
BBEER
@BBEER_lab
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Brno Brain Electrophysiology Engineering and Research group - Computational Neuroscience lab at ISI Brno and BME-neuro lab at ICRC, St. Anne's Hospital
Brno, Czech Republic
Joined April 2023
🚨 New publication alert! 🚨. Our latest results show that vigilance state is the strongest driver of interictal biomarker variability—outweighing other confounders for biomarker rates, spatial patterns, and EZ localization.
[Epilepsy] Travnicek et al.: "Vigilance state is the most significant determinant of interictal biomarker variability, and exceeds the impact of all other confounding factors regarding biomarker rates, distribution, and epileptogenic zone localization."
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RT @BBEER_lab: 📢 Excited to share that Petr Klimeš will be speaking at #ICTALS2025 in Montreal this Wednesday!. 🧠 His talk will focus on ma….
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📢 Excited to share that Petr Klimeš will be speaking at #ICTALS2025 in Montreal this Wednesday!. 🧠 His talk will focus on machine learning approaches to intracranial EEG (iEEG) for outcome prediction in epilepsy surgery. #Epilepsy #iEEG #MachineLearning
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Congrats Tamir! 🥳👍.
Congratulations Dr. Avigdor on his successful PhD defense! 🎓📜 Best wishes for your future endeavors! @avigdortamir
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RT @AnphyLab: Rise and shine! 🌞 @avigdortamir's latest work in Advanced Science sheds light on how the human #brain wakes up in the morning….
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Get ready to party like it’s 1999 Hz at #AES2024! 🎉🧠 Don’t miss our poster, “Unraveling the Dance of High-frequency Oscillation in Epileptic Human Brain Slices” 🔬✨ Poster #1.050, displayed this Saturday. Let’s talk HFOs and epilepsy! #Epilepsy #Neuroscience @MartinaKolajova.
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Excited to share our research at #AES2024! 🎉 Visit our poster, "Impact of epileptogenic zone resection size on seizure-free outcomes in epilepsy surgery: insights from machine learning" 🧠✨ Poster #2.570, displayed this Sunday. Let's discuss! #EpilepsyResearch #Neuroscience
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🚨 New paper alert! 🚨. Our framework provides a comprehensive and reliable method for evaluating ML models in epileptogenic zone localization, enhancing precision and clinical relevance. Advancing AI in epilepsy care! 💡🧠.
[Epilepsy] Hrtonova et al.: "The proposed framework offers a comprehensive and reliable method for evaluating machine learning models in epileptogenic zone localization, improving their precision and clinical relevance.".Open access:
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Deep Layers Forum 2024 Recap Hosted by @AIMT_lab, the event offered tutorials on ML & DL basics with hands-on Python in Colab. Highlights: Aireen’s medical device AI, TESCAN’s AI microscopy, Citymind & Jalud’s sound AI, and atrial fibrillation prediction.
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📢 Don’t miss Petr Klimes' presentation at #EEC2024! Discover how low-frequency features of SEEG are sufficient for accurate localization of the epileptogenic zone (EZ) and predicting post-surgical outcomes. 🧠✨
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RT @EpilepsiaJourn: Key point: High-frequency features do not provide any additional value to the results of standard low-frequency #EEG an….
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Our new publication shows that interictal stereo-EEG features below 45 Hz are sufficient for accurate localization of the epileptogenic zone in epilepsy patients! #epilepsy #Neuroscience.
🚨Low vs. high frequencies, where do you stand?🧐. Check out our publication with @BBEER_lab in @EpilepsiaJourn showing that low frequency activity is sufficient to localize the #epilepticfocus and predict #epilepsysurgery outcomes!🧠. Link here:
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