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Priya Aggarwal
Anubha Gupta

Showing results (1-10 of 101) with videos related to

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Computers in Biology and Medicine|November 5, 2017
Double temporal sparsity based accelerated reconstruction of compressively sensed resting-state fMRIPriya Aggarwal, Anubha Gupta
Plos One|November 29, 2018
Low rank and sparsity constrained method for identifying overlapping functional brain networksPriya Aggarwal, Anubha Gupta
Medical Image Analysis|June 1, 2019
Multivariate graph learning for detecting aberrant connectivity of dynamic brain networks in autismPriya Aggarwal, Anubha Gupta
Medical Image Analysis|September 4, 2017
Multivariate brain network graph identification in functional MRIPriya Aggarwal, Anubha Gupta, Ajay Garg
Brain Informatics|January 12, 2017
Optshrink LR + S: accelerated fMRI reconstruction using non-convex optimal singular value shrinkagePriya Aggarwal, Parth Shrivastava, Tanay Kabra, et al.
Applied Soft Computing|April 18, 2022
A comparative study for predictive monitoring of COVID-19 pandemicBinish Fatimah, Priya Aggarwal, Pushpendra Singh, et al.
Proceedings. Indian Conference on Computer Vision, Graphics & Image Processing|November 9, 2022
Robust Brain State Decoding using Bidirectional Long Short Term Memory Networks in functional MRIAnant Mittal, Priya Aggarwal, Luiz Pessoa, et al.
Computers in Biology and Medicine|September 16, 2022
GCRS: A hybrid graph convolutional network for risk stratification in multiple myeloma cancer patientsDikshant Sagar, Priya Aggarwal, Akanksha Farswan, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|August 11, 2025
MuSARCyto: Multi-Head Self-Attention-Based Representation Learning for Unsupervised Clustering of Cytometry DataAnubha Gupta, Ritika Hooda, Sachin Motwani, et al.
Computers in Biology and Medicine|March 19, 2022
COVID-19 image classification using deep learning: Advances, challenges and opportunitiesPriya Aggarwal, Narendra Kumar Mishra, Binish Fatimah, et al.
Pageof 11

Showing results (1-10 of 101) with videos related to

Sort By:
Pageof 11
Computers in Biology and Medicine|November 5, 2017
Double temporal sparsity based accelerated reconstruction of compressively sensed resting-state fMRIPriya Aggarwal, Anubha Gupta
Plos One|November 29, 2018
Low rank and sparsity constrained method for identifying overlapping functional brain networksPriya Aggarwal, Anubha Gupta
Medical Image Analysis|June 1, 2019
Multivariate graph learning for detecting aberrant connectivity of dynamic brain networks in autismPriya Aggarwal, Anubha Gupta
Medical Image Analysis|September 4, 2017
Multivariate brain network graph identification in functional MRIPriya Aggarwal, Anubha Gupta, Ajay Garg
Brain Informatics|January 12, 2017
Optshrink LR + S: accelerated fMRI reconstruction using non-convex optimal singular value shrinkagePriya Aggarwal, Parth Shrivastava, Tanay Kabra, et al.
Applied Soft Computing|April 18, 2022
A comparative study for predictive monitoring of COVID-19 pandemicBinish Fatimah, Priya Aggarwal, Pushpendra Singh, et al.
Proceedings. Indian Conference on Computer Vision, Graphics & Image Processing|November 9, 2022
Robust Brain State Decoding using Bidirectional Long Short Term Memory Networks in functional MRIAnant Mittal, Priya Aggarwal, Luiz Pessoa, et al.
Computers in Biology and Medicine|September 16, 2022
GCRS: A hybrid graph convolutional network for risk stratification in multiple myeloma cancer patientsDikshant Sagar, Priya Aggarwal, Akanksha Farswan, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|August 11, 2025
MuSARCyto: Multi-Head Self-Attention-Based Representation Learning for Unsupervised Clustering of Cytometry DataAnubha Gupta, Ritika Hooda, Sachin Motwani, et al.
Computers in Biology and Medicine|March 19, 2022
COVID-19 image classification using deep learning: Advances, challenges and opportunitiesPriya Aggarwal, Narendra Kumar Mishra, Binish Fatimah, et al.
Pageof 11