| 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 | 152 | 2018 |
| 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 | 97 | 2018 |
| 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 | 85 | 2017 |
| 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 | 81* | 2017 |
| 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 | 78 | 2018 |
| 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 | 48 | 2017 |
| 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 | 39 | 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 | 18 | 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 | 12 | 2019 |
| 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 | 9 | 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 | 7 | 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 | 6 | 2019 |
| 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 | 6 | 2017 |
| Comparison of Brain Networks with Unknown Correspondences SI Ktena, S Parisot, J Passerat-Palmbach, D Rueckert MICCAI Workshop on Brain Analysis using Connectivity Networks (BACON), 2016 …, 2016 | 6 | 2016 |
| Exploring Heritability of Functional Brain Networks with Inexact Graph Matching SI Ktena, S Arslan, S Parisot, D Rueckert IEEE International Symposium on Biomedical Imaging (ISBI), 2017, 2017 | 4 | 2017 |
| Forecasting Sales in a Sugar Factory S Ktena, F Petropoulos, P Koutsoliakos, D Michos, V Assimakopoulos Journal of Knowledge Management, Economics and Information Technology 1 (7 …, 2011 | 2 | 2011 |
| 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 | 1 | 2020 |
| A Topological Graph Kernel for Gender Classification of Functional Brain Networks SI Ktena, D Rueckert 22nd Annual Meeting of the Organization for Human Brain Mapping (OHBM), 2016 | 1 | 2016 |
| 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 | | 2020 |
| RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter’s Home Timeline VW Anelli, A Delić, G Sottocornola, J Smith, N Andrade, L Belli, ... Fourteenth ACM Conference on Recommender Systems, 623-627, 2020 | | 2020 |
Daniel RueckertTechnical University of Munich and Imperial College LondonVerified email at tum.de
