D. Rangaprakash

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 9

Top Topics

Functional Connectivity

Functional Magnetic Resonance Imaging

Cognitive Impairment

Brain Connectivity

Top Venues

Brain Informatics

IEEE Trans. Cybern.

Biomed. Signal Process. Control.

Publications

Laura A. Chicos, D. Rangaprakash, Robert L. Barry, Hugh M. Herr
Resting State Neurophysiology of Agonist Antagonist Myoneural Interface in Transtibial Amputees. NER (2023)
Yueen Ma, Da Yan, Cheng Long, D. Rangaprakash, Gopikrishna Deshpande
Predicting Autism Spectrum Disorder from Brain Imaging Data by Graph Convolutional Network. IJCNN (2021)
Madhura Ingalhalikar, Sumeet Shinde, Arnav Karmarkar, Archith Rajan, D. Rangaprakash, Gopikrishna Deshpande
Functional Connectivity-Based Prediction of Autism on Site Harmonized ABIDE Dataset. IEEE Trans. Biomed. Eng. 68 (12) (2021)
Da Yan, Shengbin Wu, Mirza Tanzim Sami, Abdullateef Ibrahim Almudaifer, Zhe Jiang, Haiquan Chen, D. Rangaprakash, Gopikrishna Deshpande, Yueen Ma
Improving Brain Dysfunction Prediction by GAN: A Functional-Connectivity Generator Approach. IEEE BigData (2021)
Mohammed A. Syed, Zhi Yang, D. Rangaprakash, Xiaoping Hu, Michael N. Dretsch, Jeffrey S. Katz, Thomas S. Denney, Gopikrishna Deshpande
DisConICA: a Software Package for Assessing Reproducibility of Brain Networks and their Discriminability across Disorders. Neuroinformatics 18 (1) (2020)
D. Rangaprakash, Toluwanimi Odemuyiwa, D. Narayana Dutt, Gopikrishna Deshpande
Density-based clustering of static and dynamic functional MRI connectivity features obtained from subjects with cognitive impairment. Brain Informatics 7 (1) (2020)
Sinan Zhao, D. Rangaprakash, Peipeng Liang, Gopikrishna Deshpande
Deterioration from healthy to mild cognitive impairment and Alzheimer's disease mirrored in corresponding loss of centrality in directed brain networks. Brain Informatics 6 (1) (2019)
Xinyu Zhao, D. Rangaprakash, Bowen Yuan, Thomas S. Denney Jr., Jeffrey S. Katz, Michael N. Dretsch, Gopikrishna Deshpande
Investigating the Correspondence of Clinical Diagnostic Grouping With Underlying Neurobiological and Phenotypic Clusters Using Unsupervised Machine Learning. Frontiers Appl. Math. Stat. 4 (2018)
D. Rangaprakash
Binarized Brain Connectivity: A Novel Autocorrelation-Based Iterative Synchronization Technique. IEEE Trans. Signal Inf. Process. over Networks 3 (4) (2017)
Gopikrishna Deshpande, Peng Wang, D. Rangaprakash, Bogdan M. Wilamowski
Fully Connected Cascade Artificial Neural Network Architecture for Attention Deficit Hyperactivity Disorder Classification From Functional Magnetic Resonance Imaging Data. IEEE Trans. Cybern. 45 (12) (2015)
D. Rangaprakash, D. Narayana Dutt
Study of wrist pulse signals using time domain spatial features. Comput. Electr. Eng. 45 (2015)
Vajarala Ashikh, Gopikrishna Deshpande, D. Rangaprakash, D. Narayana Dutt
Clustering of dynamic functional connectivity features obtained from functional Magnetic Resonance Imaging data. ICACCI (2015)
D. Rangaprakash, N. Pradhan
Study of phase synchronization in multichannel seizure EEG using nonlinear recurrence measure. Biomed. Signal Process. Control. 11 (2014)
D. Rangaprakash, D. Narayana Dutt
Study of wrist pulse signals using a bi-modal Gaussian model. ICACCI (2014)
D. Rangaprakash
Connectivity analysis of multichannel EEG signals using recurrence based phase synchronization technique. Comput. Biol. Medicine 46 (2014)
D. Rangaprakash, Xiaoping Hu, Gopikrishna Deshpande
Phase Synchronization in Brain Networks derived from Correlation between Probabilities of Recurrences in Functional MRI Data. Int. J. Neural Syst. 23 (2) (2013)