287 related articles for article (PubMed ID: 34263624)
1. 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]
2. 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]
3. Machine learning-based CT radiomics model distinguishes COVID-19 from non-COVID-19 pneumonia.
Chen HJ; Mao L; Chen Y; Yuan L; Wang F; Li X; Cai Q; Qiu J; Chen F
BMC Infect Dis; 2021 Sep; 21(1):931. PubMed ID: 34496794
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. 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]
7. 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]
8. 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]
9. Application of Machine Learning and Deep EfficientNets in Distinguishing Neonatal Adrenal Hematomas From Neuroblastoma in Enhanced Computed Tomography Images.
Xie LL; Gong Y; Dong KR; Shen C; Duan B; Dong R
World J Oncol; 2024 Feb; 15(1):81-89. PubMed ID: 38274719
[TBL] [Abstract][Full Text] [Related]
10. Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data.
Purkayastha S; Xiao Y; Jiao Z; Thepumnoeysuk R; Halsey K; Wu J; Tran TML; Hsieh B; Choi JW; Wang D; Vallières M; Wang R; Collins S; Feng X; Feldman M; Zhang PJ; Atalay M; Sebro R; Yang L; Fan Y; Liao WH; Bai HX
Korean J Radiol; 2021 Jul; 22(7):1213-1224. PubMed ID: 33739635
[TBL] [Abstract][Full Text] [Related]
11. Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients.
Shiri I; Sorouri M; Geramifar P; Nazari M; Abdollahi M; Salimi Y; Khosravi B; Askari D; Aghaghazvini L; Hajianfar G; Kasaeian A; Abdollahi H; Arabi H; Rahmim A; Radmard AR; Zaidi H
Comput Biol Med; 2021 May; 132():104304. PubMed ID: 33691201
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. GACDN: generative adversarial feature completion and diagnosis network for COVID-19.
Zhu Q; Ye H; Sun L; Li Z; Wang R; Shi F; Shen D; Zhang D
BMC Med Imaging; 2021 Oct; 21(1):154. PubMed ID: 34674660
[TBL] [Abstract][Full Text] [Related]
15. Computed tomography angiography-based radiomics model for predicting carotid atherosclerotic plaque vulnerability.
Shan D; Wang S; Wang J; Lu J; Ren J; Chen J; Wang D; Qi P
Front Neurol; 2023; 14():1151326. PubMed ID: 37396779
[TBL] [Abstract][Full Text] [Related]
16. Diagnostic classification of coronavirus disease 2019 (COVID-19) and other pneumonias using radiomics features in CT chest images.
Yang N; Liu F; Li C; Xiao W; Xie S; Yuan S; Zuo W; Ma X; Jiang G
Sci Rep; 2021 Sep; 11(1):17885. PubMed ID: 34504246
[TBL] [Abstract][Full Text] [Related]
17. Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics.
Mao B; Ma J; Duan S; Xia Y; Tao Y; Zhang L
Eur Radiol; 2021 Jul; 31(7):4576-4586. PubMed ID: 33447862
[TBL] [Abstract][Full Text] [Related]
18. Lung Cancer and Granuloma Identification Using a Deep Learning Model to Extract 3-Dimensional Radiomics Features in CT Imaging.
Lin X; Jiao H; Pang Z; Chen H; Wu W; Wang X; Xiong L; Chen B; Huang Y; Li S; Li L
Clin Lung Cancer; 2021 Sep; 22(5):e756-e766. PubMed ID: 33678583
[TBL] [Abstract][Full Text] [Related]
19. CT-based radiomics combined with signs: a valuable tool to help radiologist discriminate COVID-19 and influenza pneumonia.
Huang Y; Zhang Z; Liu S; Li X; Yang Y; Ma J; Li Z; Zhou J; Jiang Y; He B
BMC Med Imaging; 2021 Feb; 21(1):31. PubMed ID: 33596844
[TBL] [Abstract][Full Text] [Related]
20. Quantitative CT imaging features for COVID-19 evaluation: The ability to differentiate COVID-19 from non- COVID-19 (highly suspected) pneumonia patients during the epidemic period.
Peng S; Pan L; Guo Y; Gong B; Huang X; Liu S; Huang J; Pu H; Zeng J
PLoS One; 2022; 17(1):e0256194. PubMed ID: 35025878
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
