Anand Ramkumar
Postdoctoral Researcher in Image Analysis for Fetal Monitoring
- PI group: Prof Antoniya Georgieva
Biography
I am a Biomedical Ultrasound Imaging researcher with over 8 years of experience. I hold a PhD in Biomedical Ultrasound and have 2.5 years of postdoctoral experience after my PhD. My research interests include developing innovative data acquisition and image reconstruction algorithms for medical ultrasound imaging.
During my PhD, I developed a Compressed Sensing-based framework that significantly improved ultrasound imaging systems by reducing the number of active elements while maintaining image quality. My work in this area resulted in publications in high-impact journals and conferences.
In my postdoctoral research at the Institute of Cancer Research, I contributed to the development of 3D ultrasound imaging for radiotherapy. In my current postdoc position at the Wellcome LEAP In-Utero Oxford team led by Prof. Antoniya Georgieva, I am involved in ultrasound imaging for fetal monitoring.
I am passionate about using my research to make a positive impact on the world. I am proud to be part of the Wellcome LEAP In-Utero Oxford team, which is developing novel technology to identify babies at risk of stillbirth.
Recent publications
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Axial super-resolution in ultrasound imaging with application to non-destructive evaluation
Journal article
Shastri SK. et al, (2020), Ultrasonics, 108
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Compressed Sensing Approach for Reducing the Number of Receive Elements in Synthetic Transmit Aperture Imaging.
Journal article
Ramkumar A. and Thittai AK., (2020), IEEE Trans Ultrason Ferroelectr Freq Control, 67, 2012 - 2021
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Compressed Sensing for Data Reduction in Synthetic Aperture Ultrasound Imaging: A Feasibility Study
Conference paper
Anand R. and Thittai AK., (2020), Proceedings - International Symposium on Biomedical Imaging, 2020-April, 304 - 307
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Strategic Undersampling and Recovery Using Compressed Sensing for Enhancing Ultrasound Image Quality.
Journal article
Ramkumar A. and Thittai AK., (2020), IEEE Trans Ultrason Ferroelectr Freq Control, 67, 547 - 556
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Axial Super-Resolution in Ultrasound Imaging
Conference paper
Shastri SK. et al, (2019), IEEE International Ultrasonics Symposium, IUS, 2019-October, 639 - 642