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Disambiguation of "Amini, Amir A."

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Reduced-order modeling of 4D flow MRI and CFD in stenotic flow using Proper Orthogonal Decomposition (POD) and Dynamic Mode Decomposition (DMD).

, , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12036 of SPIE Proceedings, SPIE, (2022)

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Naim Amini

Foruhär Amini

Hedayat Amini

Zahra Amini

Samad Amini-Bavil-Olyaee

 

Other publications of authors with the same name

Comparison of Land-Mark-Based and Curve-Based Thin-Plate Warps for Analysis of Left-Ventricular Motion from Tagged MRI., , and . MICCAI, volume 1679 of Lecture Notes in Computer Science, page 498-507. Springer, (1999)An MR compatible aortic arch phantom with calcific polymeric valves., , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10953 of SPIE Proceedings, page 109531L. SPIE, (2019)Snakes and Splines for Tracking Non-Rigid Heart Motion., , and . ECCV (2), volume 1065 of Lecture Notes in Computer Science, page 251-261. Springer, (1996)Integrable Pressure Gradients via Harmonics-Based Orthogonal Projection., and . IPMI, volume 3565 of Lecture Notes in Computer Science, page 431-442. Springer, (2005)Planar deformable motion estimation incorporating mass conservation and image gradient constancy., and . ISBI, page 536-540. IEEE, (2011)Estimation of hemodynamic parameters with deep-learning-based super-resolved 4D flow MRI velocity data., , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12468 of SPIE Proceedings, SPIE, (2023)Noninvasive 3D pressure calculation from PC-MRI via non-iterative harmonics-based orthogonal projection: Constant flow experiment., , , , and . EMBC, page 4390-4393. IEEE, (2013)A 1D encoder-decoder deep network for pressure estimation from 4D flow MRI: in-vitro experiments., , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11600 of SPIE Proceedings, SPIE, (2021)Multiple Instance Learning for Malignant vs. Benign Classification of Lung Nodules in Thoracic Screening Ct Data., , , , and . ISBI, page 1220-1224. IEEE, (2019)3D U-Net for segmentation of pulmonary nodules in volumetric CT scans from multi-annotator truth estimation., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)