I have a background in electronics engineering and artificial intelligence, with a professional interest in signal processing, imaging systems, physics, computer vision, and deep learning. More recently, this interest was drawn towards the problems in medical image analysis, synthesis, and reconstruction.
Following is an overview of (a selection of) my projects and publications. For a complete list, visit my Google Scholar or LinkedIn.
Publications
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Rao et al., A Plug-and-Play Method for Guided Multi-contrast MRI Reconstruction based on Content/Style Modeling, [arXiv preprint 2024]
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Rao, Pai et al., Oropharyngeal Tumour Segmentation using Ensemble 3D PET-CT Fusion Networks for the HECKTOR Challenge, [Springer LNCS 2021]
Other Research Projects
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Master thesis (2021): Predicting Tumor Hypoxia Maps from FDG-PET/CT Images using GANs
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Bachelor thesis (2018): Adaptive Resonance Theory (ART) based Neural Computational Models for Image Clustering and Classification