238 related articles for article (PubMed ID: 35652509)
21. Fully automated radiomics-based machine learning models for multiclass classification of single brain tumors: Glioblastoma, lymphoma, and metastasis.
Joo B; Ahn SS; An C; Han K; Choi D; Kim H; Park JE; Kim HS; Lee SK
J Neuroradiol; 2023 Jun; 50(4):388-395. PubMed ID: 36370829
[TBL] [Abstract][Full Text] [Related]
22. Prediction of High-Risk Cytogenetic Status in Multiple Myeloma Based on Magnetic Resonance Imaging: Utility of Radiomics and Comparison of Machine Learning Methods.
Liu J; Zeng P; Guo W; Wang C; Geng Y; Lang N; Yuan H
J Magn Reson Imaging; 2021 Oct; 54(4):1303-1311. PubMed ID: 33979466
[TBL] [Abstract][Full Text] [Related]
23. Radiomics-based differentiation between glioblastoma and primary central nervous system lymphoma: a comparison of diagnostic performance across different MRI sequences and machine learning techniques.
Bathla G; Priya S; Liu Y; Ward C; Le NH; Soni N; Maheshwarappa RP; Monga V; Zhang H; Sonka M
Eur Radiol; 2021 Nov; 31(11):8703-8713. PubMed ID: 33890149
[TBL] [Abstract][Full Text] [Related]
24. MRI as a diagnostic biomarker for differentiating primary central nervous system lymphoma from glioblastoma: A systematic review and meta-analysis.
Suh CH; Kim HS; Jung SC; Park JE; Choi CG; Kim SJ
J Magn Reson Imaging; 2019 Aug; 50(2):560-572. PubMed ID: 30637843
[TBL] [Abstract][Full Text] [Related]
25. Primary central nervous system lymphoma and glioblastoma differentiation based on conventional magnetic resonance imaging by high-throughput SIFT features.
Chen Y; Li Z; Wu G; Yu J; Wang Y; Lv X; Ju X; Chen Z
Int J Neurosci; 2018 Jul; 128(7):608-618. PubMed ID: 29183170
[TBL] [Abstract][Full Text] [Related]
26. Machine learning applications for the differentiation of primary central nervous system lymphoma from glioblastoma on imaging: a systematic review and meta-analysis.
Nguyen AV; Blears EE; Ross E; Lall RR; Ortega-Barnett J
Neurosurg Focus; 2018 Nov; 45(5):E5. PubMed ID: 30453459
[TBL] [Abstract][Full Text] [Related]
27. Glioblastoma and primary central nervous system lymphoma: differentiation using MRI derived first-order texture analysis - a machine learning study.
Priya S; Ward C; Locke T; Soni N; Maheshwarappa RP; Monga V; Agarwal A; Bathla G
Neuroradiol J; 2021 Aug; 34(4):320-328. PubMed ID: 33657924
[TBL] [Abstract][Full Text] [Related]
28. Differentiation of glioblastoma from solitary brain metastases using radiomic machine-learning classifiers.
Qian Z; Li Y; Wang Y; Li L; Li R; Wang K; Li S; Tang K; Zhang C; Fan X; Chen B; Li W
Cancer Lett; 2019 Jun; 451():128-135. PubMed ID: 30878526
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. Differentiation of Enhancing Glioma and Primary Central Nervous System Lymphoma by Texture-Based Machine Learning.
Alcaide-Leon P; Dufort P; Geraldo AF; Alshafai L; Maralani PJ; Spears J; Bharatha A
AJNR Am J Neuroradiol; 2017 Jun; 38(6):1145-1150. PubMed ID: 28450433
[TBL] [Abstract][Full Text] [Related]
31. Differentiation of primary central nervous system lymphoma from high-grade glioma and brain metastasis using arterial spin labeling and dynamic contrast-enhanced magnetic resonance imaging.
Xi YB; Kang XW; Wang N; Liu TT; Zhu YQ; Cheng G; Wang K; Li C; Guo F; Yin H
Eur J Radiol; 2019 Mar; 112():59-64. PubMed ID: 30777220
[TBL] [Abstract][Full Text] [Related]
32. Differentiation of high-grade glioma and primary central nervous system lymphoma: Multiparametric imaging of the enhancing tumor and peritumoral regions based on hybrid
Zhang S; Wang J; Wang K; Li X; Zhao X; Chen Q; Zhang W; Ai L
Eur J Radiol; 2022 May; 150():110235. PubMed ID: 35290912
[TBL] [Abstract][Full Text] [Related]
33. Glioblastoma and primary central nervous system lymphoma: Preoperative differentiation by using MRI-based 3D texture analysis.
Xiao DD; Yan PF; Wang YX; Osman MS; Zhao HY
Clin Neurol Neurosurg; 2018 Oct; 173():84-90. PubMed ID: 30092408
[TBL] [Abstract][Full Text] [Related]
34. Tumor-to-bone distance and radiomic features on MRI distinguish intramuscular lipomas from well-differentiated liposarcomas.
Sudjai N; Siriwanarangsun P; Lektrakul N; Saiviroonporn P; Maungsomboon S; Phimolsarnti R; Asavamongkolkul A; Chandhanayingyong C
J Orthop Surg Res; 2023 Mar; 18(1):255. PubMed ID: 36978182
[TBL] [Abstract][Full Text] [Related]
35. Contrast-enhanced T1-weighted image radiomics of brain metastases may predict EGFR mutation status in primary lung cancer.
Ahn SJ; Kwon H; Yang JJ; Park M; Cha YJ; Suh SH; Lee JM
Sci Rep; 2020 Jun; 10(1):8905. PubMed ID: 32483122
[TBL] [Abstract][Full Text] [Related]
36. Radiomics of Brain MRI: Utility in Prediction of Metastatic Tumor Type.
Kniep HC; Madesta F; Schneider T; Hanning U; Schönfeld MH; Schön G; Fiehler J; Gauer T; Werner R; Gellissen S
Radiology; 2019 Feb; 290(2):479-487. PubMed ID: 30526358
[TBL] [Abstract][Full Text] [Related]
37. Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.
Wang X; Wan Q; Chen H; Li Y; Li X
Eur Radiol; 2020 Aug; 30(8):4595-4605. PubMed ID: 32222795
[TBL] [Abstract][Full Text] [Related]
38. Diffusion radiomics as a diagnostic model for atypical manifestation of primary central nervous system lymphoma: development and multicenter external validation.
Kang D; Park JE; Kim YH; Kim JH; Oh JY; Kim J; Kim Y; Kim ST; Kim HS
Neuro Oncol; 2018 Aug; 20(9):1251-1261. PubMed ID: 29438500
[TBL] [Abstract][Full Text] [Related]
39. A machine learning model based on MRI for the preoperative prediction of bladder cancer invasion depth.
Chen G; Fan X; Wang T; Zhang E; Shao J; Chen S; Zhang D; Zhang J; Guo T; Yuan Z; Tang H; Yu Y; Chen J; Wang X
Eur Radiol; 2023 Dec; 33(12):8821-8832. PubMed ID: 37470826
[TBL] [Abstract][Full Text] [Related]
40. Radiomic Features of the Edema Region May Contribute to Grading Meningiomas With Peritumoral Edema.
Guo Z; Tian Z; Shi F; Xu P; Zhang J; Ling C; Zeng Q
J Magn Reson Imaging; 2023 Jul; 58(1):301-310. PubMed ID: 36259547
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]