154 related articles for article (PubMed ID: 36932907)
21. Overall Survival Prognostic Modelling of Non-small Cell Lung Cancer Patients Using Positron Emission Tomography/Computed Tomography Harmonised Radiomics Features: The Quest for the Optimal Machine Learning Algorithm.
Amini M; Hajianfar G; Hadadi Avval A; Nazari M; Deevband MR; Oveisi M; Shiri I; Zaidi H
Clin Oncol (R Coll Radiol); 2022 Feb; 34(2):114-127. PubMed ID: 34872823
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. Automated multiparametric localization of prostate cancer based on B-mode, shear-wave elastography, and contrast-enhanced ultrasound radiomics.
Wildeboer RR; Mannaerts CK; van Sloun RJG; Budäus L; Tilki D; Wijkstra H; Salomon G; Mischi M
Eur Radiol; 2020 Feb; 30(2):806-815. PubMed ID: 31602512
[TBL] [Abstract][Full Text] [Related]
24. Preoperative prediction of macrotrabecular-massive hepatocellular carcinoma through dynamic contrast-enhanced magnetic resonance imaging-based radiomics.
Zhang Y; He D; Liu J; Wei YG; Shi LL
World J Gastroenterol; 2023 Apr; 29(13):2001-2014. PubMed ID: 37155523
[TBL] [Abstract][Full Text] [Related]
25. Association of machine learning ultrasound radiomics and disease outcome in triple negative breast cancer.
Wang H; Li X; Yuan Y; Tong Y; Zhu S; Huang R; Shen K; Guo Y; Wang Y; Chen X
Am J Cancer Res; 2022; 12(1):152-164. PubMed ID: 35141010
[TBL] [Abstract][Full Text] [Related]
26. Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients.
Nazari M; Shiri I; Zaidi H
Comput Biol Med; 2021 Feb; 129():104135. PubMed ID: 33254045
[TBL] [Abstract][Full Text] [Related]
27. Non-invasive prediction of the chronic degree of lupus nephropathy based on ultrasound radiomics.
Yin C; Xiao W; Hu X; Liu X; Xian H; Su J; Zhang C; Qin X
Lupus; 2024 Feb; 33(2):121-128. PubMed ID: 38320976
[TBL] [Abstract][Full Text] [Related]
28. Preliminary study on the application of renal ultrasonography radiomics in the classification of glomerulopathy.
Zhang L; Chen Z; Feng L; Guo L; Liu D; Hai J; Qiao K; Chen J; Yan B; Cheng G
BMC Med Imaging; 2021 Jul; 21(1):115. PubMed ID: 34301205
[TBL] [Abstract][Full Text] [Related]
29. Radiomics features based on automatic segmented MRI images: Prognostic biomarkers for triple-negative breast cancer treated with neoadjuvant chemotherapy.
Ma M; Gan L; Liu Y; Jiang Y; Xin L; Liu Y; Qin N; Cheng Y; Liu Q; Xu L; Zhang Y; Wang X; Zhang X; Ye J; Wang X
Eur J Radiol; 2022 Jan; 146():110095. PubMed ID: 34890936
[TBL] [Abstract][Full Text] [Related]
30. Incremental value of radiomics with machine learning to the existing prognostic models for predicting outcome in renal cell carcinoma.
Xing J; Liu Y; Wang Z; Xu A; Su S; Shen S; Wang Z
Front Oncol; 2023; 13():1036734. PubMed ID: 37188171
[TBL] [Abstract][Full Text] [Related]
31. Differentiating kidney stones from phleboliths in unenhanced low-dose computed tomography using radiomics and machine learning.
De Perrot T; Hofmeister J; Burgermeister S; Martin SP; Feutry G; Klein J; Montet X
Eur Radiol; 2019 Sep; 29(9):4776-4782. PubMed ID: 30747299
[TBL] [Abstract][Full Text] [Related]
32. A combined radiomics and clinical variables model for prediction of malignancy in T2 hyperintense uterine mesenchymal tumors on MRI.
Wang T; Gong J; Li Q; Chu C; Shen W; Peng W; Gu Y; Li W
Eur Radiol; 2021 Aug; 31(8):6125-6135. PubMed ID: 33486606
[TBL] [Abstract][Full Text] [Related]
33. Develop and validate a radiomics space-time model to predict the pathological complete response in patients undergoing neoadjuvant treatment of rectal cancer: an artificial intelligence model study based on machine learning.
Peng J; Wang W; Jin H; Qin X; Hou J; Yang Z; Shu Z
BMC Cancer; 2023 Apr; 23(1):365. PubMed ID: 37085830
[TBL] [Abstract][Full Text] [Related]
34. CT-based machine learning radiomics predicts CCR5 expression level and survival in ovarian cancer.
Wan S; Zhou T; Che R; Li Y; Peng J; Wu Y; Gu S; Cheng J; Hua X
J Ovarian Res; 2023 Jan; 16(1):1. PubMed ID: 36597144
[TBL] [Abstract][Full Text] [Related]
35. Development and internal validation of machine learning algorithms for end-stage renal disease risk prediction model of people with type 2 diabetes mellitus and diabetic kidney disease.
Zou Y; Zhao L; Zhang J; Wang Y; Wu Y; Ren H; Wang T; Zhang R; Wang J; Zhao Y; Qin C; Xu H; Li L; Chai Z; Cooper ME; Tong N; Liu F
Ren Fail; 2022 Dec; 44(1):562-570. PubMed ID: 35373711
[TBL] [Abstract][Full Text] [Related]
36. An investigation of machine learning methods in delta-radiomics feature analysis.
Chang Y; Lafata K; Sun W; Wang C; Chang Z; Kirkpatrick JP; Yin FF
PLoS One; 2019; 14(12):e0226348. PubMed ID: 31834910
[TBL] [Abstract][Full Text] [Related]
37. Multiparameter MRI-based radiomics for preoperative prediction of extramural venous invasion in rectal cancer.
Shu Z; Mao D; Song Q; Xu Y; Pang P; Zhang Y
Eur Radiol; 2022 Feb; 32(2):1002-1013. PubMed ID: 34482429
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. The Role of Machine Learning and Radiomics for Treatment Response Prediction in Idiopathic Normal Pressure Hydrocephalus.
Sotoudeh H; Sadaatpour Z; Rezaei A; Shafaat O; Sotoudeh E; Tabatabaie M; Singhal A; Tanwar M
Cureus; 2021 Oct; 13(10):e18497. PubMed ID: 34754658
[TBL] [Abstract][Full Text] [Related]
40. Machine learning analysis for the noninvasive prediction of lymphovascular invasion in gastric cancer using PET/CT and enhanced CT-based radiomics and clinical variables.
Fan L; Li J; Zhang H; Yin H; Zhang R; Zhang J; Chen X
Abdom Radiol (NY); 2022 Apr; 47(4):1209-1222. PubMed ID: 35089370
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
