| scholarly article | Q13442814 |
| P50 | author | Chaoyue Chen | Q90218304 |
| Jianguo Xu | Q90218308 | ||
| P2093 | author name string | Yang Zhang | |
| Yimeng Fan | |||
| Zerong Tian | |||
| Ridong Feng | |||
| P2860 | cites work | Craniopharyngioma | Q87171613 |
| WHO grade I meningioma subtypes: MRI features and pathological analysis | Q91179688 | ||
| Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging | Q93167023 | ||
| Improving tumour heterogeneity MRI assessment with histograms | Q27693208 | ||
| Pediatric sellar tumors: diagnostic procedures and management. | Q30437557 | ||
| The dural tail sign--beyond meningioma | Q30981140 | ||
| Imaging characteristics of common suprasellar lesions with emphasis on MRI findings | Q31162504 | ||
| The Potential Value of Preoperative MRI Texture and Shape Analysis in Grading Meningiomas: A Preliminary Investigation | Q33842615 | ||
| Meningiomas in children and adolescents: a meta-analysis of individual patient data. | Q34077059 | ||
| Epidemiology and etiology of meningioma | Q34154936 | ||
| Diagnosis and Treatment of Pituitary Adenomas: A Review | Q34550758 | ||
| Craniopharyngioma in Finland. A study of 123 cases | Q34688954 | ||
| CT texture analysis of renal masses: pilot study using random forest classification for prediction of pathology | Q35155597 | ||
| A new texture and shape based technique for improving meningioma classification | Q35212879 | ||
| Childhood craniopharyngioma. Recent advances in diagnosis, treatment and follow-up. | Q37060191 | ||
| Childhood craniopharyngioma--current concepts in diagnosis, therapy and follow-up | Q37793823 | ||
| Pathology and pathogenesis of craniopharyngiomas | Q38034131 | ||
| Diagnostic Challenges in Meningioma | Q38680767 | ||
| EANO guidelines for the diagnosis and treatment of meningiomas | Q38823997 | ||
| Meningioma mimics: five key imaging features to differentiate them from meningiomas | Q39336483 | ||
| Differentiation of Uterine Leiomyosarcoma from Atypical Leiomyoma: Diagnostic Accuracy of Qualitative MR Imaging Features and Feasibility of Texture Analysis | Q40439766 | ||
| Craniopharyngioma - a childhood and adult disease with challenging characteristics | Q42224546 | ||
| Meningioma | Q44118008 | ||
| The descriptive epidemiology of craniopharyngioma. | Q45935903 | ||
| CBTRUS Statistical Report: Primary brain and other central nervous system tumors diagnosed in the United States in 2010-2014. | Q47979443 | ||
| Paediatrics: surgical strategy and quality of life in craniopharyngioma | Q48219343 | ||
| Radical surgery in a neonate with craniopharyngioma. report of a case | Q49088601 | ||
| Characterization of breast cancer types by texture analysis of magnetic resonance images. | Q51772778 | ||
| Prognostic value of computed tomography texture features in non-small cell lung cancers treated with definitive concomitant chemoradiotherapy. | Q53006568 | ||
| Craniopharyngioma Identification by CT and MR Imaging at 1.5 T | Q58153879 | ||
| Prostate cancer characterization on MR images using fractal features | Q62498901 | ||
| Craniopharyngioma | Q80483213 | ||
| Differential diagnosis of suprasellar tumors in children | Q81061346 | ||
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P304 | page(s) | 4837156 | |
| P577 | publication date | 2020-02-18 | |
| P1433 | published in | Contrast Media & Molecular Imaging | Q2995750 |
| P1476 | title | Radiomic Analysis of Craniopharyngioma and Meningioma in the Sellar/Parasellar Area with MR Images Features and Texture Features: A Feasible Study | |
| P478 | volume | 2020 |
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