Yoganand Balagurunathan

17 papers B 2Journal 9Unranked 6
YearRankTypeTitle / Venue / Authors
2021 J jnl
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge.
IEEE Trans. Medical Imaging
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
2020 J jnl
A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets.
Nat. Mach. Intell.
Pritam Mukherjee, Mu Zhou, Edward Lee, Anne Schicht, Yoganand Balagurunathan, Sandy Napel, Robert J. Gillies, Simon Wong, Alexander Thieme, Ann N. Leung, Olivier Gevaert
2018 — conf
Radiomic biomarkers from PET/CT multi-modality fusion images for the prediction of immunotherapy response in advanced non-small cell lung cancer patients.
Computer-Aided Diagnosis
Wei Mu, Jin Qi, Hong Lu, Matthew B. Schabath, Yoganand Balagurunathan, Ilke Tunali, Robert James Gillies
2018 B conf
Representation of Deep Features using Radiologist defined Semantic Features.
IJCNN
Rahul Paul, Ying Liu, Qian Li, Lawrence O. Hall, Dmitry B. Goldgof, Yoganand Balagurunathan, Matthew B. Schabath, Robert J. Gillies
2016 — conf
Change descriptors for determining nodule malignancy in national lung screening trial CT screening images.
Computer-Aided Diagnosis
Benjamin Geiger, Samuel H. Hawkins, Lawrence O. Hall, Dmitry B. Goldgof, Yoganand Balagurunathan, Robert A. Gatenby, Robert J. Gillies
2016 B conf
Improving malignancy prediction through feature selection informed by nodule size ranges in NLST.
SMC
Dmitry Cherezov, Samuel H. Hawkins, Dmitry B. Goldgof, Lawrence O. Hall, Yoganand Balagurunathan, Robert J. Gillies, Matthew B. Schabath
2016 — conf
Performance comparison of quantitative semantic features and lung-RADS in the National Lung Screening Trial.
Image Perception, Observer Performance, and Technology Assessment
Qian Li, Yoganand Balagurunathan, Ying Liu, Matthew B. Schabath, Robert J. Gillies
2016 — conf
Quantitative imaging features to predict cancer status in lung nodules.
Image Perception, Observer Performance, and Technology Assessment
Ying Liu, Yoganand Balagurunathan, Thomas Atwater, Sanja Antic, Qian Li, Ronald Walker, Gary T. Smith, Pierre P. Massion, Matthew B. Schabath, Robert J. Gillies
2014 J jnl
Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features.
IEEE Access
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
2014 J jnl
Test-Retest Reproducibility Analysis of Lung CT Image Features.
J. Digit. Imaging
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
2006 J jnl
Normalization Benefits Microarray-Based Classification.
EURASIP J. Bioinform. Syst. Biol.
Jianping Hua, Yoganand Balagurunathan, Yidong Chen, James Lowey, Michael L. Bittner, Zixiang Xiong, Edward Suh, Edward R. Dougherty
2003 J jnl
Granulometric parametric estimation for the random Boolean model using optimal linear filters and optimal structuring elements.
Pattern Recognit. Lett.
Yoganand Balagurunathan, Edward R. Dougherty
2002 — conf
Clustering granulometric features.
Image Processing: Algorithms and Systems
Marcel Brun, Yoganand Balagurunathan, Junior Barrera, Edward R. Dougherty
2002 — conf
Granulometric classifiers from small samples.
Image Processing: Algorithms and Systems
Yoganand Balagurunathan, Ronaldo Fumio Hashimoto, Seungchan Kim, Junior Barrera, Edward R. Dougherty
2002 J jnl
Optimal linear granulometric estimation for random sets.
Pattern Recognit.
Yoganand Balagurunathan, Edward R. Dougherty
2001 J jnl
Asymptotic joint normality of the granulometric moments.
Pattern Recognit. Lett.
Krishnamoorthy Sivakumar, Yoganand Balagurunathan, Edward R. Dougherty
2000 J jnl
A Constant-time Algorithm for Erosions/Dilations with Applications to Morphological Texture Feature Computation.
Real Time Imaging
Krishnamoorthy Sivakumar, Manish J. Patel, Nasser Kehtarnavaz, Yoganand Balagurunathan, Edward R. Dougherty