| Bullying incidences identification within an immersive environment using HD EEG-based analysis: A Swarm Decomposition and Deep Learning approach V Baltatzis, KM Bintsi, GK Apostolidis, LJ Hadjileontiadis Scientific reports 7 (1), 17292, 2017 | 34 | 2017 |
| Is MC dropout bayesian? LL Folgoc, V Baltatzis, S Desai, A Devaraj, S Ellis, OEM Manzanera, ... arXiv preprint arXiv:2110.04286, 2021 | 29 | 2021 |
| Patch-based brain age estimation from MR images KM Bintsi, V Baltatzis, A Kolbeinsson, A Hammers, D Rueckert Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro …, 2020 | 15 | 2020 |
| Using virtual reality for behavioral analysis GP Schinas, IK Chrysovergis, LJ Hadjileontiadis, V Baltatzis, KM Bintsi US Patent 9,965,675, 2018 | 12 | 2018 |
| Voxel-level importance maps for interpretable brain age estimation KM Bintsi, V Baltatzis, A Hammers, D Rueckert Interpretability of Machine Intelligence in Medical Image Computing, and …, 2021 | 10 | 2021 |
| Multimodal brain age estimation using interpretable adaptive population-graph learning KM Bintsi, V Baltatzis, RA Potamias, A Hammers, D Rueckert International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 8 | 2023 |
| Patient-specific 3d cellular automata nodule growth synthesis in lung cancer without the need of external data OEM Manzanera, S Ellis, V Baltatzis, A Nair, L Le Folgoc, S Desai, ... 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 5-9, 2021 | 5 | 2021 |
| The pitfalls of sample selection: a case study on lung nodule classification V Baltatzis, KM Bintsi, LL Folgoc, OE Martinez Manzanera, S Ellis, A Nair, ... Predictive Intelligence in Medicine: 4th International Workshop, PRIME 2021 …, 2021 | 5 | 2021 |
| KGEx: Explaining Knowledge Graph Embeddings via Subgraph Sampling and Knowledge Distillation V Baltatzis, L Costabello Learning on Graphs Conference, 27: 1-27: 13, 2024 | 2 | 2024 |
| A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression KM Bintsi, TT Mueller, S Starck, V Baltatzis, A Hammers, D Rueckert International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| Evaluation of 3D GANs for lung tissue modelling in pulmonary CT S Ellis, OEM Manzanera, V Baltatzis, I Nawaz, A Nair, LL Folgoc, S Desai, ... arXiv preprint arXiv:2208.08184, 2022 | 2 | 2022 |
| Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data LL Folgoc, V Baltatzis, A Alansary, S Desai, A Devaraj, S Ellis, ... arXiv preprint arXiv:2108.00250, 2021 | 1 | 2021 |
| The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data V Baltatzis, L Le Folgoc, S Ellis, OEM Manzanera, KM Bintsi, A Nair, ... Interpretability of Machine Intelligence in Medical Image Computing, and …, 2021 | 1 | 2021 |
| Neural Sign Actors: A diffusion model for 3D sign language production from text V Baltatzis, RA Potamias, E Ververas, G Sun, J Deng, S Zafeiriou arXiv preprint arXiv:2312.02702, 2023 | | 2023 |
| Deep Learning for Lung Cancer Detection: An Analysis of the Effects of Imperfect Data and Model Biases V Baltatzis King’s College London, 2023 | | 2023 |
| Bayesian Sampling Bias Correction: Training with the Right Loss Function LL Folgoc, V Baltatzis, A Alansary, S Desai, A Devaraj, S Ellis, ... arXiv preprint arXiv:2006.13798, 2020 | | 2020 |
| Supplementary Information Bullying incidences identification within an immersive environment using HD EEG-based analysis: A Swarm Decomposition and Deep Learning approach V Baltatzis, KM Bintsi, GK Apostolidis, LJ Hadjileontiadis | | |
