Han F - Search Results

1

Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method.

Min X, Li M, Dong D, Feng Z, Zhang P, Ke Z, You H, Han F, Ma H, Tian J, Wang L. Min X, et al. Among authors: han f. Eur J Radiol. 2019 Jun;115:16-21. doi: 10.1016/j.ejrad.2019.03.010. Epub 2019 Mar 15. Eur J Radiol. 2019. PMID: 31084754 Free article.

2

Computed tomography-based predictive nomogram for differentiating primary progressive pulmonary tuberculosis from community-acquired pneumonia in children.

Wang B, Li M, Ma H, Han F, Wang Y, Zhao S, Liu Z, Yu T, Tian J, Dong D, Peng Y. Wang B, et al. Among authors: han f. BMC Med Imaging. 2019 Aug 8;19(1):63. doi: 10.1186/s12880-019-0355-z. BMC Med Imaging. 2019. PMID: 31395012 Free PMC article.

3

Evaluation of parametrial infiltration in cervical cancer with voxel-based segmentation of integrated ¹⁸F-FDG PET/MRI images: A preliminary study.

Wang T, Sun H, Han F, Sun W, Chen Z. Wang T, et al. Among authors: han f. Eur J Radiol. 2019 Sep;118:147-152. doi: 10.1016/j.ejrad.2019.07.020. Epub 2019 Jul 17. Eur J Radiol. 2019. PMID: 31439234

4

A hybrid CNN feature model for pulmonary nodule malignancy risk differentiation.

Wang H, Zhao T, Li LC, Pan H, Liu W, Gao H, Han F, Wang Y, Qi Y, Liang Z. Wang H, et al. Among authors: han f. J Xray Sci Technol. 2018;26(2):171-187. doi: 10.3233/XST-17302. J Xray Sci Technol. 2018. PMID: 29036877

5

CNN models discriminating between pulmonary micro-nodules and non-nodules from CT images.

Monkam P, Qi S, Xu M, Han F, Zhao X, Qian W. Monkam P, et al. Among authors: han f. Biomed Eng Online. 2018 Jul 16;17(1):96. doi: 10.1186/s12938-018-0529-x. Biomed Eng Online. 2018. PMID: 30012167 Free PMC article.

6

Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning.

Han F, Yan L, Chen J, Teng Y, Chen S, Qi S, Qian W, Yang J, Moore W, Zhang S, Liang Z. Han F, et al. J Digit Imaging. 2020 Jun;33(3):685-696. doi: 10.1007/s10278-019-00306-z. J Digit Imaging. 2020. PMID: 32144499 Free PMC article.

7

An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets.

Zhang S, Han F, Liang Z, Tan J, Cao W, Gao Y, Pomeroy M, Ng K, Hou W. Zhang S, et al. Among authors: han f. Comput Med Imaging Graph. 2019 Oct;77:101645. doi: 10.1016/j.compmedimag.2019.101645. Epub 2019 Aug 11. Comput Med Imaging Graph. 2019. PMID: 31454710 Free PMC article.

8

Automated prediction of early spontaneous miscarriage based on the analyzing ultrasonographic gestational sac imaging by the convolutional neural network: a case-control and cohort study.

Wang Y, Zhang Q, Yin C, Chen L, Yang Z, Jia S, Sun X, Bai Y, Han F, Yuan Z. Wang Y, et al. Among authors: han f. BMC Pregnancy Childbirth. 2022 Aug 5;22(1):621. doi: 10.1186/s12884-022-04936-0. BMC Pregnancy Childbirth. 2022. PMID: 35932003 Free PMC article.

9

The detection of crackles based on mathematical morphology in spectrogram analysis.

Zhang K, Wang X, Han F, Zhao H. Zhang K, et al. Among authors: han f. Technol Health Care. 2015;23 Suppl 2:S489-94. doi: 10.3233/THC-150986. Technol Health Care. 2015. PMID: 26410516

10

Texture feature analysis for computer-aided diagnosis on pulmonary nodules.

Han F, Wang H, Zhang G, Han H, Song B, Li L, Moore W, Lu H, Zhao H, Liang Z. Han F, et al. Among authors: han h. J Digit Imaging. 2015 Feb;28(1):99-115. doi: 10.1007/s10278-014-9718-8. J Digit Imaging. 2015. PMID: 25117512 Free PMC article.

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