236 related articles for article (PubMed ID: 32804986)
1. FeAture Explorer (FAE): A tool for developing and comparing radiomics models.
Song Y; Zhang J; Zhang YD; Hou Y; Yan X; Wang Y; Zhou M; Yao YF; Yang G
PLoS One; 2020; 15(8):e0237587. PubMed ID: 32804986
[TBL] [Abstract][Full Text] [Related]
2. A new machine learning based user-friendly software platform for automatic radiomics modeling and analysis.
Zhou Z; Qian X; Hu J; Zhu J; Geng C; Dai Y
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():2810-2814. PubMed ID: 34891833
[TBL] [Abstract][Full Text] [Related]
3. An investigation of machine learning methods in delta-radiomics feature analysis.
Chang Y; Lafata K; Sun W; Wang C; Chang Z; Kirkpatrick JP; Yin FF
PLoS One; 2019; 14(12):e0226348. PubMed ID: 31834910
[TBL] [Abstract][Full Text] [Related]
4. Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization.
Toivonen J; Montoya Perez I; Movahedi P; Merisaari H; Pesola M; Taimen P; Boström PJ; Pohjankukka J; Kiviniemi A; Pahikkala T; Aronen HJ; Jambor I
PLoS One; 2019; 14(7):e0217702. PubMed ID: 31283771
[TBL] [Abstract][Full Text] [Related]
5. Automated multiparametric localization of prostate cancer based on B-mode, shear-wave elastography, and contrast-enhanced ultrasound radiomics.
Wildeboer RR; Mannaerts CK; van Sloun RJG; Budäus L; Tilki D; Wijkstra H; Salomon G; Mischi M
Eur Radiol; 2020 Feb; 30(2):806-815. PubMed ID: 31602512
[TBL] [Abstract][Full Text] [Related]
6. Prostate Cancer Differentiation and Aggressiveness: Assessment With a Radiomic-Based Model vs. PI-RADS v2.
Chen T; Li M; Gu Y; Zhang Y; Yang S; Wei C; Wu J; Li X; Zhao W; Shen J
J Magn Reson Imaging; 2019 Mar; 49(3):875-884. PubMed ID: 30230108
[TBL] [Abstract][Full Text] [Related]
7. Machine learning to differentiate small round cell malignant tumors and non-small round cell malignant tumors of the nasal and paranasal sinuses using apparent diffusion coefficient values.
Chen C; Qin Y; Chen H; Cheng J; He B; Wan Y; Zhu D; Gao F; Zhou X
Eur Radiol; 2022 Jun; 32(6):3819-3829. PubMed ID: 35029732
[TBL] [Abstract][Full Text] [Related]
8. Texture Analysis of Fat-Suppressed T2-Weighted Magnetic Resonance Imaging and Use of Machine Learning to Discriminate Nasal and Paranasal Sinus Small Round Malignant Cell Tumors.
Chen C; Qin Y; Cheng J; Gao F; Zhou X
Front Oncol; 2021; 11():701289. PubMed ID: 34966664
[TBL] [Abstract][Full Text] [Related]
9. Prediction of prostate cancer aggressiveness with a combination of radiomics and machine learning-based analysis of dynamic contrast-enhanced MRI.
Liu B; Cheng J; Guo DJ; He XJ; Luo YD; Zeng Y; Li CM
Clin Radiol; 2019 Nov; 74(11):896.e1-896.e8. PubMed ID: 31495546
[TBL] [Abstract][Full Text] [Related]
10. Machine learning-based radiomics strategy for prediction of cell proliferation in non-small cell lung cancer.
Gu Q; Feng Z; Liang Q; Li M; Deng J; Ma M; Wang W; Liu J; Liu P; Rong P
Eur J Radiol; 2019 Sep; 118():32-37. PubMed ID: 31439255
[TBL] [Abstract][Full Text] [Related]
11. MAPS: A Quantitative Radiomics Approach for Prostate Cancer Detection.
Cameron A; Khalvati F; Haider MA; Wong A
IEEE Trans Biomed Eng; 2016 Jun; 63(6):1145-56. PubMed ID: 26441442
[TBL] [Abstract][Full Text] [Related]
12. An artificial intelligence-assisted diagnosis modeling software (AIMS) platform based on medical images and machine learning: a development and validation study.
Zhou Z; Qian X; Hu J; Chen G; Zhang C; Zhu J; Dai Y
Quant Imaging Med Surg; 2023 Nov; 13(11):7504-7522. PubMed ID: 37969634
[TBL] [Abstract][Full Text] [Related]
13. Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study.
Ginsburg SB; Algohary A; Pahwa S; Gulani V; Ponsky L; Aronen HJ; Boström PJ; Böhm M; Haynes AM; Brenner P; Delprado W; Thompson J; Pulbrock M; Taimen P; Villani R; Stricker P; Rastinehad AR; Jambor I; Madabhushi A
J Magn Reson Imaging; 2017 Jul; 46(1):184-193. PubMed ID: 27990722
[TBL] [Abstract][Full Text] [Related]
14. Objective risk stratification of prostate cancer using machine learning and radiomics applied to multiparametric magnetic resonance images.
Varghese B; Chen F; Hwang D; Palmer SL; De Castro Abreu AL; Ukimura O; Aron M; Aron M; Gill I; Duddalwar V; Pandey G
Sci Rep; 2019 Feb; 9(1):1570. PubMed ID: 30733585
[TBL] [Abstract][Full Text] [Related]
15. Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer.
Abdollahi H; Mofid B; Shiri I; Razzaghdoust A; Saadipoor A; Mahdavi A; Galandooz HM; Mahdavi SR
Radiol Med; 2019 Jun; 124(6):555-567. PubMed ID: 30607868
[TBL] [Abstract][Full Text] [Related]
16. Computer-aided diagnosis of prostate cancer in the peripheral zone using multiparametric MRI.
Niaf E; Rouvière O; Mège-Lechevallier F; Bratan F; Lartizien C
Phys Med Biol; 2012 Jun; 57(12):3833-51. PubMed ID: 22640958
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Radiomics MRI Phenotyping with Machine Learning to Predict the Grade of Lower-Grade Gliomas: A Study Focused on Nonenhancing Tumors.
Park YW; Choi YS; Ahn SS; Chang JH; Kim SH; Lee SK
Korean J Radiol; 2019 Sep; 20(9):1381-1389. PubMed ID: 31464116
[TBL] [Abstract][Full Text] [Related]
19. Multiparametric MRI for Prostate Cancer Characterization: Combined Use of Radiomics Model with PI-RADS and Clinical Parameters.
Woźnicki P; Westhoff N; Huber T; Riffel P; Froelich MF; Gresser E; von Hardenberg J; Mühlberg A; Michel MS; Schoenberg SO; Nörenberg D
Cancers (Basel); 2020 Jul; 12(7):. PubMed ID: 32630787
[TBL] [Abstract][Full Text] [Related]
20. Radiomics assessment of bladder cancer grade using texture features from diffusion-weighted imaging.
Zhang X; Xu X; Tian Q; Li B; Wu Y; Yang Z; Liang Z; Liu Y; Cui G; Lu H
J Magn Reson Imaging; 2017 Nov; 46(5):1281-1288. PubMed ID: 28199039
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
