Andrey Kuzmin

I’m a PhD student at the Computer Vision Group supervised by Victor Lempitsky. My research interests include medical ultrasound imaging, low-level computer vision and deep learning. The research on medical ultrasound was performed in collaboration with the Computational Instrumentation Group at MIT which I visited twice as a PhD intern.

“Multi-frame elastography using a handheld force-controlled ultrasound probe”, A. Kuzmin, A. Zakrzewski, B. Anthony, and V. Lempitsky, IEEE Trans. Ultrason. Ferroelectr. Freq. Control 2015
“A single element 3D ultrasound tomography system”, X. Zhang, J. Fincke, A. Kuzmin, V. Lempitsky, and B. Anthony, IEEE Conf. Proc. IEEE Eng. Med. Biol. Soc. 2015
“Fast low-cost single element ultrasound reflectivity tomography using angular distribution analysis”, A. Kuzmin, X. Zhang, J. Fincke, M. Feigin, B. Anthony, and V. Lempitsky, IEEE ISBI’16 (oral)
“End-to-end Learning of Cost-Volume Aggregation for Real-time Dense Stereo”, A.Kuzmin, D.Mikushin, V. Lempitsky, IEEE Machine Learning for Signal Processing, 2017
[paper] [code]
“Internet-Based Image Retrieval Using End-to-End Trained Deep Distributions”, A.Vakhitov, A.Kuzmin, V.Lempitsky, Computer Vision and Image Understanding (CVIU), 2017

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