239 related articles for article (PubMed ID: 30835218)
1. 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]
2. 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]
3. Performance of Deep Learning and Genitourinary Radiologists in Detection of Prostate Cancer Using 3-T Multiparametric Magnetic Resonance Imaging.
Cao R; Zhong X; Afshari S; Felker E; Suvannarerg V; Tubtawee T; Vangala S; Scalzo F; Raman S; Sung K
J Magn Reson Imaging; 2021 Aug; 54(2):474-483. PubMed ID: 33709532
[TBL] [Abstract][Full Text] [Related]
4. ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans.
Duran A; Dussert G; Rouvière O; Jaouen T; Jodoin PM; Lartizien C
Med Image Anal; 2022 Apr; 77():102347. PubMed ID: 35085952
[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. Semi-automatic classification of prostate cancer on multi-parametric MR imaging using a multi-channel 3D convolutional neural network.
Aldoj N; Lukas S; Dewey M; Penzkofer T
Eur Radiol; 2020 Feb; 30(2):1243-1253. PubMed ID: 31468158
[TBL] [Abstract][Full Text] [Related]
7. Accuracy of ADC ratio in discriminating true and false positives in multiparametric prostatic MRI.
Falaschi Z; Valenti M; Lanzo G; Attanasio S; Valentini E; García Navarro LI; Aquilini F; Stecco A; Carriero A
Eur J Radiol; 2020 Jul; 128():109024. PubMed ID: 32387923
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Detection of Gleason 6 prostate cancer in patients with clinically significant prostate cancer on multiparametric magnetic resonance imaging.
Chaloupka M; Bischoff R; Pfitzinger P; Lellig E; Ledderose S; Buchner A; Schlenker B; Stief C; Clevert DA; Apfelbeck M
Clin Hemorheol Microcirc; 2019; 73(1):105-111. PubMed ID: 31561351
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists.
Antonelli M; Johnston EW; Dikaios N; Cheung KK; Sidhu HS; Appayya MB; Giganti F; Simmons LAM; Freeman A; Allen C; Ahmed HU; Atkinson D; Ourselin S; Punwani S
Eur Radiol; 2019 Sep; 29(9):4754-4764. PubMed ID: 31187216
[TBL] [Abstract][Full Text] [Related]
12. Analysis of Diffusion-weighted MR Images Based on a Gamma Distribution Model to Differentiate Prostate Cancers with Different Gleason Score.
Tomita H; Soga S; Suyama Y; Ito K; Asano T; Shinmoto H
Magn Reson Med Sci; 2020 Feb; 19(1):40-47. PubMed ID: 30918223
[TBL] [Abstract][Full Text] [Related]
13. Restriction spectrum imaging improves MRI-based prostate cancer detection.
McCammack KC; Schenker-Ahmed NM; White NS; Best SR; Marks RM; Heimbigner J; Kane CJ; Parsons JK; Kuperman JM; Bartsch H; Desikan RS; Rakow-Penner RA; Liss MA; Margolis DJ; Raman SS; Shabaik A; Dale AM; Karow DS
Abdom Radiol (NY); 2016 May; 41(5):946-53. PubMed ID: 26910114
[TBL] [Abstract][Full Text] [Related]
14. Is Prostate Imaging Reporting and Data System Version 2 Sufficiently Discovering Clinically Significant Prostate Cancer? Per-Lesion Radiology-Pathology Correlation Study.
Lee MS; Moon MH; Kim YA; Sung CK; Woo H; Jeong H; Son H
AJR Am J Roentgenol; 2018 Jul; 211(1):114-120. PubMed ID: 29702017
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Clinically significant prostate cancer detection and segmentation in low-risk patients using a convolutional neural network on multi-parametric MRI.
Arif M; Schoots IG; Castillo Tovar J; Bangma CH; Krestin GP; Roobol MJ; Niessen W; Veenland JF
Eur Radiol; 2020 Dec; 30(12):6582-6592. PubMed ID: 32594208
[TBL] [Abstract][Full Text] [Related]
17. Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images.
Li W; Li J; Sarma KV; Ho KC; Shen S; Knudsen BS; Gertych A; Arnold CW
IEEE Trans Med Imaging; 2019 Apr; 38(4):945-954. PubMed ID: 30334752
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Monitoring radiotherapy induced tissue changes in localized prostate cancer by multi-parametric magnetic resonance imaging (MP-MRI).
Wu X; Reinikainen P; Kapanen M; Vierikko T; Ryymin P; Kellokumpu-Lehtinen PL
Diagn Interv Imaging; 2019 Nov; 100(11):699-708. PubMed ID: 31257114
[TBL] [Abstract][Full Text] [Related]
20. Patient-level grading prediction of prostate cancer from mp-MRI via GMINet.
Shao L; Liu Z; Liu J; Yan Y; Sun K; Liu X; Lu J; Tian J
Comput Biol Med; 2022 Nov; 150():106168. PubMed ID: 36240594
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
