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Md Shakhawat Hossain
Observed name:
Md. Shakhawat Hossain
Institution:
Chittagong University of Engineering & Technology
Observed institutions:
Chittagong University of Engineering & Technology,
Pennsylvania State University,
The University of Texas Rio Grande Valley,
Independent University, Bangladesh,
Kochi University of Technology,
United International University
show all 6
ORCID:
0000-0001-9897-0854
Observed ORCID:
0000-0001-9897-0854
OpenAlex ID:
A5047601459
Somatostatin peptide signaling dampens cortical circuits and promotes exploratory behavior
2023
·
Dakota F. Brockway
, Keith R. Griffith
, et al.
·
Cell Reports
·
42
PDF
Wavelet Entropy-Based Inter-subject Associative Cortical Source Localization for Sensorimotor BCI
2019
·
Simanto Saha
, Md. Shakhawat Hossain
, et al.
·
Frontiers in Neuroinformatics
·
23
PDF
Behavioral and physiological monitoring for awake neurovascular coupling experiments: a how-to guide
2022
·
Qingguang Zhang
, Kevin L. Turner
, et al.
·
Neurophotonics
·
18
PDF
Application of wavelet-based maximum entropy on the mean in channel optimization for BCI
2016
·
Md. Shakhawat Hossain
, Simanto Saha
, et al.
·
5
Type-I nNOS neurons orchestrate cortical neural activity and vasomotion
2025
·
Kevin Turner
, Dakota Brockway
, et al.
·
eLife
·
3
Microwave based Glucose Concentration Determination using Machine Learning
2020
·
Md Shakhawat Hossain
, Yong Zhou
·
IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting (AP-S/URSI)
·
2
Type-I nNOS neurons orchestrate cortical neural activity and vasomotion
2025
·
Kevin L Turner
, Dakota F Brockway
, et al.
·
eLife
·
1
Microwave Glucose Concentration Classification by Machine Learning
2020
·
Md Shakhawat Hossain
, Samir M. Iqbal
, et al.
·
IEEE Texas Symposium on Wireless and Microwave Circuits and Systems (WMCS)
·
1
An Explainable Ensemble Framework for Multi-Level Diabetic Retinopathy Classification
2026
·
Shahriar Uddin Saikat
, Abrar Taher
, et al.
Author response: Type-I nNOS neurons orchestrate cortical neural activity and vasomotion
2025
·
Kevin Turner
, Dakota Brockway
, et al.
Type-I nNOS neurons orchestrate cortical neural activity and vasomotion
2025
·
Kevin L Turner
, Dakota F Brockway
, et al.
·
eLife
Comparison of CNN and Transformer Models for Predicting the Effects of Anti-VEGF Drugs on Ovarian Cancer from Histopathology Images
2025
·
Galib Muhammad Shahriar Himel
, Munim Ahmed
, et al.
·
International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM)
Alcohol consumption drives sex- and region- specific disruption of somatostatin signaling in mice
2025
·
Dakota F. Brockway
, Keith R. Griffith
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
Adolescent alcohol consumption differentially alters sexually-divergent behaviors and infralimbic cortex function in mice
2025
·
Laurel R. Seemiller
, Hayreddin Said Ünsal
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
PDF
0091 Noradrenergic Modulation Controls Cerebral Hemodynamics During Sleep
2025
·
Michael Wenke
, Md Shakhawat Hossain
, et al.
·
SLEEP
PDF
Type-I nNOS neurons orchestrate cortical neural activity and vasomotion
2025
·
Kevin Turner
, Dakota Brockway
, et al.
·
eLife
A Transfer Learning-Based Approach for Brain Tumor Classification with Attention Module
2025
·
Md. Ariful Haque Khan
, Md Shakhawat Hossain
·
International Conference on Electrical, Computer and Communication Engineering
Ensemble of Deep Learning Models to Select Ovarian Cancer Patients for Bevacizumab Monoclonal Therapy
2024
·
Md Sahilur Rahman
, Munim Ahmed
, et al.
·
International Conference on Computer and Information Technology (ICCIT)
Comparative Analysis on Multiclass Brain Tumor Classification Using Deep Learning Architectures
2024
·
Walid Ibn Zinnah Ayon
, Mirza Sabbir Ahmed
, et al.
·
International Conference on Computer and Information Technology (ICCIT)
cMEM-based motor imagery induced cortical source localization for computationally efficient brain computer interface
2017
·
Md Shakhawat Hossain
, Simanto Saha
, et al.
·
IEEE Region Humanitarian Technology Conference
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Works count:
20
Citation count:
95
H-index:
4
I10-index:
3
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