Mohammad S. Eslampanah Sendi
Orcid: 0000-0003-2946-1786Affiliations:
- Georgia Institute of Technology, Atlanta, Georgia, USA
- Emory University, Atlanta, Georgia, USA
According to our database1,
Mohammad S. Eslampanah Sendi
authored at least 32 papers
between 2011 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
Disrupted Dynamic Functional Network Connectivity Among Cognitive Control Networks in the Progression of Alzheimer's Disease.
Brain Connect., August, 2023
Novel methods for elucidating modality importance in multimodal electrophysiology classifiers.
Frontiers Neuroinformatics, March, 2023
PhD thesis, 2023
Towards a multimodal neuroimaging-based risk score for Alzheimer's disease by combining clinical and large N>37000 population data.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Approaches to extract, characterize, and interpret dynamic functional network connectivity in fMRI data.
PhD thesis, 2022
A two-step clustering-based pipeline for big dynamic functional network connectivity data.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Default mode network dynamic functional network connectivity predicts psychotic symptom severity.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
An Unsupervised Feature Learning Approach for Elucidating Hidden Dynamics in rs-fMRI Functional Network Connectivity.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Exploring Relationships between Functional Network Connectivity and Cognition with an Explainable Clustering Approach.
Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022
2021
Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder.
Brain Connect., 2021
Hierarchical Neural Network with Layer-wise Relevance Propagation for Interpretable Multiclass Neural State Classification.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Brain age gap difference between healthy and mild dementia subjects: Functional network connectivity analysis.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
A Novel Activation Maximization-based Approach for Insight into Electrophysiology Classifiers.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021
2020
A Machine Learning Model for Exploring Aberrant Functional Network Connectivity Transition in Schizophrenia.
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2020
Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Amygdala Stimulation Leads to Functional Network Connectivity State Transitions in the Hippocampus.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Visualizing Functional Network Connectivity Difference between Healthy Control and Major Depressive Disorder Using an Explainable Machine-learning Method.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Visualizing functional network connectivity difference between middle adult and older subjects using an explainable machine-learning method.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
2019
A Cloud-based Framework for Implementing Portable Machine Learning Pipelines for Neural Data Analysis.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
IEEE Trans. Circuits Syst. II Express Briefs, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018
2017
Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017
A low-power temperature-compensated CMOS peaking current reference in subthreshold region.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
2015
Proceedings of the IEEE 13th International New Circuits and Systems Conference, 2015
Wireless interfacing to cortical neural recording implants using 4-FSK modulation scheme.
Proceedings of the 2015 IEEE International Conference on Electronics, 2015
Proceedings of the 2015 IEEE International Conference on Electronics, 2015
2014
A 3-D inductive powering approach dedicated to implantable/wearable biomedical microsystems.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014
2011
Proceedings of the 18th IEEE International Conference on Electronics, Circuits and Systems, 2011