118 related articles for article (PubMed ID: 38154327)
1. Self-supervised tumor segmentation and prognosis prediction in osteosarcoma using multiparametric MRI and clinical characteristics.
Zhou Z; Xie P; Dai Z; Wu J
Comput Methods Programs Biomed; 2024 Feb; 244():107974. PubMed ID: 38154327
[TBL] [Abstract][Full Text] [Related]
2. Automated prediction of the neoadjuvant chemotherapy response in osteosarcoma with deep learning and an MRI-based radiomics nomogram.
Zhong J; Zhang C; Hu Y; Zhang J; Liu Y; Si L; Xing Y; Ding D; Geng J; Jiao Q; Zhang H; Yang G; Yao W
Eur Radiol; 2022 Sep; 32(9):6196-6206. PubMed ID: 35364712
[TBL] [Abstract][Full Text] [Related]
3. Development and external validation of an MRI-based radiomics nomogram for pretreatment prediction for early relapse in osteosarcoma: A retrospective multicenter study.
Chen H; Liu J; Cheng Z; Lu X; Wang X; Lu M; Li S; Xiang Z; Zhou Q; Liu Z; Zhao Y
Eur J Radiol; 2020 Aug; 129():109066. PubMed ID: 32502729
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Intelligent Segmentation Medical Assistance System for MRI Images of Osteosarcoma in Developing Countries.
Wu J; Yang S; Gou F; Zhou Z; Xie P; Xu N; Dai Z
Comput Math Methods Med; 2022; 2022():7703583. PubMed ID: 35096135
[TBL] [Abstract][Full Text] [Related]
6. Automated Prediction of Early Recurrence in Advanced Sinonasal Squamous Cell Carcinoma With Deep Learning and Multi-parametric MRI-based Radiomics Nomogram.
Lin M; Lin N; Yu S; Sha Y; Zeng Y; Liu A; Niu Y
Acad Radiol; 2023 Oct; 30(10):2201-2211. PubMed ID: 36925335
[TBL] [Abstract][Full Text] [Related]
7. Multiparametric MRI-based radiomics nomogram for preoperative prediction of lymphovascular invasion and clinical outcomes in patients with breast invasive ductal carcinoma.
Zhang J; Wang G; Ren J; Yang Z; Li D; Cui Y; Yang X
Eur Radiol; 2022 Jun; 32(6):4079-4089. PubMed ID: 35050415
[TBL] [Abstract][Full Text] [Related]
8. Multiparametric magnetic resonance imaging-derived radiomics for the prediction of disease-free survival in early-stage squamous cervical cancer.
Zhou Y; Gu HL; Zhang XL; Tian ZF; Xu XQ; Tang WW
Eur Radiol; 2022 Apr; 32(4):2540-2551. PubMed ID: 34642807
[TBL] [Abstract][Full Text] [Related]
9. Intelligent Assistant Diagnosis System of Osteosarcoma MRI Image Based on Transformer and Convolution in Developing Countries.
Ling Z; Yang S; Gou F; Dai Z; Wu J
IEEE J Biomed Health Inform; 2022 Nov; 26(11):5563-5574. PubMed ID: 35921344
[TBL] [Abstract][Full Text] [Related]
10. Prediction of response to preoperative neoadjuvant chemotherapy in extremity high-grade osteosarcoma using X-ray and multiparametric MRI radiomics.
Luo Z; Li J; Liao Y; Huang W; Li Y; Shen X
J Xray Sci Technol; 2023; 31(3):611-626. PubMed ID: 37005907
[TBL] [Abstract][Full Text] [Related]
11. DECIDE: A decoupled semantic and boundary learning network for precise osteosarcoma segmentation by integrating multi-modality MRI.
Wu Y; Li J; Wang X; Zhang Z; Zhao S
Comput Biol Med; 2024 May; 174():108308. PubMed ID: 38581998
[TBL] [Abstract][Full Text] [Related]
12. Glioma grading prediction using multiparametric magnetic resonance imaging-based radiomics combined with proton magnetic resonance spectroscopy and diffusion tensor imaging.
Lin K; Cidan W; Qi Y; Wang X
Med Phys; 2022 Jul; 49(7):4419-4429. PubMed ID: 35366379
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Radiomics Analysis of Multiparametric MRI for Prediction of Synchronous Lung Metastases in Osteosarcoma.
Luo Z; Li J; Liao Y; Liu R; Shen X; Chen W
Front Oncol; 2022; 12():802234. PubMed ID: 35273911
[TBL] [Abstract][Full Text] [Related]
15. A radiomics nomogram based on multiparametric MRI might stratify glioblastoma patients according to survival.
Zhang X; Lu H; Tian Q; Feng N; Yin L; Xu X; Du P; Liu Y
Eur Radiol; 2019 Oct; 29(10):5528-5538. PubMed ID: 30847586
[TBL] [Abstract][Full Text] [Related]
16. MRI-based radiomics signature for pretreatment prediction of pathological response to neoadjuvant chemotherapy in osteosarcoma: a multicenter study.
Chen H; Zhang X; Wang X; Quan X; Deng Y; Lu M; Wei Q; Ye Q; Zhou Q; Xiang Z; Liang C; Yang W; Zhao Y
Eur Radiol; 2021 Oct; 31(10):7913-7924. PubMed ID: 33825032
[TBL] [Abstract][Full Text] [Related]
17. BA-GCA Net: Boundary-Aware Grid Contextual Attention Net in Osteosarcoma MRI Image Segmentation.
Wu J; Liu Z; Gou F; Zhu J; Tang H; Zhou X; Xiong W
Comput Intell Neurosci; 2022; 2022():3881833. PubMed ID: 35942441
[TBL] [Abstract][Full Text] [Related]
18. Diffusion- and perfusion-weighted MRI radiomics model may predict isocitrate dehydrogenase (IDH) mutation and tumor aggressiveness in diffuse lower grade glioma.
Kim M; Jung SY; Park JE; Jo Y; Park SY; Nam SJ; Kim JH; Kim HS
Eur Radiol; 2020 Apr; 30(4):2142-2151. PubMed ID: 31828414
[TBL] [Abstract][Full Text] [Related]
19. Feasibility of multi-parametric magnetic resonance imaging combined with machine learning in the assessment of necrosis of osteosarcoma after neoadjuvant chemotherapy: a preliminary study.
Huang B; Wang J; Sun M; Chen X; Xu D; Li ZP; Ma J; Feng ST; Gao Z
BMC Cancer; 2020 Apr; 20(1):322. PubMed ID: 32293344
[TBL] [Abstract][Full Text] [Related]
20. Radiomics Nomogram Building From Multiparametric MRI to Predict Grade in Patients With Glioma: A Cohort Study.
Wang Q; Li Q; Mi R; Ye H; Zhang H; Chen B; Li Y; Huang G; Xia J
J Magn Reson Imaging; 2019 Mar; 49(3):825-833. PubMed ID: 30260592
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]