| 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 | 265 | 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 | 256 | 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 | 179 | 2018 |
| 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 | 145* | 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 | 141 | 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 | 74 | 2017 |
| 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 | 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 | 53 | 2015 |
| 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 | 46 | 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 | 30 | 2019 |
| 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), 2022 | 20 | 2022 |
| 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 | 18 | 2019 |
| 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 | 17 | 2019 |
| A Fine-Grained Analysis on Distribution Shift O Wiles, S Gowal, F Stimberg, S Alvise-Rebuffi, I Ktena, T Cemgil arXiv preprint arXiv:2110.11328, 2021 | 15 | 2021 |
| Deep Bayesian Bandits: Exploring in Online Personalized Recommendations D Guo, SI Ktena, PK Myana, F Huszar, W Shi, A Tejani, M Kneier, S Das Fourteenth ACM Conference on Recommender Systems, 456-461, 2020 | 15 | 2020 |
| Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline L Belli, SI Ktena, A Tejani, A Lung-Yut-Fon, F Portman, X Zhu, Y Xie, ... arXiv preprint arXiv:2004.13715, 2020 | 13 | 2020 |
| A flexible graphical model for multi-modal parcellation of the cortex S Parisot, B Glocker, SI Ktena, S Arslan, MD Schirmer, D Rueckert Neuroimage 162, 226-248, 2017 | 12 | 2017 |
| 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, ... Fourteenth ACM Conference on Recommender Systems, 521-526, 2020 | 11 | 2020 |
| 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 | 10 | 2021 |
| Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline L Belli, SI Ktena, A Tejani, A Lung-Yut-Fon, F Portman, X Zhu, Y Xie, ... arXiv preprint arXiv:2004.13715, 2020 | 10 | 2020 |
Daniel RueckertTechnical University of Munich and Imperial College LondonVerified email at tum.de
