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Ishaan Bhat

ir.

  • Source: Scopus
20212021

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Research profile

I am interested in the areas of generative models, bayesian machine learning and geometric machine learning in the context of dealing with limited data and estimating uncertainty in medical image analysis.

My research is foucsed on investigating the use of deep learning techniques on MRI data to provide treatment options for liver lesions. I am supervised by Dr. Veronika Cheplygina and Prof. dr. Josien Pluim

Academic background

I have been employed as a doctoral candidate at UMC Utrecht and TU Eindhoven since February 2019. Prior to this, I graduated with a master degree in embedded systems from TU Eindhoven in August 2018 and a bachelor degree in electrical engineering from Birla Institute of Technology and Science, Goa, India in 2014.

From 2014-2016 I was employed as a system architect at NVIDIA Graphics in Bangalore, India.

External positions

Doctoral Candidate , University Medical Center Utrecht

28 Feb 201931 Jan 2023

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