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Indian Institute of Science Education and Research
Thiruvananthapuram

Dr Raji Susan Mathew
Assistant Professor Grade I (Data Science)
  +91 (0)471 - 2778362
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Journals

  1. Vadaddi Venkatesh, Raji Susan Mathew, and Phaneendra K. Yalavarthy, "SpiNet-QSM: Model-based Deep Learning with Schatten p-norm Regularization for Improved Quantitative Susceptibility Mapping," Magnetic Resonance Materials in Physics, Biology and Medicine (Special Issue on The role of artificial intelligence in MRI/MRS acquisition and reconstruction), 37(3), 411-427 (2024). doi: 10.1007/s10334-024-01158-7.

  2. Naveen Paluru, Raji Susan Mathew, and Phaneendra K. Yalavarthy, "DF-QSM: Data Fidelity based Hybrid Approach for Improved Quantitative Susceptibility Mapping of the Brain," NMR in Biomedicine 37(9), e5163 (2024). doi:10.1002/nbm.5163

  3. Karan R. Gujarati, Lokesh Bathala, Venkatesh Vaddadi, Raji Susan Mathew, and Phaneendra K. Yalavarthy, “Vision Transformer-based Median Nerve Tracking from Wrist to Elbow in Ultrasonography,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control,71(1), 56-69 (2024), doi: 10.1109/TUFFC.2023.3330539.

  4. Raji Susan Mathew, Naveen Paluru and Phaneendra K. Yalavarthy, “Model Resolution based Deconvolution for Improved Quantitative Susceptibility Mapping,” NMR in Biomedicine, 37(2), (2024), doi: 10.1002/nbm.5055.

  5. Raji Susan Mathew and Joseph Suresh Paul, “Automated Regularization Parameter Selection Using Continuation Based Proximal Method for Compressed Sensing MRI,” IEEE Transactions on Computational Imaging 6, 1309-1319 (2020), doi: 10.1109/TCI.2020.3019111.

  6. Raji Susan Mathew and Joseph Suresh Paul, “Sparsity promoting adaptive regularization for compressed sensing parallel MRI,” IEEE Transactions on Computational Imaging 4(1), 147-159 (2018), doi: 10.1109/TCI.2017.2787911.

  7. Raji Susan Mathew and Joseph Suresh Paul, “A Frequency-Dependent Regularization for Autocalibrating Parallel MRI Using the Generalized Discrepancy Principle,” IEEE Transactions on Computational Imaging 3(4), 891-900 (2017), doi:10.1109/TCI.2017.2707979.

  8. Raji Susan Mathew and Joseph Suresh Paul, “Improving image quality in low snr parallel acquisition using a weighted least squares GRAPPA reconstruction,” Journal of Imaging and Interventional Radiology 8(2), 53-58 (2016) .

 

Conference Proceedings

  1. Raji Susan Mathew and Joseph Suresh Paul, “A Quantitative Comparison of the Role of Parameter Selection for Regularization in GRAPPA-Based Autocalibrating Parallel MRI," CVIP Jabalpur 2018. doi: https://doi.org/10.1007/978-981-32-9088-4_4.
  2. Raji Susan Mathew and Joseph Suresh Paul, “Combination of global and nonlocal sparse regularization priors for MR image reconstruction," TENCON 2019. doi: 10.1109/TENCON.2019.8929693
  3. Raji Susan Mathew and Joseph Suresh Paul, “Adaptive Fast Composite Splitting Algorithm for MR Image Reconstruction," MISP Allahabad 2019. doi: https://doi.org/10.1007/978-981-15-1366-4_13

Books and Book Chapters

  1. Joseph Suresh Paul and Raji Susan Mathew, “Regularized Image Reconstruction in Parallel MRI with MATLAB," CRC Press, (2019). doi:https://doi.org/10.1201/9781351029261
  2. Joseph Suresh Paul, Raji Susan Mathew and M S Renjith, “Theory of parallel MRI and Cartesian SENSE reconstruction: Highlight," In Medical Imaging in Clinical Applications, pp. 311-328, Springer, Cham. (2016). doi: https://doi.org/10.1007/978-3-319-33793-7_14.
  3. Raji Susan Mathew *, Naveen Paluru* and Phaneendra K. Yalavarthy, “Artificial Intelligence in Healthcare - India Case Study," In Biotechnology in India - Reworking A Strategy, Springer Nature.} [* Equal contribution], doi: https://doi.org/10.1007/978-981-97-0896-3_8.