| Accelerated MRI using intelligent protocolling and subject-specific denoising applied to Alzheimer's disease imaging KS Ravi, G Nandakumar, N Thomas, M Lim, E Qian, MM Jimeno, P Poojar, ... Frontiers in Neuroimaging 2, 1072759, 2023 | 5 | 2023 |
| Comprehensive End-to-End Workflow for Visceral Adipose Tissue and Subcutaneous Adipose Tissue quantification: Use Case to improve MRI accessibility G Nandakumar, G Srinivasan, H Kim, J Pi 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering …, 2020 | 2 | 2020 |
| Substantiating the effect of DXA variables in the prediction of diabetes mellitus using machine learning R Haridas, G Nandakumar, G Srinivasan, Y Yoo, H Kim, M Punyanitya Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and …, 2021 | 1 | 2021 |
| Image processing to extend effective OCT penetration depth in tissue G Nandakumar, S Maharaj, DE Breen, FU Garcia, MD Zarella Medical Imaging 2018: Digital Pathology 10581, 310-316, 2018 | 1 | 2018 |
| 1254P Retrospective analysis of brain OMX: Diagnostic tool for structural (T1) and functional connectome (RS-FMRI) analysis of brain S Ayyachamy, G Srinivasan, A Perumalla, G Nandakumar, ... Annals of Oncology 34, S728-S729, 2023 | | 2023 |
| 1250P Assessing lung carcinoma: A retrospective study on volume evaluation, consolidation and infiltration using chest OMX S Ayyachamy, G Srinivasan, G Nandakumar, A Perumalla, N Thomas, ... Annals of Oncology 34, S727, 2023 | | 2023 |
| Fully automated CT to x-ray registration of infected lung regions for COVID-19 patient monitoring G Nandakumar, A Trzesiok, N Thomas, AG Mengara, A Perumalla, J Pi, ... Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and …, 2021 | | 2021 |
| Accelerated MRI using intelligent protocolling and subject-specific denoising KS Ravi, G Nandakumar, N Thomas, M Lim, E Qian, MM Jimeno, P Poojar, ... | | |
