These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

158 related articles for article (PubMed ID: 37358938)

  • 21. Clinical Variables, Deep Learning and Radiomics Features Help Predict the Prognosis of Adult Anti-N-methyl-D-aspartate Receptor Encephalitis Early: A Two-Center Study in Southwest China.
    Xiang Y; Dong X; Zeng C; Liu J; Liu H; Hu X; Feng J; Du S; Wang J; Han Y; Luo Q; Chen S; Li Y
    Front Immunol; 2022; 13():913703. PubMed ID: 35720336
    [TBL] [Abstract][Full Text] [Related]  

  • 22. AI Evaluation of Imaging Factors in the Evolution of Stage-Treated Metastases Using Gamma Knife.
    Buzea CG; Buga R; Paun MA; Albu M; Iancu DT; Dobrovat B; Agop M; Paun VP; Eva L
    Diagnostics (Basel); 2023 Sep; 13(17):. PubMed ID: 37685391
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Deep-learning and radiomics ensemble classifier for false positive reduction in brain metastases segmentation.
    Yang Z; Chen M; Kazemimoghadam M; Ma L; Stojadinovic S; Timmerman R; Dan T; Wardak Z; Lu W; Gu X
    Phys Med Biol; 2022 Jan; 67(2):. PubMed ID: 34952535
    [TBL] [Abstract][Full Text] [Related]  

  • 24. An investigation of machine learning methods in delta-radiomics feature analysis.
    Chang Y; Lafata K; Sun W; Wang C; Chang Z; Kirkpatrick JP; Yin FF
    PLoS One; 2019; 14(12):e0226348. PubMed ID: 31834910
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction.
    Choi YS; Ahn SS; Chang JH; Kang SG; Kim EH; Kim SH; Jain R; Lee SK
    Eur Radiol; 2020 Jul; 30(7):3834-3842. PubMed ID: 32162004
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast-enhanced MRI.
    Liu C; Ding J; Spuhler K; Gao Y; Serrano Sosa M; Moriarty M; Hussain S; He X; Liang C; Huang C
    J Magn Reson Imaging; 2019 Jan; 49(1):131-140. PubMed ID: 30171822
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Predictive value of 0.35 T magnetic resonance imaging radiomic features in stereotactic ablative body radiotherapy of pancreatic cancer: A pilot study.
    Simpson G; Spieler B; Dogan N; Portelance L; Mellon EA; Kwon D; Ford JC; Yang F
    Med Phys; 2020 Aug; 47(8):3682-3690. PubMed ID: 32329904
    [TBL] [Abstract][Full Text] [Related]  

  • 28. MRI Radiomic Features to Predict IDH1 Mutation Status in Gliomas: A Machine Learning Approach using Gradient Tree Boosting.
    Sakai Y; Yang C; Kihira S; Tsankova N; Khan F; Hormigo A; Lai A; Cloughesy T; Nael K
    Int J Mol Sci; 2020 Oct; 21(21):. PubMed ID: 33121211
    [TBL] [Abstract][Full Text] [Related]  

  • 29. MRI-based delta-radiomics predicts pathologic complete response in high-grade soft-tissue sarcoma patients treated with neoadjuvant therapy.
    Peeken JC; Asadpour R; Specht K; Chen EY; Klymenko O; Akinkuoroye V; Hippe DS; Spraker MB; Schaub SK; Dapper H; Knebel C; Mayr NA; Gersing AS; Woodruff HC; Lambin P; Nyflot MJ; Combs SE
    Radiother Oncol; 2021 Nov; 164():73-82. PubMed ID: 34506832
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Preoperative MRI-Based Radiomic Machine-Learning Nomogram May Accurately Distinguish Between Benign and Malignant Soft-Tissue Lesions: A Two-Center Study.
    Wang H; Zhang J; Bao S; Liu J; Hou F; Huang Y; Chen H; Duan S; Hao D; Liu J
    J Magn Reson Imaging; 2020 Sep; 52(3):873-882. PubMed ID: 32112598
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A "Seed-and-Soil" Radiomics Model Predicts Brain Metastasis Development in Lung Cancer: Implications for Risk-Stratified Prophylactic Cranial Irradiation.
    Chu X; Gong J; Yang X; Ni J; Gu Y; Zhu Z
    Cancers (Basel); 2023 Jan; 15(1):. PubMed ID: 36612303
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Assessment of gamma knife radiosurgery for unruptured cerebral arterioveneus malformations based on multi-parameter radiomics of MRI.
    Gao D; Meng X; Jin H; Liu A; Sun S
    Magn Reson Imaging; 2022 Oct; 92():251-259. PubMed ID: 35870722
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Radiomics-Based Prediction of Long-Term Treatment Response of Vestibular Schwannomas Following Stereotactic Radiosurgery.
    Langenhuizen PPJH; Zinger S; Leenstra S; Kunst HPM; Mulder JJS; Hanssens PEJ; de With PHN; Verheul JB
    Otol Neurotol; 2020 Dec; 41(10):e1321-e1327. PubMed ID: 33492808
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Multiparametric radiomic tissue signature and machine learning for distinguishing radiation necrosis from tumor progression after stereotactic radiosurgery.
    Chen X; Parekh VS; Peng L; Chan MD; Redmond KJ; Soike M; McTyre E; Lin D; Jacobs MA; Kleinberg LR
    Neurooncol Adv; 2021; 3(1):vdab150. PubMed ID: 34901857
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Radiomic nomogram based on MRI to predict grade of branching type intraductal papillary mucinous neoplasms of the pancreas: a multicenter study.
    Cui S; Tang T; Su Q; Wang Y; Shu Z; Yang W; Gong X
    Cancer Imaging; 2021 Mar; 21(1):26. PubMed ID: 33750453
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Radiomics outperforms semantic features for prediction of response to stereotactic radiosurgery in brain metastases.
    Gutsche R; Lohmann P; Hoevels M; Ruess D; Galldiks N; Visser-Vandewalle V; Treuer H; Ruge M; Kocher M
    Radiother Oncol; 2022 Jan; 166():37-43. PubMed ID: 34801629
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Radiomics and nomogram of magnetic resonance imaging for preoperative prediction of microvascular invasion in small hepatocellular carcinoma.
    Chen YD; Zhang L; Zhou ZP; Lin B; Jiang ZJ; Tang C; Dang YW; Xia YW; Song B; Long LL
    World J Gastroenterol; 2022 Aug; 28(31):4399-4416. PubMed ID: 36159011
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Exploratory Radiomic Analysis of Conventional vs. Quantitative Brain MRI: Toward Automatic Diagnosis of Early Multiple Sclerosis.
    Lavrova E; Lommers E; Woodruff HC; Chatterjee A; Maquet P; Salmon E; Lambin P; Phillips C
    Front Neurosci; 2021; 15():679941. PubMed ID: 34421515
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Magnetic Resonance Imaging Radiomics-Based Machine Learning Prediction of Clinically Significant Prostate Cancer in Equivocal PI-RADS 3 Lesions.
    Hectors SJ; Chen C; Chen J; Wang J; Gordon S; Yu M; Al Hussein Al Awamlh B; Sabuncu MR; Margolis DJA; Hu JC
    J Magn Reson Imaging; 2021 Nov; 54(5):1466-1473. PubMed ID: 33970516
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Value of the Application of CE-MRI Radiomics and Machine Learning in Preoperative Prediction of Sentinel Lymph Node Metastasis in Breast Cancer.
    Zhu Y; Yang L; Shen H
    Front Oncol; 2021; 11():757111. PubMed ID: 34868967
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.