BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

282 related articles for article (PubMed ID: 30299231)

  • 1. Deep Learning-based Method for Fully Automatic Quantification of Left Ventricle Function from Cine MR Images: A Multivendor, Multicenter Study.
    Tao Q; Yan W; Wang Y; Paiman EHM; Shamonin DP; Garg P; Plein S; Huang L; Xia L; Sramko M; Tintera J; de Roos A; Lamb HJ; van der Geest RJ
    Radiology; 2019 Jan; 290(1):81-88. PubMed ID: 30299231
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Three-dimensional Deep Convolutional Neural Networks for Automated Myocardial Scar Quantification in Hypertrophic Cardiomyopathy: A Multicenter Multivendor Study.
    Fahmy AS; Neisius U; Chan RH; Rowin EJ; Manning WJ; Maron MS; Nezafat R
    Radiology; 2020 Jan; 294(1):52-60. PubMed ID: 31714190
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A deep learning-based approach for automatic segmentation and quantification of the left ventricle from cardiac cine MR images.
    Abdeltawab H; Khalifa F; Taher F; Alghamdi NS; Ghazal M; Beache G; Mohamed T; Keynton R; El-Baz A
    Comput Med Imaging Graph; 2020 Apr; 81():101717. PubMed ID: 32222684
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping.
    Ghadimi S; Auger DA; Feng X; Sun C; Meyer CH; Bilchick KC; Cao JJ; Scott AD; Oshinski JN; Ennis DB; Epstein FH
    J Cardiovasc Magn Reson; 2021 Mar; 23(1):20. PubMed ID: 33691739
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automated segmentation of the left ventricle from MR cine imaging based on deep learning architecture.
    Qin W; Wu Y; Li S; Chen Y; Yang Y; Liu X; Zheng H; Liang D; Hu Z
    Biomed Phys Eng Express; 2020 Feb; 6(2):025009. PubMed ID: 33438635
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Cine MRI analysis by deep learning of optical flow: Adding the temporal dimension.
    Yan W; Wang Y; van der Geest RJ; Tao Q
    Comput Biol Med; 2019 Aug; 111():103356. PubMed ID: 31323604
    [TBL] [Abstract][Full Text] [Related]  

  • 7. AI approach to biventricular function assessment in cine-MRI: an ultra-small training dataset and multivendor study.
    Wang J; Zhang N; Wang S; Liang W; Zhao H; Xia W; Zhu J; Zhang Y; Zhang W; Chai S
    Phys Med Biol; 2023 Dec; 68(24):. PubMed ID: 37918023
    [No Abstract]   [Full Text] [Related]  

  • 8. Deep learning based automated left ventricle segmentation and flow quantification in 4D flow cardiac MRI.
    Sun X; Cheng LH; Plein S; Garg P; van der Geest RJ
    J Cardiovasc Magn Reson; 2024 Summer; 26(1):100003. PubMed ID: 38211658
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning from dual-energy information for whole-heart segmentation in dual-energy and single-energy non-contrast-enhanced cardiac CT.
    Bruns S; Wolterink JM; Takx RAP; van Hamersvelt RW; Suchá D; Viergever MA; Leiner T; Išgum I
    Med Phys; 2020 Oct; 47(10):5048-5060. PubMed ID: 32786071
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep Learning for Diagnosis of Chronic Myocardial Infarction on Nonenhanced Cardiac Cine MRI.
    Zhang N; Yang G; Gao Z; Xu C; Zhang Y; Shi R; Keegan J; Xu L; Zhang H; Fan Z; Firmin D
    Radiology; 2019 Jun; 291(3):606-617. PubMed ID: 31038407
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI.
    Avendi MR; Kheradvar A; Jafarkhani H
    Med Image Anal; 2016 May; 30():108-119. PubMed ID: 26917105
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Fully Automatic initialization and segmentation of left and right ventricles for large-scale cardiac MRI using a deeply supervised network and 3D-ASM.
    Hu H; Pan N; Frangi AF
    Comput Methods Programs Biomed; 2023 Oct; 240():107679. PubMed ID: 37364366
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Convolutional neural network regression for short-axis left ventricle segmentation in cardiac cine MR sequences.
    Tan LK; Liew YM; Lim E; McLaughlin RA
    Med Image Anal; 2017 Jul; 39():78-86. PubMed ID: 28437634
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Efficient method for analyzing MR real-time cines: Toward accurate quantification of left ventricular function.
    Wu Y; Jiang K; Zhang N; Gao Y; Chen Y; Zheng H; Liu X; Chung YC
    J Magn Reson Imaging; 2015 Oct; 42(4):972-80. PubMed ID: 25727686
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Fully automated segmentation of the left ventricle in cine cardiac MRI using neural network regression.
    Tan LK; McLaughlin RA; Lim E; Abdul Aziz YF; Liew YM
    J Magn Reson Imaging; 2018 Jul; 48(1):140-152. PubMed ID: 29316024
    [TBL] [Abstract][Full Text] [Related]  

  • 16. SAUN: Stack attention U-Net for left ventricle segmentation from cardiac cine magnetic resonance imaging.
    Sun X; Garg P; Plein S; van der Geest RJ
    Med Phys; 2021 Apr; 48(4):1750-1763. PubMed ID: 33544895
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Fully automated quantification of left ventricular volumes and function in cardiac MRI: clinical evaluation of a deep learning-based algorithm.
    Böttcher B; Beller E; Busse A; Cantré D; Yücel S; Öner A; Ince H; Weber MA; Meinel FG
    Int J Cardiovasc Imaging; 2020 Nov; 36(11):2239-2247. PubMed ID: 32677023
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated left and right ventricular chamber segmentation in cardiac magnetic resonance images using dense fully convolutional neural network.
    Penso M; Moccia S; Scafuri S; Muscogiuri G; Pontone G; Pepi M; Caiani EG
    Comput Methods Programs Biomed; 2021 Jun; 204():106059. PubMed ID: 33812305
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Left ventricle automatic segmentation in cardiac MRI using a combined CNN and U-net approach.
    Wu B; Fang Y; Lai X
    Comput Med Imaging Graph; 2020 Jun; 82():101719. PubMed ID: 32325284
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Artificial intelligence study on left ventricular function among normal individuals, hypertrophic cardiomyopathy and dilated cardiomyopathy patients using 1.5T cardiac cine MR images obtained by SSFP sequence.
    Guo J; Lu H; Chen Y; Zeng M; Jin H
    Br J Radiol; 2022 May; 95(1133):20201060. PubMed ID: 35084208
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.