258 related articles for article (PubMed ID: 36725719)
21. Diagnostic accuracy of biparametric vs multiparametric MRI in clinically significant prostate cancer: Comparison between readers with different experience.
Di Campli E; Delli Pizzi A; Seccia B; Cianci R; d'Annibale M; Colasante A; Cinalli S; Castellan P; Navarra R; Iantorno R; Gabrielli D; Buffone A; Caulo M; Basilico R
Eur J Radiol; 2018 Apr; 101():17-23. PubMed ID: 29571792
[TBL] [Abstract][Full Text] [Related]
22. Development and validation of a deep learning model for breast lesion segmentation and characterization in multiparametric MRI.
Zhu J; Geng J; Shan W; Zhang B; Shen H; Dong X; Liu M; Li X; Cheng L
Front Oncol; 2022; 12():946580. PubMed ID: 36033449
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. Utility of dual read in the setting of prostate MRI interpretation.
Harfouch N; Peti S; Sharma R; Chacko J; Emmanuel G; Hayim M; Yarmish G
Abdom Radiol (NY); 2023 Apr; 48(4):1395-1400. PubMed ID: 36881131
[TBL] [Abstract][Full Text] [Related]
25. Feasibility of integrating computer-aided diagnosis with structured reports of prostate multiparametric MRI.
Zhu L; Gao G; Liu Y; Han C; Liu J; Zhang X; Wang X
Clin Imaging; 2020 Mar; 60(1):123-130. PubMed ID: 31874336
[TBL] [Abstract][Full Text] [Related]
26. Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance.
Dratsch T; Chen X; Rezazade Mehrizi M; Kloeckner R; Mähringer-Kunz A; Püsken M; Baeßler B; Sauer S; Maintz D; Pinto Dos Santos D
Radiology; 2023 May; 307(4):e222176. PubMed ID: 37129490
[TBL] [Abstract][Full Text] [Related]
27. Algorithms for classification of sequences and segmentation of prostate gland: an external validation study.
Yin X; Wang K; Wang L; Yang Z; Zhang Y; Wu P; Zhao C; Zhang J
Abdom Radiol (NY); 2024 Apr; 49(4):1275-1287. PubMed ID: 38436698
[TBL] [Abstract][Full Text] [Related]
28. Convolutional Neural Networks for Automated Classification of Prostate Multiparametric Magnetic Resonance Imaging Based on Image Quality.
Cipollari S; Guarrasi V; Pecoraro M; Bicchetti M; Messina E; Farina L; Paci P; Catalano C; Panebianco V
J Magn Reson Imaging; 2022 Feb; 55(2):480-490. PubMed ID: 34374181
[TBL] [Abstract][Full Text] [Related]
29. A Novel Deep Learning Based Computer-Aided Diagnosis System Improves the Accuracy and Efficiency of Radiologists in Reading Biparametric Magnetic Resonance Images of the Prostate: Results of a Multireader, Multicase Study.
Winkel DJ; Tong A; Lou B; Kamen A; Comaniciu D; Disselhorst JA; Rodríguez-Ruiz A; Huisman H; Szolar D; Shabunin I; Choi MH; Xing P; Penzkofer T; Grimm R; von Busch H; Boll DT
Invest Radiol; 2021 Oct; 56(10):605-613. PubMed ID: 33787537
[TBL] [Abstract][Full Text] [Related]
30. Diagnostic Performance and Interobserver Consistency of the Prostate Imaging Reporting and Data System Version 2: A Study on Six Prostate Radiologists with Different Experiences from Half a Year to 17 Years.
Ke Z; Wang L; Min XD; Feng ZY; Kang Z; Zhang PP; Li BS; You HJ; Hou SC
Chin Med J (Engl); 2018 Jul; 131(14):1666-1673. PubMed ID: 29998885
[TBL] [Abstract][Full Text] [Related]
31. Interactive Explainable Deep Learning Model Informs Prostate Cancer Diagnosis at MRI.
Hamm CA; Baumgärtner GL; Biessmann F; Beetz NL; Hartenstein A; Savic LJ; Froböse K; Dräger F; Schallenberg S; Rudolph M; Baur ADJ; Hamm B; Haas M; Hofbauer S; Cash H; Penzkofer T
Radiology; 2023 May; 307(4):e222276. PubMed ID: 37039688
[TBL] [Abstract][Full Text] [Related]
32. Evaluation of a Deep Learning-based Algorithm for Post-Radiotherapy Prostate Cancer Local Recurrence Detection Using Biparametric MRI.
Yilmaz EC; Harmon SA; Belue MJ; Merriman KM; Phelps TE; Lin Y; Garcia C; Hazen L; Patel KR; Merino MJ; Wood BJ; Choyke PL; Pinto PA; Citrin DE; Turkbey B
Eur J Radiol; 2023 Nov; 168():111095. PubMed ID: 37717420
[TBL] [Abstract][Full Text] [Related]
33. Comparison of PI-RADS version 2 and PI-RADS version 2.1 for the detection of transition zone prostate cancer.
Tamada T; Kido A; Takeuchi M; Yamamoto A; Miyaji Y; Kanomata N; Sone T
Eur J Radiol; 2019 Dec; 121():108704. PubMed ID: 31669798
[TBL] [Abstract][Full Text] [Related]
34. Artificial intelligence trained with integration of multiparametric MR-US imaging data and fusion biopsy trajectory-proven pathology data for 3D prediction of prostate cancer: A proof-of-concept study.
Kaneko M; Fukuda N; Nagano H; Yamada K; Yamada K; Konishi E; Sato Y; Ukimura O
Prostate; 2022 May; 82(7):793-803. PubMed ID: 35192229
[TBL] [Abstract][Full Text] [Related]
35. 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]
36. Performance of an AI based CAD system in solid lung nodule detection on chest phantom radiographs compared to radiology residents and fellow radiologists.
Peters AA; Decasper A; Munz J; Klaus J; Loebelenz LI; Hoffner MKM; Hourscht C; Heverhagen JT; Christe A; Ebner L
J Thorac Dis; 2021 May; 13(5):2728-2737. PubMed ID: 34164165
[TBL] [Abstract][Full Text] [Related]
37. Accuracy and Variability of Prostate Multiparametric Magnetic Resonance Imaging Interpretation Using the Prostate Imaging Reporting and Data System: A Blinded Comparison of Radiologists.
Pickersgill NA; Vetter JM; Andriole GL; Shetty AS; Fowler KJ; Mintz AJ; Siegel CL; Kim EH
Eur Urol Focus; 2020 Mar; 6(2):267-272. PubMed ID: 30327280
[TBL] [Abstract][Full Text] [Related]
38. Factors Influencing Variability in the Performance of Multiparametric Magnetic Resonance Imaging in Detecting Clinically Significant Prostate Cancer: A Systematic Literature Review.
Stabile A; Giganti F; Kasivisvanathan V; Giannarini G; Moore CM; Padhani AR; Panebianco V; Rosenkrantz AB; Salomon G; Turkbey B; Villeirs G; Barentsz JO
Eur Urol Oncol; 2020 Apr; 3(2):145-167. PubMed ID: 32192942
[TBL] [Abstract][Full Text] [Related]
39. Comparison of Biparametric and Multiparametric MRI for Clinically Significant Prostate Cancer Detection With PI-RADS Version 2.1.
Tamada T; Kido A; Yamamoto A; Takeuchi M; Miyaji Y; Moriya T; Sone T
J Magn Reson Imaging; 2021 Jan; 53(1):283-291. PubMed ID: 32614123
[TBL] [Abstract][Full Text] [Related]
40. [The value of machine learning models based on biparametric MRI for diagnosis of prostate cancer and clinically significant prostate cancer].
Qiao XM; Hu CH; Hu S; Hu CH; Wang XM; Shen JK; Ji LB; Song Y; Bao J
Zhonghua Yi Xue Za Zhi; 2023 May; 103(19):1446-1454. PubMed ID: 37198106
[No Abstract] [Full Text] [Related]
[Previous] [Next] [New Search]
