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Mohammadrahim Kazemzadeh
Mohammadrahim Kazemzadeh
PhD of mechanical engineering from University of Auckland
Verified email at aucklanduni.ac.nz
Title
Cited by
Cited by
Year
Deep convolutional neural networks as a unified solution for Raman spectroscopy-based classification in biomedical applications
M Kazemzadeh, CL Hisey, K Zargar-Shoshtari, W Xu, NGR Broderick
Optics Communications 510, 127977, 2022
492022
Space curvature-inspired nanoplasmonic sensor for breast cancer extracellular vesicle fingerprinting and machine learning classification
M Kazemzadeh, CL Hisey, A Artuyants, C Blenkiron, LW Chamley, ...
Biomedical Optics Express 12 (7), 3965-3981, 2021
162021
Label-free classification of bacterial extracellular vesicles by combining nanoplasmonic sensors with machine learning
M Kazemzadeh, CL Hisey, P Dauros-Singorenko, S Swift, ...
IEEE Sensors Journal 22 (2), 1128-1137, 2021
142021
Cascaded deep convolutional neural networks as improved methods of preprocessing raman spectroscopy data
M Kazemzadeh, M Martinez-Calderon, W Xu, LW Chamley, CL Hisey, ...
Analytical Chemistry 94 (37), 12907-12918, 2022
132022
Faster and more accurate time domain electromagnetic simulation using space transformation
M Kazemzadeh, W Xu, NGR Broderick
IEEE Photonics Journal 12 (4), 1-13, 2020
112020
Classification of preeclamptic placental extracellular vesicles using femtosecond laser fabricated nanoplasmonic sensors
M Kazemzadeh, M Martinez-Calderon, SY Paek, MM Lowe, C Aguergaray, ...
ACS sensors 7 (6), 1698-1711, 2022
102022
Novel time-domain electromagnetic simulation using triangular meshes by applying space curvature
MR Kazemzadeh, NGR Broderick, W Xu
IEEE Open Journal of Antennas and Propagation 1, 387-395, 2020
102020
3-D implementation of transformation optics using a tetrahedron-based meshing technique and homogeneous materials
MR Kazemzadeh, A Alighanbari
IEEE Transactions on Antennas and Propagation 65 (7), 3549-3559, 2017
82017
Deep learning as an improved method of preprocessing biomedical Raman spectroscopy data
M Kazemzadeh, C Hisey, MM Calderon, L Chamley, P Xu, N Broderick
Authorea Preprints, 2023
52023
Design and optimization of broadband and transparent SERS based on transformation optics
M Kazemzadeh, N Broderick, W Xu, KZ Shoshtari
SPIE Micro+ Nano Materials, Devices, and Applications 2019 11201, 103-104, 2019
52019
Three-dimensional transformation optics for arbitrary coordinate systems: transforming conductive materials and boundaries
MR Kazemzadeh, A Alighanbari
Optics Express 26 (8), 10462-10475, 2018
42018
Exploiting holographically encoded variance to transmit labelled images through a multimode optical fiber
L Collard, M Kazemzadeh, L Piscopo, M De Vittorio, F Pisanello
Optics Express 32 (11), 18896-18908, 2024
22024
Variation of device topology for material simplification as three‐dimensional transformation optics methodology
MR Kazemzadeh, A Alighanbari
IET Microwaves, Antennas & Propagation 13 (7), 898-903, 2019
12019
A physics informed neural network as a digital twin of scattering media
M Kazemzadeh, L Collard, L Piscopo, M De Vittorio, F Pisanello
Authorea Preprints, 2024
2024
An Autoencoder‐Based Deep‐Learning Method for Augmenting the Sensing Capability of Piezoelectric Microelectromechanical System Sensors in a Fluid‐Dynamic System
M Kazemzadeh, I Mehdipour, M De Vittorio, F Pisanello
Advanced Intelligent Systems 6 (3), 2300457, 2024
2024
Unwrapping Non-Locality in the Image Transmission Through Turbid Media
M Kazemzadeh, L Collard, L Piscopo, F Pisano, C Ciraci, M De Vittorio, ...
Optica Open, 2024
2024
An autoencoder-based deep-learning method for augmenting the sensing capability of piezoelectric MEMS sensors in a fluid-dynamic system
M Kazemzadeh, I Mehdipour, M De Vittorio, F Pisanello
Authorea Preprints, 2023
2023
Manifold Learning Enables Interpretable Analysis of Raman Spectra from Extracellular Vesicle and Other Mixtures
M Kazemzadeh, M Martinez-Calderon, R Otupiri, A Artuyants, MM Lowe, ...
bioRxiv, 2023.03. 20.533481, 2023
2023
Deep Learning and Optimised Nanoplasmonic Sensors for Label-free Biomedical Applications
M Kazemzadeh
PhD Thesis-University of Auckland, 2022
2022
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Articles 1–19