163 related articles for article (PubMed ID: 37367938)
1. 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]
2. A Multiparametric Fusion Deep Learning Model Based on DCE-MRI for Preoperative Prediction of Microvascular Invasion in Intrahepatic Cholangiocarcinoma.
Gao W; Wang W; Song D; Wang K; Lian D; Yang C; Zhu K; Zheng J; Zeng M; Rao SX; Wang M
J Magn Reson Imaging; 2022 Oct; 56(4):1029-1039. PubMed ID: 35191550
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using CNN Based on Multiparametric MRI.
Wang Z; Sun H; Li J; Chen J; Meng F; Li H; Han L; Zhou S; Yu T
J Magn Reson Imaging; 2022 Sep; 56(3):700-709. PubMed ID: 35108415
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Development and external validation of a multiparametric MRI-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer: a retrospective multicenter study.
Li Z; Zhang J; Zhong Q; Feng Z; Shi Y; Xu L; Zhang R; Yu F; Lv B; Yang T; Huang C; Cui F; Chen F
Eur Radiol; 2023 Mar; 33(3):1835-1843. PubMed ID: 36282309
[TBL] [Abstract][Full Text] [Related]
7. A Deep Learning Model Based on MRI and Clinical Factors Facilitates Noninvasive Evaluation of KRAS Mutation in Rectal Cancer.
Liu H; Yin H; Li J; Dong X; Zheng H; Zhang T; Yin Q; Zhang Z; Lu M; Zhang H; Wang D
J Magn Reson Imaging; 2022 Dec; 56(6):1659-1668. PubMed ID: 35587946
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Multiparametric MR Imaging Radiomics Signatures for Assessing the Recurrence Risk of ER+/HER2- Breast Cancer Quantified With 21-Gene Recurrence Score.
Chen Y; Tang W; Liu W; Li R; Wang Q; Shen X; Gong J; Gu Y; Peng W
J Magn Reson Imaging; 2023 Aug; 58(2):444-453. PubMed ID: 36440706
[TBL] [Abstract][Full Text] [Related]
10. Attention-based Deep Learning for the Preoperative Differentiation of Axillary Lymph Node Metastasis in Breast Cancer on DCE-MRI.
Gao J; Zhong X; Li W; Li Q; Shao H; Wang Z; Dai Y; Ma H; Shi Y; Zhang H; Duan S; Zhang K; Yang P; Zhao F; Zhang H; Xie H; Mao N
J Magn Reson Imaging; 2023 Jun; 57(6):1842-1853. PubMed ID: 36219519
[TBL] [Abstract][Full Text] [Related]
11. Deep Learning Radiomics for the Assessment of Telomerase Reverse Transcriptase Promoter Mutation Status in Patients With Glioblastoma Using Multiparametric MRI.
Zhang H; Zhang H; Zhang Y; Zhou B; Wu L; Lei Y; Huang B
J Magn Reson Imaging; 2023 Nov; 58(5):1441-1451. PubMed ID: 36896953
[TBL] [Abstract][Full Text] [Related]
12. Deep-learning-based 3D super-resolution MRI radiomics model: superior predictive performance in preoperative T-staging of rectal cancer.
Hou M; Zhou L; Sun J
Eur Radiol; 2023 Jan; 33(1):1-10. PubMed ID: 35726100
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Prediction of lymph node metastasis in stage T1-2 rectal cancers with MRI-based deep learning.
Wan L; Hu J; Chen S; Zhao R; Peng W; Liu Y; Hu S; Zou S; Wang S; Zhao X; Zhang H
Eur Radiol; 2023 May; 33(5):3638-3646. PubMed ID: 36905470
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Deep learning referral suggestion and tumour discrimination using explainable artificial intelligence applied to multiparametric MRI.
Shin H; Park JE; Jun Y; Eo T; Lee J; Kim JE; Lee DH; Moon HH; Park SI; Kim S; Hwang D; Kim HS
Eur Radiol; 2023 Aug; 33(8):5859-5870. PubMed ID: 37150781
[TBL] [Abstract][Full Text] [Related]
17. Pretreatment Multiparametric MRI-Based Radiomics Analysis for the Diagnosis of Breast Phyllodes Tumors.
Ma X; Gong J; Hu F; Tang W; Gu Y; Peng W
J Magn Reson Imaging; 2023 Feb; 57(2):633-645. PubMed ID: 35657093
[TBL] [Abstract][Full Text] [Related]
18. Deep Learning Radiomics Model of Dynamic Contrast-Enhanced MRI for Evaluating Vessels Encapsulating Tumor Clusters and Prognosis in Hepatocellular Carcinoma.
Dong X; Yang J; Zhang B; Li Y; Wang G; Chen J; Wei Y; Zhang H; Chen Q; Jin S; Wang L; He H; Gan M; Ji W
J Magn Reson Imaging; 2024 Jan; 59(1):108-119. PubMed ID: 37078470
[TBL] [Abstract][Full Text] [Related]
19. Automated deep learning method for whole-breast segmentation in diffusion-weighted breast MRI.
Zhang L; Mohamed AA; Chai R; Guo Y; Zheng B; Wu S
J Magn Reson Imaging; 2020 Feb; 51(2):635-643. PubMed ID: 31301201
[TBL] [Abstract][Full Text] [Related]
20. Predicting of axillary lymph node metastasis in invasive breast cancer using multiparametric MRI dataset based on CNN model.
Zhang X; Liu M; Ren W; Sun J; Wang K; Xi X; Zhang G
Front Oncol; 2022; 12():1069733. PubMed ID: 36561533
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
