Raffaella Righetti

Raffaella Righetti, PhD


Houston Methodist


Publications

Non-Invasive Imaging of Mechanical Properties of Cancers in Vivo Based on Transformations of the Eshelby's Tensor Using Compression Elastography
Majumder, S, Islam, MT, Taraballi, F & Righetti, R 2024, , IEEE Transactions on Medical Imaging, vol. 43, no. 8, pp. 3027-3043. https://doi.org/10.1109/TMI.2024.3385644

Enhancing ECG-based heart age: impact of acquisition parameters and generalization strategies for varying signal morphologies and corruptions
Ansari, MY, Qaraqe, M, Righetti, R, Serpedin, E & Qaraqe, K 2024, , Frontiers in cardiovascular medicine, vol. 11, 1424585, pp. 1424585. https://doi.org/10.3389/fcvm.2024.1424585

Predicting stress and interstitial fluid pressure in tumors based on biphasic theory
Dwairy, M, Reddy, JN & Righetti, R 2023, , Computers in Biology and Medicine, vol. 167, 107651. https://doi.org/10.1016/j.compbiomed.2023.107651

Estimating age and gender from electrocardiogram signals: A comprehensive review of the past decade
Ansari, MY, Qaraqe, M, Charafeddine, F, Serpedin, E, Righetti, R & Qaraqe, K 2023, , Artificial Intelligence in Medicine, vol. 146, 102690. https://doi.org/10.1016/j.artmed.2023.102690

Assessment of compression-induced solid stress, fluid pressure and mechanopathological parameters in cancers in vivo using poroelastography
Khan, MDHR, Islam, MT, Taraballi, F & Righetti, R 2023, , Physics in Medicine and Biology, vol. 68, no. 13, 135014. https://doi.org/10.1088/1361-6560/acdf39

Non-invasive imaging of interstitial fluid transport parameters in solid tumors in vivo
Majumder, S, Islam, MT & Righetti, R 2023, , Scientific Reports, vol. 13, no. 1, 7132. https://doi.org/10.1038/s41598-023-33651-9

Unveiling the future of breast cancer assessment: a critical review on generative adversarial networks in elastography ultrasound
Ansari, MY, Qaraqe, M, Righetti, R, Serpedin, E & Qaraqe, K 2023, , Frontiers in Oncology, vol. 13, 1282536. https://doi.org/10.3389/fonc.2023.1282536

Ultrasound estimation of strain time constant and vascular permeability in tumors using a CEEMDAN and linear regression-based method
Khan, MHR & Righetti, R 2022, , Computers in Biology and Medicine, vol. 148, 105707, pp. 105707. https://doi.org/10.1016/j.compbiomed.2022.105707

Estimation of Mechanical and Transport Parameters in Cancers Using Short Time Poroelastography
Majumder, S, Islam, MT & Righetti, R 2022, , IEEE Journal of Translational Engineering in Health and Medicine, vol. 10, 1900411, pp. 1900411. https://doi.org/10.1109/JTEHM.2022.3198316

A CNN-based method to reconstruct 3-D spine surfaces from US images in vivo
Tang, S, Yang, X, Shajudeen, P, Sears, C, Taraballi, F, Weiner, B, Tasciotti, E, Dollahon, D, Park, H & Righetti, R 2021, , Medical Image Analysis, vol. 74, 102221, pp. 102221. https://doi.org/10.1016/j.media.2021.102221

Non-Invasive Assessment of the Spatial and Temporal Distributions of Interstitial Fluid Pressure, Fluid Velocity and Fluid Flow in Cancers in Vivo
Islam, MT, Tang, S, Tasciotti, E & Righetti, R 2021, , IEEE Access, vol. 9, 9455386, pp. 89222-89233. https://doi.org/10.1109/ACCESS.2021.3089454

A Novel Nuclear Material Control Technique for Pebble Fueled Reactors
Chirayath, SS, Gariazzo, CA, Righetti, R & Naraghi, M 2021, , Transactions of the American Nuclear Society, vol. 125, no. 1, pp. 758-761. https://doi.org/10.13182/T125-36924

Identification of ultrasound imaging markers to quantify long bone regeneration in a segmental tibial defect sheep model in vivo
Tang, S, Shajudeen, P, Tasciotti, E & Righetti, R 2020, , Scientific Reports, vol. 10, no. 1, 13646, pp. 13646. https://doi.org/10.1038/s41598-020-70426-y

Modeling and Analysis of Ultrasound Elastographic Axial Strains for Spine Fracture Identification
Shajudeen, P, Tang, S, Chaudhry, A, Kim, N, Reddy, JN, Tasciotti, E & Righetti, R 2020, , IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 67, no. 5, 8918048, pp. 898-909. https://doi.org/10.1109/TUFFC.2019.2956730

Non-invasive imaging of Young’s modulus and Poisson’s ratio in cancers in vivo
Islam, MT, Tang, S, Liverani, C, Saha, S, Tasciotti, E & Righetti, R 2020, , Scientific Reports, vol. 10, no. 1, 7266, pp. 7266. https://doi.org/10.1038/s41598-020-64162-6

Estimation of Vascular Permeability in Irregularly Shaped Cancers Using Ultrasound Poroelastography
Islam, MT, Tasciotti, E & Righetti, R 2020, , IEEE Transactions on Biomedical Engineering, vol. 67, no. 4, 8765377, pp. 1083-1096. https://doi.org/10.1109/TBME.2019.2929134

A Spline Interpolation–based Data Reconstruction Technique for Estimation of Strain Time Constant in Ultrasound Poroelastography
Islam, MT & Righetti, R 2020, , Ultrasonic Imaging, vol. 42, no. 1, pp. 5-14. https://doi.org/10.1177/0161734619895519

Estimation of mechanical parameters in cancers by empirical orthogonal function analysis of poroelastography data
Islam, MT & Righetti, R 2019, , Computers in Biology and Medicine, vol. 111, 103343. https://doi.org/10.1016/j.compbiomed.2019.103343

An analytical poroelastic model of a nonhomogeneous medium under creep compression for ultrasound poroelastography applications - Part i
Islam, MT, Reddy, JN & Righetti, R 2019, , Journal of Biomechanical Engineering, vol. 141, no. 6, 060902. https://doi.org/10.1115/1.4040603

An analytical poroelastic model of a nonhomogeneous medium under creep compression for ultrasound poroelastography applications - Part II
Islam, MT, Reddy, JN & Righetti, R 2019, , Journal of Biomechanical Engineering, vol. 141, no. 6, 060903. https://doi.org/10.1115/1.4040604

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