BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

147 related articles for article (PubMed ID: 37658141)

  • 1. Localization of contrast-enhanced breast lesions in ultrafast screening MRI using deep convolutional neural networks.
    Jing X; Dorrius MD; Zheng S; Wielema M; Oudkerk M; Sijens PE; van Ooijen PMA
    Eur Radiol; 2024 Mar; 34(3):2084-2092. PubMed ID: 37658141
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Using deep learning to safely exclude lesions with only ultrafast breast MRI to shorten acquisition and reading time.
    Jing X; Wielema M; Cornelissen LJ; van Gent M; Iwema WM; Zheng S; Sijens PE; Oudkerk M; Dorrius MD; van Ooijen PMA
    Eur Radiol; 2022 Dec; 32(12):8706-8715. PubMed ID: 35614363
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Computer-Aided Diagnosis in Multiparametric Magnetic Resonance Imaging Screening of Women With Extremely Dense Breasts to Reduce False-Positive Diagnoses.
    Verburg E; van Gils CH; Bakker MF; Viergever MA; Pijnappel RM; Veldhuis WB; Gilhuijs KGA
    Invest Radiol; 2020 Jul; 55(7):438-444. PubMed ID: 32149858
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Compressed Sensing for Breast MRI: Resolving the Trade-Off Between Spatial and Temporal Resolution.
    Vreemann S; Rodriguez-Ruiz A; Nickel D; Heacock L; Appelman L; van Zelst J; Karssemeijer N; Weiland E; Maas M; Moy L; Kiefer B; Mann RM
    Invest Radiol; 2017 Oct; 52(10):574-582. PubMed ID: 28463932
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automated artifact detection in abbreviated dynamic contrast-enhanced (DCE) MRI-derived maximum intensity projections (MIPs) of the breast.
    Kapsner LA; Ohlmeyer S; Folle L; Laun FB; Nagel AM; Liebert A; Schreiter H; Beckmann MW; Uder M; Wenkel E; Bickelhaupt S
    Eur Radiol; 2022 Sep; 32(9):5997-6007. PubMed ID: 35366123
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep Convolutional Neural Networks-Based Automatic Breast Segmentation and Mass Detection in DCE-MRI.
    Jiao H; Jiang X; Pang Z; Lin X; Huang Y; Li L
    Comput Math Methods Med; 2020; 2020():2413706. PubMed ID: 32454879
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Breast Tumor Identification in Ultrafast MRI Using Temporal and Spatial Information.
    Jing X; Dorrius MD; Wielema M; Sijens PE; Oudkerk M; van Ooijen P
    Cancers (Basel); 2022 Apr; 14(8):. PubMed ID: 35454949
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automatic breast lesion detection in ultrafast DCE-MRI using deep learning.
    Ayatollahi F; Shokouhi SB; Mann RM; Teuwen J
    Med Phys; 2021 Oct; 48(10):5897-5907. PubMed ID: 34370886
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multireader Study on the Diagnostic Accuracy of Ultrafast Breast Magnetic Resonance Imaging for Breast Cancer Screening.
    van Zelst JCM; Vreemann S; Witt HJ; Gubern-Merida A; Dorrius MD; Duvivier K; Lardenoije-Broker S; Lobbes MBI; Loo C; Veldhuis W; Veltman J; Drieling D; Karssemeijer N; Mann RM
    Invest Radiol; 2018 Oct; 53(10):579-586. PubMed ID: 29944483
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automatic Detection and Segmentation of Breast Cancer on MRI Using Mask R-CNN Trained on Non-Fat-Sat Images and Tested on Fat-Sat Images.
    Zhang Y; Chan S; Park VY; Chang KT; Mehta S; Kim MJ; Combs FJ; Chang P; Chow D; Parajuli R; Mehta RS; Lin CY; Chien SH; Chen JH; Su MY
    Acad Radiol; 2022 Jan; 29 Suppl 1(Suppl 1):S135-S144. PubMed ID: 33317911
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Differentiation between subcentimeter carcinomas and benign lesions using kinetic parameters derived from ultrafast dynamic contrast-enhanced breast MRI.
    Onishi N; Sadinski M; Gibbs P; Gallagher KM; Hughes MC; Ko ES; Dashevsky BZ; Shanbhag DD; Fung MM; Hunt TM; Martinez DF; Shukla-Dave A; Morris EA; Sutton EJ
    Eur Radiol; 2020 Feb; 30(2):756-766. PubMed ID: 31468162
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Artificial Intelligence-Based Classification of Breast Lesions Imaged With a Multiparametric Breast MRI Protocol With Ultrafast DCE-MRI, T2, and DWI.
    Dalmiş MU; Gubern-Mérida A; Vreemann S; Bult P; Karssemeijer N; Mann R; Teuwen J
    Invest Radiol; 2019 Jun; 54(6):325-332. PubMed ID: 30652985
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Detection and classification of breast lesions with You Only Look Once version 5.
    Meng M; Zhang M; Shen D; He G; Guo Y
    Future Oncol; 2022 Dec; 18(39):4361-4370. PubMed ID: 36519579
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Developing breast lesion detection algorithms for digital breast tomosynthesis: Leveraging false positive findings.
    Hossain MB; Nishikawa RM; Lee J
    Med Phys; 2022 Dec; 49(12):7596-7608. PubMed ID: 35916103
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images.
    Zhou J; Luo LY; Dou Q; Chen H; Chen C; Li GJ; Jiang ZF; Heng PA
    J Magn Reson Imaging; 2019 Oct; 50(4):1144-1151. PubMed ID: 30924997
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep learning for predicting future lesion emergence in high-risk breast MRI screening: a feasibility study.
    Burger B; Bernathova M; Seeböck P; Singer CF; Helbich TH; Langs G
    Eur Radiol Exp; 2023 Jun; 7(1):32. PubMed ID: 37280478
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Time to enhancement derived from ultrafast breast MRI as a novel parameter to discriminate benign from malignant breast lesions.
    Mus RD; Borelli C; Bult P; Weiland E; Karssemeijer N; Barentsz JO; Gubern-Mérida A; Platel B; Mann RM
    Eur J Radiol; 2017 Apr; 89():90-96. PubMed ID: 28267555
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Visual ensemble selection of deep convolutional neural networks for 3D segmentation of breast tumors on dynamic contrast enhanced MRI.
    Rahimpour M; Saint Martin MJ; Frouin F; Akl P; Orlhac F; Koole M; Malhaire C
    Eur Radiol; 2023 Feb; 33(2):959-969. PubMed ID: 36074262
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automatic deep learning method for detection and classification of breast lesions in dynamic contrast-enhanced magnetic resonance imaging.
    Gao W; Chen J; Zhang B; Wei X; Zhong J; Li X; He X; Zhao F; Chen X
    Quant Imaging Med Surg; 2023 Apr; 13(4):2620-2633. PubMed ID: 37064362
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Use of a deep learning algorithm for non-mass enhancement on breast MRI: comparison with radiologists' interpretations at various levels.
    Goto M; Sakai K; Toyama Y; Nakai Y; Yamada K
    Jpn J Radiol; 2023 Oct; 41(10):1094-1103. PubMed ID: 37071250
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.