Search Results - "Karacsony, Tamas"

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  1. 1

    Deep learning methods for single camera based clinical in-bed movement action recognition by Karácsony, Tamás, Jeni, László Attila, De la Torre, Fernando, Cunha, João Paulo Silva

    Published in Image and vision computing (01-03-2024)
    “…Many clinical applications involve in-bed patient activity monitoring, from intensive care and neuro-critical infirmary, to semiology-based epileptic seizure…”
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    Journal Article
  2. 2

    BlanketSet - A Clinical Real-World In-Bed Action Recognition and Qualitative Semi-Synchronised Motion Capture Dataset by Carmona, Joao, Karacsony, Tamas, Cunha, Joao Paulo Silva

    “…Clinical in-bed video-based human motion analysis is a very relevant computer vision topic for several relevant biomedical applications. Nevertheless, the main…”
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    Conference Proceeding
  3. 3

    BlanketGen - A Synthetic Blanket Occlusion Augmentation Pipeline for Motion Capture Datasets by Carmona, Joao, Karacsony, Tamas, Cunha, Joao Paulo Silva

    “…Human motion analysis has seen drastic improvements recently, however, due to the lack of representative datasets, for clinical in-bed scenarios it is still…”
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    Conference Proceeding
  4. 4

    DeepEpil: Towards an Epileptologist-Friendly AI Enabled Seizure Classification Cloud System based on Deep Learning Analysis of 3D videos by Karacsony, Tamas, Loesch-Biffar, Anna Mira, Vollmar, Christian, Noachtar, Soheyl, Cunha, Joao Paulo Silva

    “…Epilepsy is a major neurological disorder affecting approximately 1% of the world population, where seizure semiology is an essential tool for clinical…”
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    Conference Proceeding
  5. 5

    Novel 3D video action recognition deep learning approach for near real time epileptic seizure classification by Karácsony, Tamás, Loesch-Biffar, Anna Mira, Vollmar, Christian, Rémi, Jan, Noachtar, Soheyl, Cunha, João Paulo Silva

    Published in Scientific reports (15-11-2022)
    “…Seizure semiology is a well-established method to classify epileptic seizure types, but requires a significant amount of resources as long-term Video-EEG…”
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    Journal Article
  6. 6

    A Deep Learning Architecture for Epileptic Seizure Classification Based on Object and Action Recognition by Karacsony, Tamas, Loesch-Biffar, Anna Mira, Vollmar, Christian, Noachtar, Soheyl, Cunha, Joao Paulo Silva

    “…Epilepsy affects approximately 1% of the world's population. Semi-ology of epileptic seizures contain major clinical signs to classify epilepsy syndromes…”
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    Conference Proceeding
  7. 7

    Brain Anterior Nucleus of the Thalamus Signal as a Biomarker of Upper Voluntary Repetitive Movements in Epilepsy Patients by Lopes, Elodie M., Pimentel, Madalena, Karacsony, Tamas, Rego, Ricardo, Cunha, Joao P. S.

    “…The Deep Brain Stimulation of the Anterior Nucleus of the Thalamus (ANT-DBS) is an effective treatment for refractory epilepsy. In order to assess the…”
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    Conference Proceeding
  8. 8

    BlanketSet -- A clinical real-world in-bed action recognition and qualitative semi-synchronised MoCap dataset by Carmona, João, Karácsony, Tamás, Cunha, João Paulo Silva

    Published 19-03-2023
    “…2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG), Porto, Portugal, 2023, pp. 116-119 Clinical in-bed video-based human motion analysis is a very…”
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    Journal Article
  9. 9

    BlanketGen - A synthetic blanket occlusion augmentation pipeline for MoCap datasets by Carmona, João, Karácsony, Tamás, Cunha, João Paulo Silva

    Published 19-03-2023
    “…2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG), Porto, Portugal, 2023, pp. 112-115 Human motion analysis has seen drastic improvements recently,…”
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    Journal Article