Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Nidhal Bouaynaya"'
Autor:
Yassine Barhoumi, Abdul Hamid Fattah, Nidhal Bouaynaya, Fanny Moron, Jinsuh Kim, Hassan M. Fathallah-Shaykh, Rouba A. Chahine, Houman Sotoudeh
Publikováno v:
Diagnostics, Vol 14, Iss 11, p 1066 (2024)
Patients diagnosed with glioblastoma multiforme (GBM) continue to face a dire prognosis. Developing accurate and efficient contouring methods is crucial, as they can significantly advance both clinical practice and research. This study evaluates the
Externí odkaz:
https://doaj.org/article/3904e0d4fa734bbf93b4ca42a3ce952e
Autor:
Ian E. Nielsen, Ravi P. Ramachandran, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Ghulam Rasool
Publikováno v:
IEEE Access, Vol 11, Pp 82556-82569 (2023)
The expansion of explainable artificial intelligence as a field of research has generated numerous methods of visualizing and understanding the black box of a machine learning model. Attribution maps are commonly used to highlight the parts of the in
Externí odkaz:
https://doaj.org/article/4b602330428242a7ae5a6c7c6207a24b
Publikováno v:
Frontiers in Medical Technology, Vol 4 (2022)
Deep neural networks (DNNs) have started to find their role in the modern healthcare system. DNNs are being developed for diagnosis, prognosis, treatment planning, and outcome prediction for various diseases. With the increasing number of application
Externí odkaz:
https://doaj.org/article/04a066502b474ecdb051c5dbe83607b5
Publikováno v:
BioData Mining, Vol 12, Iss 1, Pp 1-14 (2019)
Abstract Background Most existing algorithms for modeling and analyzing molecular networks assume a static or time-invariant network topology. Such view, however, does not render the temporal evolution of the underlying biological process as molecula
Externí odkaz:
https://doaj.org/article/7647d9f110144b7eb314d8a00ab5bcfb
Autor:
Hassan M Fathallah-Shaykh, Andrew DeAtkine, Elizabeth Coffee, Elias Khayat, Asim K Bag, Xiaosi Han, Paula Province Warren, Markus Bredel, John Fiveash, James Markert, Nidhal Bouaynaya, Louis B Nabors
Publikováno v:
PLoS Medicine, Vol 16, Iss 5, p e1002810 (2019)
BackgroundLow-grade gliomas cause significant neurological morbidity by brain invasion. There is no universally accepted objective technique available for detection of enlargement of low-grade gliomas in the clinical setting; subjective evaluation by
Externí odkaz:
https://doaj.org/article/e441b3800dc947889c741a43b9a773a6
Autor:
Rouzbeh Nazari, Husam Alfergani, Francis Haas, Maryam E. Karimi, Md Golam Rabbani Fahad, Samain Sabrin, Jess Everett, Nidhal Bouaynaya, Robert W. Peters
Publikováno v:
Applied Sciences, Vol 10, Iss 19, p 6801 (2020)
Subsurface fires and smoldering events at landfills can present serious health hazards and threats to the environment. These fires are much more costly and difficult to extinguish than open fires at the landfill surface. The initiation of a subsurfac
Externí odkaz:
https://doaj.org/article/b74d6247840643218a7de730323bcd09
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Publikováno v:
IEEE Transactions on Signal Processing. 69:4669-4684
Deep neural networks (DNNs) have surpassed human-level accuracy in various learning tasks. However, unlike humans who have a natural cognitive intuition for probabilities, DNNs cannot express their uncertainty in the output decisions. This limits the
Publikováno v:
2021 IEEE 24th International Conference on Information Fusion (FUSION).
Publikováno v:
Signal Processing. 161:25-35
We formulate the problem of movement identification for the forearm prosthesis using a nonlinear state-space system and the hypothesis of muscle synergies. The synergy activation coefficients contain task-specific information and can be used to ident