Venkateswaran Rajagopalan

发表

Examination of Cognitive Fatigue in Multiple Sclerosis using Functional Magnetic Resonance Imaging and Diffusion Tensor Imaging

G. Wylie, H. Genova, J. DeLuca, 2013, PloS one.

Comparing brain structural MRI and metabolic FDG-PET changes in patients with ALS-FTD: ‘the chicken or the egg?’ question

E. Pioro, V. Rajagopalan, Venkateswaran Rajagopalan, 2014, Journal of Neurology Neurosurgery & Psychiatry.

Hypometabolic and hypermetabolic brain regions in patients with ALS-FTD show distinct patterns of grey and white matter degeneration: A pilot multimodal neuroimaging study.

E. Pioro, V. Rajagopalan, Venkateswaran Rajagopalan, 2022, European journal of radiology.

Degeneration of gray and white matter differs between hypometabolic and hypermetabolic brain regions in a patient with ALS-FTD: a longitudinal MRI − PET multimodal study

E. Pioro, V. Rajagopalan, Venkateswaran Rajagopalan, 2020, Amyotrophic lateral sclerosis & frontotemporal degeneration.

Unbiased MRI Analyses Identify Micropathologic Differences Between Upper Motor Neuron-Predominant ALS Phenotypes

E. Pioro, V. Rajagopalan, Venkateswaran Rajagopalan, 2019, Front. Neurosci..

Facial affect recognition linked to damage in specific white matter tracts in traumatic brain injury

Venkateswaran Rajagopalan, John Deluca, H. Genova, 2015, Social neuroscience.

2‐Deoxy‐2‐[18F]fluoro‐d‐glucose positron emission tomography, cortical thickness and white matter graph network abnormalities in brains of patients with amyotrophic lateral sclerosis and frontotemporal dementia suggest early neuronopathy rather than axonopathy

E. Pioro, Venkateswaran Rajagopalan, 2020, European journal of neurology.

Distinct patterns of cortical atrophy in ALS patients with or without dementia: An MRI VBM study

E. Pioro, V. Rajagopalan, Venkateswaran Rajagopalan, 2014, Amyotrophic lateral sclerosis & frontotemporal degeneration.

Brain White Matter Shape Changes in Amyotrophic Lateral Sclerosis (ALS): A Fractal Dimension Study

Guang H. Yue, Didier Allexandre, Venkateswaran Rajagopalan, 2013, PloS one.

An optimal brain tumor segmentation algorithm for clinical MRI dataset with low resolution and non-contiguous slices

B. V. V. S. N. Rao, P. Yogeeswari, V. Rajagopalan, 2022, BMC Medical Imaging.

Quantitative analysis of grey matter degeneration in FTD patients using fractal dimension analysis

Guang H. Yue, Tinu Varghese, Venkateswaran Rajagopalan, 2018, Brain Imaging and Behavior.

Fractal dimension brain morphometry: a novel approach to quantify white matter in traumatic brain injury

Glenn R. Wylie, Guang H. Yue, Venkateswaran Rajagopalan, 2018, Brain Imaging and Behavior.

Fractal dimension: analyzing its potential as a neuroimaging biomarker for brain tumor diagnosis using machine learning

B. V. V. S. N. Rao, Kandala N. V. P. S. Rajesh, P. Yogeeswari, 2023, Frontiers in Physiology.

Glioma grade classification using wavelet transform-local binary pattern based statistical texture features and geometric measures extracted from MRI

B. V. V. S. N. Prabhakar Rao, Manu Gupta, Venkateswaran Rajagopalan, 2018, J. Exp. Theor. Artif. Intell..

Corticospinal Tract and Related Grey Matter Morphometric Shape Analysis in ALS Phenotypes: A Fractal Dimension Study

E. Pioro, V. Rajagopalan, Venkateswaran Rajagopalan, 2021, Brain sciences.

Do preprocessing algorithms and statistical models influence voxel‐based morphometry (VBM) results in amyotrophic lateral sclerosis patients? A systematic comparison of popular VBM analytical methods

G. Yue, E. Pioro, V. Rajagopalan, 2014, Journal of magnetic resonance imaging : JMRI.

Quantitative Brain MRI Metrics Distinguish Four Different ALS Phenotypes: A Machine Learning Based Study

E. Pioro, V. Rajagopalan, Krishna G. Chaitanya, 2023, Diagnostics.

Longitudinal 18F-FDG PET and MRI Reveal Evolving Imaging Pathology That Corresponds to Disease Progression in a Patient With ALS-FTD

E. Pioro, V. Rajagopalan, Venkateswaran Rajagopalan, 2019, Front. Neurol..

Brain Parenchymal Fraction: A Relatively Simple MRI Measure to Clinically Distinguish ALS Phenotypes

E. Pioro, V. Rajagopalan, Venkateswaran Rajagopalan, 2015, BioMed Research International.

Brain white matter diffusion tensor metrics from clinical 1.5T MRI distinguish between ALS phenotypes

G. Yue, E. Pioro, V. Rajagopalan, 2013, Journal of Neurology.

Application of Empirical Mode Decomposition Combined With Notch Filtering for Interpretation of Surface Electromyograms During Functional Electrical Stimulation

Mathew Yarossi, Venkateswaran Rajagopalan, Arvind Ramanujam, 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Evidence of Significant Central Fatigue in Patients with Cancer-Related Fatigue during Repetitive Elbow Flexions till Perceived Exhaustion

Guang H. Yue, Zhiguo Jiang, Didier Allexandre, 2014, PloS one.

Disparate voxel based morphometry (VBM) results between SPM and FSL softwares in ALS patients with frontotemporal dementia: which VBM results to consider?

Venkateswaran Rajagopalan, Erik P Pioro, E. Pioro, 2015, BMC Neurology.

A Basic Introduction to Diffusion Tensor Imaging Mathematics and ImageProcessing Steps

Zhiguo Jiang, Glenn R. Wylie, Guang H. Yue, 2017 .

Development of a Robust, Simple, and Affordable Human Gait Analysis System Using Bottom-Up Pose Estimation With a Smartphone Camera

C. Parimi, Tathagata Ray, V. Rajagopalan, 2022, Frontiers in Physiology.

Volumetric analysis of MR images for glioma classification and their effect on brain tissues

B. V. V. S. N. Prabhakar Rao, Manu Gupta, Venkateswaran Rajagopalan, 2017, Signal Image Video Process..