355 related articles for article (PubMed ID: 33661911)
1. Prediction of femoral osteoporosis using machine-learning analysis with radiomics features and abdomen-pelvic CT: A retrospective single center preliminary study.
Lim HK; Ha HI; Park SY; Han J
PLoS One; 2021; 16(3):e0247330. PubMed ID: 33661911
[TBL] [Abstract][Full Text] [Related]
2. Applying Machine Learning Analysis Based on Proximal Femur of Abdominal Computed Tomography to Screen for Abnormal Bone Mass in Femur.
Yuan X; Liang Y; Yang H; Feng L; Sun H; Li C; Qin J
Acad Radiol; 2024 May; 31(5):2003-2010. PubMed ID: 37973518
[TBL] [Abstract][Full Text] [Related]
3. Development and validation of a machine learning-derived radiomics model for diagnosis of osteoporosis and osteopenia using quantitative computed tomography.
Xie Q; Chen Y; Hu Y; Zeng F; Wang P; Xu L; Wu J; Li J; Zhu J; Xiang M; Zeng F
BMC Med Imaging; 2022 Aug; 22(1):140. PubMed ID: 35941568
[TBL] [Abstract][Full Text] [Related]
4. Application of machine learning model to predict osteoporosis based on abdominal computed tomography images of the psoas muscle: a retrospective study.
Huang CB; Hu JS; Tan K; Zhang W; Xu TH; Yang L
BMC Geriatr; 2022 Oct; 22(1):796. PubMed ID: 36229793
[TBL] [Abstract][Full Text] [Related]
5. [Value of the application of enhanced CT radiomics and machine learning in preoperative prediction of microvascular invasion in hepatocellular carcinoma].
Yu YX; Hu CH; Wang XM; Fan YF; Hu MJ; Shi C; Hu S; Zhu M; Zhang Y
Zhonghua Yi Xue Za Zhi; 2021 May; 101(17):1239-1245. PubMed ID: 34865392
[No Abstract] [Full Text] [Related]
6. Proximal Femur Hounsfield Units on CT Colonoscopy Correlate With Dual-energy X-ray Absorptiometry.
Christensen DL; Nappo KE; Wolfe JA; Wade SM; Brooks DI; Potter BK; Forsberg JA; Tintle SM
Clin Orthop Relat Res; 2019 Apr; 477(4):850-860. PubMed ID: 30811362
[TBL] [Abstract][Full Text] [Related]
7. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
[TBL] [Abstract][Full Text] [Related]
8. Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP grade.
Shu J; Wen D; Xi Y; Xia Y; Cai Z; Xu W; Meng X; Liu B; Yin H
Eur J Radiol; 2019 Dec; 121():108738. PubMed ID: 31756634
[TBL] [Abstract][Full Text] [Related]
9. A Computed Tomography-based Radiomics Analysis of Low-energy Proximal Femur Fractures in the Elderly Patients.
Mohammadi SM; Moniri S; Mohammadhoseini P; Hanafi MG; Farasat M; Cheki M
Curr Radiopharm; 2023 Jun; 16(3):222-232. PubMed ID: 36944624
[TBL] [Abstract][Full Text] [Related]
10. CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma.
Jiang C; Luo Y; Yuan J; You S; Chen Z; Wu M; Wang G; Gong J
Eur Radiol; 2020 Jul; 30(7):4050-4057. PubMed ID: 32112116
[TBL] [Abstract][Full Text] [Related]
11. Machine learning-based radiomics strategy for prediction of cell proliferation in non-small cell lung cancer.
Gu Q; Feng Z; Liang Q; Li M; Deng J; Ma M; Wang W; Liu J; Liu P; Rong P
Eur J Radiol; 2019 Sep; 118():32-37. PubMed ID: 31439255
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. A diagnostic approach integrated multimodal radiomics with machine learning models based on lumbar spine CT and X-ray for osteoporosis.
Cheng L; Cai F; Xu M; Liu P; Liao J; Zong S
J Bone Miner Metab; 2023 Nov; 41(6):877-889. PubMed ID: 37898574
[TBL] [Abstract][Full Text] [Related]
14. A preliminary study using spinal MRI-based radiomics to predict high-risk cytogenetic abnormalities in multiple myeloma.
Liu J; Wang C; Guo W; Zeng P; Liu Y; Lang N; Yuan H
Radiol Med; 2021 Sep; 126(9):1226-1235. PubMed ID: 34159496
[TBL] [Abstract][Full Text] [Related]
15. Computed Tomography-Based Radiomic Features Could Potentially Predict Microsatellite Instability Status in Stage II Colorectal Cancer: A Preliminary Study.
Fan S; Li X; Cui X; Zheng L; Ren X; Ma W; Ye Z
Acad Radiol; 2019 Dec; 26(12):1633-1640. PubMed ID: 30929999
[TBL] [Abstract][Full Text] [Related]
16. Optimizing the radiomics-machine-learning model based on non-contrast enhanced CT for the simplified risk categorization of thymic epithelial tumors: A large cohort retrospective study.
Feng XL; Wang SZ; Chen HH; Huang YX; Xin YK; Zhang T; Cheng DL; Mao L; Li XL; Liu CX; Hu YC; Wang W; Cui GB; Nan HY
Lung Cancer; 2022 Apr; 166():150-160. PubMed ID: 35287067
[TBL] [Abstract][Full Text] [Related]
17. Development and Validation of a Radiomics Model for Differentiating Bone Islands and Osteoblastic Bone Metastases at Abdominal CT.
Hong JH; Jung JY; Jo A; Nam Y; Pak S; Lee SY; Park H; Lee SE; Kim S
Radiology; 2021 Jun; 299(3):626-632. PubMed ID: 33787335
[TBL] [Abstract][Full Text] [Related]
18. Comparison of the diagnostic performance of CT Hounsfield unit histogram analysis and dual-energy X-ray absorptiometry in predicting osteoporosis of the femur.
Lim HK; Ha HI; Park SY; Lee K
Eur Radiol; 2019 Apr; 29(4):1831-1840. PubMed ID: 30255256
[TBL] [Abstract][Full Text] [Related]
19. Radiomics for classification of bone mineral loss: A machine learning study.
Rastegar S; Vaziri M; Qasempour Y; Akhash MR; Abdalvand N; Shiri I; Abdollahi H; Zaidi H
Diagn Interv Imaging; 2020 Sep; 101(9):599-610. PubMed ID: 32033913
[TBL] [Abstract][Full Text] [Related]
20. The exploration of feature extraction and machine learning for predicting bone density from simple spine X-ray images in a Korean population.
Lee S; Choe EK; Kang HY; Yoon JW; Kim HS
Skeletal Radiol; 2020 Apr; 49(4):613-618. PubMed ID: 31760458
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]