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Mohammad S. Eslampanah Sendi
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- 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 2024-10-07 21:25 CEST by the dblp team
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