| General-Purpose Deep Point Cloud Feature Extractor M Dominguez, R Dhamdhere, A Petkar, S Jain, S Sah, R Ptucha Applications of Computer Vision (WACV), 2018 IEEE Winter Conference on, 1972 …, 2018 | 47 | 2018 |
| Learning to count grave sites for cemetery observation models with satellite imagery D Lunga, R Dhamdhere, S Walters, L Bragg, N Makkar, M Urban IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 6 | 2020 |
| Deep-learning-based hepatic fat assessment (DeHFt) on non-contrast chest CT and its association with disease severity in COVID-19 infections: A multi-site retrospective study G Modanwal, S Al-Kindi, J Walker, R Dhamdhere, L Yuan, M Ji, C Lu, ... EBioMedicine 85, 2022 | 4 | 2022 |
| Evolution of graph classifiers M Domingue, R Dhamdhere, NDH Kanamarlapudi, S Raghupathi, ... 2019 IEEE Western New York Image and Signal Processing Workshop (WNYISPW), 1-5, 2019 | 2 | 2019 |
| Meta learning for graph neural networks RN Dhamdhere Rochester Institute of Technology, 2018 | 1 | 2018 |
| STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients Using Spatiotemporal Analysis and Transformer-Based Radiomics Models R Dhamdhere, G Modanwal, MHE Makhlouf, N Shafiabadi Hassani, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
| Machine Learning for Identifying Salient Regions on the Coronary Artery on CT for Radiomic Feature Extraction and Characterization of CAD R Dhamdhere, G Modanwal, A Madabhushi, MY Desai, VS Viswanathan Circulation 144 (Suppl_1), A14467-A14467, 2021 | | 2021 |
| Deep learning for philately understanding R Dhamdhere, T Nguyen, L Rausch, R Ptucha 2017 IEEE Western New York Image and Signal Processing Workshop (WNYISPW), 1-5, 2017 | | 2017 |
