| Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease S Parisot, SI Ktena, E Ferrante, M Lee, R Guerrero, B Glocker, D Rueckert Medical image analysis 48, 117-130, 2018 | 565 | 2018 |
| Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex S Arslan, SI Ktena, A Makropoulos, EC Robinson, D Rueckert, S Parisot Neuroimage 170, 5-30, 2018 | 365 | 2018 |
| Metric learning with spectral graph convolutions on brain connectivity networks SI Ktena, S Parisot, E Ferrante, M Rajchl, M Lee, B Glocker, D Rueckert NeuroImage 169, 431-442, 2018 | 330 | 2018 |
| Algorithmic amplification of politics on Twitter F Huszár, SI Ktena, C O’Brien, L Belli, A Schlaikjer, M Hardt Proceedings of the National Academy of Sciences 119 (1), e2025334119, 2022 | 275 | 2022 |
| Solving Mixed Integer Programs Using Neural Networks V Nair, S Bartunov, F Gimeno, I von Glehn, P Lichocki, I Lobov, ... arXiv preprint arXiv:2012.13349, 2020 | 253 | 2020 |
| Spectral Graph Convolutions on Population Graphs for Disease Prediction S Parisot, SI Ktena, E Ferrante, M Lee, RG Moreno, B Glocker, D Rueckert International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 249* | 2017 |
| Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks SI Ktena, S Parisot, E Ferrante, M Rajchl, M Lee, B Glocker, D Rueckert International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 210 | 2017 |
| A Fine-Grained Analysis on Distribution Shift O Wiles, S Gowal, F Stimberg, S Alvise-Rebuffi, I Ktena, T Cemgil International Conference on Learning Representations (ICLR), 2022 | 202 | 2022 |
| Towards Generalist Biomedical AI T Tu, S Azizi, D Driess, M Schaekermann, M Amin, PC Chang, A Carroll, ... arXiv preprint arXiv:2307.14334, 2023 | 155 | 2023 |
| DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images N Pawlowski, SI Ktena, MCH Lee, B Kainz, D Rueckert, B Glocker, ... Medical Imaging Meets NIPS 2017, 2017 | 91 | 2017 |
| Graph saliency maps through spectral convolutional networks: Application to sex classification with brain connectivity S Arslan, SI Ktena, B Glocker, D Rueckert Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non …, 2018 | 74 | 2018 |
| Addressing delayed feedback for continuous training with neural networks in CTR prediction SI Ktena, A Tejani, L Theis, PK Myana, D Dilipkumar, F Huszár, S Yoo, ... Proceedings of the 13th ACM Conference on Recommender Systems, 187-195, 2019 | 62 | 2019 |
| A virtual reality platform for safe evaluation and training of natural gaze-based wheelchair driving SI Ktena, W Abbott, AA Faisal 7th International IEEE/EMBS Conference on Neural Engineering (NER), 236-239, 2015 | 58 | 2015 |
| Deep bayesian bandits: Exploring in online personalized recommendations D Guo, SI Ktena, PK Myana, F Huszar, W Shi, A Tejani, M Kneier, S Das Proceedings of the 14th ACM Conference on Recommender Systems, 456-461, 2020 | 46 | 2020 |
| Differentially Private Diffusion Models Generate Useful Synthetic Images S Ghalebikesabi, L Berrada, S Gowal, I Ktena, R Stanforth, J Hayes, S De, ... arXiv preprint arXiv:2302.13861, 2023 | 45 | 2023 |
| Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs N Sonnerat, P Wang, I Ktena, S Bartunov, V Nair arXiv preprint arXiv:2107.10201, 2021 | 44 | 2021 |
| Model size reduction using frequency based double hashing for recommender systems C Zhang, Y Liu, Y Xie, SI Ktena, A Tejani, A Gupta, PK Myana, ... Proceedings of the 14th ACM Conference on Recommender Systems, 521-526, 2020 | 38 | 2020 |
| Brain connectivity measures improve modeling of functional outcome after acute ischemic stroke SI Ktena, M Schirmer, MR Etherton, AK Giese, C Tuozzo, BB Mills, ... Stroke 50 (10), https://doi.org/10.1161/STROKEAHA.119.02, 2019 | 27 | 2019 |
| Rich-Club organization: an important determinant of functional outcome after acute ischemic stroke MD Schirmer, SI Ktena, MJ Nardin, KL Donahue, AK Giese, MR Etherton, ... Frontiers in Neurology, https://doi.org/10.3389/fneur.2019.00956, 2019 | 26 | 2019 |
| Generative models improve fairness of medical classifiers under distribution shifts I Ktena, O Wiles, I Albuquerque, SA Rebuffi, R Tanno, AG Roy, S Azizi, ... Nature Medicine, 1-8, 2024 | 19 | 2024 |
Daniel RueckertTechnical University of Munich and Imperial College Londontum.de üzerinde doğrulanmış e-posta adresine sahip
