169 related articles for article (PubMed ID: 38308061)
1. Machine learning-based radiomics analysis in predicting RAS mutational status using magnetic resonance imaging.
Granata V; Fusco R; Brunese MC; Di Mauro A; Avallone A; Ottaiano A; Izzo F; Normanno N; Petrillo A
Radiol Med; 2024 Mar; 129(3):420-428. PubMed ID: 38308061
[TBL] [Abstract][Full Text] [Related]
2. Machine Learning and Radiomics Analysis for Tumor Budding Prediction in Colorectal Liver Metastases Magnetic Resonance Imaging Assessment.
Granata V; Fusco R; Brunese MC; Ferrara G; Tatangelo F; Ottaiano A; Avallone A; Miele V; Normanno N; Izzo F; Petrillo A
Diagnostics (Basel); 2024 Jan; 14(2):. PubMed ID: 38248029
[TBL] [Abstract][Full Text] [Related]
3. Contrast MR-Based Radiomics and Machine Learning Analysis to Assess Clinical Outcomes following Liver Resection in Colorectal Liver Metastases: A Preliminary Study.
Granata V; Fusco R; De Muzio F; Cutolo C; Setola SV; Dell' Aversana F; Ottaiano A; Avallone A; Nasti G; Grassi F; Pilone V; Miele V; Brunese L; Izzo F; Petrillo A
Cancers (Basel); 2022 Feb; 14(5):. PubMed ID: 35267418
[TBL] [Abstract][Full Text] [Related]
4. EOB-MR Based Radiomics Analysis to Assess Clinical Outcomes following Liver Resection in Colorectal Liver Metastases.
Granata V; Fusco R; De Muzio F; Cutolo C; Setola SV; Dell'Aversana F; Ottaiano A; Nasti G; Grassi R; Pilone V; Miele V; Brunese MC; Tatangelo F; Izzo F; Petrillo A
Cancers (Basel); 2022 Feb; 14(5):. PubMed ID: 35267544
[TBL] [Abstract][Full Text] [Related]
5. Multimodality radiomics prediction of radiotherapy-induced the early proctitis and cystitis in rectal cancer patients: a machine learning study.
Abbaspour S; Barahman M; Abdollahi H; Arabalibeik H; Hajainfar G; Babaei M; Iraji H; Barzegartahamtan M; Ay MR; Mahdavi SR
Biomed Phys Eng Express; 2023 Dec; 10(1):. PubMed ID: 37995359
[No Abstract] [Full Text] [Related]
6. Prediction of High-Risk Cytogenetic Status in Multiple Myeloma Based on Magnetic Resonance Imaging: Utility of Radiomics and Comparison of Machine Learning Methods.
Liu J; Zeng P; Guo W; Wang C; Geng Y; Lang N; Yuan H
J Magn Reson Imaging; 2021 Oct; 54(4):1303-1311. PubMed ID: 33979466
[TBL] [Abstract][Full Text] [Related]
7. [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]
8. CT-Based Radiomics Analysis to Predict Histopathological Outcomes Following Liver Resection in Colorectal Liver Metastases.
Granata V; Fusco R; Setola SV; De Muzio F; Dell' Aversana F; Cutolo C; Faggioni L; Miele V; Izzo F; Petrillo A
Cancers (Basel); 2022 Mar; 14(7):. PubMed ID: 35406419
[TBL] [Abstract][Full Text] [Related]
9. Radiomics textural features by MR imaging to assess clinical outcomes following liver resection in colorectal liver metastases.
Granata V; Fusco R; De Muzio F; Cutolo C; Setola SV; Grassi R; Grassi F; Ottaiano A; Nasti G; Tatangelo F; Pilone V; Miele V; Brunese MC; Izzo F; Petrillo A
Radiol Med; 2022 May; 127(5):461-470. PubMed ID: 35347583
[TBL] [Abstract][Full Text] [Related]
10. Machine learning for differentiation of lipid-poor adrenal adenoma and subclinical pheochromocytoma based on multiphase CT imaging radiomics.
Xiao DX; Zhong JP; Peng JD; Fan CG; Wang XC; Wen XL; Liao WW; Wang J; Yin XF
BMC Med Imaging; 2023 Oct; 23(1):159. PubMed ID: 37845636
[TBL] [Abstract][Full Text] [Related]
11. Radiomics-based machine learning models in STEMI: a promising tool for the prediction of major adverse cardiac events.
Durmaz ES; Karabacak M; Ozkara BB; Kargın OA; Raimoglu U; Tokdil H; Durmaz E; Adaletli I
Eur Radiol; 2023 Jul; 33(7):4611-4620. PubMed ID: 36633675
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. Prediction of Clinical Outcome for High-Intensity Focused Ultrasound Ablation of Uterine Leiomyomas Using Multiparametric MRI Radiomics-Based Machine Leaning Model.
Zheng Y; Chen L; Liu M; Wu J; Yu R; Lv F
Front Oncol; 2021; 11():618604. PubMed ID: 34567999
[TBL] [Abstract][Full Text] [Related]
15. Considerable effects of imaging sequences, feature extraction, feature selection, and classifiers on radiomics-based prediction of microvascular invasion in hepatocellular carcinoma using magnetic resonance imaging.
Dai H; Lu M; Huang B; Tang M; Pang T; Liao B; Cai H; Huang M; Zhou Y; Chen X; Ding H; Feng ST
Quant Imaging Med Surg; 2021 May; 11(5):1836-1853. PubMed ID: 33936969
[TBL] [Abstract][Full Text] [Related]
16. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study.
Li J; Wu X; Mao N; Zheng G; Zhang H; Mou Y; Jia C; Mi J; Song X
Front Endocrinol (Lausanne); 2021; 12():741698. PubMed ID: 34745008
[TBL] [Abstract][Full Text] [Related]
17. MRI radiomics-based machine learning model integrated with clinic-radiological features for preoperative differentiation of sinonasal inverted papilloma and malignant sinonasal tumors.
Gu J; Yu Q; Li Q; Peng J; Lv F; Gong B; Zhang X
Front Oncol; 2022; 12():1003639. PubMed ID: 36212455
[TBL] [Abstract][Full Text] [Related]
18. Value of CT-Based Radiomics in Predicating the Efficacy of Anti-HER2 Therapy for Patients With Liver Metastases From Breast Cancer.
He M; Hu Y; Wang D; Sun M; Li H; Yan P; Meng Y; Zhang R; Li L; Yu D; Wang X
Front Oncol; 2022; 12():852809. PubMed ID: 35463302
[TBL] [Abstract][Full Text] [Related]
19. Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma.
Tang Y; Yang CM; Su S; Wang WJ; Fan LP; Shu J
BMC Cancer; 2021 Nov; 21(1):1268. PubMed ID: 34819043
[TBL] [Abstract][Full Text] [Related]
20. Prediction of recurrence of ischemic stroke within 1 year of discharge based on machine learning MRI radiomics.
Liu J; Wu Y; Jia W; Han M; Chen Y; Li J; Wu B; Yin S; Zhang X; Chen J; Yu P; Luo H; Tu J; Zhou F; Cheng X; Yi Y
Front Neurosci; 2023; 17():1110579. PubMed ID: 37214402
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
