Jay Pillai

Associate Professor

1992 …2021

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  • 2020

    A Multi-task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients Using Dynamic Functional Connectivity

    Nandakumar, N., D’Souza, N. S., Manzoor, K., Pillai, J. J., Gujar, S. K., Sair, H. I. & Venkataraman, A., 2020, Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology - 3rd International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Proceedings. Kia, S. M., Mohy-ud-Din, H., Abdulkadir, A., Bass, C., Habes, M., Rondina, J. M., Tax, C., Wang, H., Wolfers, T., Rathore, S. & Ingalhalikar, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 34-44 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12449 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2019

    A novel graph neural network to localize eloquent cortex in brain tumor patients from resting-state FMRI connectivity

    Nandakumar, N., Manzoor, K., Pillai, J. J., Gujar, S. K., Sair, H. I. & Venkataraman, A., 2019, Connectomics in NeuroImaging - 3rd International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Proceedings. Schirmer, M. D., Chung, A. W., Venkataraman, A., Rekik, I. & Kim, M. (eds.). Springer, p. 10-20 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11848 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2018

    Defining patient specific functional parcellations in lesional cohorts via markov random fields

    Nandakumar, N., D’Souza, N. S., Craley, J., Manzoor, K., Pillai, J. J., Gujar, S. K., Sair, H. I. & Venkataraman, A., 2018, Connectomics in NeuroImaging - 2nd International Workshop, CNI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Wu, G., Schirmer, M. D., Chung, A. W., Rekik, I. & Munsell, B. (eds.). Springer Verlag, p. 88-98 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11083 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution