A substitution of convolutional layers by fft layers-a low computational cost version
UF Mohammad, M Almekkawy - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Convolutional Neural Networks (CNNs) have lately gained popularity as a tool for accurately
diagnosing and detecting liver problems. CNNs produced highly promising findings that …
diagnosing and detecting liver problems. CNNs produced highly promising findings that …
Ultrasound super resolution using vision transformer with convolution projection operation
X Liu, M Almekkawy - 2022 IEEE International Ultrasonics …, 2022 - ieeexplore.ieee.org
Ultrasound Localization Microscopy (ULM) refers to a technique using ultra-fast consecutive
frames to create a super resolution image beyond the diffraction limit. As one of general …
frames to create a super resolution image beyond the diffraction limit. As one of general …
Segmentation of breast ultrasound images using densely connected deep convolutional neural network and attention gates
N Thirusangu, M Almekkawy - 2021 IEEE UFFC Latin America …, 2021 - ieeexplore.ieee.org
Ultrasound imagining modality is a popular complementary technique for diagnosing breast
cancer. A standardized reporting process called Breast imaging reporting and data system …
cancer. A standardized reporting process called Breast imaging reporting and data system …
Ultrasound super resolution using deep learning based on attention mechanism
X Liu, M Almekkawy - 2023 IEEE 20th International Symposium …, 2023 - ieeexplore.ieee.org
Ultrasound Localization Microscopy (ULM) has gained a lot of interest as a new imaging
technology capable of achieving subwave diffraction resolution. Currently, it is still …
technology capable of achieving subwave diffraction resolution. Currently, it is still …
A Robust Deep Neural Network Approach for Ultrafast Ultrasound Imaging using Single Angle Plane Wave
M Wasih, M Almekkawy - 2022 IEEE International Ultrasonics …, 2022 - ieeexplore.ieee.org
Recently, deep learning-based methods have been proposed to reconstruct high-quality
images from a single plane wave ultrasound data. A major problem with these methods is …
images from a single plane wave ultrasound data. A major problem with these methods is …
Motion Estimation in Ultrasound Image Sequences: A Deep Learning Approach
S Bharadwaj - 2021 - etda.libraries.psu.edu
Motion estimation in ultrasound images using speckle tracking has been known to be very
beneficial for image-guided radiation therapy. However, the conventional exhaustive search …
beneficial for image-guided radiation therapy. However, the conventional exhaustive search …
Segmentation of Lesions from Breast Ultrasound Images using Deep Convolutional Neural Network
N Thirusangu - 2021 - etda.libraries.psu.edu
To diagnose breast cancer, currently, a radiologist uses a computer-aided diagnosis system
which requires them to preselect a region of interest (ROI) as an input for analysis. Breast …
which requires them to preselect a region of interest (ROI) as an input for analysis. Breast …
[图书][B] Modeling a Clinical Acoustic Information System Using Physics-Informed Machine Learning
S Alkhadhr - 2023 - search.proquest.com
Numerical modeling is one of the most important methods used for understanding and
developing physical systems in different scientific and industrial fields. Particularly in the …
developing physical systems in different scientific and industrial fields. Particularly in the …