Ishaan Bhat

PHD Candidate - OIO

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Biography

Ishaan Bhat obtained his bachelor degrees in electrical engineering and physics from Birla Institute of Technology and Science, Goa, India in 2014. Following this, he worked at NVIDIA Graphics, Bangalore, India as a system architect until 2016. In 2018, he graduated from TU Eindhoven with a master degree in embedded systems, his graduation thesis dealt with the problem of evaluating deep generative models. In February 2019, he started his PhD position at UMC Utrecht supervised by dr. Hugo Kuijf and Prof. dr. Josien Pluim. His research topic deals with investigating the use of deep learning techniques on MRI data to provide treatment options for liver lesions

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Recent publications

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Influence of learned landmark correspondences on lung CT registration Ishaan Bhat, Hugo J. Kuijf, Max A. Viergever, Josien P.W. Pluim
Medical Physics, 2024, vol. 51, p.5321-5336

Graph convolutional networks for automated intracranial artery labeling Iris N Vos, Ynte M Ruigrok, Ishaan R Bhat, Kimberley M Timmins, Birgitta K Velthuis, Hugo J Kuijf
Journal of Medical Imaging, 2024, vol. 11

Deep learning methods to aid lesion analysis in medical images IR Bhat
2024

Calibration techniques for node classification using graph neural networks on medical image data Iris Vos, Ishaan Bhat, Birgitta Velthuis, Ynte Ruigrok, Hugo Kuijf
2023

Generalized Probabilistic U-Net for Medical Image Segementation Ishaan Bhat, Josien P.W. Pluim, Hugo J. Kuijf
2022, p.113-124

Extending Probabilistic U-Net Using MC-Dropout to Quantify Data and Model Uncertainty Ishaan Bhat, Hugo J. Kuijf
2022, p.555-559