BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

207 related articles for article (PubMed ID: 37747582)

  • 1. Imaging biomarkers and radiomics in pediatric oncology: a view from the PRIMAGE (PRedictive In silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers) project.
    Veiga-Canuto D; Cerdá Alberich L; Fernández-Patón M; Jiménez Pastor A; Lozano-Montoya J; Miguel Blanco A; Martínez de Las Heras B; Sangüesa Nebot C; ; Martí-Bonmatí L
    Pediatr Radiol; 2024 Apr; 54(4):562-570. PubMed ID: 37747582
    [TBL] [Abstract][Full Text] [Related]  

  • 2. PRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkers.
    Martí-Bonmatí L; Alberich-Bayarri Á; Ladenstein R; Blanquer I; Segrelles JD; Cerdá-Alberich L; Gkontra P; Hero B; García-Aznar JM; Keim D; Jentner W; Seymour K; Jiménez-Pastor A; González-Valverde I; Martínez de Las Heras B; Essiaf S; Walker D; Rochette M; Bubak M; Mestres J; Viceconti M; Martí-Besa G; Cañete A; Richmond P; Wertheim KY; Gubala T; Kasztelnik M; Meizner J; Nowakowski P; Gilpérez S; Suárez A; Aznar M; Restante G; Neri E
    Eur Radiol Exp; 2020 Apr; 4(1):22. PubMed ID: 32246291
    [TBL] [Abstract][Full Text] [Related]  

  • 3. CHAIMELEON Project: Creation of a Pan-European Repository of Health Imaging Data for the Development of AI-Powered Cancer Management Tools.
    Bonmatí LM; Miguel A; Suárez A; Aznar M; Beregi JP; Fournier L; Neri E; Laghi A; França M; Sardanelli F; Penzkofer T; Lambin P; Blanquer I; Menzel MI; Seymour K; Figueiras S; Krischak K; Martínez R; Mirsky Y; Yang G; Alberich-Bayarri Á
    Front Oncol; 2022; 12():742701. PubMed ID: 35280732
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Clinical implementation of artificial intelligence in neuroradiology with development of a novel workflow-efficient picture archiving and communication system-based automated brain tumor segmentation and radiomic feature extraction.
    Aboian M; Bousabarah K; Kazarian E; Zeevi T; Holler W; Merkaj S; Cassinelli Petersen G; Bahar R; Subramanian H; Sunku P; Schrickel E; Bhawnani J; Zawalich M; Mahajan A; Malhotra A; Payabvash S; Tocino I; Lin M; Westerhoff M
    Front Neurosci; 2022; 16():860208. PubMed ID: 36312024
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Independent Validation of a Deep Learning nnU-Net Tool for Neuroblastoma Detection and Segmentation in MR Images.
    Veiga-Canuto D; Cerdà-Alberich L; Jiménez-Pastor A; Carot Sierra JM; Gomis-Maya A; Sangüesa-Nebot C; Fernández-Patón M; Martínez de Las Heras B; Taschner-Mandl S; Düster V; Pötschger U; Simon T; Neri E; Alberich-Bayarri Á; Cañete A; Hero B; Ladenstein R; Martí-Bonmatí L
    Cancers (Basel); 2023 Mar; 15(5):. PubMed ID: 36900410
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Uses and limitations of artificial intelligence for oncology.
    Kolla L; Parikh RB
    Cancer; 2024 Jun; 130(12):2101-2107. PubMed ID: 38554271
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Lung cancer multi-omics digital human avatars for integrating precision medicine into clinical practice: the LANTERN study.
    Lococo F; Boldrini L; Diepriye CD; Evangelista J; Nero C; Flamini S; Minucci A; De Paolis E; Vita E; Cesario A; Annunziata S; Calcagni ML; Chiappetta M; Cancellieri A; Larici AR; Cicchetti G; Troost EGC; Ádány R; Farré N; Öztürk E; Van Doorne D; Leoncini F; Urbani A; Trisolini R; Bria E; Giordano A; Rindi G; Sala E; Tortora G; Valentini V; Boccia S; Margaritora S; Scambia G
    BMC Cancer; 2023 Jun; 23(1):540. PubMed ID: 37312079
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radiomics in neuro-oncology: Basics, workflow, and applications.
    Lohmann P; Galldiks N; Kocher M; Heinzel A; Filss CP; Stegmayr C; Mottaghy FM; Fink GR; Jon Shah N; Langen KJ
    Methods; 2021 Apr; 188():112-121. PubMed ID: 32522530
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Research on texture images and radiomics in urology: a review of urological MR imaging applications.
    Valeri A; Nguyen TA
    Curr Opin Urol; 2023 Nov; 33(6):428-436. PubMed ID: 37727910
    [TBL] [Abstract][Full Text] [Related]  

  • 10. QuantImage v2: a comprehensive and integrated physician-centered cloud platform for radiomics and machine learning research.
    Abler D; Schaer R; Oreiller V; Verma H; Reichenbach J; Aidonopoulos O; Evéquoz F; Jreige M; Prior JO; Depeursinge A
    Eur Radiol Exp; 2023 Mar; 7(1):16. PubMed ID: 36947346
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Artificial intelligence and hybrid imaging: the best match for personalized medicine in oncology.
    Sollini M; Bartoli F; Marciano A; Zanca R; Slart RHJA; Erba PA
    Eur J Hybrid Imaging; 2020 Dec; 4(1):24. PubMed ID: 34191197
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automated Classification of Lung Cancer Subtypes Using Deep Learning and CT-Scan Based Radiomic Analysis.
    Dunn B; Pierobon M; Wei Q
    Bioengineering (Basel); 2023 Jun; 10(6):. PubMed ID: 37370621
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The International Radiomics Platform - An Initiative of the German and Austrian Radiological Societies - First Application Examples.
    Overhoff D; Kohlmann P; Frydrychowicz A; Gatidis S; Loewe C; Moltz J; Kuhnigk JM; Gutberlet M; Winter H; Völker M; Hahn H; Schoenberg SO; ; ;
    Rofo; 2021 Mar; 193(3):276-288. PubMed ID: 33242898
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Radiomics Applications in Head and Neck Tumor Imaging: A Narrative Review.
    Tortora M; Gemini L; Scaravilli A; Ugga L; Ponsiglione A; Stanzione A; D'Arco F; D'Anna G; Cuocolo R
    Cancers (Basel); 2023 Feb; 15(4):. PubMed ID: 36831517
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study.
    Kickingereder P; Isensee F; Tursunova I; Petersen J; Neuberger U; Bonekamp D; Brugnara G; Schell M; Kessler T; Foltyn M; Harting I; Sahm F; Prager M; Nowosielski M; Wick A; Nolden M; Radbruch A; Debus J; Schlemmer HP; Heiland S; Platten M; von Deimling A; van den Bent MJ; Gorlia T; Wick W; Bendszus M; Maier-Hein KH
    Lancet Oncol; 2019 May; 20(5):728-740. PubMed ID: 30952559
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation.
    Ottom MA; Rahman HA; Dinov ID
    IEEE J Transl Eng Health Med; 2022; 10():1800508. PubMed ID: 35774412
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Reinventing radiation therapy with machine learning and imaging bio-markers (radiomics): State-of-the-art, challenges and perspectives.
    Dercle L; Henry T; Carré A; Paragios N; Deutsch E; Robert C
    Methods; 2021 Apr; 188():44-60. PubMed ID: 32697964
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer.
    Lin YC; Lin CH; Lu HY; Chiang HJ; Wang HK; Huang YT; Ng SH; Hong JH; Yen TC; Lai CH; Lin G
    Eur Radiol; 2020 Mar; 30(3):1297-1305. PubMed ID: 31712961
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Artificial intelligence for automatic cerebral ventricle segmentation and volume calculation: a clinical tool for the evaluation of pediatric hydrocephalus.
    Quon JL; Han M; Kim LH; Koran ME; Chen LC; Lee EH; Wright J; Ramaswamy V; Lober RM; Taylor MD; Grant GA; Cheshier SH; Kestle JRW; Edwards MSB; Yeom KW
    J Neurosurg Pediatr; 2020 Dec; 27(2):131-138. PubMed ID: 33260138
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Radiomics in radiation oncology-basics, methods, and limitations.
    Lohmann P; Bousabarah K; Hoevels M; Treuer H
    Strahlenther Onkol; 2020 Oct; 196(10):848-855. PubMed ID: 32647917
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.