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 *

925 related articles for article (PubMed ID: 28582269)

  • 1. Automated diagnosis of prostate cancer in multi-parametric MRI based on multimodal convolutional neural networks.
    Le MH; Chen J; Wang L; Wang Z; Liu W; Cheng KT; Yang X
    Phys Med Biol; 2017 Jul; 62(16):6497-6514. PubMed ID: 28582269
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Automated Detection of Clinically Significant Prostate Cancer in mp-MRI Images Based on an End-to-End Deep Neural Network.
    Wang Z; Liu C; Cheng D; Wang L; Yang X; Cheng KT
    IEEE Trans Med Imaging; 2018 May; 37(5):1127-1139. PubMed ID: 29727276
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Semi-supervised mp-MRI data synthesis with StitchLayer and auxiliary distance maximization.
    Wang Z; Lin Y; Cheng KT; Yang X
    Med Image Anal; 2020 Jan; 59():101565. PubMed ID: 31630010
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Computer-aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI.
    Song Y; Zhang YD; Yan X; Liu H; Zhou M; Hu B; Yang G
    J Magn Reson Imaging; 2018 Dec; 48(6):1570-1577. PubMed ID: 29659067
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer's Disease Diagnosis.
    Liu M; Cheng D; Wang K; Wang Y;
    Neuroinformatics; 2018 Oct; 16(3-4):295-308. PubMed ID: 29572601
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models.
    Khalvati F; Wong A; Haider MA
    BMC Med Imaging; 2015 Aug; 15():27. PubMed ID: 26242589
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study.
    Ginsburg SB; Algohary A; Pahwa S; Gulani V; Ponsky L; Aronen HJ; Boström PJ; Böhm M; Haynes AM; Brenner P; Delprado W; Thompson J; Pulbrock M; Taimen P; Villani R; Stricker P; Rastinehad AR; Jambor I; Madabhushi A
    J Magn Reson Imaging; 2017 Jul; 46(1):184-193. PubMed ID: 27990722
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multiparametric MRI in detection and staging of prostate cancer.
    Boesen L
    Dan Med J; 2017 Feb; 64(2):. PubMed ID: 28157066
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet.
    Cao R; Mohammadian Bajgiran A; Afshari Mirak S; Shakeri S; Zhong X; Enzmann D; Raman S; Sung K
    IEEE Trans Med Imaging; 2019 Nov; 38(11):2496-2506. PubMed ID: 30835218
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Computer-aided diagnosis of prostate cancer on magnetic resonance imaging using a convolutional neural network algorithm.
    Ishioka J; Matsuoka Y; Uehara S; Yasuda Y; Kijima T; Yoshida S; Yokoyama M; Saito K; Kihara K; Numao N; Kimura T; Kudo K; Kumazawa I; Fujii Y
    BJU Int; 2018 Sep; 122(3):411-417. PubMed ID: 29772101
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification.
    Kumar A; Kim J; Lyndon D; Fulham M; Feng D
    IEEE J Biomed Health Inform; 2017 Jan; 21(1):31-40. PubMed ID: 28114041
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Combined unsupervised-supervised classification of multiparametric PET/MRI data: application to prostate cancer.
    Gatidis S; Scharpf M; Martirosian P; Bezrukov I; Küstner T; Hennenlotter J; Kruck S; Kaufmann S; Schraml C; la Fougère C; Schwenzer NF; Schmidt H
    NMR Biomed; 2015 Jul; 28(7):914-22. PubMed ID: 26014883
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Efficiency Improvement in a Busy Radiology Practice: Determination of Musculoskeletal Magnetic Resonance Imaging Protocol Using Deep-Learning Convolutional Neural Networks.
    Lee YH
    J Digit Imaging; 2018 Oct; 31(5):604-610. PubMed ID: 29619578
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evaluation of extracapsular extension in prostate cancer using qualitative and quantitative multiparametric MRI.
    Kim W; Kim CK; Park JJ; Kim M; Kim JH
    J Magn Reson Imaging; 2017 Jun; 45(6):1760-1770. PubMed ID: 27749009
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Nasopharyngeal carcinoma segmentation based on enhanced convolutional neural networks using multi-modal metric learning.
    Ma Z; Zhou S; Wu X; Zhang H; Yan W; Sun S; Zhou J
    Phys Med Biol; 2019 Jan; 64(2):025005. PubMed ID: 30524024
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Computer-aided diagnosis of prostate cancer using multi-parametric MRI: comparison between PUN and Tofts models.
    Mazzetti S; Giannini V; Russo F; Regge D
    Phys Med Biol; 2018 May; 63(9):095004. PubMed ID: 29570456
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning.
    Wang X; Yang W; Weinreb J; Han J; Li Q; Kong X; Yan Y; Ke Z; Luo B; Liu T; Wang L
    Sci Rep; 2017 Nov; 7(1):15415. PubMed ID: 29133818
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Combined Transfer Learning and Test-Time Augmentation Improves Convolutional Neural Network-Based Semantic Segmentation of Prostate Cancer from Multi-Parametric MR Images.
    Hoar D; Lee PQ; Guida A; Patterson S; Bowen CV; Merrimen J; Wang C; Rendon R; Beyea SD; Clarke SE
    Comput Methods Programs Biomed; 2021 Oct; 210():106375. PubMed ID: 34500139
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Radiomic features from pretreatment biparametric MRI predict prostate cancer biochemical recurrence: Preliminary findings.
    Shiradkar R; Ghose S; Jambor I; Taimen P; Ettala O; Purysko AS; Madabhushi A
    J Magn Reson Imaging; 2018 Dec; 48(6):1626-1636. PubMed ID: 29734484
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 47.