Mahesh B. Nagarajan
According to our database1,
Mahesh B. Nagarajan
authored at least 28 papers
between 2010 and 2020.
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Bibliography
2020
Introducing Anisotropic Minkowski Functionals and Quantitative Anisotropy Measures for Local Structure Analysis in Biomedical Imaging.
CoRR, 2020
2018
Deep transfer learning for characterizing chondrocyte patterns in phase contrast X-Ray computed tomography images of the human patellar cartilage.
Comput. Biol. Medicine, 2018
2017
Characterizing cartilage microarchitecture on phase-contrast x-ray computed tomography using deep learning with convolutional neural networks.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
Mutual Connectivity Analysis (MCA) for Nonlinear Functional Connectivity Network Recovery in the Human Brain Using Convergent Cross-Mapping and Non-metric Clustering.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016
Assessing vertebral fracture risk on volumetric quantitative computed tomography by geometric characterization of trabecular bone structure.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Mutual connectivity analysis (MCA) using generalized radial basis function neural networks for nonlinear functional connectivity network recovery in resting-state functional MRI.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
Investigating changes in brain network properties in HIV-associated neurocognitive disease (HAND) using mutual connectivity analysis (MCA).
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
Detecting altered connectivity patterns in HIV associated neurocognitive impairment using mutual connectivity analysis.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
2015
Volumetric quantitative characterization of human patellar cartilage with topological and geometrical features on phase-contrast X-ray computed tomography.
Medical Biol. Eng. Comput., 2015
Functional connectivity analysis in resting state fMRI with echo-state networks and non-metric clustering for network structure recovery.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
Nonlinear functional connectivity network recovery in the human brain with mutual connectivity analysis (MCA): convergent cross-mapping and non-metric clustering.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
Investigating the use of mutual information and non-metric clustering for functional connectivity analysis on resting-state functional MRI.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
Characterizing trabecular bone structure for assessing vertebral fracture risk on volumetric quantitative computed tomography.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
Volumetric characterization of human patellar cartilage matrix on phase contrast x-ray computed tomography.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
2014
Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression.
J. Electronic Imaging, 2014
Computer-Aided Diagnosis for Phase-Contrast X-ray Computed Tomography: Quantitative Characterization of Human Patellar Cartilage with High-Dimensional Geometric Features.
J. Digit. Imaging, 2014
A Framework for Exploring Non-Linear Functional Connectivity and Causality in the Human Brain: Mutual Connectivity Analysis (MCA) of Resting-State Functional MRI with Convergent Cross-Mapping and Non-Metric Clustering.
CoRR, 2014
Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology.
Artif. Intell. Medicine, 2014
2013
Computer-Aided Diagnosis in Phase Contrast Imaging X-Ray Computed Tomography for Quantitative Characterization of ex vivo Human Patellar Cartilage.
IEEE Trans. Biomed. Eng., 2013
Classification of small lesions in dynamic breast MRI: eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement.
Mach. Vis. Appl., 2013
2012
Texture feature ranking with relevance learning to classify interstitial lung disease patterns.
Artif. Intell. Medicine, 2012
Predicting the biomechanical strength of proximal femur specimens with bone mineral density features and support vector regression.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
2011
Prediction of Biomechanical Properties of Trabecular Bone in MR Images With Geometric Features and Support Vector Regression.
IEEE Trans. Biomed. Eng., 2011
Classifying Small Lesions on Breast MRI through Dynamic Enhancement Pattern Characterization.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
Lesion classification on breast MRI through topological characterization of morphology over time.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Estimating local scaling properties for the classification of interstitial lung disease patterns.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Texture feature selection with relevance learning to classify interstitial lung disease patterns.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
2010
Analysis of breast lesions on contrast-enhanced magnetic resonance images using high-dimensional texture features.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010