D. Rangaprakash

According to our database, D. Rangaprakash authored at least 16 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Resting State Neurophysiology of Agonist Antagonist Myoneural Interface in Transtibial Amputees.

Laura A. Chicos, D. Rangaprakash, Robert L. Barry, Hugh M. Herr

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

2021

Functional Connectivity-Based Prediction of Autism on Site Harmonized ABIDE Dataset.

Madhura Ingalhalikar, Sumeet Shinde, Arnav Karmarkar, Archith Rajan, D. Rangaprakash, Gopikrishna Deshpande

IEEE Trans. Biomed. Eng., 2021

Predicting Autism Spectrum Disorder from Brain Imaging Data by Graph Convolutional Network.

Yueen Ma, Da Yan, Cheng Long, D. Rangaprakash, Gopikrishna Deshpande

Proceedings of the International Joint Conference on Neural Networks, 2021

Improving Brain Dysfunction Prediction by GAN: A Functional-Connectivity Generator Approach.

Da Yan, Shengbin Wu, Mirza Tanzim Sami, Abdullateef Ibrahim Almudaifer, Zhe Jiang, Haiquan Chen, D. Rangaprakash, Gopikrishna Deshpande, Yueen Ma

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

DisConICA: a Software Package for Assessing Reproducibility of Brain Networks and their Discriminability across Disorders.

Mohammed A. Syed, Zhi Yang, D. Rangaprakash, Xiaoping Hu, Michael N. Dretsch, Jeffrey S. Katz, Thomas S. Denney, Gopikrishna Deshpande

Neuroinformatics, 2020

Density-based clustering of static and dynamic functional MRI connectivity features obtained from subjects with cognitive impairment.

D. Rangaprakash, Toluwanimi Odemuyiwa, D. Narayana Dutt, Gopikrishna Deshpande

Brain Informatics, 2020

2019

Deterioration from healthy to mild cognitive impairment and Alzheimer's disease mirrored in corresponding loss of centrality in directed brain networks.

Sinan Zhao, D. Rangaprakash, Peipeng Liang, Gopikrishna Deshpande

Brain Informatics, 2019

2018

Investigating the Correspondence of Clinical Diagnostic Grouping With Underlying Neurobiological and Phenotypic Clusters Using Unsupervised Machine Learning.

Xinyu Zhao, D. Rangaprakash, Bowen Yuan, Thomas S. Denney Jr., Jeffrey S. Katz, Michael N. Dretsch, Gopikrishna Deshpande

Frontiers Appl. Math. Stat., 2018

2017

Binarized Brain Connectivity: A Novel Autocorrelation-Based Iterative Synchronization Technique.

D. Rangaprakash

IEEE Trans. Signal Inf. Process. over Networks, 2017

2015

Fully Connected Cascade Artificial Neural Network Architecture for Attention Deficit Hyperactivity Disorder Classification From Functional Magnetic Resonance Imaging Data.

Gopikrishna Deshpande, Peng Wang, D. Rangaprakash, Bogdan M. Wilamowski

IEEE Trans. Cybern., 2015

Study of wrist pulse signals using time domain spatial features.

D. Rangaprakash, D. Narayana Dutt

Comput. Electr. Eng., 2015

Clustering of dynamic functional connectivity features obtained from functional Magnetic Resonance Imaging data.

Vajarala Ashikh, Gopikrishna Deshpande, D. Rangaprakash, D. Narayana Dutt

Proceedings of the 2015 International Conference on Advances in Computing, 2015

2014

Connectivity analysis of multichannel EEG signals using recurrence based phase synchronization technique.

D. Rangaprakash

Comput. Biol. Medicine, 2014

Study of phase synchronization in multichannel seizure EEG using nonlinear recurrence measure.

D. Rangaprakash, N. Pradhan

Biomed. Signal Process. Control., 2014

Study of wrist pulse signals using a bi-modal Gaussian model.

D. Rangaprakash, D. Narayana Dutt

Proceedings of the 2014 International Conference on Advances in Computing, 2014

2013

Phase Synchronization in Brain Networks derived from Correlation between Probabilities of Recurrences in Functional MRI Data.

D. Rangaprakash, Xiaoping Hu, Gopikrishna Deshpande

Int. J. Neural Syst., 2013