BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

157 related articles for article (PubMed ID: 38360049)

  • 21. Development of scalable lymphatic system in the 4D XCAT phantom: Application to quantitative evaluation of lymphoma PET segmentations.
    Fedrigo R; Segars WP; Martineau P; Gowdy C; Bloise I; Uribe CF; Rahmim A
    Med Phys; 2022 Nov; 49(11):6871-6884. PubMed ID: 36053829
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Deep learning-based tumour segmentation and total metabolic tumour volume prediction in the prognosis of diffuse large B-cell lymphoma patients in 3D FDG-PET images.
    Jiang C; Chen K; Teng Y; Ding C; Zhou Z; Gao Y; Wu J; He J; He K; Zhang J
    Eur Radiol; 2022 Jul; 32(7):4801-4812. PubMed ID: 35166895
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Rapid Contour-based Segmentation for
    Besson FL; Henry T; Meyer C; Chevance V; Roblot V; Blanchet E; Arnould V; Grimon G; Chekroun M; Mabille L; Parent F; Seferian A; Bulifon S; Montani D; Humbert M; Chaumet-Riffaud P; Lebon V; Durand E
    Radiology; 2018 Jul; 288(1):277-284. PubMed ID: 29613842
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A novel fuzzy C-means algorithm for unsupervised heterogeneous tumor quantification in PET.
    Belhassen S; Zaidi H
    Med Phys; 2010 Mar; 37(3):1309-24. PubMed ID: 20384268
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Deep learning generation of preclinical positron emission tomography (PET) images from low-count PET with task-based performance assessment.
    Dutta K; Laforest R; Luo J; Jha AK; Shoghi KI
    Med Phys; 2024 May; ():. PubMed ID: 38710222
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Abdomen CT multi-organ segmentation using token-based MLP-Mixer.
    Pan S; Chang CW; Wang T; Wynne J; Hu M; Lei Y; Liu T; Patel P; Roper J; Yang X
    Med Phys; 2023 May; 50(5):3027-3038. PubMed ID: 36463516
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Reproducibility of F18-FDG PET radiomic features for different cervical tumor segmentation methods, gray-level discretization, and reconstruction algorithms.
    Altazi BA; Zhang GG; Fernandez DC; Montejo ME; Hunt D; Werner J; Biagioli MC; Moros EG
    J Appl Clin Med Phys; 2017 Nov; 18(6):32-48. PubMed ID: 28891217
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A Segmentation Algorithm for Quantitative Analysis of Heterogeneous Tumors of the Cervix With ¹⁸F-FDG PET/CT.
    Mu W; Chen Z; Shen W; Yang F; Liang Y; Dai R; Wu N; Tian J
    IEEE Trans Biomed Eng; 2015 Oct; 62(10):2465-79. PubMed ID: 25993699
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Artificial intelligence-based, volumetric assessment of the bone marrow metabolic activity in [
    Sachpekidis C; Enqvist O; Ulén J; Kopp-Schneider A; Pan L; Mai EK; Hajiyianni M; Merz M; Raab MS; Jauch A; Goldschmidt H; Edenbrandt L; Dimitrakopoulou-Strauss A
    Eur J Nucl Med Mol Imaging; 2024 Mar; ():. PubMed ID: 38456971
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Application of novel quantitative techniques for fluorodeoxyglucose positron emission tomography/computed tomography in patients with non-small-cell lung cancer.
    Wang D; Koh ES; Descallar J; Pramana A; Vinod SK; Ho Shon I
    Asia Pac J Clin Oncol; 2016 Dec; 12(4):349-358. PubMed ID: 27550522
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Comparison of atlas-based techniques for whole-body bone segmentation.
    Arabi H; Zaidi H
    Med Image Anal; 2017 Feb; 36():98-112. PubMed ID: 27871000
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 18F-FDG-PET partial volume effect correction using a modified recovery coefficient approach based on functional volume and local contrast: physical validation and clinical feasibility in oncology.
    Anouan KJ; Lelandais B; Edet-Sanson A; Ruan S; Vera P; Gardin I; Hapdey S
    Q J Nucl Med Mol Imaging; 2017 Sep; 61(3):301-313. PubMed ID: 26407135
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Topology polymorphism graph for lung tumor segmentation in PET-CT images.
    Cui H; Wang X; Zhou J; Eberl S; Yin Y; Feng D; Fulham M
    Phys Med Biol; 2015 Jun; 60(12):4893-914. PubMed ID: 26056866
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Deep segmentation networks predict survival of non-small cell lung cancer.
    Baek S; He Y; Allen BG; Buatti JM; Smith BJ; Tong L; Sun Z; Wu J; Diehn M; Loo BW; Plichta KA; Seyedin SN; Gannon M; Cabel KR; Kim Y; Wu X
    Sci Rep; 2019 Nov; 9(1):17286. PubMed ID: 31754135
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Pretreatment 18F-FDG PET Textural Features in Locally Advanced Non-Small Cell Lung Cancer: Secondary Analysis of ACRIN 6668/RTOG 0235.
    Ohri N; Duan F; Snyder BS; Wei B; Machtay M; Alavi A; Siegel BA; Johnson DW; Bradley JD; DeNittis A; Werner-Wasik M; El Naqa I
    J Nucl Med; 2016 Jun; 57(6):842-8. PubMed ID: 26912429
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Role of Various Metabolic Parameters Derived From Baseline 18F-FDG PET/CT as Prognostic Markers in Non-Small Cell Lung Cancer Patients Undergoing Platinum-Based Chemotherapy.
    Sharma A; Mohan A; Bhalla AS; Sharma MC; Vishnubhatla S; Das CJ; Pandey AK; Sekhar Bal C; Patel CD; Sharma P; Agarwal KK; Kumar R
    Clin Nucl Med; 2018 Jan; 43(1):e8-e17. PubMed ID: 29112011
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Fully Automatic Quantitative Measurement of 18F-FDG PET/CT in Thymic Epithelial Tumors Using a Convolutional Neural Network.
    Han S; Oh JS; Kim YI; Seo SY; Lee GD; Park MJ; Choi S; Kim HR; Kim YH; Kim DK; Park SI; Ryu JS
    Clin Nucl Med; 2022 Jul; 47(7):590-598. PubMed ID: 35675135
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Information fusion for fully automated segmentation of head and neck tumors from PET and CT images.
    Shiri I; Amini M; Yousefirizi F; Vafaei Sadr A; Hajianfar G; Salimi Y; Mansouri Z; Jenabi E; Maghsudi M; Mainta I; Becker M; Rahmim A; Zaidi H
    Med Phys; 2024 Jan; 51(1):319-333. PubMed ID: 37475591
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets.
    Jiang J; Hu YC; Tyagi N; Zhang P; Rimner A; Deasy JO; Veeraraghavan H
    Med Phys; 2019 Oct; 46(10):4392-4404. PubMed ID: 31274206
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Automatic lung tumor segmentation on PET/CT images using fuzzy Markov random field model.
    Guo Y; Feng Y; Sun J; Zhang N; Lin W; Sa Y; Wang P
    Comput Math Methods Med; 2014; 2014():401201. PubMed ID: 24987451
    [TBL] [Abstract][Full Text] [Related]  

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