210 related articles for article (PubMed ID: 33692222)
1. Texture Analysis in Brain Tumor MR Imaging.
Kunimatsu A; Yasaka K; Akai H; Sugawara H; Kunimatsu N; Abe O
Magn Reson Med Sci; 2022 Mar; 21(1):95-109. PubMed ID: 33692222
[TBL] [Abstract][Full Text] [Related]
2. Diagnostic performance of texture analysis on MRI in grading cerebral gliomas.
Skogen K; Schulz A; Dormagen JB; Ganeshan B; Helseth E; Server A
Eur J Radiol; 2016 Apr; 85(4):824-9. PubMed ID: 26971430
[TBL] [Abstract][Full Text] [Related]
3. Predicting outcome in childhood diffuse midline gliomas using magnetic resonance imaging based texture analysis.
Szychot E; Youssef A; Ganeshan B; Endozo R; Hyare H; Gains J; Mankad K; Shankar A
J Neuroradiol; 2021 Jun; 48(4):243-247. PubMed ID: 32184119
[TBL] [Abstract][Full Text] [Related]
4. Diagnostic accuracy of MRI texture analysis for grading gliomas.
Ditmer A; Zhang B; Shujaat T; Pavlina A; Luibrand N; Gaskill-Shipley M; Vagal A
J Neurooncol; 2018 Dec; 140(3):583-589. PubMed ID: 30145731
[TBL] [Abstract][Full Text] [Related]
5. Filtration-histogram based magnetic resonance texture analysis (MRTA) for glioma IDH and 1p19q genotyping.
Lewis MA; Ganeshan B; Barnes A; Bisdas S; Jaunmuktane Z; Brandner S; Endozo R; Groves A; Thust SC
Eur J Radiol; 2019 Apr; 113():116-123. PubMed ID: 30927935
[TBL] [Abstract][Full Text] [Related]
6. Optimizing Texture Retrieving Model for Multimodal MR Image-Based Support Vector Machine for Classifying Glioma.
Yang Y; Yan LF; Zhang X; Nan HY; Hu YC; Han Y; Zhang J; Liu ZC; Sun YZ; Tian Q; Yu Y; Sun Q; Wang SY; Zhang X; Wang W; Cui GB
J Magn Reson Imaging; 2019 May; 49(5):1263-1274. PubMed ID: 30623514
[TBL] [Abstract][Full Text] [Related]
7.
Colgan N; Ganeshan B; Harrison IF; Ismail O; Holmes HE; Wells JA; Powell NM; O'Callaghan JM; O'Neill MJ; Murray TK; Ahmed Z; Collins EC; Johnson RA; Groves A; Lythgoe MF
Front Neurosci; 2017; 11():599. PubMed ID: 29163005
[No Abstract] [Full Text] [Related]
8. Radiomics strategy for glioma grading using texture features from multiparametric MRI.
Tian Q; Yan LF; Zhang X; Zhang X; Hu YC; Han Y; Liu ZC; Nan HY; Sun Q; Sun YZ; Yang Y; Yu Y; Zhang J; Hu B; Xiao G; Chen P; Tian S; Xu J; Wang W; Cui GB
J Magn Reson Imaging; 2018 Dec; 48(6):1518-1528. PubMed ID: 29573085
[TBL] [Abstract][Full Text] [Related]
9. Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics for Prediction of H3K27M Mutation in Midline Gliomas.
Kandemirli SG; Kocak B; Naganawa S; Ozturk K; Yip SSF; Chopra S; Rivetti L; Aldine AS; Jones K; Cayci Z; Moritani T; Sato TS
World Neurosurg; 2021 Jul; 151():e78-e85. PubMed ID: 33819703
[TBL] [Abstract][Full Text] [Related]
10. Textural features of dynamic contrast-enhanced MRI derived model-free and model-based parameter maps in glioma grading.
Xie T; Chen X; Fang J; Kang H; Xue W; Tong H; Cao P; Wang S; Yang Y; Zhang W
J Magn Reson Imaging; 2018 Apr; 47(4):1099-1111. PubMed ID: 28845594
[TBL] [Abstract][Full Text] [Related]
11. Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features.
Zhang X; Yan LF; Hu YC; Li G; Yang Y; Han Y; Sun YZ; Liu ZC; Tian Q; Han ZY; Liu LD; Hu BQ; Qiu ZY; Wang W; Cui GB
Oncotarget; 2017 Jul; 8(29):47816-47830. PubMed ID: 28599282
[TBL] [Abstract][Full Text] [Related]
12. Multi-parametric MR Imaging Biomarkers Associated to Clinical Outcomes in Gliomas: A Systematic Review.
Oltra-Sastre M; Fuster-Garcia E; Juan-Albarracin J; Sáez C; Perez-Girbes A; Sanz-Requena R; Revert-Ventura A; Mocholi A; Urchueguia J; Hervas A; Reynes G; Font-de-Mora J; Muñoz-Langa J; Botella C; Aparici F; Marti-Bonmati L; Garcia-Gomez JM
Curr Med Imaging Rev; 2019; 15(10):933-947. PubMed ID: 32008521
[TBL] [Abstract][Full Text] [Related]
13. Quantitative glioma grading using transformed gray-scale invariant textures of MRI.
Li-Chun Hsieh K; Chen CY; Lo CM
Comput Biol Med; 2017 Apr; 83():102-108. PubMed ID: 28254615
[TBL] [Abstract][Full Text] [Related]
14. Imaging biomarker analysis of advanced multiparametric MRI for glioma grading.
Vamvakas A; Williams SC; Theodorou K; Kapsalaki E; Fountas K; Kappas C; Vassiou K; Tsougos I
Phys Med; 2019 Apr; 60():188-198. PubMed ID: 30910431
[TBL] [Abstract][Full Text] [Related]
15. Role of MR texture analysis in histological subtyping and grading of renal cell carcinoma: a preliminary study.
Goyal A; Razik A; Kandasamy D; Seth A; Das P; Ganeshan B; Sharma R
Abdom Radiol (NY); 2019 Oct; 44(10):3336-3349. PubMed ID: 31300850
[TBL] [Abstract][Full Text] [Related]
16. Texture Analysis in Cerebral Gliomas: A Review of the Literature.
Soni N; Priya S; Bathla G
AJNR Am J Neuroradiol; 2019 Jun; 40(6):928-934. PubMed ID: 31122918
[TBL] [Abstract][Full Text] [Related]
17. Qualitative and Quantitative MRI Analysis in IDH1 Genotype Prediction of Lower-Grade Gliomas: A Machine Learning Approach.
Cao M; Suo S; Zhang X; Wang X; Xu J; Yang W; Zhou Y
Biomed Res Int; 2021; 2021():1235314. PubMed ID: 33553421
[TBL] [Abstract][Full Text] [Related]
18. MRI based texture analysis to classify low grade gliomas into astrocytoma and 1p/19q codeleted oligodendroglioma.
Zhang S; Chiang GC; Magge RS; Fine HA; Ramakrishna R; Chang EW; Pulisetty T; Wang Y; Zhu W; Kovanlikaya I
Magn Reson Imaging; 2019 Apr; 57():254-258. PubMed ID: 30465868
[TBL] [Abstract][Full Text] [Related]
19. MRI texture analysis (MRTA) of T2-weighted images in Crohn's disease may provide information on histological and MRI disease activity in patients undergoing ileal resection.
Makanyanga J; Ganeshan B; Rodriguez-Justo M; Bhatnagar G; Groves A; Halligan S; Miles K; Taylor SA
Eur Radiol; 2017 Feb; 27(2):589-597. PubMed ID: 27048528
[TBL] [Abstract][Full Text] [Related]
20. Radiomics risk score may be a potential imaging biomarker for predicting survival in isocitrate dehydrogenase wild-type lower-grade gliomas.
Park CJ; Han K; Kim H; Ahn SS; Choi YS; Park YW; Chang JH; Kim SH; Jain R; Lee SK
Eur Radiol; 2020 Dec; 30(12):6464-6474. PubMed ID: 32740813
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]