Ishaan Bhat

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

Publications

• Graph convolutional networks for automated intracranial artery labeling
  Vos, Iris N, Ruigrok, Ynte M, Bhat, Ishaan R, Timmins, Kimberley M, Velthuis, Birgitta K, Kuijf, Hugo J Feb 2024 in Journal of Medical Imaging 11 (1),
• Calibration techniques for node classification using graph neural networks on medical image data
  Vos, Iris, Bhat, Ishaan, Velthuis, Birgitta, Ruigrok, Ynte, Kuijf, Hugo apr 2023 in Calibration techniques for node classification using graph neural networks on medical image data: Medical Imaging with Deep Learning. 2023. p. (; vol. )
• Extending Probabilistic U-Net Using MC-Dropout to Quantify Data and Model Uncertainty
  Bhat, Ishaan, Kuijf, Hugo J. 2022 in Extending Probabilistic U-Net Using MC-Dropout to Quantify Data and Model Uncertainty: Brainlesion p. 555-559 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12963 LNCS)
• Generalized Probabilistic U-Net for Medical Image Segementation
  Bhat, Ishaan, Pluim, Josien P.W., Kuijf, Hugo J. 2022 in Generalized Probabilistic U-Net for Medical Image Segementation: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Proceedings p. 113-124 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13563 LNCS)
• Using uncertainty estimation to reduce false positives in liver lesion detection
  Bhat, Ishaan, Kuijf, Hugo J., Cheplygina, Veronika, Pluim, Josien P.W. apr 2021 in Using uncertainty estimation to reduce false positives in liver lesion detection: 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021 p. 663-667 (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April)