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 *

117 related articles for article (PubMed ID: 31117012)

  • 1. Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility study.
    Lee PQ; Guida A; Patterson S; Trappenberg T; Bowen C; Beyea SD; Merrimen J; Wang C; Clarke SE
    Comput Med Imaging Graph; 2019 Jul; 75():14-23. PubMed ID: 31117012
    [TBL] [Abstract][Full Text] [Related]  

  • 2. DCE-MRI of the prostate using shutter-speed vs. Tofts model for tumor characterization and assessment of aggressiveness.
    Hectors SJ; Besa C; Wagner M; Jajamovich GH; Haines GK; Lewis S; Tewari A; Rastinehad A; Huang W; Taouli B
    J Magn Reson Imaging; 2017 Sep; 46(3):837-849. PubMed ID: 28092414
    [TBL] [Abstract][Full Text] [Related]  

  • 3. TIST-Net: style transfer in dynamic contrast enhanced MRI using spatial and temporal information.
    Tattersall AG; Goatman KA; Kershaw LE; Semple SIK; Dahdouh S
    Phys Med Biol; 2024 May; 69(11):. PubMed ID: 38648788
    [No Abstract]   [Full Text] [Related]  

  • 4. Medical image diagnosis of prostate tumor based on PSP-Net+VGG16 deep learning network.
    Ye LY; Miao XY; Cai WS; Xu WJ
    Comput Methods Programs Biomed; 2022 Jun; 221():106770. PubMed ID: 35640389
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Co-trained convolutional neural networks for automated detection of prostate cancer in multi-parametric MRI.
    Yang X; Liu C; Wang Z; Yang J; Min HL; Wang L; Cheng KT
    Med Image Anal; 2017 Dec; 42():212-227. PubMed ID: 28850876
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Healthy Kidney Segmentation in the Dce-Mr Images Using a Convolutional Neural Network and Temporal Signal Characteristics.
    Klepaczko A; Eikefjord E; Lundervold A
    Sensors (Basel); 2021 Oct; 21(20):. PubMed ID: 34695931
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Fully automatic segmentation on prostate MR images based on cascaded fully convolution network.
    Zhu Y; Wei R; Gao G; Ding L; Zhang X; Wang X; Zhang J
    J Magn Reson Imaging; 2019 Apr; 49(4):1149-1156. PubMed ID: 30350434
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images.
    Jia H; Xia Y; Song Y; Zhang D; Huang H; Zhang Y; Cai W
    IEEE Trans Med Imaging; 2020 Feb; 39(2):447-457. PubMed ID: 31295109
    [TBL] [Abstract][Full Text] [Related]  

  • 9. PSP net-based automatic segmentation network model for prostate magnetic resonance imaging.
    Yan L; Liu D; Xiang Q; Luo Y; Wang T; Wu D; Chen H; Zhang Y; Li Q
    Comput Methods Programs Biomed; 2021 Aug; 207():106211. PubMed ID: 34134076
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multi-planar 3D breast segmentation in MRI via deep convolutional neural networks.
    Piantadosi G; Sansone M; Fusco R; Sansone C
    Artif Intell Med; 2020 Mar; 103():101781. PubMed ID: 32143788
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Population net benefit of prostate MRI with high spatiotemporal resolution contrast-enhanced imaging: A decision curve analysis.
    Prabhu V; Rosenkrantz AB; Otazo R; Sodickson DK; Kang SK
    J Magn Reson Imaging; 2019 May; 49(5):1400-1408. PubMed ID: 30629317
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Quantitative assessment of dynamic
    Tau N; Berlin A; Yeung I; Halankar J; Murphy G; Jhaveri KS; Ghai S; Metser U
    Br J Radiol; 2019 Feb; 92(1094):20180568. PubMed ID: 30383459
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 4D perfusion CT of prostate cancer for image-guided radiotherapy planning: A proof of concept study.
    Beer L; Polanec SH; Baltzer PAT; Schatzl G; Georg D; Schestak C; Dutschke A; Herrmann H; Mazal P; Brendel AK; Shariat SF; Ringl H; Helbich TH; Apfaltrer P
    PLoS One; 2019; 14(12):e0225673. PubMed ID: 31856177
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A direct comparison of contrast-enhanced ultrasound and dynamic contrast-enhanced magnetic resonance imaging for prostate cancer detection and prediction of aggressiveness.
    Baur ADJ; Schwabe J; Rogasch J; Maxeiner A; Penzkofer T; Stephan C; Rudl M; Hamm B; Jung EM; Fischer T
    Eur Radiol; 2018 May; 28(5):1949-1960. PubMed ID: 29238867
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A self-supervised strategy for fully automatic segmentation of renal dynamic contrast-enhanced magnetic resonance images.
    Huang W; Li H; Wang R; Zhang X; Wang X; Zhang J
    Med Phys; 2019 Oct; 46(10):4417-4430. PubMed ID: 31306492
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Right Ventricular Segmentation from MRI Using Deep Convolutional Neural Networks.
    Purmehdi H; Hareendranathan AR; Noga M; Punithakumar K
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():4020-4023. PubMed ID: 31946753
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of prostate cancer aggressiveness with a combination of radiomics and machine learning-based analysis of dynamic contrast-enhanced MRI.
    Liu B; Cheng J; Guo DJ; He XJ; Luo YD; Zeng Y; Li CM
    Clin Radiol; 2019 Nov; 74(11):896.e1-896.e8. PubMed ID: 31495546
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Feasibility of CAIPIRINHA-Dixon-TWIST-VIBE for dynamic contrast-enhanced MRI of the prostate.
    Othman AE; Martirosian P; Schraml C; Taron J; Weiss J; Bier G; Schwentner C; Nickel D; Bamberg F; Kramer U; Nikolaou K; Notohamiprodjo M
    Eur J Radiol; 2015 Nov; 84(11):2110-6. PubMed ID: 26321493
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Supervised and unsupervised methods for prostate cancer segmentation with multispectral MRI.
    Ozer S; Langer DL; Liu X; Haider MA; van der Kwast TH; Evans AJ; Yang Y; Wernick MN; Yetik IS
    Med Phys; 2010 Apr; 37(4):1873-83. PubMed ID: 20443509
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparison of T2-Weighted Imaging, DWI, and Dynamic Contrast-Enhanced MRI for Calculation of Prostate Cancer Index Lesion Volume: Correlation With Whole-Mount Pathology.
    Sun C; Chatterjee A; Yousuf A; Antic T; Eggener S; Karczmar GS; Oto A
    AJR Am J Roentgenol; 2019 Feb; 212(2):351-356. PubMed ID: 30540213
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.