171 related articles for article (PubMed ID: 37403945)
1. A Channel-Dimensional Feature-Reconstructed Deep Learning Model for Predicting Breast Cancer Molecular Subtypes on Overall b-Value Diffusion-Weighted MRI.
Zhou XX; Zhang L; Cui QX; Li H; Sang XQ; Zhang HX; Zhu YM; Kuai ZX
J Magn Reson Imaging; 2024 Apr; 59(4):1425-1435. PubMed ID: 37403945
[TBL] [Abstract][Full Text] [Related]
2. Combination of DCE-MRI and NME-DWI via Deep Neural Network for Predicting Breast Cancer Molecular Subtypes.
Ba ZC; Zhang HX; Liu AY; Zhou XX; Liu L; Wang XY; Nanding A; Sang XQ; Kuai ZX
Clin Breast Cancer; 2024 Mar; ():. PubMed ID: 38555225
[TBL] [Abstract][Full Text] [Related]
3. Comparison of Dynamic Contrast-Enhanced MRI and Non-Mono-Exponential Model-Based Diffusion-Weighted Imaging for the Prediction of Prognostic Biomarkers and Molecular Subtypes of Breast Cancer Based on Radiomics.
Zhang L; Zhou XX; Liu L; Liu AY; Zhao WJ; Zhang HX; Zhu YM; Kuai ZX
J Magn Reson Imaging; 2023 Nov; 58(5):1590-1602. PubMed ID: 36661350
[TBL] [Abstract][Full Text] [Related]
4. MRI-Based Breast Cancer Classification and Localization by Multiparametric Feature Extraction and Combination Using Deep Learning.
Cong C; Li X; Zhang C; Zhang J; Sun K; Liu L; Ambale-Venkatesh B; Chen X; Wang Y
J Magn Reson Imaging; 2024 Jan; 59(1):148-161. PubMed ID: 37013422
[TBL] [Abstract][Full Text] [Related]
5. Deep Learning-Based Multiparametric MRI Model for Preoperative T-Stage in Rectal Cancer.
Wei Y; Wang H; Chen Z; Zhu Y; Li Y; Lu B; Pan K; Wen C; Cao G; He Y; Zhou J; Pan Z; Wang M
J Magn Reson Imaging; 2024 Mar; 59(3):1083-1092. PubMed ID: 37367938
[TBL] [Abstract][Full Text] [Related]
6. Assessment of Lymphovascular Invasion in Breast Cancer Using a Combined MRI Morphological Features, Radiomics, and Deep Learning Approach Based on Dynamic Contrast-Enhanced MRI.
Yang X; Fan X; Lin S; Zhou Y; Liu H; Wang X; Zuo Z; Zeng Y
J Magn Reson Imaging; 2024 Jun; 59(6):2238-2249. PubMed ID: 37855421
[TBL] [Abstract][Full Text] [Related]
7. Intra- and peritumoral radiomics on assessment of breast cancer molecular subtypes based on mammography and MRI.
Niu S; Jiang W; Zhao N; Jiang T; Dong Y; Luo Y; Yu T; Jiang X
J Cancer Res Clin Oncol; 2022 Jan; 148(1):97-106. PubMed ID: 34623517
[TBL] [Abstract][Full Text] [Related]
8. Multiparametric MRI model to predict molecular subtypes of breast cancer using Shapley additive explanations interpretability analysis.
Huang Y; Wang X; Cao Y; Li M; Li L; Chen H; Tang S; Lan X; Jiang F; Zhang J
Diagn Interv Imaging; 2024 May; 105(5):191-205. PubMed ID: 38272773
[TBL] [Abstract][Full Text] [Related]
9. Intra- and Peritumoral Based Radiomics for Assessment of Lymphovascular Invasion in Invasive Breast Cancer.
Jiang W; Meng R; Cheng Y; Wang H; Han T; Qu N; Yu T; Hou Y; Xu S
J Magn Reson Imaging; 2024 Feb; 59(2):613-625. PubMed ID: 37199241
[TBL] [Abstract][Full Text] [Related]
10. Generative adversarial network-based synthesis of contrast-enhanced MR images from precontrast images for predicting histological characteristics in breast cancer.
Fan M; Cao X; Lü F; Xie S; Yu Z; Chen Y; Lü Z; Li L
Phys Med Biol; 2024 Apr; 69(9):. PubMed ID: 38537294
[No Abstract] [Full Text] [Related]
11. A Deep Learning Model for Predicting Molecular Subtype of Breast Cancer by Fusing Multiple Sequences of DCE-MRI From Two Institutes.
Xie X; Zhou H; Ma M; Nie J; Gao W; Zhong J; Cao X; He X; Peng J; Hou Y; Zhao F; Chen X
Acad Radiol; 2024 Apr; ():. PubMed ID: 38637240
[TBL] [Abstract][Full Text] [Related]
12. Predictive value of triple negative breast cancer based on DCE-MRI multi-phase full-volume ROI clinical radiomics model.
Qi X; Wang W; Pan S; Liu G; Xia L; Duan S; He Y
Acta Radiol; 2024 Feb; 65(2):173-184. PubMed ID: 38017694
[TBL] [Abstract][Full Text] [Related]
13. Breast lesion morphology assessment with high and standard b values in diffusion-weighted imaging at 3 Tesla.
Christner SA; Grunz JP; Schlaiß T; Curtaz C; Kunz AS; Huflage H; Patzer TS; Bley TA; Sauer ST
Magn Reson Imaging; 2024 Apr; 107():100-110. PubMed ID: 38246517
[TBL] [Abstract][Full Text] [Related]
14. Multiparametric MRI model with dynamic contrast-enhanced and diffusion-weighted imaging enables breast cancer diagnosis with high accuracy.
Zhang M; Horvat JV; Bernard-Davila B; Marino MA; Leithner D; Ochoa-Albiztegui RE; Helbich TH; Morris EA; Thakur S; Pinker K
J Magn Reson Imaging; 2019 Mar; 49(3):864-874. PubMed ID: 30375702
[TBL] [Abstract][Full Text] [Related]
15. Diffusion-Weighted Magnetic Resonance Imaging for Preoperative Evaluation of Patients With Breast Cancer: Protocol of a Prospective, Multicenter, Observational Cohort Study.
Park VY; Shin HJ; Kang BJ; Kim MJ; Moon WK; Song SE; Ha SM
J Breast Cancer; 2023 Jun; 26(3):292-301. PubMed ID: 37272245
[TBL] [Abstract][Full Text] [Related]
16. Discrimination of Malignant and Benign Breast Lesions Using Quantitative Multiparametric MRI: A Preliminary Study.
Li K; Machireddy A; Tudorica A; Moloney B; Oh KY; Jafarian N; Partridge SC; Li X; Huang W
Tomography; 2020 Jun; 6(2):148-159. PubMed ID: 32548291
[TBL] [Abstract][Full Text] [Related]
17. IVIM and DCE-MRI in Predicting Phenotypic Subtypes and Nottingham Prognostic Index of Breast Cancer.
Sun Z; Zhou Z; Wang L; Zhu L; Chen Y; Liu Q
J Coll Physicians Surg Pak; 2024 Apr; 34(4):400-406. PubMed ID: 38576280
[TBL] [Abstract][Full Text] [Related]
18. Transfer Learning Strategy Based on Unsupervised Learning and Ensemble Learning for Breast Cancer Molecular Subtype Prediction Using Dynamic Contrast-Enhanced MRI.
Sun R; Hou X; Li X; Xie Y; Nie S
J Magn Reson Imaging; 2022 May; 55(5):1518-1534. PubMed ID: 34668601
[TBL] [Abstract][Full Text] [Related]
19. High-resolution diffusion-weighted imaging compared with conventional diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging with regard to image quality and assessment of breast cancer morphology.
Metin Y; Orhan Metin N; Kul S; Taşçı F; Özdemir O; Küpeli A
Diagn Interv Radiol; 2023 Mar; 29(2):251-259. PubMed ID: 36987843
[TBL] [Abstract][Full Text] [Related]
20. Invasive ductal breast cancer molecular subtype prediction by MRI radiomic and clinical features based on machine learning.
Sheng W; Xia S; Wang Y; Yan L; Ke S; Mellisa E; Gong F; Zheng Y; Tang T
Front Oncol; 2022; 12():964605. PubMed ID: 36172153
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
