242 related articles for article (PubMed ID: 38429796)
1. Conditional generative adversarial network driven radiomic prediction of mutation status based on magnetic resonance imaging of breast cancer.
Huang ZH; Chen L; Sun Y; Liu Q; Hu P
J Transl Med; 2024 Mar; 22(1):226. PubMed ID: 38429796
[TBL] [Abstract][Full Text] [Related]
2. A Two-Step Feature Selection Radiomic Approach to Predict Molecular Outcomes in Breast Cancer.
Brancato V; Brancati N; Esposito G; La Rosa M; Cavaliere C; Allarà C; Romeo V; De Pietro G; Salvatore M; Aiello M; Sangiovanni M
Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772592
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Development and validation of convolutional neural network-based model to predict the risk of sentinel or non-sentinel lymph node metastasis in patients with breast cancer: a machine learning study.
Chen M; Kong C; Lin G; Chen W; Guo X; Chen Y; Cheng X; Chen M; Shi C; Xu M; Sun J; Lu C; Ji J
EClinicalMedicine; 2023 Sep; 63():102176. PubMed ID: 37662514
[TBL] [Abstract][Full Text] [Related]
5. Synthetic Medical Images for Robust, Privacy-Preserving Training of Artificial Intelligence: Application to Retinopathy of Prematurity Diagnosis.
Coyner AS; Chen JS; Chang K; Singh P; Ostmo S; Chan RVP; Chiang MF; Kalpathy-Cramer J; Campbell JP;
Ophthalmol Sci; 2022 Jun; 2(2):100126. PubMed ID: 36249693
[TBL] [Abstract][Full Text] [Related]
6. Machine learning on MRI radiomic features: identification of molecular subtype alteration in breast cancer after neoadjuvant therapy.
Liu HQ; Lin SY; Song YD; Mai SY; Yang YD; Chen K; Wu Z; Zhao HY
Eur Radiol; 2023 Apr; 33(4):2965-2974. PubMed ID: 36418622
[TBL] [Abstract][Full Text] [Related]
7. Generative models improve radiomics performance in different tasks and different datasets: An experimental study.
Chen J; Bermejo I; Dekker A; Wee L
Phys Med; 2022 Jun; 98():11-17. PubMed ID: 35468494
[TBL] [Abstract][Full Text] [Related]
8. IDH1 mutation prediction using MR-based radiomics in glioblastoma: comparison between manual and fully automated deep learning-based approach of tumor segmentation.
Choi Y; Nam Y; Lee YS; Kim J; Ahn KJ; Jang J; Shin NY; Kim BS; Jeon SS
Eur J Radiol; 2020 Jul; 128():109031. PubMed ID: 32417712
[TBL] [Abstract][Full Text] [Related]
9. Predicting hormone receptors and PAM50 subtypes of breast cancer from multi-scale lesion images of DCE-MRI with transfer learning technique.
Ming W; Li F; Zhu Y; Bai Y; Gu W; Liu Y; Sun X; Liu X; Liu H
Comput Biol Med; 2022 Nov; 150():106147. PubMed ID: 36201887
[TBL] [Abstract][Full Text] [Related]
10. Exploration of a noninvasive radiomics classifier for breast cancer tumor microenvironment categorization and prognostic outcome prediction.
Han X; Gong Z; Guo Y; Tang W; Wei X
Eur J Radiol; 2024 Jun; 175():111441. PubMed ID: 38537607
[TBL] [Abstract][Full Text] [Related]
11. Radiomic machine learning for predicting prognostic biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis properties on MRI.
Lee JY; Lee KS; Seo BK; Cho KR; Woo OH; Song SE; Kim EK; Lee HY; Kim JS; Cha J
Eur Radiol; 2022 Jan; 32(1):650-660. PubMed ID: 34226990
[TBL] [Abstract][Full Text] [Related]
12. Predicting cell invasion in breast tumor microenvironment from radiological imaging phenotypes.
Arefan D; Hausler RM; Sumkin JH; Sun M; Wu S
BMC Cancer; 2021 Apr; 21(1):370. PubMed ID: 33827490
[TBL] [Abstract][Full Text] [Related]
13. Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction.
Choi YS; Ahn SS; Chang JH; Kang SG; Kim EH; Kim SH; Jain R; Lee SK
Eur Radiol; 2020 Jul; 30(7):3834-3842. PubMed ID: 32162004
[TBL] [Abstract][Full Text] [Related]
14. Efficient link prediction in the protein-protein interaction network using topological information in a generative adversarial network machine learning model.
Balogh OM; Benczik B; Horváth A; Pétervári M; Csermely P; Ferdinandy P; Ágg B
BMC Bioinformatics; 2022 Feb; 23(1):78. PubMed ID: 35183129
[TBL] [Abstract][Full Text] [Related]
15. Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data.
Guo W; Li H; Zhu Y; Lan L; Yang S; Drukker K; Morris E; Burnside E; Whitman G; Giger ML; Ji Y;
J Med Imaging (Bellingham); 2015 Oct; 2(4):041007. PubMed ID: 26835491
[TBL] [Abstract][Full Text] [Related]
16. Improving reproducibility and performance of radiomics in low-dose CT using cycle GANs.
Chen J; Wee L; Dekker A; Bermejo I
J Appl Clin Med Phys; 2022 Oct; 23(10):e13739. PubMed ID: 35906893
[TBL] [Abstract][Full Text] [Related]
17. Generative adversarial network-based synthesis of contrast-enhanced MR images from precontrast images for predicting histological characteristics in breast cancer.
Fan M; Cao X; Lü F; Xie S; Yu Z; Chen Y; Lü Z; Li L
Phys Med Biol; 2024 Apr; 69(9):. PubMed ID: 38537294
[No Abstract] [Full Text] [Related]
18. Multi-Parametric MRI-Based Radiomics Models for Predicting Molecular Subtype and Androgen Receptor Expression in Breast Cancer.
Huang Y; Wei L; Hu Y; Shao N; Lin Y; He S; Shi H; Zhang X; Lin Y
Front Oncol; 2021; 11():706733. PubMed ID: 34490107
[TBL] [Abstract][Full Text] [Related]
19. Invasive ductal breast cancer molecular subtype prediction by MRI radiomic and clinical features based on machine learning.
Sheng W; Xia S; Wang Y; Yan L; Ke S; Mellisa E; Gong F; Zheng Y; Tang T
Front Oncol; 2022; 12():964605. PubMed ID: 36172153
[TBL] [Abstract][Full Text] [Related]
20. Demonstrating the successful application of synthetic learning in spine surgery for training multi-center models with increased patient privacy.
Schonfeld E; Veeravagu A
Sci Rep; 2023 Aug; 13(1):12481. PubMed ID: 37528216
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
