313 related articles for article (PubMed ID: 26391055)
1. A fully automatic computer aided diagnosis system for peripheral zone prostate cancer detection using multi-parametric magnetic resonance imaging.
Giannini V; Mazzetti S; Vignati A; Russo F; Bollito E; Porpiglia F; Stasi M; Regge D
Comput Med Imaging Graph; 2015 Dec; 46 Pt 2():219-26. PubMed ID: 26391055
[TBL] [Abstract][Full Text] [Related]
2. Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI.
Madabhushi A; Feldman MD; Metaxas DN; Tomaszeweski J; Chute D
IEEE Trans Med Imaging; 2005 Dec; 24(12):1611-25. PubMed ID: 16350920
[TBL] [Abstract][Full Text] [Related]
3. Computer-aided detection of prostate cancer in MRI.
Litjens G; Debats O; Barentsz J; Karssemeijer N; Huisman H
IEEE Trans Med Imaging; 2014 May; 33(5):1083-92. PubMed ID: 24770913
[TBL] [Abstract][Full Text] [Related]
4. Automated prostate cancer detection using T2-weighted and high-b-value diffusion-weighted magnetic resonance imaging.
Kwak JT; Xu S; Wood BJ; Turkbey B; Choyke PL; Pinto PA; Wang S; Summers RM
Med Phys; 2015 May; 42(5):2368-78. PubMed ID: 25979032
[TBL] [Abstract][Full Text] [Related]
5. Automatic computer-aided detection of prostate cancer based on multiparametric magnetic resonance image analysis.
Vos PC; Barentsz JO; Karssemeijer N; Huisman HJ
Phys Med Biol; 2012 Mar; 57(6):1527-42. PubMed ID: 22391091
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Comparison of real-time elastography and multiparametric MRI for prostate cancer detection: a whole-mount step-section analysis.
Junker D; Schäfer G; Kobel C; Kremser C; Bektic J; Jaschke W; Aigner F
AJR Am J Roentgenol; 2014 Mar; 202(3):W263-9. PubMed ID: 24555623
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Kernel-based learning from both qualitative and quantitative labels: application to prostate cancer diagnosis based on multiparametric MR imaging.
Niaf É; Flamary R; Rouvière O; Lartizien C; Canu S
IEEE Trans Image Process; 2014 Mar; 23(3):979-91. PubMed ID: 24464613
[TBL] [Abstract][Full Text] [Related]
11. Evaluation of Diffusion Kurtosis Imaging Versus Standard Diffusion Imaging for Detection and Grading of Peripheral Zone Prostate Cancer.
Roethke MC; Kuder TA; Kuru TH; Fenchel M; Hadaschik BA; Laun FB; Schlemmer HP; Stieltjes B
Invest Radiol; 2015 Aug; 50(8):483-9. PubMed ID: 25867657
[TBL] [Abstract][Full Text] [Related]
12. Multiparametric magnetic resonance imaging in the detection of prostate cancer.
Durmus T; Baur A; Hamm B
Aktuelle Urol; 2014 Mar; 45(2):119-26. PubMed ID: 24700068
[TBL] [Abstract][Full Text] [Related]
13. Decision support system for localizing prostate cancer based on multiparametric magnetic resonance imaging.
Shah V; Turkbey B; Mani H; Pang Y; Pohida T; Merino MJ; Pinto PA; Choyke PL; Bernardo M
Med Phys; 2012 Jul; 39(7):4093-103. PubMed ID: 22830742
[TBL] [Abstract][Full Text] [Related]
14. Multicenter validation of prostate tumor localization using multiparametric MRI and prior knowledge.
Dinh CV; Steenbergen P; Ghobadi G; van der Poel H; Heijmink SW; de Jong J; Isebaert S; Haustermans K; Lerut E; Oyen R; Ou Y; Christos D; van der Heide UA
Med Phys; 2017 Mar; 44(3):949-961. PubMed ID: 28039927
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. [Real-time MRI/US fusion-guided biopsy improves detection rates of prostate cancer in pre-biopsied patients].
Maxeiner A; Fischer T; Stephan C; Cash H; Slowinski T; Kilic E; Durmus T
Aktuelle Urol; 2014 May; 45(3):197-203. PubMed ID: 24902069
[TBL] [Abstract][Full Text] [Related]
17. A pattern recognition approach to zonal segmentation of the prostate on MRI.
Litjens G; Debats O; van de Ven W; Karssemeijer N; Huisman H
Med Image Comput Comput Assist Interv; 2012; 15(Pt 2):413-20. PubMed ID: 23286075
[TBL] [Abstract][Full Text] [Related]
18. Evaluation of suspected soft tissue lesion in the prostate bed after radical prostatectomy using 3T multiparametric magnetic resonance imaging.
Cha D; Kim CK; Park SY; Park JJ; Park BK
Magn Reson Imaging; 2015 May; 33(4):407-12. PubMed ID: 25527395
[TBL] [Abstract][Full Text] [Related]
19. A data-driven approach to prostate cancer detection from dynamic contrast enhanced MRI.
Haq NF; Kozlowski P; Jones EC; Chang SD; Goldenberg SL; Moradi M
Comput Med Imaging Graph; 2015 Apr; 41():37-45. PubMed ID: 25060941
[TBL] [Abstract][Full Text] [Related]
20. Detection of prostate cancer by integration of line-scan diffusion, T2-mapping and T2-weighted magnetic resonance imaging; a multichannel statistical classifier.
Chan I; Wells W; Mulkern RV; Haker S; Zhang J; Zou KH; Maier SE; Tempany CM
Med Phys; 2003 Sep; 30(9):2390-8. PubMed ID: 14528961
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
