275 related articles for article (PubMed ID: 33594159)
1. A deep learning integrated radiomics model for identification of coronavirus disease 2019 using computed tomography.
Zhang X; Wang D; Shao J; Tian S; Tan W; Ma Y; Xu Q; Ma X; Li D; Chai J; Wang D; Liu W; Lin L; Wu J; Xia C; Zhang Z
Sci Rep; 2021 Feb; 11(1):3938. PubMed ID: 33594159
[TBL] [Abstract][Full Text] [Related]
2. A human-computer collaboration for COVID-19 differentiation: combining a radiomics model with deep learning and human auditing.
Xin X; Mo R; Shao M; Yang W; Li D; Zhang Y; Wang H; Liu B; Tian S; Chen W; Wu J; Zhu B; Zhou K; Du C; Zhang B
Ann Palliat Med; 2021 Jul; 10(7):7329-7339. PubMed ID: 34263624
[TBL] [Abstract][Full Text] [Related]
3. Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study.
Jang SB; Lee SH; Lee DE; Park SY; Kim JK; Cho JW; Cho J; Kim KB; Park B; Park J; Lim JK
PLoS One; 2020; 15(11):e0242759. PubMed ID: 33232368
[TBL] [Abstract][Full Text] [Related]
4. Multi-classifier-based identification of COVID-19 from chest computed tomography using generalizable and interpretable radiomics features.
Wang L; Kelly B; Lee EH; Wang H; Zheng J; Zhang W; Halabi S; Liu J; Tian Y; Han B; Huang C; Yeom KW; Deng K; Song J
Eur J Radiol; 2021 Mar; 136():109552. PubMed ID: 33497881
[TBL] [Abstract][Full Text] [Related]
5. Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures.
Wang H; Wang L; Lee EH; Zheng J; Zhang W; Halabi S; Liu C; Deng K; Song J; Yeom KW
Eur J Nucl Med Mol Imaging; 2021 May; 48(5):1478-1486. PubMed ID: 33094432
[TBL] [Abstract][Full Text] [Related]
6. CT radiomics facilitates more accurate diagnosis of COVID-19 pneumonia: compared with CO-RADS.
Liu H; Ren H; Wu Z; Xu H; Zhang S; Li J; Hou L; Chi R; Zheng H; Chen Y; Duan S; Li H; Xie Z; Wang D
J Transl Med; 2021 Jan; 19(1):29. PubMed ID: 33413480
[TBL] [Abstract][Full Text] [Related]
7. Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections.
Yang Y; Lure FYM; Miao H; Zhang Z; Jaeger S; Liu J; Guo L
J Xray Sci Technol; 2021; 29(1):1-17. PubMed ID: 33164982
[TBL] [Abstract][Full Text] [Related]
8. A Radiomics Signature to Quantitatively Analyze COVID-19-Infected Pulmonary Lesions.
Qiu J; Peng S; Yin J; Wang J; Jiang J; Li Z; Song H; Zhang W
Interdiscip Sci; 2021 Mar; 13(1):61-72. PubMed ID: 33411162
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Screening of COVID-19 based on the extracted radiomics features from chest CT images.
Rezaeijo SM; Abedi-Firouzjah R; Ghorvei M; Sarnameh S
J Xray Sci Technol; 2021; 29(2):229-243. PubMed ID: 33612539
[TBL] [Abstract][Full Text] [Related]
11. The usage of deep neural network improves distinguishing COVID-19 from other suspected viral pneumonia by clinicians on chest CT: a real-world study.
Xie Q; Lu Y; Xie X; Mei N; Xiong Y; Li X; Zhu Y; Xiao A; Yin B
Eur Radiol; 2021 Jun; 31(6):3864-3873. PubMed ID: 33372243
[TBL] [Abstract][Full Text] [Related]
12. A radiomics-boosted deep-learning model for COVID-19 and non-COVID-19 pneumonia classification using chest x-ray images.
Hu Z; Yang Z; Lafata KJ; Yin FF; Wang C
Med Phys; 2022 May; 49(5):3213-3222. PubMed ID: 35263458
[TBL] [Abstract][Full Text] [Related]
13. Deep learning-based triage and analysis of lesion burden for COVID-19: a retrospective study with external validation.
Wang M; Xia C; Huang L; Xu S; Qin C; Liu J; Cao Y; Yu P; Zhu T; Zhu H; Wu C; Zhang R; Chen X; Wang J; Du G; Zhang C; Wang S; Chen K; Liu Z; Xia L; Wang W
Lancet Digit Health; 2020 Oct; 2(10):e506-e515. PubMed ID: 32984796
[TBL] [Abstract][Full Text] [Related]
14. Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study.
Wu X; Hui H; Niu M; Li L; Wang L; He B; Yang X; Li L; Li H; Tian J; Zha Y
Eur J Radiol; 2020 Jul; 128():109041. PubMed ID: 32408222
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. A rapid screening classifier for diagnosing COVID-19.
Xia Y; Chen W; Ren H; Zhao J; Wang L; Jin R; Zhou J; Wang Q; Yan F; Zhang B; Lou J; Wang S; Li X; Zhou J; Xia L; Jin C; Feng J; Li W; Shen H
Int J Biol Sci; 2021; 17(2):539-548. PubMed ID: 33613111
[No Abstract] [Full Text] [Related]
17. CT-based radiomics for predicting the rapid progression of coronavirus disease 2019 (COVID-19) pneumonia lesions.
Zhang B; Ni-Jia-Ti MY; Yan R; An N; Chen L; Liu S; Chen L; Chen Q; Li M; Chen Z; You J; Dong Y; Xiong Z; Zhang S
Br J Radiol; 2021 Jun; 94(1122):20201007. PubMed ID: 33881930
[TBL] [Abstract][Full Text] [Related]
18. A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images.
Ahamed KU; Islam M; Uddin A; Akhter A; Paul BK; Yousuf MA; Uddin S; Quinn JMW; Moni MA
Comput Biol Med; 2021 Dec; 139():105014. PubMed ID: 34781234
[TBL] [Abstract][Full Text] [Related]
19. Comparison of deep learning, radiomics and subjective assessment of chest CT findings in SARS-CoV-2 pneumonia.
Arru C; Ebrahimian S; Falaschi Z; Hansen JV; Pasche A; Lyhne MD; Zimmermann M; Durlak F; Mitschke M; Carriero A; Nielsen-Kudsk JE; Kalra MK; Saba L
Clin Imaging; 2021 Dec; 80():58-66. PubMed ID: 34246044
[TBL] [Abstract][Full Text] [Related]
20. Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning.
Alshazly H; Linse C; Barth E; Martinetz T
Sensors (Basel); 2021 Jan; 21(2):. PubMed ID: 33440674
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]