Chan S - Search Results

1

Prediction of breast cancer molecular subtypes on DCE-MRI using convolutional neural network with transfer learning between two centers.

Zhang Y, Chen JH, Lin Y, Chan S, Zhou J, Chow D, Chang P, Kwong T, Yeh DC, Wang X, Parajuli R, Mehta RS, Wang M, Su MY. Zhang Y, et al. Among authors: chan s. Eur Radiol. 2021 Apr;31(4):2559-2567. doi: 10.1007/s00330-020-07274-x. Epub 2020 Oct 1. Eur Radiol. 2021. PMID: 33001309 Free PMC article.

2

Spatial shrinkage/expansion patterns between breast density measured in two MRI scans evaluated by non-rigid registration.

Lin M, Chen JH, Mehta RS, Bahri S, Chan S, Nalcioglu O, Su MY. Lin M, et al. Among authors: chan s. Phys Med Biol. 2011 Sep 21;56(18):5865-75. doi: 10.1088/0031-9155/56/18/006. Epub 2011 Aug 18. Phys Med Biol. 2011. PMID: 21852724 Free PMC article.

3

Opportunistic Breast Density Assessment in Women Receiving Low-dose Chest Computed Tomography Screening.

Chen JH, Chan S, Lu NH, Li Y, Tsai YC, Huang PY, Chang CJ, Su MY. Chen JH, et al. Among authors: chan s. Acad Radiol. 2016 Sep;23(9):1154-61. doi: 10.1016/j.acra.2016.05.003. Epub 2016 Jun 6. Acad Radiol. 2016. PMID: 27283069 Free PMC article.

4

Quantitative analysis of peri-tumor fat in different molecular subtypes of breast cancer.

Chen JH, Zhang Y, Chan S, Chang RF, Su MY. Chen JH, et al. Among authors: chan s. Magn Reson Imaging. 2018 Nov;53:34-39. doi: 10.1016/j.mri.2018.06.019. Epub 2018 Jun 30. Magn Reson Imaging. 2018. PMID: 29969646 Free PMC article.

5

Automatic Breast and Fibroglandular Tissue Segmentation in Breast MRI Using Deep Learning by a Fully-Convolutional Residual Neural Network U-Net.

Zhang Y, Chen JH, Chang KT, Park VY, Kim MJ, Chan S, Chang P, Chow D, Luk A, Kwong T, Su MY. Zhang Y, et al. Among authors: chan s. Acad Radiol. 2019 Nov;26(11):1526-1535. doi: 10.1016/j.acra.2019.01.012. Epub 2019 Jan 31. Acad Radiol. 2019. PMID: 30713130 Free PMC article.

6

Automatic Detection and Segmentation of Breast Cancer on MRI Using Mask R-CNN Trained on Non-Fat-Sat Images and Tested on Fat-Sat Images.

Zhang Y, Chan S, Park VY, Chang KT, Mehta S, Kim MJ, Combs FJ, Chang P, Chow D, Parajuli R, Mehta RS, Lin CY, Chien SH, Chen JH, Su MY. Zhang Y, et al. Among authors: chan s. Acad Radiol. 2022 Jan;29 Suppl 1(Suppl 1):S135-S144. doi: 10.1016/j.acra.2020.12.001. Epub 2020 Dec 13. Acad Radiol. 2022. PMID: 33317911 Free PMC article.

7

Development of U-Net Breast Density Segmentation Method for Fat-Sat MR Images Using Transfer Learning Based on Non-Fat-Sat Model.

Zhang Y, Chan S, Chen JH, Chang KT, Lin CY, Pan HB, Lin WC, Kwong T, Parajuli R, Mehta RS, Chien SH, Su MY. Zhang Y, et al. Among authors: chan s. J Digit Imaging. 2021 Aug;34(4):877-887. doi: 10.1007/s10278-021-00472-z. Epub 2021 Jul 9. J Digit Imaging. 2021. PMID: 34244879 Free PMC article.

8

Development of a quantitative method for analysis of breast density based on three-dimensional breast MRI.

Nie K, Chen JH, Chan S, Chau MK, Yu HJ, Bahri S, Tseng T, Nalcioglu O, Su MY. Nie K, et al. Among authors: chan s. Med Phys. 2008 Dec;35(12):5253-62. doi: 10.1118/1.3002306. Med Phys. 2008. PMID: 19175084 Free PMC article.

9

Age- and race-dependence of the fibroglandular breast density analyzed on 3D MRI.

Nie K, Su MY, Chau MK, Chan S, Nguyen H, Tseng T, Huang Y, McLaren CE, Nalcioglu O, Chen JH. Nie K, et al. Among authors: chan s. Med Phys. 2010 Jun;37(6):2770-6. doi: 10.1118/1.3426317. Med Phys. 2010. PMID: 20632587 Free PMC article.

10

A new bias field correction method combining N3 and FCM for improved segmentation of breast density on MRI.

Lin M, Chan S, Chen JH, Chang D, Nie K, Chen ST, Lin CJ, Shih TC, Nalcioglu O, Su MY. Lin M, et al. Among authors: chan s. Med Phys. 2011 Jan;38(1):5-14. doi: 10.1118/1.3519869. Med Phys. 2011. PMID: 21361169 Free PMC article.

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