Snehlata Shakya

Employment

• Skånes universitetssjukhus Lund Labmedicin Skåne Postdoctoral employee
  2019 - Present
• Indian Institute of Technology Roorkee Postdoctoral fellow
  2018 - 2019
• Indian Institute of Technology Roorkee Research Associate
  2017 - 2018
• Linköping University Institutionen för medicinsk teknik POstdoctoral employee
  2015 - 2017

Education

• Indian Institute of Technology Kanpur PhD
  2007 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (21)

• Thermal imaging based pre-diagnostics tool for Graves’ disease
  Measurement Science and Technology 2024 DOI: 10.1088/1361-6501/ad123a
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• Effect of scattering and electronic noise upon selection of detectors for Gamma Computerized Tomography
  arXiv 2022 DOI: 10.48550/arXiv.2205.12710
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• Point-of-care thermal imaging tool assisting in the development of imaging biomarker as pre-diagnostics of graves' disease
  medRxiv 2022 DOI: 10.1101/2022.07.05.22277045
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• An enhanced multi-fiber reconstruction technique using adaptive gradient directions coupled with MoNCW model in diffusion MRI
  Journal of Magnetic Resonance 2021 DOI: 10.1016/j.jmr.2021.106931
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• Non-invasive multimodal imaging of diabetic retinopathy: A survey on treatment methods and nanotheranostics
  Nanotheranostics 2021 DOI: 10.7150/ntno.56015
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• Comparison of Reconstruction Methods for Multi-compartmental Model in Diffusion Tensor Imaging
  Advances in Intelligent Systems and Computing 2020 DOI: 10.1007/978-981-32-9291-8_36
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• Deep Learning Algorithm for Satellite Imaging Based Cyclone Detection
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2020 DOI: 10.1109/JSTARS.2020.2970253
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• Optimal frequency combination estimation for accurate ultrasound non-destructive testing
  Electronics Letters 2020 DOI: 10.1049/el.2020.1611
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• Characterising and predicting the movement of clouds using fractional-order optical flow
  IET Image Processing 2019 DOI: 10.1049/iet-ipr.2018.6100
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• Adaptive Discretization for Computerized Tomography
  Research in Nondestructive Evaluation 2018 DOI: 10.1080/09349847.2016.1261212
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