These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
156 related articles for article (PubMed ID: 37869344)
1. Prognostic prediction of left ventricular myocardial noncompaction using machine learning and cardiac magnetic resonance radiomics. Han PL; Jiang ZK; Gu R; Huang S; Jiang Y; Yang ZG; Li K Quant Imaging Med Surg; 2023 Oct; 13(10):6468-6481. PubMed ID: 37869344 [TBL] [Abstract][Full Text] [Related]
2. Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection. Avard E; Shiri I; Hajianfar G; Abdollahi H; Kalantari KR; Houshmand G; Kasani K; Bitarafan-Rajabi A; Deevband MR; Oveisi M; Zaidi H Comput Biol Med; 2022 Feb; 141():105145. PubMed ID: 34929466 [TBL] [Abstract][Full Text] [Related]
3. Prognostic value of cardiac magnetic resonance imaging parameters in left ventricular noncompaction with left ventricular dysfunction. Bai W; Xu R; Li X; Xu H; Fu H; Hou R; Zhou Z; Huang W; Wang Y; Guo Y BMC Cardiovasc Disord; 2022 Dec; 22(1):526. PubMed ID: 36474142 [TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Integration of Cine-cardiac Magnetic Resonance Radiomics and Machine Learning for Differentiating Ischemic and Dilated Cardiomyopathy. Deng J; Zhou L; Li Y; Yu Y; Zhang J; Liao B; Luo G; Tian J; Zhou H; Tang H Acad Radiol; 2024 Jul; 31(7):2704-2714. PubMed ID: 38704286 [TBL] [Abstract][Full Text] [Related]
7. A machine learning radiomics model based on bpMRI to predict bone metastasis in newly diagnosed prostate cancer patients. Xinyang S; Shuang Z; Tianci S; Xiangyu H; Yangyang W; Mengying D; Jingran Z; Feng Y Magn Reson Imaging; 2024 Apr; 107():15-23. PubMed ID: 38181835 [TBL] [Abstract][Full Text] [Related]
8. [Development of a grading diagnostic model for schistosomiasis-induced liver fibrosis based on radiomics and clinical laboratory indicators]. Guo Z; Shao J; Zou X; Zhao Q; Qian P; Wang W; Huang L; Xue J; Xu J; Yang K; Zhou X; Li S Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2024 Jun; 36(3):251-258. PubMed ID: 38952311 [TBL] [Abstract][Full Text] [Related]
9. Comparison of radiomics-based machine-learning classifiers for the pretreatment prediction of pathologic complete response to neoadjuvant therapy in breast cancer. Li X; Li C; Wang H; Jiang L; Chen M PeerJ; 2024; 12():e17683. PubMed ID: 39026540 [TBL] [Abstract][Full Text] [Related]
10. 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]
11. Predicting the risk stratification of gastrointestinal stromal tumors using machine learning-based ultrasound radiomics. Zhuo M; Tang Y; Guo J; Qian Q; Xue E; Chen Z J Med Ultrason (2001); 2024 Jan; 51(1):71-82. PubMed ID: 37798591 [TBL] [Abstract][Full Text] [Related]
12. Multiphasic CT-Based Radiomics Analysis for the Differentiation of Benign and Malignant Parotid Tumors. Yu Q; Wang A; Gu J; Li Q; Ning Y; Peng J; Lv F; Zhang X Front Oncol; 2022; 12():913898. PubMed ID: 35847942 [TBL] [Abstract][Full Text] [Related]
13. [Value of the application of enhanced CT radiomics and machine learning in preoperative prediction of microvascular invasion in hepatocellular carcinoma]. Yu YX; Hu CH; Wang XM; Fan YF; Hu MJ; Shi C; Hu S; Zhu M; Zhang Y Zhonghua Yi Xue Za Zhi; 2021 May; 101(17):1239-1245. PubMed ID: 34865392 [No Abstract] [Full Text] [Related]
14. Hybrid model of CT-fractional flow reserve, pericoronary fat attenuation index and radiomics for predicting the progression of WMH: a dual-center pilot study. Hou J; Jin H; Zhang Y; Xu Y; Cui F; Qin X; Han L; Yuan Z; Zheng G; Peng J; Shu Z; Gong X Front Cardiovasc Med; 2023; 10():1282768. PubMed ID: 38179506 [TBL] [Abstract][Full Text] [Related]
15. Machine learning models for differential diagnosing HER2-low breast cancer: A radiomics approach. Chen X; Li M; Su D Medicine (Baltimore); 2024 Aug; 103(33):e39343. PubMed ID: 39151526 [TBL] [Abstract][Full Text] [Related]
16. Machine Learning Model for Predicting Axillary Lymph Node Metastasis in Clinically Node Positive Breast Cancer Based on Peritumoral Ultrasound Radiomics and SHAP Feature Analysis. Wang SR; Cao CL; Du TT; Wang JL; Li J; Li WX; Chen M J Ultrasound Med; 2024 Sep; 43(9):1611-1625. PubMed ID: 38808580 [TBL] [Abstract][Full Text] [Related]
17. A retrospective study differentiating nontuberculous mycobacterial pulmonary disease from pulmonary tuberculosis on computed tomography using radiomics and machine learning algorithms. Zhou L; Wang Y; Zhu W; Zhao Y; Yu Y; Hu Q; Yu W Ann Med; 2024 Dec; 56(1):2401613. PubMed ID: 39283049 [TBL] [Abstract][Full Text] [Related]
18. Prediction of unenhanced lesion evolution in multiple sclerosis using radiomics-based models: a machine learning approach. Peng Y; Zheng Y; Tan Z; Liu J; Xiang Y; Liu H; Dai L; Xie Y; Wang J; Zeng C; Li Y Mult Scler Relat Disord; 2021 Aug; 53():102989. PubMed ID: 34052741 [TBL] [Abstract][Full Text] [Related]