536 related articles for article (PubMed ID: 31592731)
1. Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment.
Schelb P; Kohl S; Radtke JP; Wiesenfarth M; Kickingereder P; Bickelhaupt S; Kuder TA; Stenzinger A; Hohenfellner M; Schlemmer HP; Maier-Hein KH; Bonekamp D
Radiology; 2019 Dec; 293(3):607-617. PubMed ID: 31592731
[TBL] [Abstract][Full Text] [Related]
2. Fully Automatic Deep Learning in Bi-institutional Prostate Magnetic Resonance Imaging: Effects of Cohort Size and Heterogeneity.
Netzer N; Weißer C; Schelb P; Wang X; Qin X; Görtz M; Schütz V; Radtke JP; Hielscher T; Schwab C; Stenzinger A; Kuder TA; Gnirs R; Hohenfellner M; Schlemmer HP; Maier-Hein KH; Bonekamp D
Invest Radiol; 2021 Dec; 56(12):799-808. PubMed ID: 34049336
[TBL] [Abstract][Full Text] [Related]
3. Simulated clinical deployment of fully automatic deep learning for clinical prostate MRI assessment.
Schelb P; Wang X; Radtke JP; Wiesenfarth M; Kickingereder P; Stenzinger A; Hohenfellner M; Schlemmer HP; Maier-Hein KH; Bonekamp D
Eur Radiol; 2021 Jan; 31(1):302-313. PubMed ID: 32767102
[TBL] [Abstract][Full Text] [Related]
4. A Cascaded Deep Learning-Based Artificial Intelligence Algorithm for Automated Lesion Detection and Classification on Biparametric Prostate Magnetic Resonance Imaging.
Mehralivand S; Yang D; Harmon SA; Xu D; Xu Z; Roth H; Masoudi S; Sanford TH; Kesani D; Lay NS; Merino MJ; Wood BJ; Pinto PA; Choyke PL; Turkbey B
Acad Radiol; 2022 Aug; 29(8):1159-1168. PubMed ID: 34598869
[TBL] [Abstract][Full Text] [Related]
5. Variability of the Positive Predictive Value of PI-RADS for Prostate MRI across 26 Centers: Experience of the Society of Abdominal Radiology Prostate Cancer Disease-focused Panel.
Westphalen AC; McCulloch CE; Anaokar JM; Arora S; Barashi NS; Barentsz JO; Bathala TK; Bittencourt LK; Booker MT; Braxton VG; Carroll PR; Casalino DD; Chang SD; Coakley FV; Dhatt R; Eberhardt SC; Foster BR; Froemming AT; Fütterer JJ; Ganeshan DM; Gertner MR; Mankowski Gettle L; Ghai S; Gupta RT; Hahn ME; Houshyar R; Kim C; Kim CK; Lall C; Margolis DJA; McRae SE; Oto A; Parsons RB; Patel NU; Pinto PA; Polascik TJ; Spilseth B; Starcevich JB; Tammisetti VS; Taneja SS; Turkbey B; Verma S; Ward JF; Warlick CA; Weinberger AR; Yu J; Zagoria RJ; Rosenkrantz AB
Radiology; 2020 Jul; 296(1):76-84. PubMed ID: 32315265
[TBL] [Abstract][Full Text] [Related]
6. Contribution of Dynamic Contrast-enhanced and Diffusion MRI to PI-RADS for Detecting Clinically Significant Prostate Cancer.
Tavakoli AA; Hielscher T; Badura P; Görtz M; Kuder TA; Gnirs R; Schwab C; Hohenfellner M; Schlemmer HP; Bonekamp D
Radiology; 2023 Jan; 306(1):186-199. PubMed ID: 35972360
[TBL] [Abstract][Full Text] [Related]
7. Application of a validated prostate MRI deep learning system to independent same-vendor multi-institutional data: demonstration of transferability.
Netzer N; Eith C; Bethge O; Hielscher T; Schwab C; Stenzinger A; Gnirs R; Schlemmer HP; Maier-Hein KH; Schimmöller L; Bonekamp D
Eur Radiol; 2023 Nov; 33(11):7463-7476. PubMed ID: 37507610
[TBL] [Abstract][Full Text] [Related]
8. An integrated nomogram combining deep learning, Prostate Imaging-Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: a retrospective multicentre study.
Hiremath A; Shiradkar R; Fu P; Mahran A; Rastinehad AR; Tewari A; Tirumani SH; Purysko A; Ponsky L; Madabhushi A
Lancet Digit Health; 2021 Jul; 3(7):e445-e454. PubMed ID: 34167765
[TBL] [Abstract][Full Text] [Related]
9. Deep Learning-Based T2-Weighted MR Image Quality Assessment and Its Impact on Prostate Cancer Detection Rates.
Lin Y; Belue MJ; Yilmaz EC; Harmon SA; An J; Law YM; Hazen L; Garcia C; Merriman KM; Phelps TE; Lay NS; Toubaji A; Merino MJ; Wood BJ; Gurram S; Choyke PL; Pinto PA; Turkbey B
J Magn Reson Imaging; 2024 Jun; 59(6):2215-2223. PubMed ID: 37811666
[TBL] [Abstract][Full Text] [Related]
10. Improvement of PI-RADS-dependent prostate cancer classification by quantitative image assessment using radiomics or mean ADC.
Zhang KS; Schelb P; Kohl S; Radtke JP; Wiesenfarth M; Schimmöller L; Kuder TA; Stenzinger A; Hohenfellner M; Schlemmer HP; Maier-Hein K; Bonekamp D
Magn Reson Imaging; 2021 Oct; 82():9-17. PubMed ID: 34147597
[TBL] [Abstract][Full Text] [Related]
11. Diagnostic Performance of
Margel D; Bernstine H; Groshar D; Ber Y; Nezrit O; Segal N; Yakimov M; Baniel J; Domachevsky L
Radiology; 2021 Nov; 301(2):379-386. PubMed ID: 34463555
[TBL] [Abstract][Full Text] [Related]
12. Magnetic Resonance Imaging Radiomics-Based Machine Learning Prediction of Clinically Significant Prostate Cancer in Equivocal PI-RADS 3 Lesions.
Hectors SJ; Chen C; Chen J; Wang J; Gordon S; Yu M; Al Hussein Al Awamlh B; Sabuncu MR; Margolis DJA; Hu JC
J Magn Reson Imaging; 2021 Nov; 54(5):1466-1473. PubMed ID: 33970516
[TBL] [Abstract][Full Text] [Related]
13. Deep-Learning Models for Detection and Localization of Visible Clinically Significant Prostate Cancer on Multi-Parametric MRI.
Sun Z; Wu P; Cui Y; Liu X; Wang K; Gao G; Wang H; Zhang X; Wang X
J Magn Reson Imaging; 2023 Oct; 58(4):1067-1081. PubMed ID: 36825823
[TBL] [Abstract][Full Text] [Related]
14. Comparison of Prostate MRI Lesion Segmentation Agreement Between Multiple Radiologists and a Fully Automatic Deep Learning System.
Schelb P; Tavakoli AA; Tubtawee T; Hielscher T; Radtke JP; Görtz M; Schütz V; Kuder TA; Schimmöller L; Stenzinger A; Hohenfellner M; Schlemmer HP; Bonekamp D
Rofo; 2021 May; 193(5):559-573. PubMed ID: 33212541
[TBL] [Abstract][Full Text] [Related]
15. Histopathological to multiparametric MRI spatial mapping of extended systematic sextant and MR/TRUS-fusion-targeted biopsy of the prostate.
Bonekamp D; Schelb P; Wiesenfarth M; Kuder TA; Deister F; Stenzinger A; Nyarangi-Dix J; Röthke M; Hohenfellner M; Schlemmer HP; Radtke JP
Eur Radiol; 2019 Apr; 29(4):1820-1830. PubMed ID: 30327861
[TBL] [Abstract][Full Text] [Related]
16. The Negative Predictive Value of a PI-RADS Version 2 Score of 1 on Prostate MRI and the Factors Associated With a False-Negative MRI Study.
Ma HY; Ahmed FS; Luk L; Martina LAP; Wenske S; Shaish H
AJR Am J Roentgenol; 2020 Sep; 215(3):667-672. PubMed ID: 32755155
[No Abstract] [Full Text] [Related]
17. Pseudoprospective Paraclinical Interaction of Radiology Residents With a Deep Learning System for Prostate Cancer Detection: Experience, Performance, and Identification of the Need for Intermittent Recalibration.
Zhang KS; Schelb P; Netzer N; Tavakoli AA; Keymling M; Wehrse E; Hog R; Rotkopf LT; Wennmann M; Glemser PA; Thierjung H; von Knebel Doeberitz N; Kleesiek J; Görtz M; Schütz V; Hielscher T; Stenzinger A; Hohenfellner M; Schlemmer HP; Maier-Hein K; Bonekamp D
Invest Radiol; 2022 Sep; 57(9):601-612. PubMed ID: 35467572
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Risk of Clinically Significant Prostate Cancer Associated With Prostate Imaging Reporting and Data System Category 3 (Equivocal) Lesions Identified on Multiparametric Prostate MRI.
Sheridan AD; Nath SK; Syed JS; Aneja S; Sprenkle PC; Weinreb JC; Spektor M
AJR Am J Roentgenol; 2018 Feb; 210(2):347-357. PubMed ID: 29112469
[TBL] [Abstract][Full Text] [Related]
20. Prostate Imaging Reporting and Data System and Likert Scoring System: Multiparametric MR Imaging Validation Study to Screen Patients for Initial Biopsy.
Renard-Penna R; Mozer P; Cornud F; Barry-Delongchamps N; Bruguière E; Portalez D; Malavaud B
Radiology; 2015 May; 275(2):458-68. PubMed ID: 25599415
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
