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Today at 11am, Zuzana Vasickova will present her work on Shadows of very high-frequency oscillations in routine stereo-EEG. Come and join us for the discussion! #hfonews

Martina Kolajova and Valentina Hrtonova finished their Master studies and officially started their Ph.D. in our team! Congratulations! 👏🥳🚀 Martina Kolajová Valentina Hrtoňová

Bursts of HFO during memory encoding and recall. Poster number 144 now! #FENS

Global and local connectivity hubs for memory encoding on a poster number 525. Come and join us for the discussion #FENS2024

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

Key point: High-frequency features do not provide any additional value to the results of standard low-frequency #EEG analysis. doi.org/10.1111/epi.18… #epilepsy #ilae #HFOs #interictalepileptoformdischarges #machinelearning International League Against Epilepsy @epilepsiajourn Wiley Neuro

We are excited to be at the European Epilepsy Congress in Rome! Join us at Poster #180 to explore our study on comparing a multi-feature machine learning model to single-feature linear regression for epileptogenic zone localization #EEC2024 #IlaeWeb Jan Cimbalnik

Join us at Poster #180 to explore our study on comparing a multi-feature machine learning model to single-feature linear regression for epileptogenic zone localization #eec2024

📢 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. 🧠✨

Deep Layers Forum 2024 Recap Hosted by AIMT, 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. linkedin.com/posts/bbeer-la…

🚨 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! 💡🧠

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

Join us at #AES2024 to explore cutting-edge tech in epilepsy surgery! 🧠✨ Check out our poster, "Graph Neural Networks in Epilepsy Surgery: A Novel Approach for Precise EZ Localization" 🚀 Poster #2.184, displayed this Sunday. Let’s connect! #Epilepsy #AI Valentina Hrtoňová The AnPhy Lab

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 Martina Kolajová

Zap! ⚡ Curious about how brain stimulation can help spot epileptogenic tissue? Swing by our poster, “Evaluating the Impact of Electrical Stimulation on Electrophysiological Biomarkers for Epileptogenic Tissue Localization” Poster 3.292, Monday #AES2024 Zuzana Formánková

Having an amazing time at #AES2024 so far! 🎉 Always a fun time connecting with incredible friends and colleagues! Great science and great company! 🧠💖

Rise and shine! 🌞 tamir avigdor's latest work in Advanced Science sheds light on how the human #brain wakes up in the morning! 🧠⏰ Spoiler: it is all about the high frequencies! Duke Neurology The Neuro Advanced Portfolio News Link: doi.org/10.1002/advs.2…

🚨 New paper out! We present a novel approach for automated epilepsy surgery planning using multimodal features and graph neural networks. Smarter, data-driven decisions for better outcomes. 🧠🔗📊 Read here 👉 academic.oup.com/braincomms/adv…

Congrats Tamir! 🥳👍

📢 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