Folgen
Shandong Wu, PhD
Titel
Zitiert von
Zitiert von
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Chaotic invariants of lagrangian particle trajectories for anomaly detection in crowded scenes
S Wu, BE Moore, M Shah
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
6552010
A deep learning method for classifying mammographic breast density categories
AA Mohamed, WA Berg, H Peng, Y Luo, RC Jankowitz, S Wu
Medical physics 45 (1), 314-321, 2018
2702018
Action recognition in videos acquired by a moving camera using motion decomposition of lagrangian particle trajectories
S Wu, O Oreifej, M Shah
2011 International conference on computer vision, 1419-1426, 2011
2262011
Deep Learning to Distinguish Recalled but Benign Mammography Images in Breast Cancer Screening
SS Aboutalib, AA Mohamed, WA Berg, ML Zuley, JH Sumkin, S Wu
Clinical Cancer Research 24 (23), 5902-5909, 2018
1202018
Breast cancer molecular subtype prediction by mammographic radiomic features
W Ma, Y Zhao, Y Ji, X Guo, X Jian, P Liu, S Wu
Academic radiology 26 (2), 196-201, 2019
1122019
Automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI using an atlas‐aided fuzzy C‐means method
S Wu, SP Weinstein, EF Conant, D Kontos
Medical physics 40 (12), 2013
872013
Automated chest wall line detection for whole‐breast segmentation in sagittal breast MR images
S Wu, SP Weinstein, EF Conant, MD Schnall, D Kontos
Medical physics 40 (4), 2013
862013
Flexible signature descriptions for adaptive motion trajectory representation, perception and recognition
S Wu, YF Li
Pattern Recognition 42 (1), 194-214, 2009
802009
Erratum to: Quantitative assessment of background parenchymal enhancement in breast MRI predicts response to risk-reducing salpingo-oophorectomy: preliminary evaluation in a …
S Wu, SP Weinstein, MJ DeLeo, EF Conant, J Chen, SM Domchek, ...
Breast Cancer Research 17 (1), 144, 2015
70*2015
Quantitative assessment of background parenchymal enhancement in breast MRI predicts response to risk-reducing salpingo-oophorectomy: preliminary evaluation in a cohort of …
S Wu, SP Weinstein, MJ DeLeo, EF Conant, J Chen, SM Domchek, ...
Breast Cancer Research 17 (1), 67, 2015
702015
Automated deep-learning method for whole-breast segmentation in diffusion-weighted breast MRI
L Zhang, R Chai, AA Mohamed, B Zheng, Z Luo, S Wu
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 109502R, 2019
572019
Differentiating axillary lymph node metastasis in invasive breast cancer patients: A comparison of radiomic signatures from multiparametric breast MR sequences
R Chai, H Ma, M Xu, D Arefan, X Cui, Y Liu, L Zhang, S Wu, K Xu
Journal of Magnetic Resonance Imaging, 2019
572019
Understanding clinical mammographic breast density assessment: a deep learning perspective
AA Mohamed, Y Luo, H Peng, RC Jankowitz, S Wu
Journal of digital imaging 31 (4), 387-392, 2018
572018
Dose–response effects of aerobic exercise on estrogen among women at high risk for breast cancer: a randomized controlled trial
KH Schmitz, NI Williams, D Kontos, S Domchek, KH Morales, WT Hwang, ...
Breast cancer research and treatment 154 (2), 309-318, 2015
482015
Impact of emphysema heterogeneity on pulmonary function
J Ju, R Li, S Gu, JK Leader, X Wang, Y Chen, B Zheng, S Wu, D Gur, ...
PLoS One 9 (11), e113320, 2014
432014
Deep-learning method for tumor segmentation in breast DCE-MRI
L Zhang, Z Luo, R Chai, D Arefan, J Sumkin, S Wu
Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and …, 2019
402019
On signature invariants for effective motion trajectory recognition
S Wu, YF Li
The International Journal of Robotics Research 27 (8), 895-917, 2008
392008
Breast MRI contrast enhancement kinetics of normal parenchyma correlate with presence of breast cancer
S Wu, WA Berg, ML Zuley, BF Kurland, RC Jankowitz, R Nishikawa, D Gur, ...
Breast Cancer Research 18 (1), 76, 2016
362016
The Dose–Response Effects of Aerobic Exercise on Body Composition and Breast Tissue among Women at High Risk for Breast Cancer: A Randomized Trial
JC Brown, D Kontos, MD Schnall, S Wu, KH Schmitz
Cancer Prevention Research 9 (7), 581-588, 2016
302016
A hierarchical motion trajectory signature descriptor
S Wu, YF Li, J Zhang
2008 IEEE International Conference on Robotics and Automation, 3070-3075, 2008
292008
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