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Mohammad S. Eslampanah Sendi
Person information
- affiliation: Georgia Institute of Technology, Atlanta, Georgia, USA
- affiliation: Emory University, Atlanta, Georgia, USA
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2020 – today
- 2023
- [b2]Mohammad S. Eslampanah Sendi:
An active learning framework for quantifying the effect of neuromodulation. Georgia Institute of Technology, Atlanta, GA, USA, 2023 - [j4]Mohammad S. Eslampanah Sendi
, Elaheh Zendehrouh, Zening Fu, Jingyu Liu, Yuhui Du, Elizabeth Mormino, David H. Salat, Vince D. Calhoun
, Robyn L. Miller:
Disrupted Dynamic Functional Network Connectivity Among Cognitive Control Networks in the Progression of Alzheimer's Disease. Brain Connect. 13(6): 334-343 (2023) - [j3]Charles A. Ellis, Mohammad S. Eslampanah Sendi, Rongen Zhang, Darwin A. Carbajal, May D. Wang, Robyn L. Miller, Vince D. Calhoun
:
Novel methods for elucidating modality importance in multimodal electrophysiology classifiers. Frontiers Neuroinformatics 17 (2023) - [c25]Elaheh Zendehrouh, Mohammad S. Eslampanah Sendi, Vince D. Calhoun
:
Towards a multimodal neuroimaging-based risk score for Alzheimer's disease by combining clinical and large N>37000 population data. EMBC 2023: 1-4 - 2022
- [b1]Mohammad S. Eslampanah Sendi:
Approaches to extract, characterize, and interpret dynamic functional network connectivity in fMRI data. Georgia Institute of Technology, Atlanta, GA, USA, 2022 - [c24]Charles A. Ellis, Martina Lapera Sancho, Mohammad S. Eslampanah Sendi, Robyn L. Miller, Vince D. Calhoun
:
Exploring Relationships between Functional Network Connectivity and Cognition with an Explainable Clustering Approach. BIBE 2022: 293-296 - [c23]Mohammad S. Eslampanah Sendi, Hossein Dini, Luis Emilio Bruni, Vince D. Calhoun:
Default mode network dynamic functional network connectivity predicts psychotic symptom severity. EMBC 2022: 247-250 - [c22]Mohammad S. Eslampanah Sendi, Robyn L. Miller, David H. Salat, Vince D. Calhoun:
A two-step clustering-based pipeline for big dynamic functional network connectivity data. EMBC 2022: 3741-3744 - [c21]Charles A. Ellis, Mohammad S. Eslampanah Sendi, Robyn L. Miller, Vince D. Calhoun:
An Unsupervised Feature Learning Approach for Elucidating Hidden Dynamics in rs-fMRI Functional Network Connectivity. EMBC 2022: 4449-4452 - 2021
- [j2]Mohammad S. Eslampanah Sendi
, Elaheh Zendehrouh, Jing Sui
, Zening Fu, Dongmei Zhi, Luxian Lv, Xiaohong Ma, Qing Ke, Xianbin Li, Chuanyue Wang
, Christopher C. Abbott, Jessica A. Turner, Robyn L. Miller, Vince D. Calhoun
:
Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder. Brain Connect. 11(10): 838-849 (2021) - [c20]Charles A. Ellis, Rongen Zhang
, Vince D. Calhoun
, Darwin A. Carbajal, Mohammad S. Eslampanah Sendi, May D. Wang, Robyn L. Miller:
A Novel Local Ablation Approach for Explaining Multimodal Classifiers. BIBE 2021: 1-6 - [c19]Charles A. Ellis, Mohammad S. Eslampanah Sendi, Robyn L. Miller, Vince D. Calhoun:
A Novel Activation Maximization-based Approach for Insight into Electrophysiology Classifiers. BIBM 2021: 3358-3365 - [c18]Mohammad S. Eslampanah Sendi, David H. Salat, Vince D. Calhoun
:
Brain age gap difference between healthy and mild dementia subjects: Functional network connectivity analysis. EMBC 2021: 1636-1639 - [c17]Mohammad S. Eslampanah Sendi, Elaheh Zendehrouh, Jessica A. Turner, Vince D. Calhoun
:
Dynamic patterns within the default mode network in schizophrenia subgroups. EMBC 2021: 1640-1643 - [c16]Charles A. Ellis, Mohammad S. Eslampanah Sendi, Jon T. Willie, Babak Mahmoudi:
Hierarchical Neural Network with Layer-wise Relevance Propagation for Interpretable Multiclass Neural State Classification. NER 2021: 351-354 - [i1]Charles A. Ellis, Mohammad S. Eslampanah Sendi, Sergey M. Plis, Robyn L. Miller, Vince D. Calhoun
:
Algorithm-Agnostic Explainability for Unsupervised Clustering. CoRR abs/2105.08053 (2021) - 2020
- [c15]Mohammad S. Eslampanah Sendi, Ji Ye Chun, Vince D. Calhoun
:
Visualizing functional network connectivity difference between middle adult and older subjects using an explainable machine-learning method. BIBE 2020: 955-960 - [c14]Ji Ye Chun, Mohammad S. Eslampanah Sendi, Jing Sui
, Dongmei Zhi, Vince D. Calhoun
:
Visualizing Functional Network Connectivity Difference between Healthy Control and Major Depressive Disorder Using an Explainable Machine-learning Method. EMBC 2020: 1424-1427 - [c13]Elaheh Zendehrouh, Mohammad S. Eslampanah Sendi, Jing Sui
, Zening Fu, Dongmei Zhi, Luxian Lv, Xiaohong Ma
, Qing Ke, Xianbin Li, Chuanyue Wang
, Christopher C. Abbott, Jessica A. Turner, Robyn L. Miller, Vince D. Calhoun
:
Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder. EMBC 2020: 1493-1496 - [c12]Mohammad S. Eslampanah Sendi, Vasiliki Kanta, Cory S. Inman
, Joseph R. Manns, Stephan Hamann, Robert E. Gross, Jon T. Willie, Babak Mahmoudi:
Amygdala Stimulation Leads to Functional Network Connectivity State Transitions in the Hippocampus. EMBC 2020: 3625-3628 - [c11]Mohammad S. Eslampanah Sendi, Elaheh Zendehrouh, Zening Fu, Babak Mahmoudi, Robyn L. Miller, Vince D. Calhoun
:
A Machine Learning Model for Exploring Aberrant Functional Network Connectivity Transition in Schizophrenia. SSIAI 2020: 112-115
2010 – 2019
- 2019
- [c10]Charles A. Ellis, Ping Gu, Mohammad S. Eslampanah Sendi, Daniel E. Huddleston
, Ashish Sharma, Babak Mahmoudi:
A Cloud-based Framework for Implementing Portable Machine Learning Pipelines for Neural Data Analysis. EMBC 2019: 4466-4469 - 2018
- [j1]Mohammad S. Eslampanah Sendi
, Siavash Kananian, Mohammad Sharifkhani, Amir M. Sodagar:
Temperature Compensation in CMOS Peaking Current References. IEEE Trans. Circuits Syst. II Express Briefs 65-II(9): 1139-1143 (2018) - [c9]Ajinkya Munge, Varsha Sankar, Mohammad S. Eslampanah Sendi, Maysam Ghovanloo, Ulkuhan Guler
:
A Bio-Impedance Measurement IC for Neural Interface Applications. BioCAS 2018: 1-4 - [c8]Mohammad S. Eslampanah Sendi, Mehrdad Heydarzadeh, Babak Mahmoudi:
A Spark-based Analytic Pipeline for Seizure Detection in EEG Big Data Streams. EMBC 2018: 4003-4006 - 2017
- [c7]Mohammad S. Eslampanah Sendi, Siavash Kananian, Elaheh Zendehrouh, Mohammad Sharifkhani, Amir M. Sodagar, Mahdi Shabany:
A low-power temperature-compensated CMOS peaking current reference in subthreshold region. ISCAS 2017: 1-4 - [c6]Ulkuhan Guler, Mohammad S. Eslampanah Sendi, Maysam Ghovanloo:
A dual-mode passive rectifier for wide-range input power flow. MWSCAS 2017: 1376-1379 - 2015
- [c5]Hasan Molaei, Ata Khorami, Mohammad S. Eslampanah Sendi, Khosrow Hajsadeghi:
A four bit low power 165MS/s flash-SAR ADC for sigma-delta ADC application. ICECS 2015: 153-156 - [c4]Mohammad S. Eslampanah Sendi, Mohsen Judy, Hasan Molaei, Amir M. Sodagar, Mohammad Sharifkhani:
Wireless interfacing to cortical neural recording implants using 4-FSK modulation scheme. ICECS 2015: 221-224 - [c3]Ata Khorami, Mohammad S. Eslampanah Sendi, Ali Nikoofard, Mohammad Sharifkhani:
Zero-power mismatch-independent Digital to Analog converter. NEWCAS 2015: 1-4 - 2014
- [c2]Mohammad S. Eslampanah Sendi, Soraya Nasiri, Narges Mousavi, Mohammad Sharifkhani, Amir M. Sodagar:
A 3-D inductive powering approach dedicated to implantable/wearable biomedical microsystems. BioCAS 2014: 424-427 - 2011
- [c1]Mohammad S. Eslampanah Sendi, Mohammad Sharifkhani, Amir M. Sodagar:
CMOS-compatible structure for voltage-mode multiple-valued logic circuits. ICECS 2011: 438-441
Coauthor Index
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last updated on 2024-08-23 18:36 CEST by the dblp team
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