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1.
Histopathological findings affect quantitative values of single photon emission computed tomography in patients with antiresorptive agent-related osteonecrosis of the jaws.
Fujita Med J
; 9(3): 186-193, 2023 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-37554942
2.
Volume-based 18 F-FDG PET analysis of cardiac sarcoidosis using the descending aorta as a reference tissue.
Nucl Med Commun
; 44(5): 390-396, 2023 May 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-36862425
3.
Synthetic CT image generation of shape-controlled lung cancer using semi-conditional InfoGAN and its applicability for type classification.
Int J Comput Assist Radiol Surg
; 16(2): 241-251, 2021 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-33428062
4.
Two-versus three-dimensional regions of interest for quantifying SPECT-CT images.
Phys Eng Sci Med
; 44(2): 365-375, 2021 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-33620700
5.
Automated classification of increased uptake regions in bone single-photon emission computed tomography/computed tomography images using three-dimensional deep convolutional neural network.
Nucl Med Commun
; 42(8): 877-883, 2021 Aug 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-33741850
6.
Effect of morphological findings in computed tomography on the quantitative values in single-photon emission computed tomography for patients with antiresorptive agent-related osteonecrosis of the jaw: a cross-sectional study.
Ann Nucl Med
; 35(7): 853-860, 2021 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-33997910
7.
Quantitative evaluation of anti-resorptive agent-related osteonecrosis of the jaw using bone single photon emission computed tomography in clinical settings: relationship between clinical stage and imaging.
Ann Nucl Med
; 34(9): 620-628, 2020 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-32557015
8.
Investigation of pulmonary nodule classification using multi-scale residual network enhanced with 3DGAN-synthesized volumes.
Radiol Phys Technol
; 13(2): 160-169, 2020 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-32358643
9.
Multiplanar analysis for pulmonary nodule classification in CT images using deep convolutional neural network and generative adversarial networks.
Int J Comput Assist Radiol Surg
; 15(1): 173-178, 2020 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-31732864
10.
Prediction of pulmonary function after major lung resection using lung perfusion scintigraphy with single-photon emission computed tomography/computed tomography.
Fujita Med J
; 6(2): 37-48, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-35111520
11.
Nonuniform sampling pitch acquisition method in myocardial single-photon emission computed tomography.
Nucl Med Commun
; 40(8): 792-801, 2019 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-31107829
12.
Automated Pulmonary Nodule Classification in Computed Tomography Images Using a Deep Convolutional Neural Network Trained by Generative Adversarial Networks.
Biomed Res Int
; 2019: 6051939, 2019.
Artículo
en Inglés
| MEDLINE | ID: mdl-30719445
13.
Automated Classification of Pulmonary Nodules through a Retrospective Analysis of Conventional CT and Two-phase PET Images in Patients Undergoing Biopsy.
Asia Ocean J Nucl Med Biol
; 7(1): 29-37, 2019.
Artículo
en Inglés
| MEDLINE | ID: mdl-30705909
14.
Automated segmentation and detection of increased uptake regions in bone scintigraphy using SPECT/CT images.
Ann Nucl Med
; 32(3): 182-190, 2018 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-29380137
15.
Fluctuation of quantitative values on acquisition time and the reconstruction conditions in 99mTc-SPECT.
Nucl Med Commun
; 39(7): 601-609, 2018 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-29893748
16.
Correction to: Quantitative evaluation of anti-resorptive agent-related osteonecrosis of the jaw using bone single photon emission computed tomography in clinical settings: relationship between clinical stage and imaging.
Ann Nucl Med
; 36(7): 693, 2022 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-35583700
17.
[Investigation of pulmonary nodule classification using multi-scale residual network enhanced with 3DGAN-synthesized volumes].
Igaku Butsuri
; 41(3): 155, 2021.
Artículo
en Japonés
| MEDLINE | ID: mdl-34744128
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