Mohammad S. Eslampanah Sendi

Orcid: 0000-0003-2946-1786

According to our database1, Mohammad S. Eslampanah Sendi authored at least 32 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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

An active learning framework for quantifying the effect of neuromodulation.
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
Algorithm-Agnostic Explainability for Unsupervised Clustering.
CoRR, 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

Dynamic patterns within the default mode network in schizophrenia subgroups.
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

A Novel Local Ablation Approach for Explaining Multimodal Classifiers.
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
Temperature Compensation in CMOS Peaking Current References.
IEEE Trans. Circuits Syst. II Express Briefs, 2018

A Spark-based Analytic Pipeline for Seizure Detection in EEG Big Data Streams.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

A Bio-Impedance Measurement IC for Neural Interface Applications.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

2017
A dual-mode passive rectifier for wide-range input power flow.
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
Zero-power mismatch-independent Digital to Analog converter.
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

A four bit low power 165MS/s flash-SAR ADC for sigma-delta ADC application.
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
CMOS-compatible structure for voltage-mode multiple-valued logic circuits.
Proceedings of the 18th IEEE International Conference on Electronics, Circuits and Systems, 2011


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