261 related articles for article (PubMed ID: 34318444)
1. A novel strategy to develop deep learning for image super-resolution using original ultra-high-resolution computed tomography images of lung as training dataset.
Kitahara H; Nagatani Y; Otani H; Nakayama R; Kida Y; Sonoda A; Watanabe Y
Jpn J Radiol; 2022 Jan; 40(1):38-47. PubMed ID: 34318444
[TBL] [Abstract][Full Text] [Related]
2. Subjective and objective comparisons of image quality between ultra-high-resolution CT and conventional area detector CT in phantoms and cadaveric human lungs.
Yanagawa M; Hata A; Honda O; Kikuchi N; Miyata T; Uranishi A; Tsukagoshi S; Tomiyama N
Eur Radiol; 2018 Dec; 28(12):5060-5068. PubMed ID: 29845337
[TBL] [Abstract][Full Text] [Related]
3. Influence of field of view size on image quality: ultra-high-resolution CT vs. conventional high-resolution CT.
Miyata T; Yanagawa M; Hata A; Honda O; Yoshida Y; Kikuchi N; Tsubamoto M; Tsukagoshi S; Uranishi A; Tomiyama N
Eur Radiol; 2020 Jun; 30(6):3324-3333. PubMed ID: 32072253
[TBL] [Abstract][Full Text] [Related]
4. Effect of Matrix Size on the Image Quality of Ultra-high-resolution CT of the Lung: Comparison of 512 × 512, 1024 × 1024, and 2048 × 2048.
Hata A; Yanagawa M; Honda O; Kikuchi N; Miyata T; Tsukagoshi S; Uranishi A; Tomiyama N
Acad Radiol; 2018 Jul; 25(7):869-876. PubMed ID: 29373211
[TBL] [Abstract][Full Text] [Related]
5. Deep learning in computed tomography super resolution using multi-modality data training.
Fok WYR; Fieselmann A; Herbst M; Ritschl L; Kappler S; Saalfeld S
Med Phys; 2024 Apr; 51(4):2846-2860. PubMed ID: 37972365
[TBL] [Abstract][Full Text] [Related]
6. Deep learning-based reconstruction in ultra-high-resolution computed tomography: Can image noise caused by high definition detector and the miniaturization of matrix element size be improved?
Urikura A; Yoshida T; Nakaya Y; Nishimaru E; Hara T; Endo M
Phys Med; 2021 Jan; 81():121-129. PubMed ID: 33453504
[TBL] [Abstract][Full Text] [Related]
7. Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT.
Akagi M; Nakamura Y; Higaki T; Narita K; Honda Y; Zhou J; Yu Z; Akino N; Awai K
Eur Radiol; 2019 Nov; 29(11):6163-6171. PubMed ID: 30976831
[TBL] [Abstract][Full Text] [Related]
8. Ultra-High-Resolution Computed Tomography of the Lung: Image Quality of a Prototype Scanner.
Kakinuma R; Moriyama N; Muramatsu Y; Gomi S; Suzuki M; Nagasawa H; Kusumoto M; Aso T; Muramatsu Y; Tsuchida T; Tsuta K; Maeshima AM; Tochigi N; Watanabe S; Sugihara N; Tsukagoshi S; Saito Y; Kazama M; Ashizawa K; Awai K; Honda O; Ishikawa H; Koizumi N; Komoto D; Moriya H; Oda S; Oshiro Y; Yanagawa M; Tomiyama N; Asamura H
PLoS One; 2015; 10(9):e0137165. PubMed ID: 26352144
[TBL] [Abstract][Full Text] [Related]
9. Deep learning-based harmonization of trabecular bone microstructures between high- and low-resolution CT imaging.
Guha I; Nadeem SA; Zhang X; DiCamillo PA; Levy SM; Wang G; Saha PK
Med Phys; 2024 Jun; 51(6):4258-4270. PubMed ID: 38415781
[TBL] [Abstract][Full Text] [Related]
10. Assessment of gastric wall structure using ultra-high-resolution computed tomography.
Onoda H; Tanabe M; Higashi M; Kawano Y; Ihara K; Miyoshi K; Ito K
Eur J Radiol; 2022 Jan; 146():110067. PubMed ID: 34847396
[TBL] [Abstract][Full Text] [Related]
11. Small training dataset convolutional neural networks for application-specific super-resolution microscopy.
Mannam V; Howard S
J Biomed Opt; 2023 Mar; 28(3):036501. PubMed ID: 36925620
[TBL] [Abstract][Full Text] [Related]
12. Measurement of coronary artery calcium volume using ultra-high-resolution computed tomography: A preliminary phantom and cadaver study.
Fukumoto W; Nagaoka M; Higaki T; Tatsugami F; Nakamura Y; Oostveen L; Klein W; Prokop M; Awai K
Eur J Radiol Open; 2020; 7():100253. PubMed ID: 32964073
[TBL] [Abstract][Full Text] [Related]
13. Deep learning enabled ultra-fast-pitch acquisition in clinical X-ray computed tomography.
Gong H; Ren L; Hsieh SS; McCollough CH; Yu L
Med Phys; 2021 Oct; 48(10):5712-5726. PubMed ID: 34415068
[TBL] [Abstract][Full Text] [Related]
14. Deep learning-based image restoration algorithm for coronary CT angiography.
Tatsugami F; Higaki T; Nakamura Y; Yu Z; Zhou J; Lu Y; Fujioka C; Kitagawa T; Kihara Y; Iida M; Awai K
Eur Radiol; 2019 Oct; 29(10):5322-5329. PubMed ID: 30963270
[TBL] [Abstract][Full Text] [Related]
15. Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT.
Nakamura Y; Narita K; Higaki T; Akagi M; Honda Y; Awai K
Eur Radiol; 2021 Jul; 31(7):4700-4709. PubMed ID: 33389036
[TBL] [Abstract][Full Text] [Related]
16. Lung Segmentation on HRCT and Volumetric CT for Diffuse Interstitial Lung Disease Using Deep Convolutional Neural Networks.
Park B; Park H; Lee SM; Seo JB; Kim N
J Digit Imaging; 2019 Dec; 32(6):1019-1026. PubMed ID: 31396776
[TBL] [Abstract][Full Text] [Related]
17. MRI super-resolution reconstruction for MRI-guided adaptive radiotherapy using cascaded deep learning: In the presence of limited training data and unknown translation model.
Chun J; Zhang H; Gach HM; Olberg S; Mazur T; Green O; Kim T; Kim H; Kim JS; Mutic S; Park JC
Med Phys; 2019 Sep; 46(9):4148-4164. PubMed ID: 31309585
[TBL] [Abstract][Full Text] [Related]
18. Deep Learning Algorithm for Simultaneous Noise Reduction and Edge Sharpening in Low-Dose CT Images: A Pilot Study Using Lumbar Spine CT.
Yeoh H; Hong SH; Ahn C; Choi JY; Chae HD; Yoo HJ; Kim JH
Korean J Radiol; 2021 Nov; 22(11):1850-1857. PubMed ID: 34431248
[TBL] [Abstract][Full Text] [Related]
19. A conventional-to-spectral CT image translation augmentation workflow for robust contrast injection-independent organ segmentation.
Lartaud PJ; Dupont C; Hallé D; Schleef A; Dessouky R; Vlachomitrou AS; Rouet JM; Nempont O; Boussel L
Med Phys; 2022 Feb; 49(2):1108-1122. PubMed ID: 34689353
[TBL] [Abstract][Full Text] [Related]
20. Deep learning reconstruction of drip-infusion cholangiography acquired with ultra-high-resolution computed tomography.
Narita K; Nakamura Y; Higaki T; Akagi M; Honda Y; Awai K
Abdom Radiol (NY); 2020 Sep; 45(9):2698-2704. PubMed ID: 32248261
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
