132 related articles for article (PubMed ID: 36864921)
1. Development and evaluation clinical-radiomics analysis based on T1-weighted imaging for diagnosing neonatal acute bilirubin encephalopathy.
Yu J; Liu Y; Jiang Y; Gao B; Wang J; Guo Y; Xie L; Miao Y
Front Neurol; 2023; 14():956975. PubMed ID: 36864921
[TBL] [Abstract][Full Text] [Related]
2. The differential value of radiomics based on traditional T1-weighted sequences in newborns with hyperbilirubinemia.
Sun Y; Liao Y; Jia F; Ning G; Wang X; Zhang Y; Li P; Qu H
BMC Med Imaging; 2023 Aug; 23(1):112. PubMed ID: 37620769
[TBL] [Abstract][Full Text] [Related]
3. Machine Learning Assisted MRI Characterization for Diagnosis of Neonatal Acute Bilirubin Encephalopathy.
Liu Z; Ji B; Zhang Y; Cui G; Liu L; Man S; Ding L; Yang X; Mao H; Wang L
Front Neurol; 2019; 10():1018. PubMed ID: 31632332
[No Abstract] [Full Text] [Related]
4. Glioma grading prediction using multiparametric magnetic resonance imaging-based radiomics combined with proton magnetic resonance spectroscopy and diffusion tensor imaging.
Lin K; Cidan W; Qi Y; Wang X
Med Phys; 2022 Jul; 49(7):4419-4429. PubMed ID: 35366379
[TBL] [Abstract][Full Text] [Related]
5. Development and external validation of a multiparametric MRI-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer: a retrospective multicenter study.
Li Z; Zhang J; Zhong Q; Feng Z; Shi Y; Xu L; Zhang R; Yu F; Lv B; Yang T; Huang C; Cui F; Chen F
Eur Radiol; 2023 Mar; 33(3):1835-1843. PubMed ID: 36282309
[TBL] [Abstract][Full Text] [Related]
6. Brain MRI radiomics analysis may predict poor psychomotor outcome in preterm neonates.
Shin Y; Nam Y; Shin T; Choi JW; Lee JH; Jung DE; Lim J; Kim HG
Eur Radiol; 2021 Aug; 31(8):6147-6155. PubMed ID: 33758957
[TBL] [Abstract][Full Text] [Related]
7. Radiomics Nomograms Based on Non-enhanced MRI and Clinical Risk Factors for the Differentiation of Chondrosarcoma from Enchondroma.
Pan J; Zhang K; Le H; Jiang Y; Li W; Geng Y; Li S; Hong G
J Magn Reson Imaging; 2021 Oct; 54(4):1314-1323. PubMed ID: 33949727
[TBL] [Abstract][Full Text] [Related]
8. MRI-Based Radiomics Signature for the Preoperative Prediction of Extracapsular Extension of Prostate Cancer.
Ma S; Xie H; Wang H; Han C; Yang J; Lin Z; Li Y; He Q; Wang R; Cui Y; Zhang X; Wang X
J Magn Reson Imaging; 2019 Dec; 50(6):1914-1925. PubMed ID: 31062459
[TBL] [Abstract][Full Text] [Related]
9. Preoperative Prediction of Perineural Invasion Status of Rectal Cancer Based on Radiomics Nomogram of Multiparametric Magnetic Resonance Imaging.
Zhang Y; Peng J; Liu J; Ma Y; Shu Z
Front Oncol; 2022; 12():828904. PubMed ID: 35480114
[TBL] [Abstract][Full Text] [Related]
10. Pretreatment Multiparametric MRI-Based Radiomics Analysis for the Diagnosis of Breast Phyllodes Tumors.
Ma X; Gong J; Hu F; Tang W; Gu Y; Peng W
J Magn Reson Imaging; 2023 Feb; 57(2):633-645. PubMed ID: 35657093
[TBL] [Abstract][Full Text] [Related]
11. A MRI-based radiomics nomogram for evaluation of renal function in ADPKD.
Li X; Liu Q; Xu J; Huang C; Hua Q; Wang H; Ma T; Huang Z
Abdom Radiol (NY); 2022 Apr; 47(4):1385-1395. PubMed ID: 35152314
[TBL] [Abstract][Full Text] [Related]
12. Preoperative Prediction of Lymph Node Metastasis of Pancreatic Ductal Adenocarcinoma Based on a Radiomics Nomogram of Dual-Parametric MRI Imaging.
Shi L; Wang L; Wu C; Wei Y; Zhang Y; Chen J
Front Oncol; 2022; 12():927077. PubMed ID: 35875061
[TBL] [Abstract][Full Text] [Related]
13. Radiomics Model Based on MR Images to Discriminate Pancreatic Ductal Adenocarcinoma and Mass-Forming Chronic Pancreatitis Lesions.
Deng Y; Ming B; Zhou T; Wu JL; Chen Y; Liu P; Zhang J; Zhang SY; Chen TW; Zhang XM
Front Oncol; 2021; 11():620981. PubMed ID: 33842325
[TBL] [Abstract][Full Text] [Related]
14. [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]
15. Radiomics based of deep medullary veins on susceptibility-weighted imaging in infants: predicting the severity of brain injury of neonates with perinatal asphyxia.
Zhuang X; Lin H; Li J; Yin Y; Dong X; Jin K
Eur J Med Res; 2023 Jan; 28(1):9. PubMed ID: 36609425
[TBL] [Abstract][Full Text] [Related]
16. Radiomics Analysis of Multiparametric MRI for Prediction of Synchronous Lung Metastases in Osteosarcoma.
Luo Z; Li J; Liao Y; Liu R; Shen X; Chen W
Front Oncol; 2022; 12():802234. PubMed ID: 35273911
[TBL] [Abstract][Full Text] [Related]
17. [Changes of globus pallidus in the newborn infants with severe hyperbilirubinemia].
Mao J; Fu JH; Chen LY; Wang XM; Xue XD
Zhonghua Er Ke Za Zhi; 2007 Jan; 45(1):24-9. PubMed ID: 17349144
[TBL] [Abstract][Full Text] [Related]
18. Extrathyroidal Extension Prediction of Papillary Thyroid Cancer With Computed Tomography Based Radiomics Nomogram: A Multicenter Study.
Yu P; Wu X; Li J; Mao N; Zhang H; Zheng G; Han X; Dong L; Che K; Wang Q; Li G; Mou Y; Song X
Front Endocrinol (Lausanne); 2022; 13():874396. PubMed ID: 35721715
[TBL] [Abstract][Full Text] [Related]
19. [Radiomics models based on non-enhanced MRI can differentiate chondrosarcoma from enchondroma].
Pan J; Jiang Y; Zhan Y; Zuo P; Fang Y; Li S; Hong G
Nan Fang Yi Ke Da Xue Xue Bao; 2020 Apr; 40(4):483-490. PubMed ID: 32895139
[TBL] [Abstract][Full Text] [Related]
20. Multi-parametric MRI-based radiomics for the diagnosis of malignant soft-tissue tumor.
Yue Z; Wang X; Yu T; Shang S; Liu G; Jing W; Yang H; Luo Y; Jiang X
Magn Reson Imaging; 2022 Sep; 91():91-99. PubMed ID: 35525523
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]