Thibault Marin, Ph.D.
Affiliations: | 2010 | Illinois Institute of Technology, Chicago, IL, United States |
Area:
Electronics and Electrical Engineering, RadiologyGoogle:
"Thibault Marin"Parents
Sign in to add mentorJovan G. Brankov | grad student | 2010 | Illinois Institute of Technology | |
(Cardiac motion in gated spect.) |
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Publications
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Tiss A, Chemli Y, Guehl N, et al. (2024) Effects of List-Mode-Based Intraframe Motion Correction in Dynamic Brain PET Imaging. Ieee Transactions On Radiation and Plasma Medical Sciences. 8: 950-958 |
Tiss A, Marin T, Chemli Y, et al. (2023) Impact of motion correction on [F]-MK6240 tau PET imaging. Physics in Medicine and Biology |
Chemli Y, Tétrault MA, Marin T, et al. (2023) Super-resolution in brain positron emission tomography using a real-time motion capture system. Neuroimage. 272: 120056 |
Djebra Y, Marin T, Han PK, et al. (2022) Manifold Learning via Linear Tangent Space Alignment (LTSA) for Accelerated Dynamic MRI with Sparse Sampling. Ieee Transactions On Medical Imaging |
Marin T, Djebra Y, Han PK, et al. (2020) Motion correction for PET data using subspace-based real-time MR imaging in simultaneous PET/MR. Physics in Medicine and Biology. 65: 235022 |
Zhuo Y, Choi JS, Marin T, et al. (2018) Quantitative analysis of focal adhesion dynamics using photonic resonator outcoupler microscopy (PROM). Light, Science & Applications. 7 |
Zhuo Y, Sun Choi J, Marin T, et al. (2017) Label-free Imaging of Stem Cell Adhesion and Dynamic Tracking of Boundary Evolution Using Photonic Crystal Enhanced Microscopy (PCEM) Microscopy and Microanalysis. 23: 1142-1143 |
Zhuo Y, Choi JS, Marin T, et al. (2016) Quantitative Imaging of Cell Membrane-associated Effective Mass Density Using Photonic Crystal Enhanced Microscopy (PCEM). Progress in Quantum Electronics. 50: 1-18 |
Marin T, Kalayeh MM, Parages FM, et al. (2014) Numerical Surrogates for Human Observers in Myocardial Motion Evaluation From SPECT Images. Ieee Transactions On Medical Imaging. 33: 38-47 |
Kalayeh MM, Marin T, Brankov JG. (2013) Generalization Evaluation of Machine Learning Numerical Observers for Image Quality Assessment. Ieee Transactions On Nuclear Science. 60: 1609-1618 |