Rajagopalan.V, Erik. P. Pioro “ Graph theory network analysis reveals widespread white matter damage in brains of patients with classic ALS" Amyotroph Lateral Scler Frontotemporal Degener. 2024, 1-8, https://doi.org/10.1080/21678421.2024.2410281 (Impact Factor 2.5)

Vidyadharan, S., Rao, B.V.V.S.N.P., Yogeeswari, P. C.Kesavadas, Rajagopalan. V, "Accurate low and high grade glioma classification using free water eliminated diffusion tensor metrics and ensemble machine learning". Sci Rep 14, 19844 (2024). https://doi.org/10.1038/s41598-024-70627-9 (Impact Factor 3.8)

Rajagopalan.V, Erik. P. Pioro “Differing patterns of cortical gray matter pathology identified by multifractal analysis in UMN-predominant ALS patients with and without corticospinal tract hyperintensity”. J Neurol Sci. 2024 Apr 15;459:122945. doi: 10.1016/j.jns.2024.122945. Epub 2024 Mar 1. PMID: 38564847., (Impact Factor 4.4)

Rajagopalan.V, Erik. P. Pioro “Graph network measures reveal distinct white matter abnormalities in motor and extra-motor brain regions of two UMN-predominant ALS subtypes”.  J Neurol Sci., 2023, 127605, https://doi.org/ 10.1016/j.jns.2023.120765 ( Impact Factor 4.4)

Dheerendranath Battalapalli,  Sreejith. V, BVVSN. Prabhakar Rao, Yogeeswari. P, Kesavadas C.  Rajagopalan.V. “Fractal Dimension: Analyzing its Potential as a Neuroimaging Biomarker for Brain Tumor Diagnosis using Machine learning”,  Front. Physiol  07 July 2023, https://doi.org/10.3389/fphys.2023.1201617 ( impact factor 4.1)

Rajagopalan.V,, G.Krishna Chaitanya,, Erik. P. Pioro, ” Quantitative brain MRI metrics distinguish four different ALS phenotypes: a Machine Learning based study, “  Diagnostics, 2023,  13 (9), 1521;   (Impact factor 3.6)

Sreejith. V, BVVSN. Prabhakar Rao, Yogeeswari. P, Kesavadas C. Rajagopalan.V, “ Deep Learning classifies Low and High-grade glioma patients with high accuracy, sensitivity, and specificity based on their brain white matter networks derived from diffusion tensor imaging, “ Diagnostics 2022, 12 (12), 3216; https://doi.org/10.3390/diagnostics12123216 (Impact factor 3.6)

Rajagopalan.V, Erik. P. Pioro “Hypometabolic and hypermetabolic brain regions in patients with ALS-FTD show distinct patterns of grey and white matter degeneration: A pilot multimodal neuroimaging study”, European Journal of Radiology, 158 (1-2), 2023, 110616, Doi, 10.1016/j.ejrad.2022.110616  (impact factor 4.53)

Rajagopalan.V, Erik. P. Pioro “Graph theory network analysis provides brain MRI evidence of a partial continuum of neurodegeneration in patients with UMN-predominant ALS and ALS-FTD”  Neuroimage Clinical,  8 May, 2022,  103037,  https://doi.org/10.1016/j.nicl.2022.103037 (impact factor 4.88)

Dheerendranath Battalapalli, BVVSN Prabhakar Rao, P. Yogeeswari, C. Kesavadas, Rajagopalan.V “An optimal brain tumor segmentation algorithm for clinical MRI dataset with low resolution and non-contiguous slices”  BMC Medical Imaging , 22, Article Number 89, 2022 ( impact factor 1.93)

Aditya Viswakumar, Rajagopalan. V, Tathagata Ray, Pranitha Gottipati and Chandu Parimi, “ Development of a Robust, Simple, and Affordable Human Gait Analysis System using Bottom-up Pose Estimation with a Smartphone Camera”,  Front. Physiol 05 January 2022 doi:10.3389/fphys.2021.784865 (impact factor 4.75)

Rajagopalan.V, Erik. P. Pioro “Corticospinal tract and related grey matter morphometric shape analysis in ALS phenotypes: A fractal dimension study” Brain Sciences, 2021, 11(3), 371; https://doi.org/10.3390/brainsci11030371 (registering DOI) (impact factor 3.3)

Rajagopalan.V, Erik. P. Pioro. ^“Degeneration of grey and white matter differs between hypometabolic and hypermetabolic brain regions in a patient with ALS-FTD: A longitudinal MRI-PET multimodal study” Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, 2020 Sep 12;1-6 (impact factor 3.52)

Rajagopalan.V, Erik. P. Pioro, “¹⁸F-FDG PET, cortical thickness, and white matter graph network abnormalities in ALS-FTD patient brains suggest early neuronopathy rather than axonopathy” European Journal of Neurology, 2020, 27 (10), 1904-1912, (impact factor 6.28)

Rajagopalan.V, Erik P. Pioro “Unbiased MRI Analyses Identify Micropathologic Differences Between Upper Motor Neuron-Predominant ALS Phenotypes”  Frontiers in Neuroscience, Front. Neurosci., 12 July 2019 https://doi.org/10.3389/fnins.2019.00704 (impact factor 5.15)

Rajagopalan.V, Erik P. Pioro “Longitudinal 18F-FDG PET and MRI Reveal Evolving Imaging Pathology That Corresponds to Disease Progression in a Patient With ALS-FTD”  Frontiers in Neurology, Front. Neurol., 19 March 2019  https://doi.org/10.3389/fneur.2019.00234 (impact factor 4.0) 

Manu Gupta, Rajagopalan.V, B.V.V.S.N.Prabhakar Rao, Glioma grade classification using wavelet transform-local binary pattern based statistical texture features and geometric measures extracted from MRI, Journal of experimental & theoretical artificial intelligence, 2019, 31:1, 57-76 (impact factor 1.73)

Rajagopalan.V and Abhijit Das Luduan Zhang,, Frank Hillary, Glenn R Wylie, Guang H Yue Fractal dimension brain morphometry: A novel approach to quantify white matter in Traumatic Brain Injury,  Brain Imaging and Behavior  2018 Jun 16. doi: 10.1007/s11682-018-9892-2. [Epub ahead of print]  Springer (impact factor 3.22)

Sheela kumari R , Rajagopalan.V, Anuvitha C, Tinu Varghese, Luduan Zhang, Guang H Yue, P.S. Mathuranath, C.Kesavadas, Quantitative analysis of grey matter degeneration in FTD patients using fractal dimension analysis, Brain Imaging and Behavior 2017 Oct 30. doi: 10.1007/s11682-017-9784-x. [Epub ahead of print]  Springer (impact factor 3.22)

Manu Gupta, Rajagopalan.V,Erik P. Pioro, B. V. V. S. N. Prabhakar Rao, "Volumetric analysis of MR images for glioma class Impact Factorization and their effect on brain tissues", Signal, Image and Video Processing  2017 pp 1–9 (eprint) Springer (impact factor 1.102)

Rajagopalan V, Zhiguo Jiang,  Jelena Stojanovic-Radic, Guang H Yue, Erik P Pioro, Glenn R Wylie, and Abhijit Das "A Basic Introduction to Diffusion Tensor Imaging Mathematics and Image Processing Steps" Brain Disord Ther 2017, 6:229 (impact factor 1.0)  Highly Accessed

Rajagopalan V , Erik P. Pioro “Differential involvement of corticospinal tract fibers in ALS phenotypes: A diffusion tensor tractography and imaging study ”Neuroimage Clinical, Volume 14, 2017, Pages 574–579. (impact factor 4.88)

Rakesh B. Pilkar, Mathew Yarossi, Arvind Ramanujam, Rajagopalan V, Meghan Mitchell,Stephen Canton and Gail Forrest, “Application of Empirical Mode Decomposition Combined with Notch Filter to Interpret the Surface Electromyograms during Functional Electrical Stimulation” IEEE Trans Neural Syst Rehabil Eng. 2016 Nov 3. [Epub ahead of print] (impact factor 4.52)

Rajagopalan V, Erik P. Pioro “Brain Parenchymal fraction: A simple useful measure to distinguish ALS phenotypes clinically” Biomed Res Int. 2015;2015:693206. doi: 10.1155/2015/693206 (impact factor 2.13)

Rajagopalan V, Pioro EP  “Disparate voxel based morphometry (VBM) results between SPM and FSL softwares in ALS patients with frontotemporal dementia: which VBM results to consider?” BMC Neurol.(Part of Springer Nature) 2015 Dec;15(1):274. doi: 10.1186/s12883-015-0274-8. Epub 2015 Mar 13.  (impact factor 2.23)  Highly Accessed 

Rajagopalan V , Erik P. Pioro “Comparing brain structural MRI and metabolic FDG-PET changes in patients with ALS-FTD: “The chicken or the egg? question” J Neurol Neurosurg Psychiatry. 2015 Sep;86(9):952-8. doi: 10.1136/jnnp-2014-308239. Epub 2014 Dec 17 (impact factor 13.65)

Genova HM, Rajagopalan V, Nancy Chiaravalloti, Binder A, Deluca J, Jeannie Lengenfelder, “Facial Affect Recognition Linked to Damage in Specific White Matter Tracts in Traumatic Brain Injury” Soc Neurosci. 2015 Feb;10(1):27-34. doi: 10.1080/17470919.2014.959618. Epub 2014 Sep 16. (impact factor 2.87)

Cai B, Allexandre D, Rajagopalan V, Jiang Z, Siemionow V, Ranganathan VK, Davis MP, Walsh D, Dai K, Yue GH "Evidence of SignImpact Factoricant Central Fatigue in Patients with Cancer-Related Fatigue during Repetitive Elbow Flexions till Perceived Exhaustion" PLoS One. 2014 Dec 22;9(12):e115370. doi: 10.1371/journal.pone.0115370. eCollection 2014. (impact factor 2.13)

Rajagopalan V, Erik P. Pioro “Distinct patterns of grey matter atrophy in brains of ALS patients with or without dementia: A voxel based morphometry study” Amyotroph Lateral Scler Frontotemporal Degener. 2014 Jun;15(3-4):216-25. doi: 10.3109/21678421.2014.880179. Epub 2014 Feb 20 (impact factor 3.52)

Rajagopalan V, Guang H. Yue, and Erik P. Pioro “Do preprocessing algorithms and statistical models influence VBM results in ALS patients: A systematic comparison of two VBM analytical methods ” J Magn Reson Imaging. 2014 Sep;40(3):662-7. doi: 10.1002/jmri.24415. Epub 2013 Oct 31. (impact factor 5.11, an ISMRM Journal)

Genova HM, Rajagopalan V, Deluca J, Das A, Binder A, Arjunan A, Chiaravalloti N, Wylie G “Examination of cognitive fatigue in multiple sclerosis using functional magnetic resonance imaging and diffusion tensor imaging” PLoS One. 2013 Nov 1;8(11):e78811. doi: 10.1371/journal.pone.0078811. eCollection 2013

Rajagopalan V, Zao Liu , Didier Allexandre, Erik P Pioro, Luduan Zhang ,  Guang H Yue “Brain white matter shape changes in amyotrophic lateral sclerosis (ALS): A Fractal dimension study PLoS One. 2013 Sep 9; 8(9):e73614. doi: 10.1371/journal.pone.0073614 

Glenn Wylie, Venkateswaran Rajagopalan, Abhijit Das, Luduan Zhang, Guang Yue. “Fractal Dimension Assessment of Brain Morphometry as A Novel Biomarker in Traumatic Brain Injury” Journal of Head Trauma Rehabilitation 28(5):E58-E58 September 2013

Rajagopalan V ,Guang H. Yue, Erik P. Pioro “Brain white matter dImpact Factorfusion tensor metrics from clinical 1.5T MRI distinguish between ALS phenotypes”  ” Journal of Neurology. 2013, Vol 260,Issue 10, Page 2532-2540 (impact factor 6.68)

Rajagopalan V, Mark J. Lowe, Erik B. Beall, Guang H. Yue, Erik P. Pioro “T₂ relaxometry measurements in low spatial frequency brain regions dImpact Factorfer between fast spin-echo and multiple echo spin echo sequences” Magnetic Resonance Materials in Physics, Biology and Medicine 2013, Vol 26, issue 5, 443-450. (impact factor 2.53)

Rajagopalan V, Didier Allexandre, Guang H Yue, Erik P Pioro “Diffusion Tensor Imaging Evaluation of corticospinal tract hyperintensity in Upper motor neuron predominant ALS patients ” J Aging Res. 2011;2011:481745 doi: 10.4061/2011/481745 Epub 2011 Oct 26 (impact factor 4.7)

Conference Abstracts Published in High Impact Factor Journals

EP Pioro, V Rajagopalan Multimodal Neuroimaging Reveals Differential Gray and White Matter Degeneration in Hypo-and Hypermetabolic Brain Regions of Patients with ALS-FTD (P1-1. Virtual), American Academy of Neurology Conference, Published in Neurology, 2022,  98 (18 Supplement), (Impact Factor 11.8)

E Pioro, V Rajagopalan, Graph Theory Network Analysis Distinguishes Regional Brain Changes in UMNpredominant ALS Patients With and Without Corticospinal Tract Hyperintensity (P4. 440) American Academy of Neurology Conference, Neurology, 2018, 90 (15 Supplement),(Impact Factor 11.8)

Book Chapters

B Dheerendranath, BP Rao, P Yogeeswari, C Kesavadas, V Rajagopalan A Review on Brain Tumor Segmentation Algorithms Using Recent Deep Neural Network Architectures and a Gentle Introduction to Deep Neural Network Concepts, Microelectronics and Signal Processing, 227-244

Souvik Kundu Priyanka B G, Omkar Mukul Gowaikar, Jeffry LouisJeffry Louis, Rajesh Tripathy, Venkateswaran Rajagopalan, BVVSN Prabhakar Rao, Implementation of Binary Particle Swarm Optimization for Image Thresholding using Memristor Crossbar Array, Advances in Electrical and Computer Technologies, Select Proceedings of ICAECT 2021, 915–936

Conferences

Sreejith V, BVVSN Prabhakar Rao, P.Yogeeswari, C. Kesavadas, Venkateswaran Rajagopalan, Fusion of 3D Convolutional Neural Network and Multifractal Features for High and Low-grade Glioma Classification using Diffusion Tensor Imaging, IEEE CVMI, IIIT Allahabad, Oct 19-20, 2024 (Best Paper Award in Machine Intelligence Category)

Aditya Viswakumar, Venkateswaran Rajagopalan, Tathagata Ray, Chandu Parimi , A Robust, Simple, and Affordable Human Gait Analysis System using Bottom-up Pose Estimation with a Smartphone Camera International Conference on. Image Information Processing (ICIIP -2019). November 15 - 17 , 2019. Jaypee University of Information Technology

Venkateswaran Rajagopalan, Erik P Pioro, "Widespread Brain Changes Differentiated by Graph Theory Network Analysis in UMN-predominant ALS Patients With and Without Corticospinal Tract Hyperintensity" , International Symposium on ALS-MND , Glasgow, UK, Dec 7-9, 2018  

Venkateswaran Rajagopalan, Erik P Pioro, "UMN predominant ALS patients with or without cortical spinal tract hyperintensity are distinct phenotypes: Evidence from Graph Theory Network Analysis" American Academy of Neurology (AAN), Los Angeles, USA, April 21-27, 2018,

Chandu Parimi, Venkateswaran R, Sanketh V Sai, Vishal B Athreya, Prakash Shrivastava and Tathagata Ray  ," MS Kinect a potential gait analysis system: Clothing Effect on the gait kinematics" Presented in International Society of Biomechanics Brisbane, Australia,  July 2017

Manu Gupta, B.V.V.S.N.PrabhakarRao, Venkateswaran Rajagopalan Brain Tumor Detection in conventional MR Images based on Statistical Texture and Morphological Features",   15th  IEEE International Conference on Information Technology (ICIT) 2016, IIIT Bhubaneswar, India, December 22-24, 2016 

Manu Gupta, K.S.Gayatri, K.Harika, Dr. B.V.V.S.N.PrabhakarRao, Venkateswaran Rajagopalan, Dr. Abhijit Das, Dr.C.Kesavadas, " Brain Tumor Segmentation by Integrating Symmetric Property with Region Growing Approach", IEEE INDICON 2015, Jamia Millia Islamia, New Delhi, India, 17-20 December 2015.

Venkateswaran Rajagopalan, Erik P Pioro, "Sequential PET and MRI in a patient with ALS-FTD reveal worsening brain metabolism and cortical thinning with disease progression" ALS/MND Symposium, Miami, Florida, USA, Dec 2015

Manu Gupta, B.V.V.S.N. Prabakar Rao, Venkateswaran Rajagopalan, Abhijit Das, C.Kasavadas, " Volumetric Segmentation of Brain Tumor Based on Intensity Features of Multimodality Magnetic Resonance Imaging" (accepted for presentation) at IEEE International Conference on Computer, Communication and Control, MGI Indore, INDIA. September 10 -12, 2015. Paper identification number (IC4_5214)

Venkateswaran Rajagopalan, Abhijit Das, Luduan Zhang, Glenn R Wylie, and Guang H Yue “What's in a shape? Fractal dimension assessment of brain morphometry as a biomarker to predict cognitive outcome in Traumatic Brain Injury” (Presented at Society for Neuroscience Meeting, Nov, 2013)

Didier Allexandre, Bin Cai, Venkateswaran Rajagopalan, Zhiguo Jiang, Guang Yue “Understanding the neuromuscular mechanism of cancer-related fatigue-a preliminary study” (Presented at Society for Neuroscience Meeting, Nov, 2013 )

David A Cunningham, Andre Machado,  Venkateswaran Rajagopalan, Mark J Lowe,Stephen Jones, Erik Beall, Ken Sakaie, and Ela B Plow “DTI versus fMRI: accuracy and reliability in predicting response to TMS in Stroke  (American Neurological Academy,  Nov 2013)

Glenn R Wylie, Venkateswaran Rajagopalan, Luduan Zhang, Guang H Yue, Abhijit Das “Fractal dimension assessment of brain morphometry as a novel biomarker in Traumatic Brain Injury (Presented at North American Brain Injury Society, Sep 2013)

Venkateswaran Rajagopalan, Luduan Zhang, Glenn R.Wylie, Guang H Yue  "Reduced complexity level of brain white matter structure in traumatic brain injury"  ISPRM conference China, June, 2013 (shortlisted among 9 finalists for young investigator award)

Venkateswaran  Rajagopalan,  Guang  H.  Yue,  Erik  P.  Pioro  "Differential  Involvement of Corticospinal  Tract  Fibers in UMN-predominant  ALS  Patients"  Presented  at  3 rd   Neuroimaging society in ALS, 8-9 December 2012, Miami, Florida. 15. 

Venkateswaran  Rajagopalan,  Guang  H.  Yue,  Erik  P.  Pioro  "Differential  Involvement of Corticospinal  Tract  Fibers in UMN-predominant  ALS  Patients:  A  Diffusion  Tensor  Imaging and Tractography Study " Presented at 23rd International Symposium on ALS/MND, 5-7 December 2012 Chicago

Bonnett C, Cunningham D, Wyant A, Bayram MB, Janini D, Rajagopalan V, Mamone B, Hou J, Siemionow V, Plow EB, Yue GH. Central Neural Adaptations Underlying Voluntary Muscle Strengthening in Healthy Aged Individuals. Soc. Neurosci. Abstr., 582.22, 2012

Venkateswaran Rajagopalan, Guang H. Yue, Erik P. Pioro "Cortical grey matter atrophy in ALS  patients  with  or  without  cognitive  impairment:  A  voxel  based  morphometry  study"  poster presented at Society for Neuroscience 2011 Washington DC USA.

Zao Liu, Venkateswaran Rajagopalan, Guang  H. Yue, Erik P. Pioro " Fractal dimension analysis  of  brain  white  matter  complexity  in  amyotrophic  lateral  sclerosis  (ALS)  patients"    poster presented at Society for Neuroscience 2011 Washington DC USA

Venkateswaran  Rajagopalan,  S  Radhakrishnan    "Acquisition  and  Analysis  of  Electro-Oculogram  in  Normal  and  Best's  Dystrophy  Patients",  published  in  21 st   Southern  Bio-Medical Engineering Conference, Washington D.C., September 2002. 

Venkateswaran Rajagopalan, S Radhakrishnan "Classification of Night Blindness disorders by Electroretinogram signal analysis", JIPMER, Pondichery, October 2002.

Venkateswaran  Rajagopalan,  S  Radhakrishnan  "Analysis  and  classification  of Electroretinogram in Normals and Diseased Subjects" ICBME, Singapore 2002

Venkateswaran  Rajagopalan,  S  Radhakrishnan  "Classification  of  Central  Retinal  Vein Occlusion and Foveal Schisis by Electroretinogram signal Analysis ", IEEE Tencon, Bangalore 2003.