129 related articles for article (PubMed ID: 38326935)
41. Prediction of Hepatic Encephalopathy After Transjugular Intrahepatic Portosystemic Shunt Based on CT Radiomic Features of Visceral Adipose Tissue.
Cheng S; Hu G; Jin Z; Wang Z; Xue H
Acad Radiol; 2024 May; 31(5):1849-1861. PubMed ID: 38007366
[TBL] [Abstract][Full Text] [Related]
42. 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]
43. MRI-based multiregional radiomics for preoperative prediction of tumor deposit and prognosis in resectable rectal cancer: a bicenter study.
Li H; Chen XL; Liu H; Liu YS; Li ZL; Pang MH; Pu H
Eur Radiol; 2023 Nov; 33(11):7561-7572. PubMed ID: 37160427
[TBL] [Abstract][Full Text] [Related]
44. A multimodal radiomic machine learning approach to predict the LCK expression and clinical prognosis in high-grade serous ovarian cancer.
Zhan F; He L; Yu Y; Chen Q; Guo Y; Wang L
Sci Rep; 2023 Sep; 13(1):16397. PubMed ID: 37773310
[TBL] [Abstract][Full Text] [Related]
45. [Prediction of platinum-based chemotherapy sensitivity for epithelial ovarian cancer by multi-sequence MRI-based radiomic nomogram].
Mao MM; Li HM; Shi J; Qiu QS; Feng F
Zhonghua Yi Xue Za Zhi; 2022 Jan; 102(3):201-208. PubMed ID: 35042289
[No Abstract] [Full Text] [Related]
46. Machine-learning-based performance comparison of two-dimensional (2D) and three-dimensional (3D) CT radiomics features for intracerebral haemorrhage expansion.
Chen Q; Fu C; Qiu X; He J; Zhao T; Zhang Q; Hu X; Hu H
Clin Radiol; 2024 Jan; 79(1):e26-e33. PubMed ID: 37926647
[TBL] [Abstract][Full Text] [Related]
47. Development and Validation of Contrast-Enhanced CT-Based Deep Transfer Learning and Combined Clinical-Radiomics Model to Discriminate Thymomas and Thymic Cysts: A Multicenter Study.
Yang Y; Cheng J; Peng Z; Yi L; Lin Z; He A; Jin M; Cui C; Liu Y; Zhong Q; Zuo M
Acad Radiol; 2024 Apr; 31(4):1615-1628. PubMed ID: 37949702
[TBL] [Abstract][Full Text] [Related]
48. T2WI-based MRI radiomics for the prediction of preoperative extranodal extension and prognosis in resectable rectal cancer.
Li H; Chai L; Pu H; Yin LL; Li M; Zhang X; Liu YS; Pang MH; Lu T
Insights Imaging; 2024 Feb; 15(1):57. PubMed ID: 38411722
[TBL] [Abstract][Full Text] [Related]
49. Can perihaematomal radiomics features predict haematoma expansion?
Zhu D; Zhang M; Li Q; Liu J; Zhuang Y; Chen Q; Chen C; Xiang Y; Zhang Y; Yang Y
Clin Radiol; 2021 Aug; 76(8):629.e1-629.e9. PubMed ID: 33858695
[TBL] [Abstract][Full Text] [Related]
50. Quantitative CT radiomics-based models for prediction of haematoma expansion and poor functional outcome in primary intracerebral haemorrhage.
Pszczolkowski S; Manzano-Patrón JP; Law ZK; Krishnan K; Ali A; Bath PM; Sprigg N; Dineen RA
Eur Radiol; 2021 Oct; 31(10):7945-7959. PubMed ID: 33860831
[TBL] [Abstract][Full Text] [Related]
51. Predicting preoperative muscle invasion status for bladder cancer using computed tomography-based radiomics nomogram.
Zhang R; Jia S; Zhai L; Wu F; Zhang S; Li F
BMC Med Imaging; 2024 Apr; 24(1):98. PubMed ID: 38678222
[TBL] [Abstract][Full Text] [Related]
52. Computed tomography-based radiomics prediction of CTLA4 expression and prognosis in clear cell renal cell carcinoma.
He H; Jin Z; Dai J; Wang H; Sun J; Xu D
Cancer Med; 2023 Mar; 12(6):7627-7638. PubMed ID: 36397666
[TBL] [Abstract][Full Text] [Related]
53. A Novel CT-based Radiomics-Clinical Nomogram for the Prediction of Short-Term Prognosis in Deep Intracerebral Hemorrhage.
Zhou Z; Song Z; Chen Y; Cai J
World Neurosurg; 2022 Jan; 157():e461-e472. PubMed ID: 34688936
[TBL] [Abstract][Full Text] [Related]
54. Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction.
Sun Y; Li C; Jin L; Gao P; Zhao W; Ma W; Tan M; Wu W; Duan S; Shan Y; Li M
Eur Radiol; 2020 Jul; 30(7):3650-3659. PubMed ID: 32162003
[TBL] [Abstract][Full Text] [Related]
55. Computed tomography-based radiomics nomogram model for predicting adherent perinephric fat.
Ma T; Cong L; Xu J; Huang C; Ma Q; Hua Q; Li X; Huang Z; Wang X; Chen Y
J Cancer Res Ther; 2022 Apr; 18(2):336-344. PubMed ID: 35645098
[TBL] [Abstract][Full Text] [Related]
56. Nomogram using intratumoral and peritumoral radiomics for the preoperative prediction of visceral pleural invasion in clinical stage IA lung adenocarcinoma.
Wang Y; Lyu D; Hu S; Ma Y; Duan S; Geng Y; Zhou T; Tu W; Xiao Y; Fan L; Liu S
J Cardiothorac Surg; 2024 May; 19(1):307. PubMed ID: 38822379
[TBL] [Abstract][Full Text] [Related]
57. Computed tomography-based radiomics model to predict adverse clinical outcomes in acute pulmonary embolism.
Yang F; Chen R; Yang Y; Yang Z; Su Y; Ji M; Pang Z; Wang D
J Thromb Thrombolysis; 2024 Mar; 57(3):428-436. PubMed ID: 38280936
[TBL] [Abstract][Full Text] [Related]
58. 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]
59. Perihematomal edema-based CT-radiomics model to predict functional outcome in patients with intracerebral hemorrhage.
Huang X; Wang D; Ma Y; Zhang Q; Ren J; Zhao H; Li S; Deng J; Yang J; Zhao Z; Xu M; Zhou Q; Zhou J
Diagn Interv Imaging; 2023 Sep; 104(9):391-400. PubMed ID: 37179244
[TBL] [Abstract][Full Text] [Related]
60. Combination of computed tomography imaging-based radiomics and clinicopathological characteristics for predicting the clinical benefits of immune checkpoint inhibitors in lung cancer.
Yang B; Zhou L; Zhong J; Lv T; Li A; Ma L; Zhong J; Yin S; Huang L; Zhou C; Li X; Ge YQ; Tao X; Zhang L; Son Y; Lu G
Respir Res; 2021 Jun; 22(1):189. PubMed ID: 34183009
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]