End-to-end deep learning for tuning-free non-contrast ultrasound microvessel imaging
Published in 2022 IEEE International Ultrasonics Symposium (IUS), 2022
This paper presents a deep learning-based method using a 2D U-Net to accelerate and generalize microvessel imaging from non-contrast ultrasound by removing tissue clutter more efficiently than traditional SVD approaches.
Recommended citation: Minhaz, Ahmed Tahseen. (2025). “Improved biometric quantification in 3D ultrasound biomicroscopy via generative adversarial networks-based image enhancement.” J Digit Imaging. Inform. med.. 1-12.
Recommended citation: Minhaz, Ahmed Tahseen. (2025). "Improved biometric quantification in 3D ultrasound biomicroscopy via generative adversarial networks-based image enhancement." J Digit Imaging. Inform. med.. 1-12.
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