Xingyu Li
Xingyu Li
Assistant Professor, Electrical and Computer Engineering, University of Alberta
Verified email at - Homepage
Cited by
Cited by
A complete color normalization approach to histopathology images using color cues computed from saturation-weighted statistics
X Li, KN Plataniotis
IEEE Transactions on Biomedical Engineering 62 (7), 1862-1873, 2015
Circular mixture modeling of color distribution for blind stain separation in pathology images
X Li, KN Plataniotis
IEEE journal of biomedical and health informatics 21 (1), 150-161, 2017
Discriminative Pattern Mining for Breast Cancer Histopathology Image Classification via Fully Convolutional Autoencoder
X Li, M Radulovic, K Kanjer, KN Plataniotis
IEEE Access 7, 36433-36445, 2019
Color model comparative analysis for breast cancer diagnosis using H and E stained images
X Li, KN Plataniotis
Medical Imaging 2015: Digital Pathology 9420, 94200L, 2015
Blind stain decomposition for histo-pathology images using circular nature of chroma components
X Li, KN Plataniotis
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International …, 2015
The pan-cytokeratin staining intensity and fractal computational analysis of breast tumor malignant growth patterns prognosticate the occurrence of distant metastasis
N Rajkovic, X Li, KN Plataniotis, K Kanjer, M Radulovic, NT Milošević
Frontiers in Oncology 8, 348, 2018
Color texture representation using circular-processing based Hue-LBP for histo-pathology image analysis
X Li, KN Plataniotis
Image Processing (ICIP), 2016 IEEE International Conference on, 3573-3577, 2016
Toward breast cancer histopathology image diagnosis using local color binary pattern
X Li, KN Plataniotis
14th Annual Imaging Network Ontario Symposium, 2016. ImNO 2016, 2016
Novel chromaticity similarity based color texture descriptor for digital pathology image analysis
X Li, KN Plataniotis
PloS one 13 (11), e0206996, 2018
Size and Shape Filtering of Malignant Cell Clusters within Breast Tumors Identifies Scattered Individual Epithelial Cells as the Most Valuable Histomorphological Clue in the …
V Vranes, N Rajković, X Li, KN Plataniotis, NT Raković, J Milovanović, ...
Cancers 11 (10), 1615, 2019
Diagnostic color estimation of tissue components in pathology images
X Li, KN Plataniotis
IEEE International Conference on Image Processing, 2015. ICIP 2015, 1-5, 2015
Stain Style Transfer of Histopathology Images Via Structure-Preserved Generative Learning
H Liang, KN Plataniotis, X Li
arXiv preprint arXiv:2007.12578, 2020
How Much Off-The-Shelf Knowledge Is Transferable From Natural Images To Pathology Images?
X Li, KN Plataniotis
arXiv preprint arXiv:2005.01609, 2020
Computational scratch assay—A new frontier for image analysis: Preliminary study of multi-cellular segmentation
X Li, KN Plataniotis
Signal and Information Processing (GlobalSIP), 2017 IEEE Global Conference …, 2017
Shape-included label-consistent discriminative dictionary learning: An approach to detect and segment multi-class objects in images
M Marsousi, X Li, KN Plataniotis
2016 IEEE International Conference on Image Processing (ICIP), 729-733, 2016
Circular Probabilistic Based Color Processing: Applications in Digital Pathology Image Analysis
X Li
An efficient key management scheme for live streaming
X Li, HV Zhao
Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE, 1-6, 2009
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