268 related articles for article (PubMed ID: 36651954)
1. Is the generalizability of a developed artificial intelligence algorithm for COVID-19 on chest CT sufficient for clinical use? Results from the International Consortium for COVID-19 Imaging AI (ICOVAI).
Topff L; Groot Lipman KBW; Guffens F; Wittenberg R; Bartels-Rutten A; van Veenendaal G; Hess M; Lamerigts K; Wakkie J; Ranschaert E; Trebeschi S; Visser JJ; Beets-Tan RGH;
Eur Radiol; 2023 Jun; 33(6):4249-4258. PubMed ID: 36651954
[TBL] [Abstract][Full Text] [Related]
2. Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence.
Lessmann N; Sánchez CI; Beenen L; Boulogne LH; Brink M; Calli E; Charbonnier JP; Dofferhoff T; van Everdingen WM; Gerke PK; Geurts B; Gietema HA; Groeneveld M; van Harten L; Hendrix N; Hendrix W; Huisman HJ; Išgum I; Jacobs C; Kluge R; Kok M; Krdzalic J; Lassen-Schmidt B; van Leeuwen K; Meakin J; Overkamp M; van Rees Vellinga T; van Rikxoort EM; Samperna R; Schaefer-Prokop C; Schalekamp S; Scholten ET; Sital C; Stöger JL; Teuwen J; Venkadesh KV; de Vente C; Vermaat M; Xie W; de Wilde B; Prokop M; van Ginneken B
Radiology; 2021 Jan; 298(1):E18-E28. PubMed ID: 32729810
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. 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]
6. Diagnostic Performance in Differentiating COVID-19 from Other Viral Pneumonias on CT Imaging: Multi-Reader Analysis Compared with an Artificial Intelligence-Based Model.
Rizzetto F; Berta L; Zorzi G; Cincotta A; Travaglini F; Artioli D; Nerini Molteni S; Vismara C; Scaglione F; Torresin A; Colombo PE; Carbonaro LA; Vanzulli A
Tomography; 2022 Nov; 8(6):2815-2827. PubMed ID: 36548527
[TBL] [Abstract][Full Text] [Related]
7. Coronary computed tomography angiography analysis using artificial intelligence for stenosis quantification and stent segmentation: a multicenter study.
Meng Q; Yu P; Yin S; Li X; Chang Y; Xu W; Wu C; Xu N; Zhang H; Wang Y; Shen H; Zhang R; Zhang Q
Quant Imaging Med Surg; 2023 Oct; 13(10):6876-6886. PubMed ID: 37869330
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Facilitating standardized COVID-19 suspicion prediction based on computed tomography radiomics in a multi-demographic setting.
Nagaraj Y; de Jonge G; Andreychenko A; Presti G; Fink MA; Pavlov N; Quattrocchi CC; Morozov S; Veldhuis R; Oudkerk M; van Ooijen PMA
Eur Radiol; 2022 Sep; 32(9):6384-6396. PubMed ID: 35362751
[TBL] [Abstract][Full Text] [Related]
10. External validation, radiological evaluation, and development of deep learning automatic lung segmentation in contrast-enhanced chest CT.
Dwivedi K; Sharkey M; Alabed S; Langlotz CP; Swift AJ; Bluethgen C
Eur Radiol; 2024 Apr; 34(4):2727-2737. PubMed ID: 37775589
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. 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]
14. Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study.
Jiao Z; Choi JW; Halsey K; Tran TML; Hsieh B; Wang D; Eweje F; Wang R; Chang K; Wu J; Collins SA; Yi TY; Delworth AT; Liu T; Healey TT; Lu S; Wang J; Feng X; Atalay MK; Yang L; Feldman M; Zhang PJL; Liao WH; Fan Y; Bai HX
Lancet Digit Health; 2021 May; 3(5):e286-e294. PubMed ID: 33773969
[TBL] [Abstract][Full Text] [Related]
15. Detection and characterization of COVID-19 findings in chest CT: Feasibility and applicability of an AI-based software tool.
Gashi A; Kubik-Huch RA; Chatzaraki V; Potempa A; Rauch F; Grbic S; Wiggli B; Friedl A; Niemann T
Medicine (Baltimore); 2021 Oct; 100(41):e27478. PubMed ID: 34731126
[TBL] [Abstract][Full Text] [Related]
16. Radiological Society of North America (RSNA) Expert Consensus Statement Related to Chest CT Findings in COVID-19 Versus CO-RADS: Comparison of Reporting System Performance Among Chest Radiologists and End-User Preference.
O' Neill SB; Byrne D; Müller NL; Jalal S; Parker W; Nicolaou S; Bilawich AM
Can Assoc Radiol J; 2021 Nov; 72(4):806-813. PubMed ID: 33138634
[TBL] [Abstract][Full Text] [Related]
17. The added value of AI-based computer-aided diagnosis in classification of cancer at prostate MRI.
Liu G; Pan S; Zhao R; Zhou H; Chen J; Zhou X; Xu J; Zhou Y; Xue W; Wu G
Eur Radiol; 2023 Jul; 33(7):5118-5130. PubMed ID: 36725719
[TBL] [Abstract][Full Text] [Related]
18. External COVID-19 Deep Learning Model Validation on ACR AI-LAB: It's a Brave New World.
Ardestani A; Li MD; Chea P; Wortman JR; Medina A; Kalpathy-Cramer J; Wald C
J Am Coll Radiol; 2022 Jul; 19(7):891-900. PubMed ID: 35483438
[TBL] [Abstract][Full Text] [Related]
19. AI Lung Segmentation and Perfusion Analysis of Dual-Energy CT Can Help to Distinguish COVID-19 Infiltrates from Visually Similar Immunotherapy-Related Pneumonitis Findings and Can Optimize Radiological Workflows.
Brendlin AS; Mader M; Faby S; Schmidt B; Othman AE; Gassenmaier S; Nikolaou K; Afat S
Tomography; 2021 Dec; 8(1):22-32. PubMed ID: 35076602
[TBL] [Abstract][Full Text] [Related]
20. Multi-center validation of an artificial intelligence system for detection of COVID-19 on chest radiographs in symptomatic patients.
Kuo MD; Chiu KWH; Wang DS; Larici AR; Poplavskiy D; Valentini A; Napoli A; Borghesi A; Ligabue G; Fang XHB; Wong HKC; Zhang S; Hunter JR; Mousa A; Infante A; Elia L; Golemi S; Yu LHP; Hui CKM; Erickson BJ
Eur Radiol; 2023 Jan; 33(1):23-33. PubMed ID: 35779089
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]