Yoganand Balagurunathan

According to our database, Yoganand Balagurunathan authored at least 17 papers between 2000 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

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, Gabriel Bernardino Perez, Ricard Delgado-Gonzalo, Mohammad Mehdi Farhangi, Amir A. Amini, Renkun Ni, Xue Feng, Aditya Bagari, Kiran Vaidhya, Benjamin Veasey, Wiem Safta, Hichem Frigui, Joseph Enguehard, Ali Gholipour, Laura Silvana Castillo, Laura Alexandra Daza, Paul F. Pinsky, Jayashree Kalpathy-Cramer, Keyvan Farahani

IEEE Trans. Medical Imaging, 2021

2020

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

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

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

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

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

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

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 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

Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 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

Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

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

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

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, Steven Eschrich, Robert A. Gatenby, Robert J. Gillies

J. Digit. Imaging, 2014

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

2006

Normalization Benefits Microarray-Based Classification.

Jianping Hua, Yoganand Balagurunathan, Yidong Chen, James Lowey, Michael L. Bittner, Zixiang Xiong, Edward Suh, Edward R. Dougherty

EURASIP J. Bioinform. Syst. Biol., 2006

2003

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

2002

Optimal linear granulometric estimation for random sets.

Yoganand Balagurunathan, Edward R. Dougherty

Pattern Recognit., 2002

Clustering granulometric features.

Marcel Brun, Yoganand Balagurunathan, Junior Barrera, Edward R. Dougherty

Proceedings of the Image Processing: Algorithms and Systems, 2002

Granulometric classifiers from small samples.

Yoganand Balagurunathan, Ronaldo Fumio Hashimoto, Seungchan Kim, Junior Barrera, Edward R. Dougherty

Proceedings of the Image Processing: Algorithms and Systems, 2002

2001

Asymptotic joint normality of the granulometric moments.

Krishnamoorthy Sivakumar, Yoganand Balagurunathan, Edward R. Dougherty

Pattern Recognit. Lett., 2001

2000

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