BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

146 related articles for article (PubMed ID: 29021990)

  • 1. Discovery radiomics via evolutionary deep radiomic sequencer discovery for pathologically proven lung cancer detection.
    Shafiee MJ; Chung AG; Khalvati F; Haider MA; Wong A
    J Med Imaging (Bellingham); 2017 Oct; 4(4):041305. PubMed ID: 29021990
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing.
    Dulhanty C; Wang L; Cheng M; Gunraj H; Khalvati F; Haider MA; Wong A
    Sensors (Basel); 2020 Mar; 20(5):. PubMed ID: 32164378
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The deep radiomic analytics pipeline.
    Currie G; Rohren E
    Vet Radiol Ultrasound; 2022 Dec; 63 Suppl 1():889-896. PubMed ID: 36468301
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Combining Hepatic and Splenic CT Radiomic Features Improves Radiomic Analysis Performance for Liver Fibrosis Staging.
    Yin Y; Yakar D; Dierckx RAJO; Mouridsen KB; Kwee TC; de Haas RJ
    Diagnostics (Basel); 2022 Feb; 12(2):. PubMed ID: 35204639
    [No Abstract]   [Full Text] [Related]  

  • 5. Radiomics and artificial intelligence in lung cancer screening.
    Binczyk F; Prazuch W; Bozek P; Polanska J
    Transl Lung Cancer Res; 2021 Feb; 10(2):1186-1199. PubMed ID: 33718055
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The transformational potential of molecular radiomics.
    Currie G; Hawk KE; Rohren E
    J Med Radiat Sci; 2023 Apr; 70 Suppl 2(Suppl 2):77-88. PubMed ID: 36238997
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep Learning-based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses.
    Choe J; Lee SM; Do KH; Lee G; Lee JG; Lee SM; Seo JB
    Radiology; 2019 Aug; 292(2):365-373. PubMed ID: 31210613
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radiomics in Lung Diseases Imaging: State-of-the-Art for Clinicians.
    Frix AN; Cousin F; Refaee T; Bottari F; Vaidyanathan A; Desir C; Vos W; Walsh S; Occhipinti M; Lovinfosse P; Leijenaar RTH; Hustinx R; Meunier P; Louis R; Lambin P; Guiot J
    J Pers Med; 2021 Jun; 11(7):. PubMed ID: 34202096
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Can peritumoral radiomics increase the efficiency of the prediction for lymph node metastasis in clinical stage T1 lung adenocarcinoma on CT?
    Wang X; Zhao X; Li Q; Xia W; Peng Z; Zhang R; Li Q; Jian J; Wang W; Tang Y; Liu S; Gao X
    Eur Radiol; 2019 Nov; 29(11):6049-6058. PubMed ID: 30887209
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting malignant potential of subsolid nodules: can radiomics preempt longitudinal follow up CT?
    Digumarthy SR; Padole AM; Rastogi S; Price M; Mooradian MJ; Sequist LV; Kalra MK
    Cancer Imaging; 2019 Jun; 19(1):36. PubMed ID: 31182167
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Interchangeability of radiomic features between [18F]-FDG PET/CT and [18F]-FDG PET/MR.
    Vuong D; Tanadini-Lang S; Huellner MW; Veit-Haibach P; Unkelbach J; Andratschke N; Kraft J; Guckenberger M; Bogowicz M
    Med Phys; 2019 Apr; 46(4):1677-1685. PubMed ID: 30714158
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development and Validation of a Deep Learning Radiomics Model Predicting Lymph Node Status in Operable Cervical Cancer.
    Dong T; Yang C; Cui B; Zhang T; Sun X; Song K; Wang L; Kong B; Yang X
    Front Oncol; 2020; 10():464. PubMed ID: 32373511
    [No Abstract]   [Full Text] [Related]  

  • 13. Synergies of Radiomics and Transcriptomics in Lung Cancer Diagnosis: A Pilot Study.
    Dovrou A; Bei E; Sfakianakis S; Marias K; Papanikolaou N; Zervakis M
    Diagnostics (Basel); 2023 Feb; 13(4):. PubMed ID: 36832225
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep learning for patient-specific quality assurance: Identifying errors in radiotherapy delivery by radiomic analysis of gamma images with convolutional neural networks.
    Nyflot MJ; Thammasorn P; Wootton LS; Ford EC; Chaovalitwongse WA
    Med Phys; 2019 Feb; 46(2):456-464. PubMed ID: 30548601
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Survival prediction of non-small cell lung cancer patients using radiomics analyses of cone-beam CT images.
    van Timmeren JE; Leijenaar RTH; van Elmpt W; Reymen B; Oberije C; Monshouwer R; Bussink J; Brink C; Hansen O; Lambin P
    Radiother Oncol; 2017 Jun; 123(3):363-369. PubMed ID: 28506693
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comparison of a radiomic biomarker with volumetric analysis for decoding tumour phenotypes of lung adenocarcinoma with different disease-specific survival.
    Yuan M; Zhang YD; Pu XH; Zhong Y; Li H; Wu JF; Yu TF
    Eur Radiol; 2017 Nov; 27(11):4857-4865. PubMed ID: 28523350
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study.
    Sun R; Limkin EJ; Vakalopoulou M; Dercle L; Champiat S; Han SR; Verlingue L; Brandao D; Lancia A; Ammari S; Hollebecque A; Scoazec JY; Marabelle A; Massard C; Soria JC; Robert C; Paragios N; Deutsch E; Ferté C
    Lancet Oncol; 2018 Sep; 19(9):1180-1191. PubMed ID: 30120041
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Analysis of heterogeneity of peritumoral T2 hyperintensity in patients with pretreatment glioblastoma: Prognostic value of MRI-based radiomics.
    Choi Y; Ahn KJ; Nam Y; Jang J; Shin NY; Choi HS; Jung SL; Kim BS
    Eur J Radiol; 2019 Nov; 120():108642. PubMed ID: 31546124
    [TBL] [Abstract][Full Text] [Related]  

  • 19. CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma.
    Coroller TP; Grossmann P; Hou Y; Rios Velazquez E; Leijenaar RT; Hermann G; Lambin P; Haibe-Kains B; Mak RH; Aerts HJ
    Radiother Oncol; 2015 Mar; 114(3):345-50. PubMed ID: 25746350
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of malignant and benign of lung tumor using a quantitative radiomic method.
    Jun Wang ; Xia Liu ; Di Dong ; Jiangdian Song ; Min Xu ; Yali Zang ; Jie Tian
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():1272-1275. PubMed ID: 28268557
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.