| Deep learning methods for anatomical landmark detection in video capsule endoscopy images S Adewole, M Yeghyayan, D Hyatt, L Ehsan, J Jablonski, A Copland, ... Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1, 426-434, 2021 | 24 | 2021 |
| Hierarchical deep convolutional neural networks for multi-category diagnosis of gastrointestinal disorders on histopathological images R Sali, S Adewole, L Ehsan, LA Denson, P Kelly, BC Amadi, L Holtz, ... 2020 IEEE International Conference on Healthcare Informatics (ICHI), 1-6, 2020 | 24 | 2020 |
| Ten simple rules for engaging with artificial intelligence in biomedicine A Malik, P Patel, L Ehsan, S Guleria, T Hartka, S Adewole, S Syed PLoS Computational Biology 17 (2), e1008531, 2021 | 19 | 2021 |
| Feature selection using reinforcement learning S Rasoul, S Adewole, A Akakpo arXiv preprint arXiv:2101.09460, 2021 | 15 | 2021 |
| Lesion2Vec: Deep metric learning for few-shot multiple lesions recognition in wireless capsule endoscopy video S Adewole, P Fernandez, M Yeghyayan, J Jablonski, A Copland, M Porter, ... arXiv preprint arXiv:2101.04240, 2021 | 6 | 2021 |
| Data collection methods for building a free response training simulation V Sharma, B Shpringer, SM Yang, M Bolger, S Adewole, D Brown, ... 2019 Systems and Information Engineering Design Symposium (SIEDS), 1-6, 2019 | 6 | 2019 |
| Evaluating the biogas yield and design of a biodigester to generate cooking gas from human faeces OS ISMAIL, OS ADEWOLE Leonardo Electronic Journal of Practices and Technologies 13 (25), 232-241, 2014 | 6 | 2014 |
| Graph convolutional neural network for weakly supervised abnormality localization in long capsule endoscopy videos S Adewole, P Fernandes, J Jablonski, A Copland, M Porter, S Syed, ... 2021 IEEE International Conference on Big Data (Big Data), 388-399, 2021 | 5 | 2021 |
| Lesion2Vec: Deep Metric Learning for Few Shot Multiple Lesions Recognition in Wireless Capsule Endoscopy S Adewole, P Fernandez, J Jablonski, M Yeghyayan, M Porter, A Copland, ... arXiv preprint arXiv:2101.04240, 2021 | 5* | 2021 |
| Feature selection using reinforcement learning R Sali, S Adewole, A Akakpo arXiv, 2021 | 5 | 2021 |
| Dialogue-based simulation for cultural awareness training S Adewole, E Gharavi, B Shpringer, M Bolger, V Sharma, SM Yang, ... arXiv preprint arXiv:2002.00223, 2020 | 5 | 2020 |
| Lesion2Vec: Deep meta learning for few-shot lesion recognition in capsule endoscopy video S Adewole, P Fernandes, J Jablonski, A Copland, M Porter, S Syed, ... Proceedings of the Future Technologies Conference (FTC) 2021, Volume 2, 762-774, 2022 | 4 | 2022 |
| Performance evaluation and environmental impact assessment of systems with waste exergy emissions OS Ismail, OS Adewole IJSER, 2012 | 4 | 2012 |
| Distributed Conditional GAN (discGAN) For Synthetic Healthcare Data Generation D Fuentes, D McSpadden, S Adewole arXiv preprint arXiv:2304.04290, 2023 | 3 | 2023 |
| Unsupervised shot boundary detection for temporal segmentation of long capsule endoscopy videos S Adewole, P Fernandes, J Jablonski, A Copland, M Porter, S Syed, ... arXiv preprint arXiv:2110.09067, 2021 | 2 | 2021 |
| Multi-frame Abnormality Detection in Video Capsule Endoscopy J Jablonski, P Fernandes, S Adewole, S Syed, D Brown, M Porter Proceedings of the Future Technologies Conference (FTC) 2021, Volume 2, 177-186, 2022 | 1 | 2022 |
| Graph Convolution Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos S Adewole, P Fernandes, J Jablonski, A Copland, M Porter, S Syed, ... arXiv preprint arXiv:2110.09110, 2021 | 1 | 2021 |
| The intersection of video capsule endoscopy and artificial intelligence: addressing unique challenges using machine learning S Guleria, B Schwartz, Y Sharma, P Fernandes, J Jablonski, S Adewole, ... ArXiv, 2023 | | 2023 |
| Bayesian Deep Learning With Capsule Endoscopy J Jablonski, P Fernandes, S Adewole, D Brown, S Syed, M Porter | | 2021 |
Donald E. BrownQuantitative Foundation Distinguished Professor of Data Science, University of VirginiaBestätigte E-Mail-Adresse bei virginia.edu