Zobrazeno 1 - 10
of 131
pro vyhledávání: '"Tahir, Anas"'
The increasing demand for medical imaging has surpassed the capacity of available radiologists, leading to diagnostic delays and potential misdiagnoses. Artificial intelligence (AI) techniques, particularly in automatic medical report generation (AMR
Externí odkaz:
http://arxiv.org/abs/2408.13988
Autor:
Tahir, Anas Mohammed, Guo, Li, Ward, Rabab K., Yu, Xinhui, Rideout, Andrew, Hore, Michael, Wang, Z. Jane
Publikováno v:
In Computers in Biology and Medicine October 2024 181
Autor:
Kiranyaz, Serkan, Devecioglu, Ozer Can, Ince, Turker, Malik, Junaid, Chowdhury, Muhammad, Hamid, Tahir, Mazhar, Rashid, Khandakar, Amith, Tahir, Anas, Rahman, Tawsifur, Gabbouj, Moncef
Continuous long-term monitoring of electrocardiography (ECG) signals is crucial for the early detection of cardiac abnormalities such as arrhythmia. Non-clinical ECG recordings acquired by Holter and wearable ECG sensors often suffer from severe arti
Externí odkaz:
http://arxiv.org/abs/2202.00589
Autor:
Mahmud, Sakib, Ibtehaz, Nabil, Khandakar, Amith, Tahir, Anas, Rahman, Tawsifur, Islam, Khandaker Reajul, Hossain, Md Shafayet, Rahman, M. Sohel, Islam, Mohammad Tariqul, Chowdhury, Muhammad E. H.
Publikováno v:
Sensors 2022, 22(3), 919
Cardiovascular diseases are the most common causes of death around the world. To detect and treat heart-related diseases, continuous Blood Pressure (BP) monitoring along with many other parameters are required. Several invasive and non-invasive metho
Externí odkaz:
http://arxiv.org/abs/2111.08480
Publikováno v:
In Computers in Biology and Medicine November 2024 182
Autor:
Gabbouj, Moncef, Kiranyaz, Serkan, Malik, Junaid, Zahid, Muhammad Uzair, Ince, Turker, Chowdhury, Muhammad, Khandakar, Amith, Tahir, Anas
Publikováno v:
in IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 11, pp. 9363-9374, Nov. 2023
Although numerous R-peak detectors have been proposed in the literature, their robustness and performance levels may significantly deteriorate in low-quality and noisy signals acquired from mobile electrocardiogram (ECG) sensors, such as Holter monit
Externí odkaz:
http://arxiv.org/abs/2110.02381
Autor:
Mahmud, Sakib, Chowdhury, Muhammad E.H., Kiranyaz, Serkan, Islam Tapotee, Malisha, Saha, Purnata, Tahir, Anas M., Khandakar, Amith, Alqahtani, Abdulrahman
Publikováno v:
In Expert Systems With Applications 15 July 2024 246
Autor:
Mahmud, Sakib, Chowdhury, Muhammad E.H., Kiranyaz, Serkan, Al Emadi, Nasser, Tahir, Anas M., Hossain, Md Shafayet, Khandakar, Amith, Al-Maadeed, Somaya
Publikováno v:
In Engineering Applications of Artificial Intelligence February 2024 128
Autor:
Tahir, Anas M., Chowdhury, Muhammad E. H., Khandakar, Amith, Rahman, Tawsifur, Qiblawey, Yazan, Khurshid, Uzair, Kiranyaz, Serkan, Ibtehaz, Nabil, Rahman, M Shohel, Al-Madeed, Somaya, Hameed, Khaled, Hamid, Tahir, Mahmud, Sakib, Ezeddin, Maymouna
Coronavirus disease 2019 (COVID-19) has been the main agenda of the whole world, since it came into sight in December 2019 as it has significantly affected the world economy and healthcare system. Given the effects of COVID-19 on pulmonary tissues, c
Externí odkaz:
http://arxiv.org/abs/2103.07985
Autor:
Ibtehaz, Nabil, Chowdhury, Muhammad E. H., Khandakar, Amith, Kiranyaz, Serkan, Rahman, M. Sohel, Tahir, Anas, Qiblawey, Yazan, Rahman, Tawsifur
In recent years, physiological signal based authentication has shown great promises,for its inherent robustness against forgery. Electrocardiogram (ECG) signal, being the most widely studied biosignal, has also received the highest level of attention
Externí odkaz:
http://arxiv.org/abs/2102.08026