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Multimedia Tools and Applications gratefully acknowledges the editorial work of the scholars listed below on the special issue entitled “Artificial Intelligence and Deep Learning for Biomedical Applications” (SI 1176).
Of 114 papers submitted, 26 were accepted for this issue after a stringent peer review process.
Corresponding Guest Editor
Pritee Khanna
Indian Institute of Information Technology, Design & Manufacturing, Jabalpur, India
Email: pkhanna@iiitdmj.ac.in
Guest Editors
Mohammad Tanveer
Indian Institute of Technology Indore, India
Email: mtanveer@iiti.ac.in
Mukesh Prasad
University of Technology, Sydney, Australia
Email: mukesh.prasad@uts.edu.au
Chin-Teng Lin
University of Technology, Sydney, Australia
Email: Chin-Teng.Lin@uts.edu.au
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Artificial intelligence and deep learning for biomedical applications. Multimed Tools Appl 81, 13137 (2022). https://doi.org/10.1007/s11042-022-12956-3
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DOI: https://doi.org/10.1007/s11042-022-12956-3