141 related articles for article (PubMed ID: 38750186)
1. Concomitant Prediction of the Ki67 and PIT-1 Expression in Pituitary Adenoma Using Different Radiomics Models.
Liu F; Zang Y; Feng L; Shi X; Wu W; Liu X; Song Y; Xu J; Gui S; Chen X
J Imaging Inform Med; 2024 May; ():. PubMed ID: 38750186
[TBL] [Abstract][Full Text] [Related]
2. MRI-Based Machine Learning Fusion Models to Distinguish Encephalitis and Gliomas.
Zheng F; Yin P; Yang L; Wang Y; Hao W; Hao Q; Chen X; Hong N
J Imaging Inform Med; 2024 Apr; 37(2):653-665. PubMed ID: 38343248
[TBL] [Abstract][Full Text] [Related]
3. Machine learning model based on enhanced CT radiomics for the preoperative prediction of lymphovascular invasion in esophageal squamous cell carcinoma.
Wang Y; Bai G; Huang M; Chen W
Front Oncol; 2024; 14():1308317. PubMed ID: 38549935
[TBL] [Abstract][Full Text] [Related]
4. Ultrasound deep learning radiomics and clinical machine learning models to predict low nuclear grade, ER, PR, and HER2 receptor status in pure ductal carcinoma
Zhu M; Kuang Y; Jiang Z; Liu J; Zhang H; Zhao H; Luo H; Chen Y; Peng Y
Gland Surg; 2024 Apr; 13(4):512-527. PubMed ID: 38720675
[TBL] [Abstract][Full Text] [Related]
5. Differentiation of benign and malignant parotid gland tumors based on the fusion of radiomics and deep learning features on ultrasound images.
Wang Y; Gao J; Yin Z; Wen Y; Sun M; Han R
Front Oncol; 2024; 14():1384105. PubMed ID: 38803533
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Glioblastoma and Solitary Brain Metastasis: Differentiation by Integrating Demographic-MRI and Deep-Learning Radiomics Signatures.
Zhang Y; Zhang H; Zhang H; Ouyang Y; Su R; Yang W; Huang B
J Magn Reson Imaging; 2023 Nov; ():. PubMed ID: 37955154
[TBL] [Abstract][Full Text] [Related]
8. Constructing a Deep Learning Radiomics Model Based on X-ray Images and Clinical Data for Predicting and Distinguishing Acute and Chronic Osteoporotic Vertebral Fractures: A Multicenter Study.
Zhang J; Xia L; Tang J; Xia J; Liu Y; Zhang W; Liu J; Liang Z; Zhang X; Zhang L; Tang G
Acad Radiol; 2024 May; 31(5):2011-2026. PubMed ID: 38016821
[TBL] [Abstract][Full Text] [Related]
9. Multiparametric MRI-based machine learning models for preoperatively predicting rectal adenoma with canceration.
Li P; Song G; Wu R; Li H; Zhang R; Zuo P; Li A
MAGMA; 2021 Oct; 34(5):707-716. PubMed ID: 33646452
[TBL] [Abstract][Full Text] [Related]
10. [Preoperative prediction of HER-2 expression status in breast cancer based on MRI radiomics model].
Zhang Y; Huang H; Yin L; Wang ZX; Lu SY; Wang XX; Xiang LL; Zhang Q; Zhang JL; Shan XH
Zhonghua Zhong Liu Za Zhi; 2024 May; 46(5):428-437. PubMed ID: 38742356
[No Abstract] [Full Text] [Related]
11. Preoperatively Predicting Ki67 Expression in Pituitary Adenomas Using Deep Segmentation Network and Radiomics Analysis Based on Multiparameter MRI.
Li H; Liu Z; Li F; Shi F; Xia Y; Zhou Q; Zeng Q
Acad Radiol; 2024 Feb; 31(2):617-627. PubMed ID: 37330356
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Magnetic resonance imaging-based radiomics signature for preoperative prediction of Ki67 expression in bladder cancer.
Zheng Z; Gu Z; Xu F; Maskey N; He Y; Yan Y; Xu T; Liu S; Yao X
Cancer Imaging; 2021 Dec; 21(1):65. PubMed ID: 34863282
[TBL] [Abstract][Full Text] [Related]
14. [Value of radiomics models based on MRI diffusion weighted imaging and apparent diffusion coefficient in differentiating benign and malignant thyroid nodules].
Xu HJ; Yang Q; He P; Luo HH; Deng WM; Liu Z; Luo DH
Zhonghua Yi Xue Za Zhi; 2023 Nov; 103(41):3279-3286. PubMed ID: 37926572
[No Abstract] [Full Text] [Related]
15. Non-Contrasted CT Radiomics for SAH Prognosis Prediction.
Shan D; Wang J; Qi P; Lu J; Wang D
Bioengineering (Basel); 2023 Aug; 10(8):. PubMed ID: 37627852
[TBL] [Abstract][Full Text] [Related]
16. Development and Validation of Contrast-Enhanced CT-Based Deep Transfer Learning and Combined Clinical-Radiomics Model to Discriminate Thymomas and Thymic Cysts: A Multicenter Study.
Yang Y; Cheng J; Peng Z; Yi L; Lin Z; He A; Jin M; Cui C; Liu Y; Zhong Q; Zuo M
Acad Radiol; 2024 Apr; 31(4):1615-1628. PubMed ID: 37949702
[TBL] [Abstract][Full Text] [Related]
17. Application of machine learning-based multi-sequence MRI radiomics in diagnosing anterior cruciate ligament tears.
Cheng Q; Lin H; Zhao J; Lu X; Wang Q
J Orthop Surg Res; 2024 Jan; 19(1):99. PubMed ID: 38297322
[TBL] [Abstract][Full Text] [Related]
18. Deep-learning and conventional radiomics to predict
Zhang H; Fan X; Zhang J; Wei Z; Feng W; Hu Y; Ni J; Yao F; Zhou G; Wan C; Zhang X; Wang J; Liu Y; You Y; Yu Y
Front Oncol; 2023; 13():1143688. PubMed ID: 37711207
[TBL] [Abstract][Full Text] [Related]
19. Development of a Nomogram Based on Preoperative Bi-Parametric MRI and Blood Indices for the Differentiation Between Cystic-Solid Pituitary Adenoma and Craniopharyngioma.
Zhao Z; Xiao D; Nie C; Zhang H; Jiang X; Jecha AR; Yan P; Zhao H
Front Oncol; 2021; 11():709321. PubMed ID: 34307178
[TBL] [Abstract][Full Text] [Related]
20. Preoperative prediction of cavernous sinus invasion by pituitary adenomas using a radiomics method based on magnetic resonance images.
Niu J; Zhang S; Ma S; Diao J; Zhou W; Tian J; Zang Y; Jia W
Eur Radiol; 2019 Mar; 29(3):1625-1634. PubMed ID: 30255254
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
