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.


Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

149 related articles for article (PubMed ID: 37504495)

  • 1. Weakly Supervised MRI Slice-Level Deep Learning Classification of Prostate Cancer Approximates Full Voxel- and Slice-Level Annotation: Effect of Increasing Training Set Size.
    Weißer C; Netzer N; Görtz M; Schütz V; Hielscher T; Schwab C; Hohenfellner M; Schlemmer HP; Maier-Hein KH; Bonekamp D
    J Magn Reson Imaging; 2024 Apr; 59(4):1409-1422. PubMed ID: 37504495
    [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. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. Comparison of a Deep Learning-Accelerated vs. Conventional T2-Weighted Sequence in Biparametric MRI of the Prostate.
    Tong A; Bagga B; Petrocelli R; Smereka P; Vij A; Qian K; Grimm R; Kamen A; Keerthivasan MB; Nickel MD; von Busch H; Chandarana H
    J Magn Reson Imaging; 2023 Oct; 58(4):1055-1064. PubMed ID: 36651358
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep Learning Reconstruction Enables Highly Accelerated Biparametric MR Imaging of the Prostate.
    Johnson PM; Tong A; Donthireddy A; Melamud K; Petrocelli R; Smereka P; Qian K; Keerthivasan MB; Chandarana H; Knoll F
    J Magn Reson Imaging; 2022 Jul; 56(1):184-195. PubMed ID: 34877735
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images.
    Zhou J; Luo LY; Dou Q; Chen H; Chen C; Li GJ; Jiang ZF; Heng PA
    J Magn Reson Imaging; 2019 Oct; 50(4):1144-1151. PubMed ID: 30924997
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Detecting Adverse Pathology of Prostate Cancer With a Deep Learning Approach Based on a 3D Swin-Transformer Model and Biparametric MRI: A Multicenter Retrospective Study.
    Zhao L; Bao J; Wang X; Qiao X; Shen J; Zhang Y; Jin P; Ji Y; Zhang J; Su Y; Ji L; Li Z; Lu J; Hu C; Shen H; Tian J; Liu J
    J Magn Reson Imaging; 2024 Jun; 59(6):2101-2112. PubMed ID: 37602942
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Editorial for "Weakly Supervised MRI Slice-Level Deep Learning Classification of Prostate Cancer Approximates Full Voxel- and Slice-Level Annotation: Effect of Increasing Training Set Size".
    Zhuang J
    J Magn Reson Imaging; 2024 Apr; 59(4):1423-1424. PubMed ID: 37410060
    [No Abstract]   [Full Text] [Related]  

  • 17. Automatic T Staging Using Weakly Supervised Deep Learning for Nasopharyngeal Carcinoma on MR Images.
    Yang Q; Guo Y; Ou X; Wang J; Hu C
    J Magn Reson Imaging; 2020 Oct; 52(4):1074-1082. PubMed ID: 32583578
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prostate Age Gap: An MRI Surrogate Marker of Aging for Prostate Cancer Detection.
    Fernandez-Quilez A; Nordström T; Jäderling F; Kjosavik SR; Eklund M
    J Magn Reson Imaging; 2024 Aug; 60(2):458-468. PubMed ID: 37855699
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning-assisted prostate cancer detection on bi-parametric MRI: minimum training data size requirements and effect of prior knowledge.
    Hosseinzadeh M; Saha A; Brand P; Slootweg I; de Rooij M; Huisman H
    Eur Radiol; 2022 Apr; 32(4):2224-2234. PubMed ID: 34786615
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Effectiveness and Accuracy of MRI-Ultrasound Fusion Targeted Biopsy Based on PI-RADS v2.1 Category in Transition/Peripheral Zone of the Prostate.
    Liu Y; Wang S; Xu G; Zhou B; Zhang Y; Ye B; Xiang L; Zhang Y; Xu H
    J Magn Reson Imaging; 2023 Sep; 58(3):709-717. PubMed ID: 36773016
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.