés
| MEDLINE | ID: mdl-35075207
14.
Multifragmentary patellar fracture has a distinct fracture pattern which makes coronal split, inferior pole, or satellite fragments.
Sci Rep
; 11(1): 22836, 2021 11 24.
Artículo
en Inglés
| MEDLINE | ID: mdl-34819572
15.
Multilevel analysis of spatiotemporal association features for differentiation of tumor enhancement patterns in breast DCE-MRI.
Med Phys
; 37(8): 3940-56, 2010 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-20879557
16.
Attenuation profile matching: An accurate and scan parameter-robust measurement method for small airway dimensions in low-dose CT scans.
Med Phys
; 2018 Jul 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-29969838
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