Jay J. Pillai
Orcid: 0000-0002-8306-7192
  According to our database1,
  Jay J. Pillai
  authored at least 17 papers
  between 2003 and 2023.
  
  
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
- 
    on orcid.org
- 
    on id.loc.gov
- 
    on d-nb.info
On csauthors.net:
Bibliography
  2023
    npj Digit. Medicine, 2023
    
  
    NeuroImage, 2023
    
  
  2021
Automated eloquent cortex localization in brain tumor patients using multi-task graph neural networks.
    
  
    Medical Image Anal., 2021
    
  
A Multi-scale Spatial and Temporal Attention Network on Dynamic Connectivity to Localize the Eloquent Cortex in Brain Tumor Patients.
    
  
    Proceedings of the Information Processing in Medical Imaging, 2021
    
  
  2020
A Multi-task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients Using Dynamic Functional Connectivity.
    
  
    Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020
    
  
  2019
Multiparametric Deep Learning and Radiomics for Tumor Grading and Treatment Response Assessment of Brain Cancer: Preliminary Results.
    
  
    CoRR, 2019
    
  
Functional Magnetic Resonance Imaging Activation Optimization in the Setting of Brain Tumor-Induced Neurovascular Uncoupling Using Resting-State Blood Oxygen Level-Dependent Amplitude of Low Frequency Fluctuations.
    
  
    Brain Connect., 2019
    
  
A Novel Graph Neural Network to Localize Eloquent Cortex in Brain Tumor Patients from Resting-State fMRI Connectivity.
    
  
    Proceedings of the Connectomics in NeuroImaging - Third International Workshop, 2019
    
  
  2018
Defining Patient Specific Functional Parcellations in Lesional Cohorts via Markov Random Fields.
    
  
    Proceedings of the Connectomics in NeuroImaging - Second International Workshop, 2018
    
  
  2017
Dynamic Functional Connectivity States Between the Dorsal and Ventral Sensorimotor Networks Revealed by Dynamic Conditional Correlation Analysis of Resting-State Functional Magnetic Resonance Imaging.
    
  
    Brain Connect., 2017
    
  
The Resting-State Functional Magnetic Resonance Imaging Regional Homogeneity Metrics - Kendall's Coefficient of Concordance-Regional Homogeneity and Coherence-Regional Homogeneity - Are Valid Indicators of Tumor-Related Neurovascular Uncoupling.
    
  
    Brain Connect., 2017
    
  
Value of Frequency Domain Resting-State Functional Magnetic Resonance Imaging Metrics Amplitude of Low-Frequency Fluctuation and Fractional Amplitude of Low-Frequency Fluctuation in the Assessment of Brain Tumor-Induced Neurovascular Uncoupling.
    
  
    Brain Connect., 2017
    
  
  2016
Reporting of Resting-State Functional Magnetic Resonance Imaging Preprocessing Methodologies.
    
  
    Brain Connect., 2016
    
  
Demonstration of Brain Tumor-Induced Neurovascular Uncoupling in Resting-State fMRI at Ultrahigh Field.
    
  
    Brain Connect., 2016
    
  
  2013
    NeuroImage, 2013
    
  
  2003
Functional MRI study of semantic and phonological language processing in bilingual subjects: preliminary findings☆.
    
  
    NeuroImage, 2003