| Predict Alzheimer’s disease using hippocampus MRI data: a lightweight 3D deep convolutional network model with visual and global shape representations S Katabathula, Q Wang, R Xu Alzheimer's Research & Therapy 13 (1), 104, 2021 | 71 | 2021 |
| Bridging Feature Selection and Extraction: Compound Feature Generation CA Sreevani, Murthy IEEE Transactions on Knowledge and Data Engineering 29, 757-770, 2017 | 43* | 2017 |
| Comorbidity‐driven multi‐modal subtype analysis in mild cognitive impairment of Alzheimer's disease S Katabathula, PB Davis, R Xu Alzheimer's & Dementia 19 (4), 1428-1439, 2023 | 16 | 2023 |
| Generation of compound features based on feature interaction for classification SCAMB Chanda Expert Systems with Applications 108 (0957-4174), 61-73, 2018 | 11 | 2018 |
| On bandwidth selection using minimal spanning tree for kernel density estimation SCA Murthy Computational Statistics & Data Analysis 102 (0167-9473), 67-84, 2016 | 11 | 2016 |
| Sex-specific heterogeneity of mild cognitive impairment identified based on multi-modal data analysis S Katabathula, PB Davis, R Xu Journal of Alzheimer's Disease 91 (1), 233-243, 2023 | 2 | 2023 |
| Bridging feature selection and extraction: Compound feature generation (extended abstract) CA Sreevani and Murthy IEEE 33rd International Conference on Data Engineering (ICDE), 47-48, 2017 | | 2017 |
