| Brain computer interface for neuro-rehabilitation with deep learning classification and virtual reality feedback T Karácsony, JP Hansen, HK Iversen, S Puthusserypady Proceedings of the 10th Augmented Human International Conference 2019, 1-8, 2019 | 71 | 2019 |
| A Deep Learning Architecture for Epileptic Seizure Classification Based on Object and Action Recognition T Karácsony, AM Loesch-Biffar, C Vollmar, S Noachtar, JPS Cunha ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 25 | 2020 |
| Novel 3D video action recognition deep learning approach for near real time epileptic seizure classification T Karácsony, AM Loesch-Biffar, C Vollmar, J Rémi, S Noachtar, ... Scientific Reports 12 (1), 19571, 2022 | 18 | 2022 |
| Deepepil: Towards an epileptologist-friendly ai enabled seizure classification cloud system based on deep learning analysis of 3d videos T Karácsony, AM Loesch-Biffar, C Vollmar, S Noachtar, JPS Cunha 2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021 | 11 | 2021 |
| BlanketSet-A Clinical Real-World In-Bed Action Recognition and Qualitative Semi-Synchronised Motion Capture Dataset J Carmona, T Karácsony, JPS Cunha 2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG), 116-119, 2023 | 5 | 2023 |
| BlanketGen-A Synthetic Blanket Occlusion Augmentation Pipeline for Motion Capture Datasets J Carmona, T Karácsony, JPS Cunha 2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG), 112-115, 2023 | 3 | 2023 |
| Deep learning methods for single camera based clinical in-bed movement action recognition T Karácsony, LA Jeni, F De la Torre, JPS Cunha Image and Vision Computing 143, 104928, 2024 | 2 | 2024 |
| Brain Anterior Nucleus of the Thalamus Signal as a Biomarker of Upper Voluntary Repetitive Movements in Epilepsy Patients EM Lopes, M Pimentel, T Karácsony, R Rego, JPS Cunha 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON), 1209-1212, 2024 | | 2024 |
| Publication Submission Form T Karácsony, LA Jeni, F De la Torre, JPS Cunha, H Yu, J Julin, ... Journal Article 143 (104928), 2024 | | 2024 |
| In-bed action recognition for clinical diagnosis support: A two-stage, 3D motion capture and skeleton action recognition based approach T Karácsony, JPS Cunha Book of Abstracts, 12, 2023 | | 2023 |
João Paulo CunhaINESC TEC and Faculty of Engineering of University of PortoE-mail megerősítve itt: fe.up.pt
