Similar articles for PMID: 33919342

Year	Number of Results
2013	1
2015	1
2018	2
2019	9
2020	16
2021	22
2022	33
2023	31
2024	6

1

Identification of Tumor-Specific MRI Biomarkers Using Machine Learning (ML).

Hajjo R, Sabbah DA, Bardaweel SK, Tropsha A. Hajjo R, et al. Diagnostics (Basel). 2021 Apr 21;11(5):742. doi: 10.3390/diagnostics11050742. Diagnostics (Basel). 2021. PMID: 33919342 Free PMC article. Review.

2

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. Lee JY, et al. Eur Radiol. 2022 Jan;32(1):650-660. doi: 10.1007/s00330-021-08146-8. Epub 2021 Jul 5. Eur Radiol. 2022. PMID: 34226990

3

Imaging for Response Assessment in Cancer Clinical Trials.

Sorace AG, Elkassem AA, Galgano SJ, Lapi SE, Larimer BM, Partridge SC, Quarles CC, Reeves K, Napier TS, Song PN, Yankeelov TE, Woodard S, Smith AD. Sorace AG, et al. Semin Nucl Med. 2020 Nov;50(6):488-504. doi: 10.1053/j.semnuclmed.2020.05.001. Epub 2020 Jun 10. Semin Nucl Med. 2020. PMID: 33059819 Free PMC article. Review.

4

Artificial Intelligence in CT and MR Imaging for Oncological Applications.

Paudyal R, Shah AD, Akin O, Do RKG, Konar AS, Hatzoglou V, Mahmood U, Lee N, Wong RJ, Banerjee S, Shin J, Veeraraghavan H, Shukla-Dave A. Paudyal R, et al. Cancers (Basel). 2023 Apr 30;15(9):2573. doi: 10.3390/cancers15092573. Cancers (Basel). 2023. PMID: 37174039 Free PMC article. Review.

5

Artificial intelligence in the radiomic analysis of glioblastomas: A review, taxonomy, and perspective.

Zhu M, Li S, Kuang Y, Hill VB, Heimberger AB, Zhai L, Zhai S. Zhu M, et al. Front Oncol. 2022 Aug 2;12:924245. doi: 10.3389/fonc.2022.924245. eCollection 2022. Front Oncol. 2022. PMID: 35982952 Free PMC article. Review.

6

Role of Machine Learning and Artificial Intelligence in Interventional Oncology.

D'Amore B, Smolinski-Zhao S, Daye D, Uppot RN. D'Amore B, et al. Curr Oncol Rep. 2021 Apr 20;23(6):70. doi: 10.1007/s11912-021-01054-6. Curr Oncol Rep. 2021. PMID: 33880651 Review.

7

A review on deep learning applications in highly multiplexed tissue imaging data analysis.

Zidane M, Makky A, Bruhns M, Rochwarger A, Babaei S, Claassen M, Schürch CM. Zidane M, et al. Front Bioinform. 2023 Jul 26;3:1159381. doi: 10.3389/fbinf.2023.1159381. eCollection 2023. Front Bioinform. 2023. PMID: 37564726 Free PMC article. Review.

8

Artificial intelligence (AI) and big data in cancer and precision oncology.

Dlamini Z, Francies FZ, Hull R, Marima R. Dlamini Z, et al. Comput Struct Biotechnol J. 2020 Aug 28;18:2300-2311. doi: 10.1016/j.csbj.2020.08.019. eCollection 2020. Comput Struct Biotechnol J. 2020. PMID: 32994889 Free PMC article. Review.

9

Application of Artificial Intelligence in Acute Coronary Syndrome: A Brief Literature Review.

Wang H, Zu Q, Chen J, Yang Z, Ahmed MA. Wang H, et al. Adv Ther. 2021 Oct;38(10):5078-5086. doi: 10.1007/s12325-021-01908-2. Epub 2021 Sep 15. Adv Ther. 2021. PMID: 34528221 Review.

10

MRI-based machine learning radiomics can predict HER2 expression level and pathologic response after neoadjuvant therapy in HER2 overexpressing breast cancer.

Bitencourt AGV, Gibbs P, Rossi Saccarelli C, Daimiel I, Lo Gullo R, Fox MJ, Thakur S, Pinker K, Morris EA, Morrow M, Jochelson MS. Bitencourt AGV, et al. EBioMedicine. 2020 Nov;61:103042. doi: 10.1016/j.ebiom.2020.103042. Epub 2020 Oct 8. EBioMedicine. 2020. PMID: 33039708 Free PMC article.

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