138 related articles for article (PubMed ID: 38017029)
1. Segmentation of lung lobes and lesions in chest CT for the classification of COVID-19 severity.
Khomduean P; Phuaudomcharoen P; Boonchu T; Taetragool U; Chamchoy K; Wimolsiri N; Jarrusrojwuttikul T; Chuajak A; Techavipoo U; Tweeatsani N
Sci Rep; 2023 Nov; 13(1):20899. PubMed ID: 38017029
[TBL] [Abstract][Full Text] [Related]
2. Abnormal lung quantification in chest CT images of COVID-19 patients with deep learning and its application to severity prediction.
Shan F; Gao Y; Wang J; Shi W; Shi N; Han M; Xue Z; Shen D; Shi Y
Med Phys; 2021 Apr; 48(4):1633-1645. PubMed ID: 33225476
[TBL] [Abstract][Full Text] [Related]
3. A deep learning-based application for COVID-19 diagnosis on CT: The Imaging COVID-19 AI initiative.
Topff L; Sánchez-García J; López-González R; Pastor AJ; Visser JJ; Huisman M; Guiot J; Beets-Tan RGH; Alberich-Bayarri A; Fuster-Matanzo A; Ranschaert ER;
PLoS One; 2023; 18(5):e0285121. PubMed ID: 37130128
[TBL] [Abstract][Full Text] [Related]
4. Automated deep learning-based segmentation of COVID-19 lesions from chest computed tomography images.
Salehi M; Ardekani MA; Taramsari AB; Ghaffari H; Haghparast M
Pol J Radiol; 2022; 87():e478-e486. PubMed ID: 36091652
[TBL] [Abstract][Full Text] [Related]
5. Two-stage hybrid network for segmentation of COVID-19 pneumonia lesions in CT images: a multicenter study.
Shang Y; Wei Z; Hui H; Li X; Li L; Yu Y; Lu L; Li L; Li H; Yang Q; Wang M; Zhan M; Wang W; Zhang G; Wu X; Wang L; Liu J; Tian J; Zha Y
Med Biol Eng Comput; 2022 Sep; 60(9):2721-2736. PubMed ID: 35856130
[TBL] [Abstract][Full Text] [Related]
6. Automated Detection and Quantification of COVID-19 Airspace Disease on Chest Radiographs: A Novel Approach Achieving Expert Radiologist-Level Performance Using a Deep Convolutional Neural Network Trained on Digital Reconstructed Radiographs From Computed Tomography-Derived Ground Truth.
Mortani Barbosa EJ; Gefter WB; Ghesu FC; Liu S; Mailhe B; Mansoor A; Grbic S; Vogt S
Invest Radiol; 2021 Aug; 56(8):471-479. PubMed ID: 33481459
[TBL] [Abstract][Full Text] [Related]
7. From community-acquired pneumonia to COVID-19: a deep learning-based method for quantitative analysis of COVID-19 on thick-section CT scans.
Li Z; Zhong Z; Li Y; Zhang T; Gao L; Jin D; Sun Y; Ye X; Yu L; Hu Z; Xiao J; Huang L; Tang Y
Eur Radiol; 2020 Dec; 30(12):6828-6837. PubMed ID: 32683550
[TBL] [Abstract][Full Text] [Related]
8. Automated Lung Segmentation from Computed Tomography Images of Normal and COVID-19 Pneumonia Patients.
Gholamiankhah F; Mostafapour S; Abdi Goushbolagh N; Shojaerazavi S; Layegh P; Tabatabaei SM; Arabi H
Iran J Med Sci; 2022 Sep; 47(5):440-449. PubMed ID: 36117575
[TBL] [Abstract][Full Text] [Related]
9. Comparison of semiquantitative chest CT scoring systems to estimate severity in coronavirus disease 2019 (COVID-19) pneumonia.
Inoue A; Takahashi H; Ibe T; Ishii H; Kurata Y; Ishizuka Y; Hamamoto Y
Eur Radiol; 2022 May; 32(5):3513-3524. PubMed ID: 35020014
[TBL] [Abstract][Full Text] [Related]
10. MultiR-Net: A Novel Joint Learning Network for COVID-19 segmentation and classification.
Li CF; Xu YD; Ding XH; Zhao JJ; Du RQ; Wu LZ; Sun WP
Comput Biol Med; 2022 May; 144():105340. PubMed ID: 35305504
[TBL] [Abstract][Full Text] [Related]
11. Deep learning framework for prediction of infection severity of COVID-19.
Yousefzadeh M; Hasanpour M; Zolghadri M; Salimi F; Yektaeian Vaziri A; Mahmoudi Aqeel Abadi A; Jafari R; Esfahanian P; Nazem-Zadeh MR
Front Med (Lausanne); 2022; 9():940960. PubMed ID: 36059818
[TBL] [Abstract][Full Text] [Related]
12. A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images.
Ni Q; Sun ZY; Qi L; Chen W; Yang Y; Wang L; Zhang X; Yang L; Fang Y; Xing Z; Zhou Z; Yu Y; Lu GM; Zhang LJ
Eur Radiol; 2020 Dec; 30(12):6517-6527. PubMed ID: 32617690
[TBL] [Abstract][Full Text] [Related]
13. Toward data-efficient learning: A benchmark for COVID-19 CT lung and infection segmentation.
Ma J; Wang Y; An X; Ge C; Yu Z; Chen J; Zhu Q; Dong G; He J; He Z; Cao T; Zhu Y; Nie Z; Yang X
Med Phys; 2021 Mar; 48(3):1197-1210. PubMed ID: 33354790
[TBL] [Abstract][Full Text] [Related]
14. MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT.
Yang J; Wu B; Li L; Cao P; Zaiane O
Comput Med Imaging Graph; 2021 Sep; 92():101957. PubMed ID: 34325225
[TBL] [Abstract][Full Text] [Related]
15. COVID-DAI: A novel framework for COVID-19 detection and infection growth estimation using computed tomography images.
Nazir T; Nawaz M; Javed A; Malik KM; Saudagar AKJ; Khan MB; Abul Hasanat MH; AlTameem A; AlKathami M
Microsc Res Tech; 2022 Jun; 85(6):2313-2330. PubMed ID: 35194866
[TBL] [Abstract][Full Text] [Related]
16. Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation.
Suri JS; Agarwal S; Saba L; Chabert GL; Carriero A; Paschè A; Danna P; Mehmedović A; Faa G; Jujaray T; Singh IM; Khanna NN; Laird JR; Sfikakis PP; Agarwal V; Teji JS; R Yadav R; Nagy F; Kincses ZT; Ruzsa Z; Viskovic K; Kalra MK
J Med Syst; 2022 Aug; 46(10):62. PubMed ID: 35988110
[TBL] [Abstract][Full Text] [Related]
17. Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset.
Panda A; Korfiatis P; Suman G; Garg SK; Polley EC; Singh DP; Chari ST; Goenka AH
Med Phys; 2021 May; 48(5):2468-2481. PubMed ID: 33595105
[TBL] [Abstract][Full Text] [Related]
18. Classification of COVID-19 from community-acquired pneumonia: Boosting the performance with capsule network and maximum intensity projection image of CT scans.
Wu Y; Qi Q; Qi S; Yang L; Wang H; Yu H; Li J; Wang G; Zhang P; Liang Z; Chen R
Comput Biol Med; 2023 Mar; 154():106567. PubMed ID: 36738705
[TBL] [Abstract][Full Text] [Related]
19. Comparison of chest CT severity scoring systems for COVID-19.
Elmokadem AH; Mounir AM; Ramadan ZA; Elsedeiq M; Saleh GA
Eur Radiol; 2022 May; 32(5):3501-3512. PubMed ID: 35031841
[TBL] [Abstract][Full Text] [Related]
20. Association of AI quantified COVID-19 chest CT and patient outcome.
Fang X; Kruger U; Homayounieh F; Chao H; Zhang J; Digumarthy SR; Arru CD; Kalra MK; Yan P
Int J Comput Assist Radiol Surg; 2021 Mar; 16(3):435-445. PubMed ID: 33484428
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
