177 related articles for article (PubMed ID: 37379814)
1. Introducing radiomics model to predict active plaque in multiple sclerosis patients using magnetic resonance images.
Khajetash B; Talebi A; Bagherpour Z; Abbaspour S; Tavakoli M
Biomed Phys Eng Express; 2023 Jul; 9(5):. PubMed ID: 37379814
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Development and Validation of a Magnetic Resonance Imaging-Based Machine Learning Model for TMJ Pathologies.
Orhan K; Driesen L; Shujaat S; Jacobs R; Chai X
Biomed Res Int; 2021; 2021():6656773. PubMed ID: 34327235
[TBL] [Abstract][Full Text] [Related]
4. Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics.
Mao B; Ma J; Duan S; Xia Y; Tao Y; Zhang L
Eur Radiol; 2021 Jul; 31(7):4576-4586. PubMed ID: 33447862
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Investigating the Ability of Radiomics Features for Diagnosis of the Active Plaque of Multiple Sclerosis Patients.
Tavakoli H; Pirzad Jahromi G; Sedaghat A
J Biomed Phys Eng; 2023 Oct; 13(5):421-432. PubMed ID: 37868943
[TBL] [Abstract][Full Text] [Related]
7. [Evaluation of extravascular lung water index in critically ill patients based on lung ultrasound radiomics analysis combined with machine learning].
Meng W; Zhang C; Hu J; Tang Z
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Oct; 35(10):1074-1079. PubMed ID: 37873713
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Meningiomas: Preoperative predictive histopathological grading based on radiomics of MRI.
Han Y; Wang T; Wu P; Zhang H; Chen H; Yang C
Magn Reson Imaging; 2021 Apr; 77():36-43. PubMed ID: 33220449
[TBL] [Abstract][Full Text] [Related]
10. An investigation of machine learning methods in delta-radiomics feature analysis.
Chang Y; Lafata K; Sun W; Wang C; Chang Z; Kirkpatrick JP; Yin FF
PLoS One; 2019; 14(12):e0226348. PubMed ID: 31834910
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Endorectal ultrasound radiomics in locally advanced rectal cancer patients: despeckling and radiotherapy response prediction using machine learning.
Abbaspour S; Abdollahi H; Arabalibeik H; Barahman M; Arefpour AM; Fadavi P; Ay M; Mahdavi SR
Abdom Radiol (NY); 2022 Nov; 47(11):3645-3659. PubMed ID: 35951085
[TBL] [Abstract][Full Text] [Related]
13. Predicting Histopathological Grading of Adult Gliomas Based On Preoperative Conventional Multimodal MRI Radiomics: A Machine Learning Model.
Du P; Liu X; Wu X; Chen J; Cao A; Geng D
Brain Sci; 2023 Jun; 13(6):. PubMed ID: 37371390
[TBL] [Abstract][Full Text] [Related]
14. Using radiomics based on multicenter magnetic resonance images to predict isocitrate dehydrogenase mutation status of gliomas.
Liu Y; Zheng Z; Wang Z; Qian X; Yao Z; Cheng C; Zhou Z; Gao F; Dai Y
Quant Imaging Med Surg; 2023 Apr; 13(4):2143-2155. PubMed ID: 37064376
[TBL] [Abstract][Full Text] [Related]
15. External validation and comparison of MR-based radiomics models for predicting pathological complete response in locally advanced rectal cancer: a two-centre, multi-vendor study.
Wei Q; Chen Z; Tang Y; Chen W; Zhong L; Mao L; Hu S; Wu Y; Deng K; Yang W; Liu X
Eur Radiol; 2023 Mar; 33(3):1906-1917. PubMed ID: 36355199
[TBL] [Abstract][Full Text] [Related]
16. MRI-based radiomics of rectal cancer: preoperative assessment of the pathological features.
Ma X; Shen F; Jia Y; Xia Y; Li Q; Lu J
BMC Med Imaging; 2019 Nov; 19(1):86. PubMed ID: 31747902
[TBL] [Abstract][Full Text] [Related]
17. Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.
Wang X; Wan Q; Chen H; Li Y; Li X
Eur Radiol; 2020 Aug; 30(8):4595-4605. PubMed ID: 32222795
[TBL] [Abstract][Full Text] [Related]
18. [Predicting cerebral glioma enhancement pattern using a machine learning-based magnetic resonance imaging radiomics model].
He H; Guo E; Meng W; Wang Y; Wang W; He W; Wu Y; Yang W
Nan Fang Yi Ke Da Xue Xue Bao; 2024 Jan; 44(1):194-200. PubMed ID: 38293992
[TBL] [Abstract][Full Text] [Related]
19. Development and Validation of an Ultrasound-Based Radiomics Nomogram for Identifying HER2 Status in Patients with Breast Carcinoma.
Guo Y; Wu J; Wang Y; Jin Y
Diagnostics (Basel); 2022 Dec; 12(12):. PubMed ID: 36553137
[TBL] [Abstract][Full Text] [Related]
20. A radiomics method based on MR FS-T2WI sequence for diagnosing of autosomal dominant polycystic kidney disease progression.
Cong L; Hua QQ; Huang ZQ; Ma QL; Wang XM; Huang CC; Xu JX; Ma T
Eur Rev Med Pharmacol Sci; 2021 Sep; 25(18):5769-5780. PubMed ID: 34604968
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
