28 related articles for article (PubMed ID: 38438336)
1. A CT-based Deep Learning Radiomics Nomogram for the Prediction of EGFR Mutation Status in Head and Neck Squamous Cell Carcinoma.
Zheng YM; Pang J; Liu ZJ; Yuan MG; Li J; Wu ZJ; Jiang Y; Dong C
Acad Radiol; 2024 Feb; 31(2):628-638. PubMed ID: 37481418
[TBL] [Abstract][Full Text] [Related]
2. Predicting event-free survival after induction of remission in high-risk pediatric neuroblastoma: combining
Feng L; Yang X; Wang C; Zhang H; Wang W; Yang J
Pediatr Radiol; 2024 May; 54(5):805-819. PubMed ID: 38492045
[TBL] [Abstract][Full Text] [Related]
3. A radiomics-based nomogram may be useful for predicting telomerase reverse transcriptase promoter mutation status in adult glioblastoma.
Li Y; Chen L; Huang L; Li X; Huang Q; Tang L; Huang Z; Zhu L; Li T
Brain Behav; 2024 May; 14(5):e3528. PubMed ID: 38798094
[TBL] [Abstract][Full Text] [Related]
4. Automatic image segmentation and online survival prediction model of medulloblastoma based on machine learning.
Zhou L; Ji Q; Peng H; Chen F; Zheng Y; Jiao Z; Gong J; Li W
Eur Radiol; 2024 Jun; 34(6):3644-3655. PubMed ID: 37994966
[TBL] [Abstract][Full Text] [Related]
5. Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics.
Huynh BN; Groendahl AR; Tomic O; Liland KH; Knudtsen IS; Hoebers F; van Elmpt W; Malinen E; Dale E; Futsaether CM
Front Med (Lausanne); 2023; 10():1217037. PubMed ID: 37711738
[TBL] [Abstract][Full Text] [Related]
6. Development and validation of an interpretable delta radiomics-based model for predicting invasive ground-glass nodules in lung adenocarcinoma: a retrospective cohort study.
Xue T; Zhu L; Tao Y; Ye X; Yu H
Quant Imaging Med Surg; 2024 Jun; 14(6):4086-4097. PubMed ID: 38846292
[TBL] [Abstract][Full Text] [Related]
7. The value of CT radiomics combined with deep transfer learning in predicting the nature of gallbladder polypoid lesions.
Yin S; Ding N; Ji Y; Qiao Z; Yuan J; Chi J; Jin L
Acta Radiol; 2024 Jun; 65(6):554-564. PubMed ID: 38623640
[TBL] [Abstract][Full Text] [Related]
8. Union is strength: the combination of radiomics features and 3D-deep learning in a sole model increases diagnostic accuracy in demented patients: a whole brain 18FDG PET-CT analysis.
Bestetti A; Zangheri B; Gabanelli SV; Parini V; Fornara C
Nucl Med Commun; 2024 Jul; 45(7):642-649. PubMed ID: 38632972
[TBL] [Abstract][Full Text] [Related]
9. Integration of deep learning and habitat radiomics for predicting the response to immunotherapy in NSCLC patients.
Caii W; Wu X; Guo K; Chen Y; Shi Y; Chen J
Cancer Immunol Immunother; 2024 Jun; 73(8):153. PubMed ID: 38833187
[TBL] [Abstract][Full Text] [Related]
10. Development and Validation of a Deep Learning and Radiomics Combined Model for Differentiating Complicated From Uncomplicated Acute Appendicitis.
Liang D; Fan Y; Zeng Y; Zhou H; Zhou H; Li G; Liang Y; Zhong Z; Chen D; Chen A; Li G; Deng J; Huang B; Wei X
Acad Radiol; 2024 Apr; 31(4):1344-1354. PubMed ID: 37775450
[TBL] [Abstract][Full Text] [Related]
11. Artificial Intelligence-Driven Radiomics in Head and Neck Cancer: Current Status and Future Prospects.
Alabi RO; Elmusrati M; Leivo I; Almangush A; Mäkitie AA
Int J Med Inform; 2024 Aug; 188():105464. PubMed ID: 38728812
[TBL] [Abstract][Full Text] [Related]
12. Diagnosing schizophrenia using deep learning: Novel interpretation approaches and multi-site validation.
Weng T; Zheng Y; Xie Y; Qin W; Guo L
Brain Res; 2024 Jun; 1833():148876. PubMed ID: 38513996
[TBL] [Abstract][Full Text] [Related]
13. Corrigendum: Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics.
Huynh BN; Groendahl AR; Tomic O; Liland KH; Knudtsen IS; Hoebers F; van Elmpt W; Malinen E; Dale E; Futsaether CM
Front Med (Lausanne); 2024; 11():1421603. PubMed ID: 38813378
[TBL] [Abstract][Full Text] [Related]
14. Advancing Head and Neck Cancer Survival Prediction via Multi-Label Learning and Deep Model Interpretation.
Chen M; Wang K; Wang J
ArXiv; 2024 May; ():. PubMed ID: 38764586
[TBL] [Abstract][Full Text] [Related]
15. Prognostic Value of a Combined Nomogram Model Integrating 3-Dimensional Deep Learning and Radiomics for Head and Neck Cancer.
Li S; Xie J; Liu J; Wu Y; Wang Z; Cao Z; Wen D; Zhang X; Wang B; Yang Y; Lu L; Dong X
J Comput Assist Tomogr; 2024 May-Jun 01; 48(3):498-507. PubMed ID: 38438336
[TBL] [Abstract][Full Text] [Related]
16. Preoperative CT-based deep learning radiomics model to predict lymph node metastasis and patient prognosis in bladder cancer: a two-center study.
Sun R; Zhang M; Yang L; Yang S; Li N; Huang Y; Song H; Wang B; Huang C; Hou F; Wang H
Insights Imaging; 2024 Jan; 15(1):21. PubMed ID: 38270647
[TBL] [Abstract][Full Text] [Related]
17. Development and validation of a
Liu H; Cui Y; Chang C; Zhou Z; Zhang Y; Ma C; Yin Y; Wang R
BMC Cancer; 2024 Jan; 24(1):150. PubMed ID: 38291351
[TBL] [Abstract][Full Text] [Related]
18. Predicting N2 lymph node metastasis in presurgical stage I-II non-small cell lung cancer using multiview radiomics and deep learning method.
Zhang H; Liao M; Guo Q; Chen J; Wang S; Liu S; Xiao F
Med Phys; 2023 Apr; 50(4):2049-2060. PubMed ID: 36563341
[TBL] [Abstract][Full Text] [Related]
19. Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model.
Gong J; Wang T; Wang Z; Chu X; Hu T; Li M; Peng W; Feng F; Tong T; Gu Y
Cancer Imaging; 2024 Jan; 24(1):1. PubMed ID: 38167564
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
