133 related articles for article (PubMed ID: 36862633)
1. Robust framework for COVID-19 identication from a multicenter dataset of chest CT scans.
Khademi S; Heidarian S; Afshar P; Enshaei N; Naderkhani F; Rafiee MJ; Oikonomou A; Shafiee A; Babaki Fard F; Plataniotis KN; Mohammadi A
PLoS One; 2023; 18(3):e0282121. PubMed ID: 36862633
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Human-level COVID-19 diagnosis from low-dose CT scans using a two-stage time-distributed capsule network.
Afshar P; Rafiee MJ; Naderkhani F; Heidarian S; Enshaei N; Oikonomou A; Babaki Fard F; Anconina R; Farahani K; Plataniotis KN; Mohammadi A
Sci Rep; 2022 Mar; 12(1):4827. PubMed ID: 35318368
[TBL] [Abstract][Full Text] [Related]
5. An original deep learning model using limited data for COVID-19 discrimination: A multicenter study.
Xu F; Lou K; Chen C; Chen Q; Wang D; Wu J; Zhu W; Tan W; Zhou Y; Liu Y; Wang B; Zhang X; Zhang Z; Zhang J; Sun M; Zhang G; Dai G; Hu H
Med Phys; 2022 Jun; 49(6):3874-3885. PubMed ID: 35305027
[TBL] [Abstract][Full Text] [Related]
6. A novel deep learning-based method for COVID-19 pneumonia detection from CT images.
Luo J; Sun Y; Chi J; Liao X; Xu C
BMC Med Inform Decis Mak; 2022 Nov; 22(1):284. PubMed ID: 36324135
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. AI support for accurate and fast radiological diagnosis of COVID-19: an international multicenter, multivendor CT study.
Meng F; Kottlors J; Shahzad R; Liu H; Fervers P; Jin Y; Rinneburger M; Le D; Weisthoff M; Liu W; Ni M; Sun Y; An L; Huai X; Móré D; Giannakis A; Kaltenborn I; Bucher A; Maintz D; Zhang L; Thiele F; Li M; Perkuhn M; Zhang H; Persigehl T
Eur Radiol; 2023 Jun; 33(6):4280-4291. PubMed ID: 36525088
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Recognition of COVID-19 from CT Scans Using Two-Stage Deep-Learning-Based Approach: CNR-IEMN.
Bougourzi F; Contino R; Distante C; Taleb-Ahmed A
Sensors (Basel); 2021 Aug; 21(17):. PubMed ID: 34502769
[TBL] [Abstract][Full Text] [Related]
11. Thoracic imaging tests for the diagnosis of COVID-19.
Islam N; Salameh JP; Leeflang MM; Hooft L; McGrath TA; van der Pol CB; Frank RA; Kazi S; 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; Wang J; McInnes MD;
Cochrane Database Syst Rev; 2020 Nov; 11():CD013639. PubMed ID: 33242342
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. 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]
15. 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]
16. Development and validation of a 3D-convolutional neural network model based on chest CT for differentiating active pulmonary tuberculosis from community-acquired pneumonia.
Han D; Chen Y; Li X; Li W; Zhang X; He T; Yu Y; Dou Y; Duan H; Yu N
Radiol Med; 2023 Jan; 128(1):68-80. PubMed ID: 36574111
[TBL] [Abstract][Full Text] [Related]
17. MTU-COVNet: A hybrid methodology for diagnosing the COVID-19 pneumonia with optimized features from multi-net.
Kavuran G; İn E; Geçkil AA; Şahin M; Berber NK
Clin Imaging; 2022 Jan; 81():1-8. PubMed ID: 34592696
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. COVID-CT-Mask-Net: prediction of COVID-19 from CT scans using regional features.
Ter-Sarkisov A
Appl Intell (Dordr); 2022; 52(9):9664-9675. PubMed ID: 35035092
[TBL] [Abstract][Full Text] [Related]
20. Potential diagnosis of COVID-19 from chest X-ray and CT findings using semi-supervised learning.
Sahoo P; Roy I; Ahlawat R; Irtiza S; Khan L
Phys Eng Sci Med; 2022 Mar; 45(1):31-42. PubMed ID: 34780042
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
