Hao D - Search Results

1

Fully Automated Approach for Diagnosis of Supraspinatus Tendon Tear on Shoulder MRI by Using Deep Learning.

Cui J, Xia X, Wang J, Li X, Huang M, Miao S, Hao D, Li J. Cui J, et al. Among authors: hao d. Acad Radiol. 2023 Oct 26:S1076-6332(23)00479-8. doi: 10.1016/j.acra.2023.09.012. Online ahead of print. Acad Radiol. 2023. PMID: 39492332

2

Primary bone tumor detection and classification in full-field bone radiographs via YOLO deep learning model.

Li J, Li S, Li X, Miao S, Dong C, Gao C, Liu X, Hao D, Xu W, Huang M, Cui J. Li J, et al. Among authors: hao d. Eur Radiol. 2023 Jun;33(6):4237-4248. doi: 10.1007/s00330-022-09289-y. Epub 2022 Nov 30. Eur Radiol. 2023. PMID: 36449060

3

An MRI-Based Deep Transfer Learning Radiomics Nomogram to Predict Ki-67 Proliferation Index of Meningioma.

Duan C, Hao D, Cui J, Wang G, Xu W, Li N, Liu X. Duan C, et al. Among authors: hao d. J Imaging Inform Med. 2024 Apr;37(2):510-519. doi: 10.1007/s10278-023-00937-3. Epub 2024 Jan 10. J Imaging Inform Med. 2024. PMID: 38343220 Free PMC article.

4

A CT-based radiomics nomogram for differentiation of lympho-associated benign and malignant lesions of the parotid gland.

Zheng YM, Xu WJ, Hao DP, Liu XJ, Gao CP, Tang GZ, Li J, Wang HX, Dong C. Zheng YM, et al. Eur Radiol. 2021 May;31(5):2886-2895. doi: 10.1007/s00330-020-07421-4. Epub 2020 Oct 30. Eur Radiol. 2021. PMID: 33123791

5

Development and validation of a CT-based deep learning radiomics signature to predict lymph node metastasis in oropharyngeal squamous cell carcinoma: a multicentre study.

Jiang T, Wang H, Li J, Wang T, Zhan X, Wang J, Wang N, Nie P, Cui S, Zhao X, Hao D. Jiang T, et al. Among authors: hao d. Dentomaxillofac Radiol. 2025 Jan 1;54(1):77-87. doi: 10.1093/dmfr/twae051. Dentomaxillofac Radiol. 2025. PMID: 39271161

6

Standard diffusion-weighted, intravoxel incoherent motion, and dynamic contrast-enhanced MRI of musculoskeletal tumours: correlations with Ki67 proliferation status.

Zhan J, Hao D, Wang D, Yue B, Zhou R, Tian N, Liu M, Gao C, Xu W, Cui J. Zhan J, et al. Among authors: hao d. Clin Radiol. 2021 Dec;76(12):941.e11-941.e18. doi: 10.1016/j.crad.2021.09.004. Epub 2021 Sep 25. Clin Radiol. 2021. PMID: 34579866

7

Computed tomography and magnetic resonance imaging features of cervical chordoma.

Cui JF, Hao DP, Chen HS, Liu JH, Hou F, Xu WJ. Cui JF, et al. Oncol Lett. 2018 Jul;16(1):861-865. doi: 10.3892/ol.2018.8721. Epub 2018 May 16. Oncol Lett. 2018. PMID: 29963156 Free PMC article.

8

Magnetic Resonance Features and Characteristic Vascular Pattern of Alveolar Soft-Part Sarcoma.

Cui JF, Chen HS, Hao DP, Liu JH, Hou F, Xu WJ. Cui JF, et al. Oncol Res Treat. 2017;40(10):580-585. doi: 10.1159/000477443. Epub 2017 Sep 20. Oncol Res Treat. 2017. PMID: 28950275

9

Multi-parametric MRI-based radiomics signature for preoperative prediction of Ki-67 proliferation status in sinonasal malignancies: a two-centre study.

Bi S, Li J, Wang T, Man F, Zhang P, Hou F, Wang H, Hao D. Bi S, et al. Among authors: hao d. Eur Radiol. 2022 Oct;32(10):6933-6942. doi: 10.1007/s00330-022-08780-w. Epub 2022 Jun 10. Eur Radiol. 2022. PMID: 35687135

10

An integrated radiopathomics machine learning model to predict pathological response to preoperative chemotherapy in gastric cancer.

Song Y, Liu S, Liu X, Jia H, Shi H, Liu X, Hao D, Wang H, Xing X. Song Y, et al. Among authors: hao d. Acad Radiol. 2024 Aug 29:S1076-6332(24)00578-6. doi: 10.1016/j.acra.2024.08.014. Online ahead of print. Acad Radiol. 2024. PMID: 39214816

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Article Language

Species

Sex

Age

Other

1,787 results

Search Page

Filters