187 related articles for article (PubMed ID: 37133981)
1. Machine learning predicts histologic type and grade of canine gliomas based on MRI texture analysis.
Barge P; Oevermann A; Maiolini A; Durand A
Vet Radiol Ultrasound; 2023 Jul; 64(4):724-732. PubMed ID: 37133981
[TBL] [Abstract][Full Text] [Related]
2. Canine intracranial gliomas: relationship between magnetic resonance imaging criteria and tumor type and grade.
Bentley RT; Ober CP; Anderson KL; Feeney DA; Naughton JF; Ohlfest JR; O'Sullivan MG; Miller MA; Constable PD; Pluhar GE
Vet J; 2013 Nov; 198(2):463-71. PubMed ID: 24051197
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Glioma grading using a machine-learning framework based on optimized features obtained from T
Sengupta A; Ramaniharan AK; Gupta RK; Agarwal S; Singh A
J Magn Reson Imaging; 2019 Oct; 50(4):1295-1306. PubMed ID: 30895704
[TBL] [Abstract][Full Text] [Related]
5. A methodological approach for deep learning to distinguish between meningiomas and gliomas on canine MR-images.
Banzato T; Bernardini M; Cherubini GB; Zotti A
BMC Vet Res; 2018 Oct; 14(1):317. PubMed ID: 30348148
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Machine learning-based quantitative texture analysis of conventional MRI combined with ADC maps for assessment of IDH1 mutation in high-grade gliomas.
Alis D; Bagcilar O; Senli YD; Yergin M; Isler C; Kocer N; Islak C; Kizilkilic O
Jpn J Radiol; 2020 Feb; 38(2):135-143. PubMed ID: 31741126
[TBL] [Abstract][Full Text] [Related]
8. On differentiation between vasogenic edema and non-enhancing tumor in high-grade glioma patients using a support vector machine classifier based upon pre and post-surgery MRI images.
Sengupta A; Agarwal S; Gupta PK; Ahlawat S; Patir R; Gupta RK; Singh A
Eur J Radiol; 2018 Sep; 106():199-208. PubMed ID: 30150045
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Texture analysis of magnetic resonance images to predict histologic grade of meningiomas in dogs.
Banzato T; Bernardini M; Cherubini GB; Zotti A
Am J Vet Res; 2017 Oct; 78(10):1156-1162. PubMed ID: 28945125
[TBL] [Abstract][Full Text] [Related]
11. The T2-FLAIR mismatch sign as an imaging biomarker for oligodendrogliomas in dogs.
Garcia-Mora J; Parker RL; Cecere T; Robertson JL; Rossmeisl JH
J Vet Intern Med; 2023; 37(4):1447-1454. PubMed ID: 37246729
[TBL] [Abstract][Full Text] [Related]
12. Can MRI differentiate between ring-enhancing gliomas and intra-axial abscesses?
Carloni A; Bernardini M; Mattei C; De Magistris AV; Llabres-Diaz F; Williams J; Gutierrez-Quintana R; Oevermann A; Schweizer-Gorgas D; Finck C; Masseau I; Lorenzo V; Sabatini A; Contiero B; Specchi S
Vet Radiol Ultrasound; 2022 Sep; 63(5):563-572. PubMed ID: 35509117
[TBL] [Abstract][Full Text] [Related]
13. Diffusion- and perfusion-weighted MRI radiomics model may predict isocitrate dehydrogenase (IDH) mutation and tumor aggressiveness in diffuse lower grade glioma.
Kim M; Jung SY; Park JE; Jo Y; Park SY; Nam SJ; Kim JH; Kim HS
Eur Radiol; 2020 Apr; 30(4):2142-2151. PubMed ID: 31828414
[TBL] [Abstract][Full Text] [Related]
14. Radiogenomics of lower-grade gliomas: machine learning-based MRI texture analysis for predicting 1p/19q codeletion status.
Kocak B; Durmaz ES; Ates E; Sel I; Turgut Gunes S; Kaya OK; Zeynalova A; Kilickesmez O
Eur Radiol; 2020 Feb; 30(2):877-886. PubMed ID: 31691122
[TBL] [Abstract][Full Text] [Related]
15. Voxel-based clustered imaging by multiparameter diffusion tensor images for glioma grading.
Inano R; Oishi N; Kunieda T; Arakawa Y; Yamao Y; Shibata S; Kikuchi T; Fukuyama H; Miyamoto S
Neuroimage Clin; 2014; 5():396-407. PubMed ID: 25180159
[TBL] [Abstract][Full Text] [Related]
16. Machine-Learning-Based Radiomics for Classifying Glioma Grade from Magnetic Resonance Images of the Brain.
Kumar A; Jha AK; Agarwal JP; Yadav M; Badhe S; Sahay A; Epari S; Sahu A; Bhattacharya K; Chatterjee A; Ganeshan B; Rangarajan V; Moyiadi A; Gupta T; Goda JS
J Pers Med; 2023 May; 13(6):. PubMed ID: 37373909
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. The diagnostic value of quantitative texture analysis of conventional MRI sequences using artificial neural networks in grading gliomas.
Alis D; Bagcilar O; Senli YD; Isler C; Yergin M; Kocer N; Islak C; Kizilkilic O
Clin Radiol; 2020 May; 75(5):351-357. PubMed ID: 31973941
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Clinical features, diagnosis, and survival analysis of dogs with glioma.
José-López R; Gutierrez-Quintana R; de la Fuente C; Manzanilla EG; Suñol A; Pi Castro D; Añor S; Sánchez-Masian D; Fernández-Flores F; Ricci E; Marioni-Henry K; Mascort J; Matiasek LA; Matiasek K; Brennan PM; Pumarola M
J Vet Intern Med; 2021 Jul; 35(4):1902-1917. PubMed ID: 34117807
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]