| On differentiation between vasogenic edema and non-enhancing tumor in high-grade glioma patients using a support vector machine classifier based upon pre and post-surgery MRI … A Sengupta, S Agarwal, PK Gupta, S Ahlawat, R Patir, RK Gupta, A Singh European journal of radiology 106, 199-208, 2018 | 42 | 2018 |
| Glioma Grading Using a Machine‐Learning Framework Based on Optimized Features Obtained From T1 Perfusion MRI and Volumes of Tumor Components AS Anirban Sengupta,Anandh K. Ramaniharan,Rakesh K Gupta, Sumeet Agarwal Journal of Magnetic Resonance Imaging, 2019 | 41 | 2019 |
| Functional connectivity of white matter as a biomarker of cognitive decline in Alzheimer’s disease Y Gao, A Sengupta, M Li, Z Zu, BP Rogers, AW Anderson, Z Ding, ... Plos one 15 (10), e0240513, 2020 | 35 | 2020 |
| Evaluation of B1 inhomogeneity effect on DCE-MRI data analysis of brain tumor patients at 3T A Sengupta, RK Gupta, A Singh Journal of Translational Medicine 15, 1-13, 2017 | 17 | 2017 |
| Functional networks in non-human primate spinal cord and the effects of injury A Sengupta, A Mishra, F Wang, M Li, PF Yang, LM Chen, JC Gore NeuroImage 240, 118391, 2021 | 9 | 2021 |
| Evaluating effect of B1 field Inhomogeneity on DCE-MRI Data Analysis of Brain Tumor Patients at 3T A Sengupta, R Dadarwal, RK Gupta, A Singh ISMRM, 2017 | 3 | 2017 |
| Detection of resting-state functional connectivity in the lumbar spinal cord with 3T MRI A Combes, L Narisetti, A Sengupta, BP Rogers, G Sweeney, L Prock, ... Scientific Reports 13 (1), 18189, 2023 | 2 | 2023 |
| Longitudinal multiparametric MRI of traumatic spinal cord injury in animal models LM Chen, F Wang, A Mishra, PF Yang, A Sengupta, JL Reed, JC Gore Magnetic Resonance Imaging, 2023 | 1 | 2023 |
| Differentiation of pilocytic astrocytoma from glioblastoma using a machine-learning framework based upon quantitative T1 perfusion MRI N Vats, A Sengupta, RK Gupta, R Patir, S Vaishya, S Ahlawat, J Saini, ... Magnetic Resonance Imaging, 2022 | 1 | 2022 |
| Alterations in intrinsic functional networks in squirrel monkey brain produced by dorsal column lesion of spinal cord using resting state fMRI A Sengupta, A Mishra, F Wang, LM Chen, JC Gore London, England, UK: Proc Int Soc Magn Reson Med, 2022 | 1 | 2022 |
| Detection of resting-state functional connectivity networks in the human lumbar spinal cord at 3T AJE Combes, A Sengupta, BP Rogers, D Houston, L Prock, F Bagnato, ... Proc. Int. Soc. Magn. Reson. Med, 2022 | 1 | 2022 |
| Differentiation of Non-enhancing tumor region from Vasogenic edema in high-grade glioma using a machine learning framework based upon conventional MRI feature A Sengupta, N Vats, S Agarwal, RK Gupta, D Sasi, A Debnath, A Singh | 1 | 2019 |
| Identification of synchronous BOLD signal patterns in white matter of primate spinal cord A Sengupta, A Mishra, F Wang, L Chen, J Gore Research Square, 2023 | | 2023 |
| Detection and characterization of resting state functional networks in squirrel monkey brain A Sengupta, F Wang, A Mishra, JL Reed, LM Chen, JC Gore Cerebral Cortex Communications 4 (3), tgad018, 2023 | | 2023 |
| Combined Effect of Microwave Radiation and Diabetes on the EEG of Rat Brain A Sengupta, SP Singh, S Roy, AK Ray 2020 IEEE 1st International Conference for Convergence in Engineering (ICCE …, 2020 | | 2020 |
| Comparing supervised and unsupervised machine learning frameworks based upon quantitative-MRI features in differentiation between non-enhancing tumor and vasogenic edema of … N Vats, A Sengupta, D Sasi, RK Gupta, RP Chauhan, VK Yadav, ... Proc. Intl. Soc. Mag. Reson. Med 27, 3072, 2019 | | 2019 |
| On Differentiation between Vasogenic Edema and A Sengupta, S Agarwal, P Kumar | | 2018 |
| Quantitative DCE-MRI for segmentation and grading of glioma A Sengupta | | 2018 |
| Evaluation of B A Sengupta, RK Gupta, A Singh | | 2017 |
| A Machine Learning Based Approach for Fast T1 estimation with Improved Accuracy A Sengupta, RK Gupta, S Agarwal, A Singh ISMRM, 2017 | | 2017 |
gore j or gore jcVanderbilt University Medical CenterVerified email at vanderbilt.edu
