Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Mohammad Wasih"'
A Robust Deep Neural Network Approach for Ultrafast Ultrasound Imaging using Single Angle Plane Wave
Autor:
Mohammad Wasih, Mohamed Almekkawy
Publikováno v:
2022 IEEE International Ultrasonics Symposium (IUS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a141284f80897132555b968a69bbecb
https://doi.org/10.1109/ius54386.2022.9958466
https://doi.org/10.1109/ius54386.2022.9958466
Autor:
Mohammad Wasih, Mohamed Almekkawy
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022
The Siamese Tracker (ST) for tracking objects of interest in Ultrasound (US) images does not incorporate video specific cues and assumes a fixed template of the reference block. Recently, a more advanced version of ST, Correlation Filter Network (CFN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c62140dac537e169eca344aa432f6a2
https://pubmed.ncbi.nlm.nih.gov/36086192
https://pubmed.ncbi.nlm.nih.gov/36086192
Publikováno v:
Ultrasonics. 132:106981
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98fa94eaf147246b6e031ef7f1b2d6eb
https://doi.org/10.1016/j.ultras.2023.106981
https://doi.org/10.1016/j.ultras.2023.106981
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33691f4ecd5e59bae86e30b982f896c8
https://doi.org/10.2139/ssrn.4241716
https://doi.org/10.2139/ssrn.4241716
Autor:
Purushartha Singh, Rebecca J. Passonneau, Mohammad Wasih, Xuesong Cang, ChanMin Kim, Sadhana Puntambekar
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031116438
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5970c31c3d997f8b25c7da4ebf04409a
https://doi.org/10.1007/978-3-031-11644-5_64
https://doi.org/10.1007/978-3-031-11644-5_64
Autor:
Mohammad Wasih, Mohamed Almekkawy
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
Due to their great success in learning a universal object similarity metric, Siamese Trackers have been adopted for motion tracking a Region of Interest (ROI) in Ultrasound (US) image sequences. However, these Fully Convolutional Siamese networks (Si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce2ef8802e713c771c6661d3e278b002
https://pubmed.ncbi.nlm.nih.gov/34892128
https://pubmed.ncbi.nlm.nih.gov/34892128
Autor:
Mohammad Wasih, Mohamed Almekkawy
Publikováno v:
2021 IEEE International Ultrasonics Symposium (IUS).
Siamese neural networks have been used previously for speckle tracking in ultrasound images. Apart from the lack of adaptivity to the specific video sequence, the main problem which Siamese Tracker (ST) suffers from, is the absence to account for any
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4c1343e493950a6731eaadaed846395
https://doi.org/10.1109/ius52206.2021.9593377
https://doi.org/10.1109/ius52206.2021.9593377
Autor:
Mohamed Almekkawy, Mohammad Wasih
Publikováno v:
2021 IEEE International Ultrasonics Symposium (IUS).
We have proposed a novel background motion estimation method to improve the tracking of targets in advanced Siamese networks. One issue with ST is that it does not adapt to video-specific cues. The main problem, however, is that no motion of the obje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6d84b8267cd6c3ded1e537360b94d6f
https://doi.org/10.1109/ius52206.2021.9593660
https://doi.org/10.1109/ius52206.2021.9593660
Publikováno v:
The Journal of the Acoustical Society of America. 149:A114-A114
Convolutional Neural Networks (CNNs) have become recently a very common application of accurate diagnosis and early detection of liver abnormalities. CNN’s have very promising outputs and showed accurate results comparable to classical detection me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82806e0a8911e64b6ce55ed05978e2ed
https://doi.org/10.1121/10.0004689
https://doi.org/10.1121/10.0004689