538 related articles for article (PubMed ID: 35633505)
1. Bridging the gap between prostate radiology and pathology through machine learning.
Bhattacharya I; Lim DS; Aung HL; Liu X; Seetharaman A; Kunder CA; Shao W; Soerensen SJC; Fan RE; Ghanouni P; To'o KJ; Brooks JD; Sonn GA; Rusu M
Med Phys; 2022 Aug; 49(8):5160-5181. PubMed ID: 35633505
[TBL] [Abstract][Full Text] [Related]
2. Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework.
Bhattacharya I; Seetharaman A; Kunder C; Shao W; Chen LC; Soerensen SJC; Wang JB; Teslovich NC; Fan RE; Ghanouni P; Brooks JD; Sonn GA; Rusu M
Med Image Anal; 2022 Jan; 75():102288. PubMed ID: 34784540
[TBL] [Abstract][Full Text] [Related]
3. Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging.
Seetharaman A; Bhattacharya I; Chen LC; Kunder CA; Shao W; Soerensen SJC; Wang JB; Teslovich NC; Fan RE; Ghanouni P; Brooks JD; Too KJ; Sonn GA; Rusu M
Med Phys; 2021 Jun; 48(6):2960-2972. PubMed ID: 33760269
[TBL] [Abstract][Full Text] [Related]
4. Multi-scale statistical deformation based co-registration of prostate MRI and post-surgical whole mount histopathology.
Li L; Shiradkar R; Gottlieb N; Buzzy C; Hiremath A; Viswanathan VS; MacLennan GT; Lima DO; Gupta K; Shen DL; Tirumani SH; Magi-Galluzzi C; Purysko A; Madabhushi A
Med Phys; 2024 Apr; 51(4):2549-2562. PubMed ID: 37742344
[TBL] [Abstract][Full Text] [Related]
5. Registration of presurgical MRI and histopathology images from radical prostatectomy via RAPSODI.
Rusu M; Shao W; Kunder CA; Wang JB; Soerensen SJC; Teslovich NC; Sood RR; Chen LC; Fan RE; Ghanouni P; Brooks JD; Sonn GA
Med Phys; 2020 Sep; 47(9):4177-4188. PubMed ID: 32564359
[TBL] [Abstract][Full Text] [Related]
6. ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate.
Shao W; Banh L; Kunder CA; Fan RE; Soerensen SJC; Wang JB; Teslovich NC; Madhuripan N; Jawahar A; Ghanouni P; Brooks JD; Sonn GA; Rusu M
Med Image Anal; 2021 Feb; 68():101919. PubMed ID: 33385701
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate.
Shao W; Vesal S; Soerensen SJC; Bhattacharya I; Golestani N; Yamashita R; Kunder CA; Fan RE; Ghanouni P; Brooks JD; Sonn GA; Rusu M
Comput Biol Med; 2024 May; 173():108318. PubMed ID: 38522253
[TBL] [Abstract][Full Text] [Related]
9. 3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction.
Sood RR; Shao W; Kunder C; Teslovich NC; Wang JB; Soerensen SJC; Madhuripan N; Jawahar A; Brooks JD; Ghanouni P; Fan RE; Sonn GA; Rusu M
Med Image Anal; 2021 Apr; 69():101957. PubMed ID: 33550008
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Radio-pathomic Maps of Epithelium and Lumen Density Predict the Location of High-Grade Prostate Cancer.
McGarry SD; Hurrell SL; Iczkowski KA; Hall W; Kaczmarowski AL; Banerjee A; Keuter T; Jacobsohn K; Bukowy JD; Nevalainen MT; Hohenwalter MD; See WA; LaViolette PS
Int J Radiat Oncol Biol Phys; 2018 Aug; 101(5):1179-1187. PubMed ID: 29908785
[TBL] [Abstract][Full Text] [Related]
12. The Key Combined Value of Multiparametric Magnetic Resonance Imaging, and Magnetic Resonance Imaging-targeted and Concomitant Systematic Biopsies for the Prediction of Adverse Pathological Features in Prostate Cancer Patients Undergoing Radical Prostatectomy.
Gandaglia G; Ploussard G; Valerio M; Mattei A; Fiori C; Roumiguié M; Fossati N; Stabile A; Beauval JB; Malavaud B; Scuderi S; Barletta F; Moschini M; Zamboni S; Rakauskas A; Tian Z; Karakiewicz PI; De Cobelli F; Porpiglia F; Montorsi F; Briganti A
Eur Urol; 2020 Jun; 77(6):733-741. PubMed ID: 31547938
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Artificial Intelligence in Magnetic Resonance Imaging-based Prostate Cancer Diagnosis: Where Do We Stand in 2021?
Suarez-Ibarrola R; Sigle A; Eklund M; Eberli D; Miernik A; Benndorf M; Bamberg F; Gratzke C
Eur Urol Focus; 2022 Mar; 8(2):409-417. PubMed ID: 33773964
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features.
Bernatz S; Ackermann J; Mandel P; Kaltenbach B; Zhdanovich Y; Harter PN; Döring C; Hammerstingl R; Bodelle B; Smith K; Bucher A; Albrecht M; Rosbach N; Basten L; Yel I; Wenzel M; Bankov K; Koch I; Chun FK; Köllermann J; Wild PJ; Vogl TJ
Eur Radiol; 2020 Dec; 30(12):6757-6769. PubMed ID: 32676784
[TBL] [Abstract][Full Text] [Related]
17. Prospective analysis of clinically significant prostate cancer detection with [
Bodar YJL; Zwezerijnen BGJC; van der Voorn PJ; Jansen BHE; Smit RS; Kol SQ; Meijer D; de Bie K; Yaqub M; Windhorst BAD; Hendrikse HNH; Vis AN; Oprea-Lager DE
Eur J Nucl Med Mol Imaging; 2022 Apr; 49(5):1731-1742. PubMed ID: 34725727
[TBL] [Abstract][Full Text] [Related]
18. Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification.
Otálora S; Marini N; Müller H; Atzori M
BMC Med Imaging; 2021 May; 21(1):77. PubMed ID: 33964886
[TBL] [Abstract][Full Text] [Related]
19. Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images.
Xiang J; Wang X; Wang X; Zhang J; Yang S; Yang W; Han X; Liu Y
Comput Biol Med; 2023 Jan; 152():106340. PubMed ID: 36481762
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
