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Dr Venkateswaran Rajgopalan

vidwan id: 228767
Male

Associate Professor, Department of Electrical and Electronics engineering
Birla Institute of Technology and Science

Expertise

  • Electrical and Electronic Engineering

Publications

Total Articles 42
Books 0
Proceedings 0

Publications

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Scopus

Citations 781
h-index 16

CrossRef

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Citations 713
h-index 15
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Bio

Biomedical signal /image processing, Machine Learning, Graph Theory

Personal Details

  • Male
  • Associate Professor , Birla Institute of Technology and Science
  • Hyderabad Campus Jawaharnagar, Kapra Mandal
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Associate Professor May 2014 – Present
Birla Institute of Technology and Science | Department of Electrical and Electronics engineering

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Organisations (1053+)

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Co-Authors (7)

VVSN Prabhakar Rao

Dr VVSN Prabhakar Rao Budhiraju

Birla Institute of Technology and Science

K V S Shiv

Dr K V S Shiv Chaitanya

Birla Institute of Technology and Science

Kesavadas

Dr Kesavadas C

Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram

Chandu

Dr Chandu Parimi

Birla Institute of Technology and Science

Perumal

Prof Perumal Yogeeswari

Birla Institute of Technology and Science

Tathagata

Dr Tathagata Ray

Birla Institute of Technology and Science

Rajesh Kumar

Dr Rajesh Kumar Tripathy

Birla Institute of Technology and Science

Scholarly Work

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Scholarly Publications

Graph theory network analysis reveals widespread white matter damage in brains of patients with classic ALS

Open Access
Article

Fusion of 3D Convolutional Neural Network and Multifractal Features for High- and Low-grade Glioma Classification using Diffusion Tensor Imaging

Open Access
Conference Paper
Authors: Vidyadharan S.;Rao B.P.;Yogeeswari P.;Kesavadas C.;Rajagopalan V.

Accurate low and high grade glioma classification using free water eliminated diffusion tensor metrics and ensemble machine learning

Open Access
Article
Authors: Vidyadharan S.;Rao B.V.V.S.N.P.;Yogeeswari P.;Kesavadas C.;Rajagopalan V.

Differing patterns of cortical grey matter pathology identified by multifractal analysis in UMN-predominant ALS patients with and without corticospinal tract hyperintensity

Open Access
Article

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

Open Access
Article

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

Open Access
Article
Authors: Rajagopalan V.;Chaitanya K.G.;Pioro E.P.

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

Open Access
Article
Authors: Battalapalli D.;Vidyadharan S.;Prabhakar Rao B.V.V.S.N.;Yogeeswari P.;Kesavadas C.;Rajagopalan V.

Graph network measures reveal distinct white matter abnormalities in motor and extra-motor brain regions of two UMN-predominant ALS subtypes

Open Access
Article