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Thitiya Seesan
Thitiya Seesan
Computational Optics Group, University of Tsukuba, Japan
Zweryfikowany adres z optlab2.bk.tsukuba.ac.jp
Tytuł
Cytowane przez
Cytowane przez
Rok
Deep convolutional neural network-based scatterer density and resolution estimators in optical coherence tomography
T Seesan, I Abd El-Sadek, P Mukherjee, L Zhu, K Oikawa, A Miyazawa, ...
Biomedical Optics Express 13 (1), 168-183, 2022
82022
A birefringent phase-matching method in multilayered hyperbolic metamaterials
S Wicharn, S Plaipichit, T Seesan, P Buranasiri
Nonlinear Frequency Generation and Conversion: Materials and Devices XVII …, 2018
82018
Sample and system parameter estimation from local speckle pattern by fully numerically trained deep convolution neural network
T Seesan, D Oida, K Oikawa, P Buranasiri, Y Yasuno
Optical Coherence Tomography and Coherence Domain Optical Methods in …, 2021
12021
Intensity-invariant scatterer density estimation for optical coherence tomography using deep convolutional neural network
T Seesan, D Oida, K Oikawa, P Buranasiri, Y Yasuno
Biomedical Imaging and Sensing Conference 2020 11521, 62-64, 2020
12020
Optical-coherence-tomography-based deep-learning scatterer-density estimator using physically accurate noise model
T Seesan, P Mukherjee, I Abd El-Sadek, Y Lim, L Zhu, S Makita, Y Yasuno
Biomedical Optics Express 15 (5), 2832-2848, 2024
2024
Deep learning-based scatterer density estimation for the analysis of retinal tissue property
T Seesan, S Makita, M Miura, Y Yasuno
Ophthalmic Technologies XXXIV, PC1282411, 2024
2024
Characterizing intracellular activities of dynamic optical coherence tomography: a mathematical modeling approach
Y Feng, S Fujimura, Y Lim, T Seesan, R Morishita, I Abd El-Sadek, ...
Label-free Biomedical Imaging and Sensing (LBIS) 2024, PC128540C, 2024
2024
Mathematical modeling of intracellular and intratissue activities for understanding dynamic optical coherence tomography signals
Y Feng, S Fujimura, Y Lim, T Seesan, R Morishita, I Abd El-Sadek, ...
Optical Coherence Tomography and Coherence Domain Optical Methods in …, 2024
2024
Deep convolutional neural networks-based scatterer density and resolution estimators in optical coherence tomography: erratum
T Seesan, I Abd El-Sadek, P Mukherjee, L Zhu, K Oikawa, A Miyazawa, ...
Biomedical Optics Express 15 (3), 1694-1696, 2024
2024
Measurement signal processing device, measurement signal processing method, and program
Y Yasuno, T Seesan
US Patent App. 17/916,032, 2023
2023
Improving the estimation accuracy of the scatterer density estimation by accounting for the spatial property of the noise in optical coherence tomography
T Seesan, P Mukherjee, I Abd El-Sadek, Y Lim, S Makita, P Buranasiri, ...
Optical Coherence Tomography and Coherence Domain Optical Methods in …, 2023
2023
Quantitative scatterer density estimator to characterize tissue-based phantom in optical coherence tomography
T Seesan, I El-Sadek, P Mukherjee, K Oikawa, P Buranasiri, Y Yasuno
Optical Coherence Tomography and Coherence Domain Optical Methods in …, 2022
2022
Multi-functional optical coherence microscopy for in vitro and ex vivo tissue investigation
Y Yasuno, I Abd El-Sadek, A Miyazawa, LTW Shen, T Seesan, L Zhu, ...
European Conference on Biomedical Optics, EW1C. 3, 2021
2021
Improving qualitative phase imaging using error eliminating assist of two-steps phase shifting method in digital holography system
C Boonsri, T Seesan, P Buranasiri
Quantitative Phase Imaging V 10887, 235-240, 2019
2019
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