• WHERE
    Virtual

    WHEN
    Thursday to Friday
    Aug 19 to 20, 2021

Prof. Phaneendra K Yalavarthy

Professor, Computational and Data Sciences (CDS), IISc Bangalore

Phaneendra Yalavarthy received B.Sc. and M.Sc. degrees in physics from Sri Sathya Sai University, Puttaparthy, India in 1999 and 2001 respectively. He also obtained an M.Sc. degree in Engineering from the Indian Institute of Science, Bangalore, India in 2004. He received a PhD, working as a U.S. Department of Defense Breast Cancer Pre-doctoral Fellow, in biomedical computation from Dartmouth College, Hanover, the USA in 2007. He worked as a post-doctoral research associate in the Department of Radiation Oncology, School of Medicine, Washington University in St. Louis, the USA from 2007-2008. Currently, he is working as a Professor in the Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, India.His research interests include Computational methods in medical imaging, deep learning in medical imaging, medical image processing (reconstruction/analysis), physiological signal processing, diffuse optical imaging, and photoacoustic imaging. He is a senior member of IEEE, OSA, & SPIE and serves as an associate editor of IEEE Transactions on Medical Imaging.

All Sessions by Prof. Phaneendra K Yalavarthy

  • Day 2

    August 20, 2021

  • 11:30  - 12:15
    Light-weight Convolutional Neural Networks (CNNs) are mobile-friendly models that can provide inference without the need for any specialised hardware. These models can be very effective in point-of-care settings, where the detection of disease has to be performed in real-time. The talk will highlight few developments of the Medical Imaging Group (MIG) at the Indian Institute of Science, especially towards COVID19 management and diagnosis. Deployment of these lightweight networks on embedded platforms to show highly versatility as well as prove optimal performance in terms of being accurate will also be highlighted. The developed models having latency in the same order as other lightweight networks without compromising the accuracy will also be shown.
    Advances in AI




Share

Prof. Phaneendra K Yalavarthy