Khandakar, Amith

Can AI help in screening viral and COVID-19 pneumonia?

Chowdhury, M. E. H., Rahman, T., Khandakar, A., Mazhar, R., Kadir, M. A., Mahbub, Z. B., Islam, K. R., Khan, M. S., Iqbal, A., Emadi, N. A., et al. (2020) · IEEE Access

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 1,913

PPG2ABP: Translating photoplethysmogram (PPG) signals to arterial blood pressure (ABP) waveforms

Ibtehaz, N., Mahmud, S., Chowdhury, M. E. H., Khandakar, A., Salman Khan, M., Ayari, M. A., Tahir, A. M., & Rahman, M. S. (2022) · Bioengineering

Non-Invasive Vital Sign MonitoringCardiovascular Health and Disease Prevention

Cited by 133

Review on medical implantable antenna technology and imminent research challenges

Soliman, M. M., Chowdhury, M. E. H., Khandakar, A., Islam, M. T., Qiblawey, Y., Musharavati, F., & Zal Nezhad, E. (2021) · Sensors

Wireless Body Area NetworksWireless Power Transfer Systems

Cited by 95

A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images

Khandakar, A., Chowdhury, M. E. H., Reaz, M. B. I., Ali, S. H. M., Kiranyaz, S., Rahman, T., Chowdhury, M. H., Ayari, M. A., Alfkey, R., Bakar, A. A. A., et al. (2022) · Sensors

Infrared Thermography in MedicineDiabetic Foot Ulcer Assessment and Management

Cited by 74