“ML in Electromagnetics With Applications to Biomedical Imaging: A Review” has ranked as the 5th most popular IEEE-APM

The #ELEDIAResearchCenter is pleased to announce that the paper “Machine Learning in Electromagnetics With Applications to Biomedical Imaging: A Review” has ranked as the 5th most popular IEEE-APM article of July 2021:

M. Li, R. Guo, K. Zhang, Z. Lin, F. Yang, S. Xu, X. Chen, A. Massa, and A. Abubakar, “Machine learning in electromagnetics with applications to biomedical imaging: A review,” in IEEE Antennas and Propagation Magazine, vol. 63, no. 3, pp. 39-51, June 2021.

The paper can be downloaded at the following link: https://lnkd.in/diJFnt5f


#IEEE#IEEEAPM#mostpopular#machinelearning#ML#electromagnetics#applications#biomedical#imaging#UniTN#ELEDIA#UniTSINGHUA#NationalUniversityofSingapore#SchlumbergerUniversità di TrentoTsinghua University