Zobrazeno 1 - 10
of 119
pro vyhledávání: '"M. Tantawi"'
Autor:
J. Muller, M. Alizadeh, L. Li, S. Thalheimer, C. Matias, M. Tantawi, J. Miao, M. Silverman, V. Zhang, G. Yun, V. Romo, F.B. Mohamed, C. Wu
Publikováno v:
NeuroImage: Clinical, Vol 25, Iss , Pp - (2020)
Deep brain stimulation (DBS) for Parkinson's disease (PD) is an established advanced therapy that produces therapeutic effects through high frequency stimulation. Although this therapeutic option leads to improved clinical outcomes, the mechanisms of
Externí odkaz:
https://doaj.org/article/8b9eea6dff6e46739f4aa8b44f281dca
Publikováno v:
International Journal of Sociotechnology and Knowledge Development. 13:50-65
This paper introduces a novel automatic reliable hybrid two-stage method for bone x-rays abnormality detection. For this purpose, 10 different pre-trained convolutional neural networks architectures with different number of layers are examined. The i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85e5766246ac8d399c69c6f49c18609a
https://doi.org/10.4018/ijskd.2021100104
https://doi.org/10.4018/ijskd.2021100104
Publikováno v:
International Journal of Intelligent Computing and Information Sciences. 21:82-95
Computer aided diagnosis (CAD) has a vital role and becomes an urgent demand nowadays. Bone fractures cases are considered from the most frequently occured dieases among individuals. Moreover, the incorrect diagnosis of the bone fractures cases may c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad1e1cd30fb9c81ee289370f88e34e14
https://doi.org/10.21608/ijicis.2021.79392.1101
https://doi.org/10.21608/ijicis.2021.79392.1101
Publikováno v:
International Journal of Service Science, Management, Engineering, and Technology. 12:96-115
Electroencephalogram (EEG) signals are a valuable source of information for detecting epileptic seizures. However, monitoring EEG for long periods of time is very exhausting and time consuming. Thus, detecting epilepsy in EEG signals automatically is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::deb9ec28bb8e1252aacb3602b939aa54
https://doi.org/10.4018/ijssmet.2021050106
https://doi.org/10.4018/ijssmet.2021050106
Publikováno v:
IEEE Access. 9:76649-76661
This paper introduces a novel, reliable, hybrid, two-stage method for bone x-ray classification and abnormality detection. The proposed method considers bones from seven areas of the upper extremities: namely, shoulder, humerus, forearm, elbow, wrist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b5db788d2f9f37288fbb6aed07280f0
https://doi.org/10.1109/access.2021.3081915
https://doi.org/10.1109/access.2021.3081915
Publikováno v:
IEEE Access, Vol 8, Pp 35592-35605 (2020)
Electrocardiograms (ECGs) play a vital role in the clinical diagnosis of heart diseases. An ECG record of the heart signal over time can be used to discover numerous arrhythmias. Our work is based on 15 different classes from the MIT-BIH arrhythmia d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d82504cc41f098d6d4ffce44b464536
https://ieeexplore.ieee.org/document/9000871/
https://ieeexplore.ieee.org/document/9000871/
Publikováno v:
Journal of Vascular and Interventional Radiology. 34:S40
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbb3615baaa9124f585347bf9ab2eb4e
https://doi.org/10.1016/j.jvir.2022.12.129
https://doi.org/10.1016/j.jvir.2022.12.129
Publikováno v:
Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021) ISBN: 9783030763459
AICV
AICV
This paper introduces automatic, reliable bone abnormality detection using Multi-view X-rays. The introduced method considers the seven extremity upper bones: shoulder, humerus, forearm, elbow, wrist, hand, and finger. For this purpose, three differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f50051bc54f4ef10c6003f9708f38c4a
https://doi.org/10.1007/978-3-030-76346-6_5
https://doi.org/10.1007/978-3-030-76346-6_5
Publikováno v:
Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021) ISBN: 9783030763459
AICV
AICV
This paper introduces an automatic reliable bone abnormality detection using two different classification approaches. The introduced method considers the seven extremity upper bones namely shoulder, humerus, forearm, elbow, wrist, hand, and finger. F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b21548a7c91c874befc28d38510f3c8e
https://doi.org/10.1007/978-3-030-76346-6_12
https://doi.org/10.1007/978-3-030-76346-6_12
Autor:
P. Lee, H. Naringrekar, R. Balasubramanya, M. Tantawi, A. Makkena, S. Rodgers, A. Lyshchik, K. Anton, C. Shaw, J. Eisenbrey
Publikováno v:
Journal of Vascular and Interventional Radiology. 33:S209
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::964a3c37aaeabb8f3e0baf2c5ef6d959
https://doi.org/10.1016/j.jvir.2022.03.542
https://doi.org/10.1016/j.jvir.2022.03.542