126 related articles for article (PubMed ID: 36640529)
1. ACSN: Attention capsule sampling network for diagnosing COVID-19 based on chest CT scans.
Wen C; Liu S; Liu S; Heidari AA; Hijji M; Zarco C; Muhammad K
Comput Biol Med; 2023 Feb; 153():106338. PubMed ID: 36640529
[TBL] [Abstract][Full Text] [Related]
2. Deep Transfer Learning for COVID-19 Detection and Lesion Recognition Using Chest CT Images.
Zhang S; Yuan GC
Comput Math Methods Med; 2022; 2022():4509394. PubMed ID: 36285284
[TBL] [Abstract][Full Text] [Related]
3. Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy.
Li L; Qin L; Xu Z; Yin Y; Wang X; Kong B; Bai J; Lu Y; Fang Z; Song Q; Cao K; Liu D; Wang G; Xu Q; Fang X; Zhang S; Xia J; Xia J
Radiology; 2020 Aug; 296(2):E65-E71. PubMed ID: 32191588
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Deep Learning Algorithm for COVID-19 Classification Using Chest X-Ray Images.
V J S; D JF
Comput Math Methods Med; 2021; 2021():9269173. PubMed ID: 34795794
[TBL] [Abstract][Full Text] [Related]
6. Fully automatic pipeline of convolutional neural networks and capsule networks to distinguish COVID-19 from community-acquired pneumonia via CT images.
Qi Q; Qi S; Wu Y; Li C; Tian B; Xia S; Ren J; Yang L; Wang H; Yu H
Comput Biol Med; 2022 Feb; 141():105182. PubMed ID: 34979404
[TBL] [Abstract][Full Text] [Related]
7. Computed tomography-based COVID-19 triage through a deep neural network using mask-weighted global average pooling.
Zhang HT; Sun ZY; Zhou J; Gao S; Dong JH; Liu Y; Bai X; Ma JL; Li M; Li G; Cai JM; Sheng FG
Front Cell Infect Microbiol; 2023; 13():1116285. PubMed ID: 36936770
[TBL] [Abstract][Full Text] [Related]
8. COVID-19 diagnosis on CT scan images using a generative adversarial network and concatenated feature pyramid network with an attention mechanism.
Li Z; Zhang J; Li B; Gu X; Luo X
Med Phys; 2021 Aug; 48(8):4334-4349. PubMed ID: 34117783
[TBL] [Abstract][Full Text] [Related]
9. Thoracic imaging tests for the diagnosis of COVID-19.
Salameh JP; Leeflang MM; Hooft L; Islam N; McGrath TA; van der Pol CB; Frank RA; Prager R; Hare SS; Dennie C; Spijker R; Deeks JJ; Dinnes J; Jenniskens K; Korevaar DA; Cohen JF; Van den Bruel A; Takwoingi Y; van de Wijgert J; Damen JA; Wang J; ; McInnes MD
Cochrane Database Syst Rev; 2020 Sep; 9():CD013639. PubMed ID: 32997361
[TBL] [Abstract][Full Text] [Related]
10. Computer-Aided Diagnosis of COVID-19 CT Scans Based on Spatiotemporal Information Fusion.
Li T; Wei W; Cheng L; Zhao S; Xu C; Zhang X; Zeng Y; Gu J
J Healthc Eng; 2021; 2021():6649591. PubMed ID: 33747417
[TBL] [Abstract][Full Text] [Related]
11. COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images.
Reis HC; Turk V
Artif Intell Med; 2022 Dec; 134():102427. PubMed ID: 36462906
[TBL] [Abstract][Full Text] [Related]
12. Diagnostic Accuracy of Chest Computed Tomography Scans for Suspected Patients With COVID-19: Receiver Operating Characteristic Curve Analysis.
Wu L; Jin Q; Chen J; He J; Brett-Major DM; Dong JJ
JMIR Public Health Surveill; 2020 Oct; 6(4):e19424. PubMed ID: 33001830
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Detection of COVID-19 With CT Images Using Hybrid Complex Shearlet Scattering Networks.
Ren Q; Zhou B; Tian L; Guo W
IEEE J Biomed Health Inform; 2022 Jan; 26(1):194-205. PubMed ID: 34855604
[TBL] [Abstract][Full Text] [Related]
15. Prediction of Patient Management in COVID-19 Using Deep Learning-Based Fully Automated Extraction of Cardiothoracic CT Metrics and Laboratory Findings.
Weikert T; Rapaka S; Grbic S; Re T; Chaganti S; Winkel DJ; Anastasopoulos C; Niemann T; Wiggli BJ; Bremerich J; Twerenbold R; Sommer G; Comaniciu D; Sauter AW
Korean J Radiol; 2021 Jun; 22(6):994-1004. PubMed ID: 33686818
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network.
Qi X; Brown LG; Foran DJ; Nosher J; Hacihaliloglu I
Int J Comput Assist Radiol Surg; 2021 Feb; 16(2):197-206. PubMed ID: 33420641
[TBL] [Abstract][Full Text] [Related]
18. Dual attention fusion UNet for COVID-19 lesion segmentation from CT images.
Ma Y; Zhang Y; Chen L; Jiang Q; Wei B
J Xray Sci Technol; 2023; 31(4):713-729. PubMed ID: 37092210
[TBL] [Abstract][Full Text] [Related]
19. SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning.
Wang X; Yuan Y; Guo D; Huang X; Cui Y; Xia M; Wang Z; Bai C; Chen S
Med Image Anal; 2022 Jul; 79():102459. PubMed ID: 35544999
[TBL] [Abstract][Full Text] [Related]
20. COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT Scans.
Heidarian S; Afshar P; Enshaei N; Naderkhani F; Rafiee MJ; Babaki Fard F; Samimi K; Atashzar SF; Oikonomou A; Plataniotis KN; Mohammadi A
Front Artif Intell; 2021; 4():598932. PubMed ID: 34113843
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
