Xi Liang
Xi Liang
IBM Melbourne Research Lab; IBM Research Australia; National ICT Australia (NICTA); University of
Verified email at au1.ibm.com - Homepage
TitleCited byYear
Ibm research australia at lifeclef2014: Plant identification task
Q Chen, M Abedini, R Garnavi, X Liang
Working notes of CLEF 2014 Conference, 2014
282014
Phenotype Detection in Morphological Mutant Mice Using Deformation Features
S Roy, X Liang, A Kitamoto, M Tamura, T Shiroishi, MS Brown
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013, 437-444, 2013
72013
A lesion shape and margin characterization method in dynamic contrast enhanced magnetic resonance imaging of breast
X Liang, K Ramamohanarao, H Frazer, Q Yang
2012 9th Ieee International Symposium on Biomedical Imaging (Isbi), 1783-1786, 2012
72012
Automatic segmentation of the left ventricle into 17 anatomical regions in cardiac MR imaging
X Liang, R Garnavi, S Wail, S Liang, P Prasanna
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
62015
Lesion Segmentation in Dynamic Contrast Enhanced MRI of Breast
X Liang, K Ramamohanarao, H Frazer, Q Yang
Digital Image Computing Techniques and Applications (DICTA), 2012 …, 2012
62012
Automatic visualization of regional functional parameters of left ventricle from cardiac imaging
R Garnavi, X Liang, TF Syeda-Mahmood, SF Wail
US Patent 9,949,643, 2018
52018
Multi-atlas label fusion using hybrid of discriminative and generative classifiers for segmentation of cardiac MR images
S Sedai, R Garnavi, P Roy, X Liang
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
52015
Automatic classification framework for ventricular septal defects: a pilot study on high-throughput mouse embryo cardiac phenotyping
Z Xie, X Liang, L Guo, A Kitamoto, M Tamura, T Shiroishi, DF Gillies
Journal of Medical Imaging 2 (4), 041003, 2015
42015
Multi-atlas label fusion with augmented atlases for fast and accurate segmentation of cardiac MR images
L Xie, S Sedai, X Liang, CB Compas, H Wang, PA Yushkevich, ...
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 376-379, 2015
42015
Segmentation using hybrid discriminative generative label fusion of multiple atlases
R Garnavi, X Liang, S Sedai
US Patent 9,483,831, 2016
12016
Lesion detection in dynamic contrast enhanced magnetic resonance imaging of breast
X Liang, R Kotagiri, H Frazer, Q Yang
SPIE, Medical Imaging 9414, 94141X-94141X, 2015
1*2015
Multi-atlas based segmentation of multiple organs in breast MRI.
X Liang, S Sedai, H Wang, S Liang, N Hashmi, P Mcneillie, S Hashoul
SPIE Medical Imaging 9413, 94133R-94133R, 2015
12015
Towards high-throughput mouse embryonic phenotyping: a novel approach to classifying ventricular septal defects
X Liang, Z Xie, M Tamura, T Shiroishi, A Kitamoto
Medical Imaging 9413, 2015
12015
Image Processing For Improving Coagulation And Flocculation
A Bojovschi, R Chakravorty, S Kannam, X Liang
US Patent App. 16/372,548, 2019
2019
Segmentation using hybrid discriminative generative label fusion of multiple atlases
R Garnavi, X Liang, S Sedai
US Patent 9,792,694, 2017
2017
Image Processing for Improving Coagulation and Flocculation
A Bojovschi, R Chakravorty, S Kannam, X Liang
US Patent App. 14/953,687, 2017
2017
System and method for characterizing NANO/MICRO bubbles for particle recovery
A Bojovschi, X Liang
US Patent 9,652,841, 2017
2017
Special Section on Radiomics and Imaging Genomics: Quantitative radiomics: impact of stochastic effects on textural feature analysis implies the need for standards
MJ Nyflot, F Yang, D Byrd, SR Bowen, GA Sandison, PE Kinahan
Journal of Medical Imaging 2 (4), 2015
2015
IBM Research at Image CLEF 2015: Medical Clustering Task
S Sedai, X Liang, M Abedini, Q Chen, R Chakravorty, R Garnavi
2015
Breast cancer detection and diagnosis in dynamic contrast-enhanced magnetic resonance imaging
X Liang
2013
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