| 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 | 649 | 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 | 393 | 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 | 381 | 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 | 346 | 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 | 332 | 2023 |
| 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 | 312 | 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 | 283* | 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 | 249 | 2022 |
| 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 | 236 | 2017 |
| 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 | 94 | 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 | 85 | 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 | 72 | 2019 |
| 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 | 68 | 2023 |
| 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 | 64 | 2024 |
| 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 | 61 | 2020 |
| 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 | 61 | 2015 |
| 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 | 55 | 2021 |
| The Ethics of Advanced AI Assistants I Gabriel, A Manzini, G Keeling, LA Hendricks, V Rieser, H Iqbal, ... arXiv preprint arXiv:2404.16244, 2024 | 53 | 2024 |
| 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 | 47 | 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 | 32 | 2019 |
Daniel RueckertTechnical University of Munich and Imperial College LondonVahvistettu sähköpostiosoite verkkotunnuksessa tum.de
