127 related articles for article (PubMed ID: 37268842)
21. Developing and validating a deep learning and radiomic model for glioma grading using multiplanar reconstructed magnetic resonance contrast-enhanced T1-weighted imaging: a robust, multi-institutional study.
Ding J; Zhao R; Qiu Q; Chen J; Duan J; Cao X; Yin Y
Quant Imaging Med Surg; 2022 Feb; 12(2):1517-1528. PubMed ID: 35111644
[TBL] [Abstract][Full Text] [Related]
22. The CT-based intratumoral and peritumoral machine learning radiomics analysis in predicting lymph node metastasis in rectal carcinoma.
Yuan H; Xu X; Tu S; Chen B; Wei Y; Ma Y
BMC Gastroenterol; 2022 Nov; 22(1):463. PubMed ID: 36384504
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. Application of a combined radiomics nomogram based on CE-CT in the preoperative prediction of thymomas risk categorization.
Dong W; Xiong S; Lei P; Wang X; Liu H; Liu Y; Zou H; Fan B; Qiu Y
Front Oncol; 2022; 12():944005. PubMed ID: 36081562
[TBL] [Abstract][Full Text] [Related]
25. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
[TBL] [Abstract][Full Text] [Related]
26. A multidomain fusion model of radiomics and deep learning to discriminate between PDAC and AIP based on
Wei W; Jia G; Wu Z; Wang T; Wang H; Wei K; Cheng C; Liu Z; Zuo C
Jpn J Radiol; 2023 Apr; 41(4):417-427. PubMed ID: 36409398
[TBL] [Abstract][Full Text] [Related]
27. Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data.
Purkayastha S; Xiao Y; Jiao Z; Thepumnoeysuk R; Halsey K; Wu J; Tran TML; Hsieh B; Choi JW; Wang D; Vallières M; Wang R; Collins S; Feng X; Feldman M; Zhang PJ; Atalay M; Sebro R; Yang L; Fan Y; Liao WH; Bai HX
Korean J Radiol; 2021 Jul; 22(7):1213-1224. PubMed ID: 33739635
[TBL] [Abstract][Full Text] [Related]
28. A prediction model for degree of differentiation for resectable locally advanced esophageal squamous cell carcinoma based on CT images using radiomics and machine-learning.
Kawahara D; Murakami Y; Tani S; Nagata Y
Br J Radiol; 2021 Aug; 94(1124):20210525. PubMed ID: 34235955
[TBL] [Abstract][Full Text] [Related]
29. Non-contrast CT radiomics and machine learning for outcomes prediction of patients with acute ischemic stroke receiving conventional treatment.
Zhang L; Wu J; Yu R; Xu R; Yang J; Fan Q; Wang D; Zhang W
Eur J Radiol; 2023 Aug; 165():110959. PubMed ID: 37437435
[TBL] [Abstract][Full Text] [Related]
30. Contrast-enhanced CT-based radiomics model for differentiating risk subgroups of thymic epithelial tumors.
Yu C; Li T; Yang X; Zhang R; Xin L; Zhao Z; Cui J
BMC Med Imaging; 2022 Mar; 22(1):37. PubMed ID: 35249531
[TBL] [Abstract][Full Text] [Related]
31. A deep learning radiomics model may help to improve the prediction performance of preoperative grading in meningioma.
Yang L; Xu P; Zhang Y; Cui N; Wang M; Peng M; Gao C; Wang T
Neuroradiology; 2022 Jul; 64(7):1373-1382. PubMed ID: 35037985
[TBL] [Abstract][Full Text] [Related]
32. Clinical Variables, Deep Learning and Radiomics Features Help Predict the Prognosis of Adult Anti-N-methyl-D-aspartate Receptor Encephalitis Early: A Two-Center Study in Southwest China.
Xiang Y; Dong X; Zeng C; Liu J; Liu H; Hu X; Feng J; Du S; Wang J; Han Y; Luo Q; Chen S; Li Y
Front Immunol; 2022; 13():913703. PubMed ID: 35720336
[TBL] [Abstract][Full Text] [Related]
33. [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]
34. Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures.
Wang H; Wang L; Lee EH; Zheng J; Zhang W; Halabi S; Liu C; Deng K; Song J; Yeom KW
Eur J Nucl Med Mol Imaging; 2021 May; 48(5):1478-1486. PubMed ID: 33094432
[TBL] [Abstract][Full Text] [Related]
35. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study.
Cui Y; Zhang J; Li Z; Wei K; Lei Y; Ren J; Wu L; Shi Z; Meng X; Yang X; Gao X
EClinicalMedicine; 2022 Apr; 46():101348. PubMed ID: 35340629
[TBL] [Abstract][Full Text] [Related]
36. CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma.
Jiang C; Luo Y; Yuan J; You S; Chen Z; Wu M; Wang G; Gong J
Eur Radiol; 2020 Jul; 30(7):4050-4057. PubMed ID: 32112116
[TBL] [Abstract][Full Text] [Related]
37. Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning-based radiomics.
Mao B; Zhang L; Ning P; Ding F; Wu F; Lu G; Geng Y; Ma J
Eur Radiol; 2020 Dec; 30(12):6924-6932. PubMed ID: 32696256
[TBL] [Abstract][Full Text] [Related]
38. Histological Classification and Invasion Prediction of Thymoma by Machine Learning-Based Computed Tomography Imaging.
Wang D; Zhang Y; Li B; Zhuang Q; Zhang X; Lin D
Contrast Media Mol Imaging; 2022; 2022():4594757. PubMed ID: 36051922
[TBL] [Abstract][Full Text] [Related]
39. CT-Based Radiomics Signature With Machine Learning Predicts MYCN Amplification in Pediatric Abdominal Neuroblastoma.
Chen X; Wang H; Huang K; Liu H; Ding H; Zhang L; Zhang T; Yu W; He L
Front Oncol; 2021; 11():687884. PubMed ID: 34109133
[TBL] [Abstract][Full Text] [Related]
40. A radiomics-boosted deep-learning model for COVID-19 and non-COVID-19 pneumonia classification using chest x-ray images.
Hu Z; Yang Z; Lafata KJ; Yin FF; Wang C
Med Phys; 2022 May; 49(5):3213-3222. PubMed ID: 35263458
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
