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) 2024 (in press).

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, 2024 (in press).

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] (accepted with revision).