Research & Publications

I pursue research in the areas of in the areas of artificial intelligence, complex network analysis and neuroimaging.

  • Gupta, S., Marcus, L., and Rajapakse, Jagath C. Decoding task-related brain functional modulations using deep learning. Human Brain Mapping (2022)

  • Gupta, S.*, Yi Hao Chan*, Jagath C. Rajapakse. Obtaining leaner DNN for decoding brain functional connectome in a single shot, Neurocomputing (2021). *Equal Contribution

  • Gupta, S., and Rajapakse, Jagath C. Iterative consensus spectral clustering improves detection of subject and group level brain functional modules. Nature: Scientific Reports (2020).

  • Gupta, S., Rajapakse, Jagath C. and Welsch, Roy E. Ambivert degree improves identification of brain functional hubs and detection of AD and ASD. NeuroImage: Clinical (2020).

  • Singh, S. P., Wang, L., Gupta, S., Goli, H., Padmanabhan, P., & Gulyás, B. (2020). 3D Deep Learning on Medical Images: A Review. Sensors, 20(18), 5097.

  • Singh, S. P., Wang, L., Gupta, S., Gulyás, B., & Padmanabhan, P. (2020). Shallow 3D CNN for detecting acute brain hemorrhage from medical imaging sensors. IEEE Sensors Journal.

  • Chan, Y. H., Gupta, S., Kasun, L. C., & Rajapakse, J. C. (2020). Decoding Task States by Spotting Salient Patterns at Time Points and Brain Regions. In Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology (pp. 88-97). Springer, Cham.

  • Singh, S. P., Sharma, M. K., Lay-Ekuakille, A., Gangwar, D., & Gupta, S. (2020). Deep ConvLSTM with self-attention for human activity decoding using wearable sensors. IEEE Sensors Journal.

  • Gupta, S., Chan, Y. H. , and Rajapakse, Jagath C. Decoding brain functional connectivity implicated in AD and MCI. Proceedings of the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, 2019.

  • Gupta, S., and Rajapakse, J. C. (2018, April). Nodal degree distributions of resting-state functional brain modules. In 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) (pp. 1256-1259).

  • Rajapakse, J. C., Gupta, S., and Sui, X. (2017, April). Fitting networks models for functional brain connectivity. In 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) (pp. 515-519).

  • Gupta, S., Puzis, R., & Kilimnik, K. (2016). Comparative Network Analysis Using KronFit. In Complex Networks VII (pp. 363-375). Springer, Cham.

  • Singh, R. R., Goel, K., Iyengar, S. R. S., and Gupta, S. (2015). A Faster Algorithm to Update Betweenness Centrality After Node Alteration. Internet Mathematics, 11(4-5), 403-420.