SAYAN KAHALI

Employment

• Asian Institute of Gastroenterology Senior AI Research Scientist
  2025 - Present
• Washington University in St Louis School of Medicine Postdoctoral Research Associate
  2019 - 2022

Education

• Jadavpur University Department of Computer Science and Engineering Ph.D

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Deep learning using a biophysical model for robust and accelerated reconstruction of quantitative, artifact-free and denoised R2* images
  Magnetic Resonance in Medicine 2020 DOI: 10.1002/mrm.28344
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• A new entropy-based approach for fuzzy c-means clustering and its application to brain MR image segmentation
  Soft Computing 2019 DOI: 10.1007/s00500-018-3594-y
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• A new fuzzy clustering algorithm for brain MR image segmentation using Gaussian probabilistic and entropy-based likelihood measures
  Proceedings of the 2018 International Conference On Communication, Computing and Internet of Things, IC3IoT 2018 2019 DOI: 10.1109/IC3IoT.2018.8668139
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• A New Fuzzy Clustering Algorithm Using Uncertainty-based Entropy for Brain MR Image Segmentation
  2018 International Conference on Applied Electromagnetics, Signal Processing and Communication, AESPC 2018 2018 DOI: 10.1109/AESPC44649.2018.9033300
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• A fuzzy clustering algorithm with local contextual information and Gaussian function for simultaneous brain MR image segmentation and intensity inhomogeneity estimation
  Proceedings - 2017 2nd International Conference on Man and Machine Interfacing, MAMI 2017 2018 DOI: 10.1109/MAMI.2017.8307878
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• Convolution of 3D Gaussian surfaces for volumetric intensity inhomogeneity estimation and correction in 3D brain MR image data
  IET Computer Vision 2018 DOI: 10.1049/iet-cvi.2016.0278
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• Local contextual information and Gaussian function induced fuzzy clustering algorithm for brain MR image segmentation and intensity inhomogeneity estimation
  Applied Soft Computing Journal 2018 DOI: 10.1016/j.asoc.2018.04.031
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• 3D MRI brain image segmentation: A two-stage framework
  Communications in Computer and Information Science 2017 DOI: 10.1007/978-981-10-6430-2_25
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• A two-stage fuzzy multi-objective framework for segmentation of 3D MRI brain image data
  Applied Soft Computing Journal 2017 DOI: 10.1016/j.asoc.2017.07.001
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• On estimation of bias field in MRI images
  2015 IEEE International Conference on Computer Graphics, Vision and Information Security, CGVIS 2015 2016 DOI: 10.1109/CGVIS.2015.7449935
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