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 *

220 related articles for article (PubMed ID: 30609058)

  • 1. Body region localization in whole-body low-dose CT images of PET/CT scans using virtual landmarks.
    Bai P; Udupa JK; Tong Y; Xie S; Torigian DA
    Med Phys; 2019 Mar; 46(3):1286-1299. PubMed ID: 30609058
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automatic thoracic body region localization.
    Bai P; Udupa JK; Tong Y; Xie S; Torigian DA
    Proc SPIE Int Soc Opt Eng; 2017 Feb; 10134():. PubMed ID: 30158738
    [TBL] [Abstract][Full Text] [Related]  

  • 3. BRR-Net: A tandem architectural CNN-RNN for automatic body region localization in CT images.
    Agrawal V; Udupa J; Tong Y; Torigian D
    Med Phys; 2020 Oct; 47(10):5020-5031. PubMed ID: 32761899
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automatic anatomy recognition in whole-body PET/CT images.
    Wang H; Udupa JK; Odhner D; Tong Y; Zhao L; Torigian DA
    Med Phys; 2016 Jan; 43(1):613. PubMed ID: 26745953
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Quantification of body-torso-wide tissue composition on low-dose CT images via automatic anatomy recognition.
    Liu T; Udupa JK; Miao Q; Tong Y; Torigian DA
    Med Phys; 2019 Mar; 46(3):1272-1285. PubMed ID: 30614020
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Body-wide hierarchical fuzzy modeling, recognition, and delineation of anatomy in medical images.
    Udupa JK; Odhner D; Zhao L; Tong Y; Matsumoto MM; Ciesielski KC; Falcao AX; Vaideeswaran P; Ciesielski V; Saboury B; Mohammadianrasanani S; Sin S; Arens R; Torigian DA
    Med Image Anal; 2014 Jul; 18(5):752-71. PubMed ID: 24835182
    [TBL] [Abstract][Full Text] [Related]  

  • 7. More advantages in detecting bone and soft tissue metastases from prostate cancer using
    Pianou NK; Stavrou PZ; Vlontzou E; Rondogianni P; Exarhos DN; Datseris IE
    Hell J Nucl Med; 2019; 22(1):6-9. PubMed ID: 30843003
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Virtual Landmarks.
    Tong Y; Udupa JK; Odhner D; Bai P; Torigian DA
    Proc SPIE Int Soc Opt Eng; 2017 Feb; 10135():. PubMed ID: 30158739
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automatic segmentation of thoracic and pelvic CT images for radiotherapy planning using implicit anatomic knowledge and organ-specific segmentation strategies.
    Haas B; Coradi T; Scholz M; Kunz P; Huber M; Oppitz U; André L; Lengkeek V; Huyskens D; van Esch A; Reddick R
    Phys Med Biol; 2008 Mar; 53(6):1751-71. PubMed ID: 18367801
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep-JASC: joint attenuation and scatter correction in whole-body
    Shiri I; Arabi H; Geramifar P; Hajianfar G; Ghafarian P; Rahmim A; Ay MR; Zaidi H
    Eur J Nucl Med Mol Imaging; 2020 Oct; 47(11):2533-2548. PubMed ID: 32415552
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Automatic Anatomy Recognition using Neural Network Learning of Object Relationships via Virtual Landmarks.
    Yan F; Udupa JK; Tong Y; Xu G; Odhner D; Torigian DA
    Proc SPIE Int Soc Opt Eng; 2018 Feb; 10574():. PubMed ID: 30190628
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Whole-body tumor segmentation from PET/CT images using a two-stage cascaded neural network with camouflaged object detection mechanisms.
    He J; Zhang Y; Chung M; Wang M; Wang K; Ma Y; Ding X; Li Q; Pu Y
    Med Phys; 2023 Oct; 50(10):6151-6162. PubMed ID: 37134002
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Disease quantification on PET/CT images without explicit object delineation.
    Tong Y; Udupa JK; Odhner D; Wu C; Schuster SJ; Torigian DA
    Med Image Anal; 2019 Jan; 51():169-183. PubMed ID: 30453165
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Landmark constellation models for medical image content identification and localization.
    Hansis E; Lorenz C
    Int J Comput Assist Radiol Surg; 2016 Jul; 11(7):1285-95. PubMed ID: 26662202
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Object recognition in medical images via anatomy-guided deep learning.
    Jin C; Udupa JK; Zhao L; Tong Y; Odhner D; Pednekar G; Nag S; Lewis S; Poole N; Mannikeri S; Govindasamy S; Singh A; Camaratta J; Owens S; Torigian DA
    Med Image Anal; 2022 Oct; 81():102527. PubMed ID: 35830745
    [TBL] [Abstract][Full Text] [Related]  

  • 17. SOMA: Subject-, object-, and modality-adapted precision atlas approach for automatic anatomy recognition and delineation in medical images.
    Li J; Udupa JK; Odhner D; Tong Y; Torigian DA
    Med Phys; 2021 Dec; 48(12):7806-7825. PubMed ID: 34668207
    [TBL] [Abstract][Full Text] [Related]  

  • 18. LinSEM: Linearizing segmentation evaluation metrics for medical images.
    Li J; Udupa JK; Tong Y; Wang L; Torigian DA
    Med Image Anal; 2020 Feb; 60():101601. PubMed ID: 31811980
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An artificial intelligence-driven image quality assessment system for whole-body [
    Qi C; Wang S; Yu H; Zhang Y; Hu P; Tan H; Shi Y; Shi H
    Eur J Nucl Med Mol Imaging; 2023 Apr; 50(5):1318-1328. PubMed ID: 36529840
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic thoracic anatomy segmentation on CT images using hierarchical fuzzy models and registration.
    Sun K; Udupa JK; Odhner D; Tong Y; Zhao L; Torigian DA
    Med Phys; 2016 Mar; 43(3):1487-500. PubMed ID: 26936732
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.