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Alexandra-Maria Tautan

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2020 – today

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2024
[c8]
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  - conf/memea/AndreiTI24
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Alexandra-Georgiana Andrei, Alexandra-Maria Tautan, Bogdan Ionescu:
Freezing of Gait detection in Parkinson's Disease: Comparison of Deep Learning Frameworks. MeMeA 2024: 1-6
2022
[c7]
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  - conf/embc/TautanCBMBMAIKS22
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Alexandra-Maria Tautan, Elias P. Casula, Ilaria Borghi, Michele Maiella, Sonia Bonnì, Marilena Minei, Martina Assogna, Bogdan Ionescu, Giacomo Koch, Emiliano Santarnecchi:
Preliminary study on the impact of EEG density on TMS-EEG classification in Alzheimer's disease. EMBC 2022: 394-397
[c6]
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Alexandra-Maria Tautan, Elias P. Casula, Ilaria Borghi, Michele Maiella, Sonia Bonnì, Marilena Minei, Martina Assogna, Bogdan Ionescu, Giacomo Koch, Emiliano Santarnecchi:
Characterizing TMS-EEG perturbation indexes using signal energy: initial study on Alzheimer's Disease classification. EMBC 2022: 398-401
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  - journals/corr/abs-2205-03241
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Alexandra-Maria Tautan, Elias P. Casula, Ilaria Borghi, Michele Maiella, Sonia Bonnì, Marilena Minei, Martina Assogna, Bogdan Ionescu, Giacomo Koch, Emiliano Santarnecchi:
Characterizing TMS-EEG perturbation indexes using signal energy: initial study on Alzheimer's Disease classification. CoRR abs/2205.03241 (2022)
[i1]
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  - journals/corr/abs-2206-07492
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Alexandra-Maria Tautan, Elias P. Casula, Ilaria Borghi, Michele Maiella, Sonia Bonnì, Marilena Minei, Martina Assogna, Bogdan Ionescu, Giacomo Koch, Emiliano Santarnecchi:
Preliminary study on the impact of EEG density on TMS-EEG classification in Alzheimer's disease. CoRR abs/2206.07492 (2022)
2021
[j1]
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  - journals/artmed/TautanIS21
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Alexandra-Maria Tautan, Bogdan Ionescu, Emiliano Santarnecchi:
Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques. Artif. Intell. Medicine 117: 102081 (2021)
2020
[c5]
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  - conf/embc/TautanRFI20
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Alexandra-Maria Tautan, Alessandro C. Rossi, Ruben de Francisco, Bogdan Ionescu:
Automatic Sleep Stage Detection: A Study on the Influence of Various PSG Input Signals. EMBC 2020: 5330-5334

2010 – 2019

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2019
[c4]
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Alexandra-Maria Tautan, Mihai Dogariu, Bogdan Ionescu:
Detection of Epileptic Seizures using Unsupervised Learning Techniques for Feature Extraction. EMBC 2019: 2377-2381
2015
[c3]
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Alexandra-Maria Tautan, Alex Young, Eva Wentink, Fokko Wieringa:
Characterization and reduction of motion artifacts in photoplethysmographic signals from a wrist-worn device. EMBC 2015: 6146-6149
2014
[c2]
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  - conf/biostec/TautanMCGPS14
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Alexandra-Maria Tautan, Vojkan Mihajlovic, Yun-Hsuan Chen, Bernard Grundlehner, Julien Penders, Wouter A. Serdijn:
Signal Quality in Dry Electrode EEG and the Relation to Skin-electrode Contact Impedance Magnitude. BIODEVICES 2014: 12-22
2013
[c1]
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Alexandra-Maria Tautan, Wouter A. Serdijn, Vojkan Mihajlovic, Bernard Grundlehner, Julien Penders:
Framework for evaluating EEG signal quality of dry electrode recordings. BioCAS 2013: 186-189

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