BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

157 related articles for article (PubMed ID: 36988714)

  • 1. Deep learning of image-derived measures of body composition in pediatric, adolescent, and young adult lymphoma: association with late treatment effects.
    Tram NK; Chou TH; Janse SA; Bobbey AJ; Audino AN; Onofrey JA; Stacy MR
    Eur Radiol; 2023 Sep; 33(9):6599-6607. PubMed ID: 36988714
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Quantification of chemotherapy-induced changes in body composition in pediatric, adolescent, and young adult lymphoma using standard of care CT imaging.
    Tram NK; Chou TH; Ettefagh LN; Deep K; Bobbey AJ; Audino AN; Stacy MR
    Eur Radiol; 2022 Oct; 32(10):7270-7277. PubMed ID: 35947147
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prognostic value of anthropometric measures extracted from whole-body CT using deep learning in patients with non-small-cell lung cancer.
    Blanc-Durand P; Campedel L; Mule S; Jegou S; Luciani A; Pigneur F; Itti E
    Eur Radiol; 2020 Jun; 30(6):3528-3537. PubMed ID: 32055950
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference Curves.
    Magudia K; Bridge CP; Bay CP; Babic A; Fintelmann FJ; Troschel FM; Miskin N; Wrobel WC; Brais LK; Andriole KP; Wolpin BM; Rosenthal MH
    Radiology; 2021 Feb; 298(2):319-329. PubMed ID: 33231527
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Association Between Body Composition and Survival in Patients With Gastroesophageal Adenocarcinoma: An Automated Deep Learning Approach.
    Jung M; Diallo TD; Scheef T; Reisert M; Rau A; Russe MF; Bamberg F; Fichtner-Feigl S; Quante M; Weiss J
    JCO Clin Cancer Inform; 2024 Apr; 8():e2300231. PubMed ID: 38588476
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Skeletal muscle and adipose tissue changes in the first phase of treatment of pediatric solid tumors.
    Joffe L; Shen W; Shadid G; Jin Z; Ladas EJ
    Cancer Med; 2021 Jan; 10(1):15-22. PubMed ID: 33140912
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Utility of Normalized Body Composition Areas, Derived From Outpatient Abdominal CT Using a Fully Automated Deep Learning Method, for Predicting Subsequent Cardiovascular Events.
    Magudia K; Bridge CP; Bay CP; Farah S; Babic A; Fintelmann FJ; Brais LK; Andriole KP; Wolpin BM; Rosenthal MH
    AJR Am J Roentgenol; 2023 Feb; 220(2):236-244. PubMed ID: 36043607
    [No Abstract]   [Full Text] [Related]  

  • 8. Deep learning for automated segmentation of pelvic muscles, fat, and bone from CT studies for body composition assessment.
    Hemke R; Buckless CG; Tsao A; Wang B; Torriani M
    Skeletal Radiol; 2020 Mar; 49(3):387-395. PubMed ID: 31396667
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning-based fully automated body composition analysis of thigh CT: comparison with DXA measurement.
    Yoo HJ; Kim YJ; Hong H; Hong SH; Chae HD; Choi JY
    Eur Radiol; 2022 Nov; 32(11):7601-7611. PubMed ID: 35435440
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automated segmentation of whole-body CT images for body composition analysis in pediatric patients using a deep neural network.
    Lee SB; Cho YJ; Yoon SH; Lee YY; Kim SH; Lee S; Choi YH; Cheon JE
    Eur Radiol; 2022 Dec; 32(12):8463-8472. PubMed ID: 35524785
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Subcutaneous fat predicts bone metastasis in breast cancer: A novel multimodality-based deep learning model.
    Miao S; Jia H; Huang W; Cheng K; Zhou W; Wang R
    Cancer Biomark; 2024; 39(3):171-185. PubMed ID: 38043007
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Evaluating body composition by combining quantitative spectral detector computed tomography and deep learning-based image segmentation.
    Zopfs D; Bousabarah K; Lennartz S; Santos DPD; Schlaak M; Theurich S; Reimer RP; Maintz D; Haneder S; Große Hokamp N
    Eur J Radiol; 2020 Sep; 130():109153. PubMed ID: 32717577
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Clinical evaluation of automated segmentation for body composition analysis on abdominal L3 CT slices in polytrauma patients.
    Ackermans LLGC; Volmer L; Timmermans QMMA; Brecheisen R; Damink SMWO; Dekker A; Loeffen D; Poeze M; Blokhuis TJ; Wee L; Ten Bosch JA
    Injury; 2022 Nov; 53 Suppl 3():S30-S41. PubMed ID: 35680433
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep neural network for automatic volumetric segmentation of whole-body CT images for body composition assessment.
    Lee YS; Hong N; Witanto JN; Choi YR; Park J; Decazes P; Eude F; Kim CO; Chang Kim H; Goo JM; Rhee Y; Yoon SH
    Clin Nutr; 2021 Aug; 40(8):5038-5046. PubMed ID: 34365038
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automatic segmentation of large-scale CT image datasets for detailed body composition analysis.
    Ahmad N; Strand R; Sparresäter B; Tarai S; Lundström E; Bergström G; Ahlström H; Kullberg J
    BMC Bioinformatics; 2023 Sep; 24(1):346. PubMed ID: 37723444
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Fully Automated Segmentation of Connective Tissue Compartments for CT-Based Body Composition Analysis: A Deep Learning Approach.
    Nowak S; Faron A; Luetkens JA; Geißler HL; Praktiknjo M; Block W; Thomas D; Sprinkart AM
    Invest Radiol; 2020 Jun; 55(6):357-366. PubMed ID: 32369318
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Evaluation of automated computed tomography segmentation to assess body composition and mortality associations in cancer patients.
    Cespedes Feliciano EM; Popuri K; Cobzas D; Baracos VE; Beg MF; Khan AD; Ma C; Chow V; Prado CM; Xiao J; Liu V; Chen WY; Meyerhardt J; Albers KB; Caan BJ
    J Cachexia Sarcopenia Muscle; 2020 Oct; 11(5):1258-1269. PubMed ID: 32314543
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Pediatric body composition based on automatic segmentation of computed tomography scans: a pilot study.
    Samim A; Spijkers S; Moeskops P; Littooij AS; de Jong PA; Veldhuis WB; de Vos BD; van Santen HM; Nievelstein RAJ
    Pediatr Radiol; 2023 Nov; 53(12):2492-2501. PubMed ID: 37640800
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 18F-2-fluoro-2-deoxyglucose uptake in white adipose tissue on pediatric oncologic positron emission tomography (PET)/computed tomography (CT).
    Wong KK; Sedig LK; Bloom DA; Hutchinson RJ; Shulkin BL
    Pediatr Radiol; 2020 Apr; 50(4):524-533. PubMed ID: 31776602
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automated body composition analysis of clinically acquired computed tomography scans using neural networks.
    Paris MT; Tandon P; Heyland DK; Furberg H; Premji T; Low G; Mourtzakis M
    Clin Nutr; 2020 Oct; 39(10):3049-3055. PubMed ID: 32007318
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.