Siwa Chan

发表

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

Min-Ying Su, Rita S. Mehta, Wei-Ching Lin, 2021, Journal of Digital Imaging.

IDENTIFICATION AND DETECTION OF IMMATURE WHITE BLOOD CELLS THROUGH DEEP LEARNING

Yen-Chieh Ouyang, Siwa Chan, Ju-Huei Chien, 2021, 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech).

Template-based automatic breast segmentation on MRI by excluding the chest region.

Min-Ying Su, Xiaoyong Wang, Siping Chen, 2013, Medical physics.

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

Min-Ying Su, Orhan Nalcioglu, Ke Nie, 2008, Medical physics.

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

Min-Ying Su, Peter Chang, Vivian Youngjean Park, 2019, Academic radiology.

Response of bilateral breasts to the endogenous hormonal fluctuation in a menstrual cycle evaluated using 3D MRI.

Min-Ying Su, Muqing Lin, Siwa Chan, 2013, Magnetic resonance imaging.

Quantification of Regional Breast Density in Four Quadrants Using 3D MRI—A Pilot Study1

Min-Ying Su, Siwa Chan, Jeon-Hor Chen, 2015, Translational oncology.

Characterization of Pure Ductal Carcinoma In Situ on Dynamic Contrast-Enhanced MR Imaging: Do Nonhigh Grade and High Grade Show Different Imaging Features?

Min-Ying Su, Orhan Nalcioglu, Muqing Lin, 2010, Journal of oncology.

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

Min-Ying Su, Orhan Nalcioglu, Muqing Lin, 2011, Physics in medicine and biology.

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

Min-Ying Su, Orhan Nalcioglu, Ke Nie, 2008, Medical physics.

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

Min-Ying Su, Nan-Han Lu, Siwa Chan, 2016, Academic radiology.