205 related articles for article (PubMed ID: 30418680)
21. Corpus callosum involvement and postoperative outcomes of patients with gliomas.
Chen KT; Wu TW; Chuang CC; Hsu YH; Hsu PW; Huang YC; Lin TK; Chang CN; Lee ST; Wu CT; Tseng CK; Wang CC; Pai PC; Wei KC; Chen PY
J Neurooncol; 2015 Sep; 124(2):207-14. PubMed ID: 26033546
[TBL] [Abstract][Full Text] [Related]
22. MBR-SIFT: A mirror reflected invariant feature descriptor using a binary representation for image matching.
Su M; Ma Y; Zhang X; Wang Y; Zhang Y
PLoS One; 2017; 12(5):e0178090. PubMed ID: 28542537
[TBL] [Abstract][Full Text] [Related]
23. Rough set feature selection and rule induction for prediction of malignancy degree in brain glioma.
Wang X; Yang J; Jensen R; Liu X
Comput Methods Programs Biomed; 2006 Aug; 83(2):147-56. PubMed ID: 16893588
[TBL] [Abstract][Full Text] [Related]
24. Comparison of PET and CT radiomics for prediction of local tumor control in head and neck squamous cell carcinoma.
Bogowicz M; Riesterer O; Stark LS; Studer G; Unkelbach J; Guckenberger M; Tanadini-Lang S
Acta Oncol; 2017 Nov; 56(11):1531-1536. PubMed ID: 28820287
[TBL] [Abstract][Full Text] [Related]
25. A pilot study of bevacizumab-based therapy in patients with newly diagnosed high-grade gliomas and diffuse intrinsic pontine gliomas.
Hummel TR; Salloum R; Drissi R; Kumar S; Sobo M; Goldman S; Pai A; Leach J; Lane A; Pruitt D; Sutton M; Chow LM; Grimme L; Doughman R; Backus L; Miles L; Stevenson C; Fouladi M; DeWire M
J Neurooncol; 2016 Mar; 127(1):53-61. PubMed ID: 26626490
[TBL] [Abstract][Full Text] [Related]
26. One-slice CT image based kernelized radiomics model for the prediction of low/mid-grade and high-grade HNSCC.
Ye J; Luo J; Xu S; Wu W
Comput Med Imaging Graph; 2020 Mar; 80():101675. PubMed ID: 31945637
[TBL] [Abstract][Full Text] [Related]
27. Comparison of
Verger A; Filss CP; Lohmann P; Stoffels G; Sabel M; Wittsack HJ; Kops ER; Galldiks N; Fink GR; Shah NJ; Langen KJ
Eur J Nucl Med Mol Imaging; 2017 Dec; 44(13):2257-2265. PubMed ID: 28831534
[TBL] [Abstract][Full Text] [Related]
28. Edge-SIFT: discriminative binary descriptor for scalable partial-duplicate mobile search.
Zhang S; Tian Q; Lu K; Huang Q; Gao W
IEEE Trans Image Process; 2013 Jul; 22(7):2889-902. PubMed ID: 23481859
[TBL] [Abstract][Full Text] [Related]
29. Automated discrimination of lower and higher grade gliomas based on histopathological image analysis.
Mousavi HS; Monga V; Rao G; Rao AU
J Pathol Inform; 2015; 6():15. PubMed ID: 25838967
[TBL] [Abstract][Full Text] [Related]
30. Early prediction of radiotherapy-induced parotid shrinkage and toxicity based on CT radiomics and fuzzy classification.
Pota M; Scalco E; Sanguineti G; Farneti A; Cattaneo GM; Rizzo G; Esposito M
Artif Intell Med; 2017 Sep; 81():41-53. PubMed ID: 28325604
[TBL] [Abstract][Full Text] [Related]
31. Radiomics derived from amino-acid PET and conventional MRI in patients with high-grade gliomas.
Lohmann P; Kocher M; Steger J; Galldiks N
Q J Nucl Med Mol Imaging; 2018 Sep; 62(3):272-280. PubMed ID: 29869488
[TBL] [Abstract][Full Text] [Related]
32. Robust Pedestrian Classification Based on Hierarchical Kernel Sparse Representation.
Sun R; Zhang G; Yan X; Gao J
Sensors (Basel); 2016 Aug; 16(8):. PubMed ID: 27537888
[TBL] [Abstract][Full Text] [Related]
33. Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading.
Cheng J; Gao M; Liu J; Yue H; Kuang H; Liu J; Wang J
IEEE J Biomed Health Inform; 2022 Feb; 26(2):673-684. PubMed ID: 34236971
[TBL] [Abstract][Full Text] [Related]
34. 3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients.
Nie D; Zhang H; Adeli E; Liu L; Shen D
Med Image Comput Comput Assist Interv; 2016 Oct; 9901():212-220. PubMed ID: 28149967
[TBL] [Abstract][Full Text] [Related]
35. Protein fold recognition based on sparse representation based classification.
Yan K; Xu Y; Fang X; Zheng C; Liu B
Artif Intell Med; 2017 Jun; 79():1-8. PubMed ID: 28359635
[TBL] [Abstract][Full Text] [Related]
36. Robust auto-weighted projective low-rank and sparse recovery for visual representation.
Wang L; Wang B; Zhang Z; Ye Q; Fu L; Liu G; Wang M
Neural Netw; 2019 Sep; 117():201-215. PubMed ID: 31174048
[TBL] [Abstract][Full Text] [Related]
37. Association between small heat shock protein B11 and the prognostic value of MGMT promoter methylation in patients with high-grade glioma.
Cheng W; Li M; Jiang Y; Zhang C; Cai J; Wang K; Wu A
J Neurosurg; 2016 Jul; 125(1):7-16. PubMed ID: 26544773
[TBL] [Abstract][Full Text] [Related]
38. Positron emission tomography-guided volumetric resection of supratentorial high-grade gliomas: a survival analysis in 66 consecutive patients.
Pirotte BJ; Levivier M; Goldman S; Massager N; Wikler D; Dewitte O; Bruneau M; Rorive S; David P; Brotchi J
Neurosurgery; 2009 Mar; 64(3):471-81; discussion 481. PubMed ID: 19240609
[TBL] [Abstract][Full Text] [Related]
39. Prognostic value of preoperative dynamic contrast-enhanced MRI perfusion parameters for high-grade glioma patients.
Ulyte A; Katsaros VK; Liouta E; Stranjalis G; Boskos C; Papanikolaou N; Usinskiene J; Bisdas S
Neuroradiology; 2016 Dec; 58(12):1197-1208. PubMed ID: 27796446
[TBL] [Abstract][Full Text] [Related]
40. Sparse representation with kernels.
Gao S; Tsang IW; Chia LT
IEEE Trans Image Process; 2013 Feb; 22(2):423-34. PubMed ID: 23014744
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]