Yoganand Balagurunathan

发表

Change descriptors for determining nodule malignancy in national lung screening trial CT screening images

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2016, SPIE Medical Imaging.

Clustering granulometric features

Edward R. Dougherty, Junior Barrera, Marcel Brun, 2002, IS&T/SPIE Electronic Imaging.

Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features

Lubomir M. Hadjiiski, Lin Lu, Yoganand Balagurunathan, 2016, Tomography.

Normalization Benefits Microarray-Based Classification

Zixiang Xiong, Michael L. Bittner, Edward R. Dougherty, 2006, EURASIP J. Bioinform. Syst. Biol..

Granulometric parametric estimation for the random Boolean model using optimal linear filters and optimal structuring elements

Edward R. Dougherty, Yoganand Balagurunathan, 2003, Pattern Recognit. Lett..

Granulometric classifiers from small samples

Edward R. Dougherty, Junior Barrera, Ronaldo Fumio Hashimoto, 2002, IS&T/SPIE Electronic Imaging.

Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2014, IEEE Access.

Estimation of random model parameters via linear systems with granulometric inputs

Edward R. Dougherty, Yoganand Balagurunathan, 2000, SPIE Optics + Photonics.

Noise factor analysis for cDNA microarrays.

Yoganand Balagurunathan, Yidong Chen, Edward R Dougherty, 2004, Journal of biomedical optics.

Asymptotic joint normality of the granulometric moments

Edward R. Dougherty, Yoganand Balagurunathan, Krishnamoorthy Sivakumar, 2001, Pattern Recognit. Lett..

Morphological measurement of surface roughness

Edward R. Dougherty, Yoganand Balagurunathan, 1998, Other Conferences.

Explaining Deep Features Using Radiologist-Defined Semantic Features and Traditional Quantitative Features

Ying Liu, Lawrence O. Hall, Dmitry B. Goldgof, 2019, Tomography.

Representation of Deep Features using Radiologist defined Semantic Features

Robert J. Gillies, Ying Liu, Lawrence O. Hall, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Test–Retest Reproducibility Analysis of Lung CT Image Features

Robert J. Gillies, Ying Liu, Hua Wang, 2014, Journal of Digital Imaging.

Optimal linear granulometric estimation for random sets

Edward R. Dougherty, Yoganand Balagurunathan, 2002, Pattern Recognit..

Radiomic biomarkers from PET/CT multi-modality fusion images for the prediction of immunotherapy response in advanced non-small cell lung cancer patients

Yoganand Balagurunathan, Wei Mu, Jin Qi, 2018, Medical Imaging.

Quantitative imaging features to predict cancer status in lung nodules

Robert J. Gillies, Ying Liu, Qian Li, 2016, SPIE Medical Imaging.

JEI 2013 List of Reviewers

Nikolaos G. Bourbakis, Zeev Farbman, Kuo-Liang Chung, 2014, J. Electronic Imaging.

Morphological quantification of surface roughness

Edward R. Dougherty, Yoganand Balagurunathan, 2003 .

Random signal model for cDNA microarrays

Michael L. Bittner, Edward R. Dougherty, Yoganand Balagurunathan, 2001, SPIE BiOS.

Performance comparison of quantitative semantic features and lung-RADS in the National Lung Screening Trial

Robert J. Gillies, Ying Liu, Qian Li, 2016, SPIE Medical Imaging.

Simulation of cDNA microarrays via a parameterized random signal model.

Yoganand Balagurunathan, Yidong Chen, Edward R Dougherty, 2002, Journal of biomedical optics.

Improving malignancy prediction through feature selection informed by nodule size ranges in NLST

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

A Constant-time Algorithm for Erosions/Dilations with Applications to Morphological Texture Feature Computation

Nasser Kehtarnavaz, Edward R. Dougherty, Yoganand Balagurunathan, 2000, Real Time Imaging.