MVIC-Net: Multi-view interactive convolutional networks for ECG-based sleep apnea detection with explainable AI. Akter, M., Yousuf, M. A., Ahmed, S., Kaiser, M. S., & Uddin, M. Z. Knowl. Based Syst., 340:115660, 2026.
Paper doi bibtex @article{DBLP:journals/kbs/AkterYAKU26,
author = {Moni Akter and
Mohammad Abu Yousuf and
Sabbir Ahmed and
M. Shamim Kaiser and
Md. Zia Uddin},
title = {MVIC-Net: Multi-view interactive convolutional networks for ECG-based
sleep apnea detection with explainable {AI}},
journal = {Knowl. Based Syst.},
volume = {340},
pages = {115660},
year = {2026},
url = {https://doi.org/10.1016/j.knosys.2026.115660},
doi = {10.1016/J.KNOSYS.2026.115660},
timestamp = {Tue, 31 Mar 2026 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/kbs/AkterYAKU26.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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