| Deep learning nuclei detection in digitized histology images by superpixels S Sornapudi, RJ Stanley, WV Stoecker, H Almubarak, R Long, S Antani, ... Journal of pathology informatics 9 (1), 5, 2018 | 106 | 2018 |
| Region-based automated localization of colonoscopy and wireless capsule endoscopy polyps S Sornapudi, F Meng, S Yi Applied Sciences 9 (12), 2404, 2019 | 75 | 2019 |
| Analyzing inter-reader variability affecting deep ensemble learning for COVID-19 detection in chest radiographs S Rajaraman, S Sornapudi, PO Alderson, LR Folio, SK Antani PloS one 15 (11), e0242301, 2020 | 54 | 2020 |
| EpithNet: Deep regression for epithelium segmentation in cervical histology images S Sornapudi, J Hagerty, RJ Stanley, WV Stoecker, R Long, S Antani, ... Journal of Pathology Informatics 11 (1), 10, 2020 | 22 | 2020 |
| Assessment of an ensemble of machine learning models toward abnormality detection in chest radiographs S Rajaraman, S Sornapudi, M Kohli, S Antani 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 21 | 2019 |
| Comparing deep learning models for multi-cell classification in liquid-based cervical cytology image S Sornapudi, GT Brown, Z Xue, R Long, L Allen, S Antani AMIA Annual Symposium Proceedings 2019, 820, 2019 | 21 | 2019 |
| Automated cervical digitized histology whole-slide image analysis toolbox S Sornapudi, R Addanki, RJ Stanley, WV Stoecker, R Long, R Zuna, ... Journal of Pathology Informatics 12 (1), 26, 2021 | 17 | 2021 |
| Deepcin: Attention-based cervical histology image classification with sequential feature modeling for pathologist-level accuracy S Sornapudi, RJ Stanley, WV Stoecker, R Long, Z Xue, R Zuna, ... Journal of Pathology Informatics 11 (1), 40, 2020 | 17 | 2020 |
| Feature based sequential classifier with attention mechanism S Sornapudi, RJ Stanley, WV Stoecker, R Long, Z Xue, R Zuna, ... arXiv preprint arXiv:2007.11392, 2020 | 7 | 2020 |
| Nuclei segmentation of histology images based on deep learning and color quantization and analysis of real world pill images S Sornapudi Missouri University of Science and Technology, 2017 | 5 | 2017 |
| Interpreting deep ensemble learning through radiologist annotations for COVID-19 detection in chest radiographs S Rajaraman, S Sornapudi, PO Alderson, LR Folio, SK Antani medRxiv, 2020.07. 15.20154385, 2020 | 3 | 2020 |
| Coded by Sudhir Sornapudi TF Matlab | 3 | |
| Self-supervised representation learning for digital agriculture S Sornapudi Authorea Preprints, 2023 | 1 | 2023 |
| Real-world Pill Segmentation based on Superpixel Merge using Region Adjacency Graph. S Sornapudi, RJ Stanley, JR Hagerty, WV Stoecker VISIGRAPP (4: VISAPP), 182-187, 2017 | 1 | 2017 |
| Self-Supervised Backbone Framework for Diverse Agricultural Vision Tasks S Sornapudi, R Singh arXiv preprint arXiv:2403.15248, 2024 | | 2024 |
| Medical Image Learning with Limited and Noisy Data: First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings G Zamzmi, S Antani, U Bagci, MG Linguraru, S Rajaraman, Z Xue Springer Nature, 2022 | | 2022 |
| A Generative Adversarial Network-based Method for High Fidelity Synthetic Data Augmentation SK Jesse Bier, Srinivas Sridharan, Sudhir Sornapudi, Qiao Hu 15th International Conference on Precision Agriculture 2022, 2022 | | 2022 |
| Development of a multi-class deep-learning algorithm capable of diagnosing many histopathologic entities in digital pathology. GT Brown, S Sornapudi, P Fontelo AMIA, 2021 | | 2021 |
| Interpreting Deep Ensemble Learning through Radiologist Annotations for COVID-19 Detection in Chest Radiographs (preprint) S Rajaraman, S Sornapudi, PO Alderson, LR Folio, SK Antani | | 2020 |
| Deep learning for digitized histology image analysis S Sornapudi Missouri University of Science and Technology, 2020 | | 2020 |
Sameer AntaniNational Library of Medicine, National Institutes of HealthVerified email at nih.gov
