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European Heart Journal Open
|
June 12, 2024
Assessing pressure wave components for aortic stiffness monitoring through spectral regression learning
Arian Aghilinejad, Morteza Gharib
Proceedings of the National Academy of Sciences of the United States of America
|
February 26, 2025
A spectral machine learning approach to derive central aortic pressure waveforms from a brachial cuff
Alessio Tamborini, Arian Aghilinejad, Morteza Gharib
Biomicrofluidics
|
June 13, 2019
On the transport of particles/cells in high-throughput deterministic lateral displacement devices: Implications for circulating tumor cell separation
Arian Aghilinejad, Mohammad Aghaamoo, Xiaolin Chen
Artificial Intelligence in Medicine
|
June 26, 2024
A new methodology for determining the central pressure waveform from peripheral measurement using Fourier-based machine learning
Arian Aghilinejad, Alessio Tamborini, Morteza Gharib
IEEE Transactions on Bio-Medical Engineering
|
April 5, 2023
Non-Invasive Pressure-Only Aortic Wave Intensity Evaluation Using Hybrid Fourier Decomposition-Machine Learning Approach
Arian Aghilinejad, Heng Wei, Niema M Pahlevan
Plos One
|
November 2, 2019
On the accuracy of displacement-based wave intensity analysis: Effect of vessel wall viscoelasticity and nonlinearity
Jingyi Kang, Arian Aghilinejad, Niema M Pahlevan
Electrophoresis
|
February 12, 2019
On the design of deterministic dielectrophoresis for continuous separation of circulating tumor cells from peripheral blood cells
Mohammad Aghaamoo, Arian Aghilinejad, Xiaolin Chen, et al.
Electrophoresis
|
October 5, 2017
Effects of electrothermal vortices on insulator-based dielectrophoresis for circulating tumor cell separation
Arian Aghilinejad, Mohammad Aghaamoo, Xiaolin Chen, et al.
Physiological Measurement
|
September 14, 2021
Accuracy and applicability of non-invasive evaluation of aortic wave intensity using only pressure waveforms in humans
Arian Aghilinejad, Faisal Amlani, Jing Liu, et al.
JACC. Advances
|
August 23, 2025
Machine Learning Reconstruction of Left Ventricular Pressure From Peripheral Waveforms
Alessio Tamborini, Arian Aghilinejad, Ray V Matthews, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 18) with videos related to
Sort By:
Page
of 2
European Heart Journal Open
|
June 12, 2024
Assessing pressure wave components for aortic stiffness monitoring through spectral regression learning
Arian Aghilinejad, Morteza Gharib
Proceedings of the National Academy of Sciences of the United States of America
|
February 26, 2025
A spectral machine learning approach to derive central aortic pressure waveforms from a brachial cuff
Alessio Tamborini, Arian Aghilinejad, Morteza Gharib
Biomicrofluidics
|
June 13, 2019
On the transport of particles/cells in high-throughput deterministic lateral displacement devices: Implications for circulating tumor cell separation
Arian Aghilinejad, Mohammad Aghaamoo, Xiaolin Chen
Artificial Intelligence in Medicine
|
June 26, 2024
A new methodology for determining the central pressure waveform from peripheral measurement using Fourier-based machine learning
Arian Aghilinejad, Alessio Tamborini, Morteza Gharib
IEEE Transactions on Bio-Medical Engineering
|
April 5, 2023
Non-Invasive Pressure-Only Aortic Wave Intensity Evaluation Using Hybrid Fourier Decomposition-Machine Learning Approach
Arian Aghilinejad, Heng Wei, Niema M Pahlevan
Plos One
|
November 2, 2019
On the accuracy of displacement-based wave intensity analysis: Effect of vessel wall viscoelasticity and nonlinearity
Jingyi Kang, Arian Aghilinejad, Niema M Pahlevan
Electrophoresis
|
February 12, 2019
On the design of deterministic dielectrophoresis for continuous separation of circulating tumor cells from peripheral blood cells
Mohammad Aghaamoo, Arian Aghilinejad, Xiaolin Chen, et al.
Electrophoresis
|
October 5, 2017
Effects of electrothermal vortices on insulator-based dielectrophoresis for circulating tumor cell separation
Arian Aghilinejad, Mohammad Aghaamoo, Xiaolin Chen, et al.
Physiological Measurement
|
September 14, 2021
Accuracy and applicability of non-invasive evaluation of aortic wave intensity using only pressure waveforms in humans
Arian Aghilinejad, Faisal Amlani, Jing Liu, et al.
JACC. Advances
|
August 23, 2025
Machine Learning Reconstruction of Left Ventricular Pressure From Peripheral Waveforms
Alessio Tamborini, Arian Aghilinejad, Ray V Matthews, et al.
Page
of 2