159 related articles for article (PubMed ID: 38492096)
1. Diffusion-weighted imaging-based radiomics model using automatic machine learning to differentiate cerebral cystic metastases from brain abscesses.
Cui L; Qin Z; Sun S; Feng W; Hou M; Yu D
J Cancer Res Clin Oncol; 2024 Mar; 150(3):132. PubMed ID: 38492096
[TBL] [Abstract][Full Text] [Related]
2. [Application of Automated Machine Learning Based on Radiomics Features of T2WI and RS-EPI DWI to Predict Preoperative T Staging of Rectal Cancer].
Wen DG; Hu SX; Li ZL; Deng XB; Tian C; Li X; Wang XR; Leng Q; Xia CC
Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Jul; 52(4):698-705. PubMed ID: 34323052
[TBL] [Abstract][Full Text] [Related]
3. A Comprehensive Machine Learning Benchmark Study for Radiomics-Based Survival Analysis of CT Imaging Data in Patients With Hepatic Metastases of CRC.
Stüber AT; Coors S; Schachtner B; Weber T; Rügamer D; Bender A; Mittermeier A; Öcal O; Seidensticker M; Ricke J; Bischl B; Ingrisch M
Invest Radiol; 2023 Dec; 58(12):874-881. PubMed ID: 37504498
[TBL] [Abstract][Full Text] [Related]
4. Automated machine learning based on radiomics features predicts H3 K27M mutation in midline gliomas of the brain.
Su X; Chen N; Sun H; Liu Y; Yang X; Wang W; Zhang S; Tan Q; Su J; Gong Q; Yue Q
Neuro Oncol; 2020 Mar; 22(3):393-401. PubMed ID: 31563963
[TBL] [Abstract][Full Text] [Related]
5. Automated machine learning to predict the co-occurrence of isocitrate dehydrogenase mutations and O
Zhang S; Sun H; Su X; Yang X; Wang W; Wan X; Tan Q; Chen N; Yue Q; Gong Q
J Magn Reson Imaging; 2021 Jul; 54(1):197-205. PubMed ID: 33393131
[TBL] [Abstract][Full Text] [Related]
6. [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]
7. Can machine learning models improve early detection of brain metastases using diffusion weighted imaging-based radiomics?
Madamesila J; Tchistiakova E; Faruqi S; Das S; Ploquin N
Quant Imaging Med Surg; 2023 Dec; 13(12):7706-7718. PubMed ID: 38106308
[TBL] [Abstract][Full Text] [Related]
8. Machine learning-based radiomics model to predict benign and malignant PI-RADS v2.1 category 3 lesions: a retrospective multi-center study.
Jin P; Shen J; Yang L; Zhang J; Shen A; Bao J; Wang X
BMC Med Imaging; 2023 Mar; 23(1):47. PubMed ID: 36991347
[TBL] [Abstract][Full Text] [Related]
9. An Integrated Radiomics Model Incorporating Diffusion-Weighted Imaging and
Zhang L; Yao R; Gao J; Tan D; Yang X; Wen M; Wang J; Xie X; Liao R; Tang Y; Chen S; Li Y
Front Oncol; 2021; 11():732704. PubMed ID: 34527594
[TBL] [Abstract][Full Text] [Related]
10. Diffusion-weighted MRI features of brain abscess and cystic or necrotic brain tumors: comparison with conventional MRI.
Chang SC; Lai PH; Chen WL; Weng HH; Ho JT; Wang JS; Chang CY; Pan HB; Yang CF
Clin Imaging; 2002; 26(4):227-36. PubMed ID: 12140151
[TBL] [Abstract][Full Text] [Related]
11. Performance of automatic machine learning versus radiologists in the evaluation of endometrium on computed tomography.
Li D; Hu R; Li H; Cai Y; Zhang PJ; Wu J; Zhu C; Bai HX
Abdom Radiol (NY); 2021 Nov; 46(11):5316-5324. PubMed ID: 34286371
[TBL] [Abstract][Full Text] [Related]
12. Differentiation of low and high grade renal cell carcinoma on routine MRI with an externally validated automatic machine learning algorithm.
Purkayastha S; Zhao Y; Wu J; Hu R; McGirr A; Singh S; Chang K; Huang RY; Zhang PJ; Silva A; Soulen MC; Stavropoulos SW; Zhang Z; Bai HX
Sci Rep; 2020 Nov; 10(1):19503. PubMed ID: 33177576
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. Image-Based Differentiation of Intracranial Metastasis From Glioblastoma Using Automated Machine Learning.
Liu Y; Li T; Fan Z; Li Y; Sun Z; Li S; Liang Y; Zhou C; Zhu Q; Zhang H; Liu X; Wang L; Wang Y
Front Neurosci; 2022; 16():855990. PubMed ID: 35645718
[TBL] [Abstract][Full Text] [Related]
16. Development and validation of a radiomics-based prediction pipeline for the response to stereotactic radiosurgery therapy in brain metastases.
Du P; Liu X; Xiang R; Lv K; Chen H; Liu W; Cao A; Chen L; Wang X; Yu T; Ding J; Li W; Li J; Li Y; Yu Z; Zhu L; Liu J; Geng D
Eur Radiol; 2023 Dec; 33(12):8925-8935. PubMed ID: 37505244
[TBL] [Abstract][Full Text] [Related]
17. Combining multiparametric MRI features-based transfer learning and clinical parameters: application of machine learning for the differentiation of uterine sarcomas from atypical leiomyomas.
Dai M; Liu Y; Hu Y; Li G; Zhang J; Xiao Z; Lv F
Eur Radiol; 2022 Nov; 32(11):7988-7997. PubMed ID: 35583712
[TBL] [Abstract][Full Text] [Related]
18. Machine learning-based multiparametric magnetic resonance imaging radiomics model for distinguishing central neurocytoma from glioma of lateral ventricle.
Mo H; Liang W; Huang Z; Li X; Xiao X; Liu H; He J; Xu Y; Wu Y
Eur Radiol; 2023 Jun; 33(6):4259-4269. PubMed ID: 36547672
[TBL] [Abstract][Full Text] [Related]
19. Phenotyping the Histopathological Subtypes of Non-Small-Cell Lung Carcinoma: How Beneficial Is Radiomics?
Pasini G; Stefano A; Russo G; Comelli A; Marinozzi F; Bini F
Diagnostics (Basel); 2023 Mar; 13(6):. PubMed ID: 36980475
[TBL] [Abstract][Full Text] [Related]
20. Ensemble learning-based radiomics with multi-sequence magnetic resonance imaging for benign and malignant soft tissue tumor differentiation.
Lee S; Lee SY; Jung JY; Nam Y; Jeon HJ; Jung CK; Shin SH; Chung YG
PLoS One; 2023; 18(5):e0286417. PubMed ID: 37256875
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
