| Automated eloquent cortex localization in brain tumor patients using multi-task graph neural networks N Nandakumar, K Manzoor, S Agarwal, JJ Pillai, SK Gujar, HI Sair, ... Medical image analysis 74, 102203, 2021 | 17 | 2021 |
| A novel graph neural network to localize eloquent cortex in brain tumor patients from resting-state fmri connectivity N Nandakumar, K Manzoor, JJ Pillai, SK Gujar, HI Sair, A Venkataraman Connectomics in NeuroImaging: Third International Workshop, CNI 2019, Held …, 2019 | 15 | 2019 |
| DeepEZ: a graph convolutional network for automated epileptogenic zone localization from resting-state fMRI connectivity N Nandakumar, D Hsu, R Ahmed, A Venkataraman IEEE Transactions on Biomedical Engineering 70 (1), 216-227, 2022 | 8 | 2022 |
| A multi-scale spatial and temporal attention network on dynamic connectivity to localize the eloquent cortex in brain tumor patients N Nandakumar, K Manzoor, S Agarwal, JJ Pillai, SK Gujar, HI Sair, ... Information Processing in Medical Imaging: 27th International Conference …, 2021 | 7 | 2021 |
| A multi-task deep learning framework to localize the eloquent cortex in brain tumor patients using dynamic functional connectivity N Nandakumar, NS D’souza, K Manzoor, JJ Pillai, SK Gujar, HI Sair, ... Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro …, 2020 | 7 | 2020 |
| Defining patient specific functional parcellations in lesional cohorts via Markov random fields N Nandakumar, NS D’Souza, J Craley, K Manzoor, JJ Pillai, SK Gujar, ... Connectomics in NeuroImaging: Second International Workshop, CNI 2018, Held …, 2018 | 6 | 2018 |
| Refinenet: An automated framework to generate task and subject-specific brain parcellations for resting-state fmri analysis N Nandakumar, K Manzoor, S Agarwal, HI Sair, A Venkataraman International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 5 | 2022 |
| A Deep Learning Framework to Localize the Epileptogenic Zone from Dynamic Functional Connectivity Using a Combined Graph Convolutional and Transformer Network N Nandakumar, D Hsu, R Ahmed, A Venkataraman 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 1 | 2023 |
| GRAPH BASED DEEP LEARNING MODELS FOR ANALYSIS OF RESTING STATE FMRI WITH APPLICATIONS IN LOCALIZATION AND DYNAMIC FUNCTIONAL CONNECTIVITY N Nandakumar Johns Hopkins University, 2023 | | 2023 |
| A Multi-Task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients using Both Static and Dynamic Functional Connectivity N Nandakumar, NS D'Souza, K Manzoor, J Pillai, S Gujar, S Agarwal, ... MLCN: MICCAI Workshop on Machine Learning for Clinical Neuroimaging, 2020 | | 2020 |
| Estimated Incidence of Ophthalmic Conditions Associated with Optic Nerve Disease in Middle Tennessee S Chaganti, KM Nelson, R Harrigan, KP Nabar, N Nandakumar, T Goecks, ... arXiv preprint arXiv:1712.01481, 2017 | | 2017 |
| A MODIFIED K-MEANS ALGORITHM FOR RESTING STATE FMRI ANALYSIS OF BRAIN TUMOR PATIENTS, AS VALIDATED BY LANGUAGE LOCALIZATION N Nandakumar, NS D’Souza, H Sair, A Venkataraman | | |
