A Constant-time Algorithm for Erosions/Dilations with Applications to Morphological Texture Feature Computation. - Krishnamoorthy Sivakumar; Manish J. Patel; Nasser Kehtarnavaz; Yoganand Balagurunathan; Edward R. Dougherty (Real Time Imaging, 2000)

Asymptotic joint normality of the granulometric moments. - Krishnamoorthy Sivakumar; Yoganand Balagurunathan; Edward R. Dougherty (Pattern Recognit. Lett., 2001)

Granulometric classifiers from small samples. - Yoganand Balagurunathan; Ronaldo Fumio Hashimoto; Seungchan Kim; Junior Barrera; Edward R. Dougherty (Image Processing: Algorithms and Systems, 2002)

Clustering granulometric features. - Marcel Brun; Yoganand Balagurunathan; Junior Barrera; Edward R. Dougherty (Image Processing: Algorithms and Systems, 2002)

Optimal linear granulometric estimation for random sets. - Yoganand Balagurunathan; Edward R. Dougherty (Pattern Recognit., 2002)

Granulometric parametric estimation for the random Boolean model using optimal linear filters and optimal structuring elements. - Yoganand Balagurunathan; Edward R. Dougherty (Pattern Recognit. Lett., 2003)

Normalization Benefits Microarray-Based Classification. - Jianping Hua; Yoganand Balagurunathan; Yidong Chen 002; James Lowey; Michael L. Bittner; Zixiang Xiong; Edward Suh; Edward R. Dougherty (EURASIP J. Bioinform. Syst. Biol., 2006)

Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features. - Samuel H. Hawkins; John N. Korecki; Yoganand Balagurunathan; Yuhua Gu; Virendra Kumar; Satrajit Basu; Lawrence O. Hall; Dmitry B. Goldgof; Robert A. Gatenby; Robert J. Gillies (IEEE Access, 2014)

Test-Retest Reproducibility Analysis of Lung CT Image Features. - Yoganand Balagurunathan; Virendra Kumar; Yuhua Gu; Jongphil Kim; Hua Wang; Ying Liu; Dmitry B. Goldgof; Lawrence O. Hall; René Korn; Binsheng Zhao; Lawrence H. Schwartz; Satrajit Basu; et al. (J. Digit. Imaging, 2014)

Change descriptors for determining nodule malignancy in national lung screening trial CT screening images. - Benjamin Geiger; Samuel H. Hawkins; Lawrence O. Hall; Dmitry B. Goldgof; Yoganand Balagurunathan; Robert A. Gatenby; Robert J. Gillies (Computer-Aided Diagnosis, 2016)

Performance comparison of quantitative semantic features and lung-RADS in the National Lung Screening Trial. - Qian Li; Yoganand Balagurunathan; Ying Liu; Matthew B. Schabath; Robert J. Gillies (Image Perception, Observer Performance, and Technology Assessment, 2016)

Quantitative imaging features to predict cancer status in lung nodules. - Ying Liu; Yoganand Balagurunathan; Thomas Atwater; Sanja Antic; Qian Li; Ronald Walker; Gary T. Smith; Pierre P. Massion; Matthew B. Schabath; Robert J. Gillies (Image Perception, Observer Performance, and Technology Assessment, 2016)

Improving malignancy prediction through feature selection informed by nodule size ranges in NLST. - Dmitry Cherezov; Samuel H. Hawkins; Dmitry B. Goldgof; Lawrence O. Hall; Yoganand Balagurunathan; Robert J. Gillies; Matthew B. Schabath (SMC, 2016)

Representation of Deep Features using Radiologist defined Semantic Features. - Rahul Paul; Ying Liu; Qian Li; Lawrence O. Hall; Dmitry B. Goldgof; Yoganand Balagurunathan; Matthew B. Schabath; Robert J. Gillies (IJCNN, 2018)

Radiomic biomarkers from PET/CT multi-modality fusion images for the prediction of immunotherapy response in advanced non-small cell lung cancer patients. - Wei Mu; Jin Qi; Hong Lu; Matthew B. Schabath; Yoganand Balagurunathan; Ilke Tunali; Robert James Gillies (Computer-Aided Diagnosis, 2018)

A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets. - Pritam Mukherjee; Mu Zhou; Edward Lee; Anne Schicht; Yoganand Balagurunathan; Sandy Napel; Robert J. Gillies; Simon Wong; Alexander Thieme; Ann N. Leung; Olivier Gevaert (Nat. Mach. Intell., 2020)

Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. - Yoganand Balagurunathan; Andrew Beers; Michael F. McNitt-Gray; Lubomir M. Hadjiiski; Sandy Napel; Dmitry B. Goldgof; Gustavo Pérez; Pablo Arbeláez; Alireza Mehrtash; Tina Kapur; Ehwa Yang; Jung Won Moon; et al. (IEEE Trans. Medical Imaging, 2021)