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Sampsa Vanhatalo
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2020 – today
- 2024
- [j18]Amirreza Asayesh, Sampsa Vanhatalo, Anton Tokariev:
The impact of EEG electrode density on the mapping of cortical activity networks in infants. NeuroImage 303: 120932 (2024) - [i6]Daniel Holmberg, Manu Airaksinen, Viviana Marchi, Andrea Guzzetta, Anna Kivi, Leena Haataja, Sampsa Vanhatalo, Teemu Roos:
Modeling 3D Infant Kinetics Using Adaptive Graph Convolutional Networks. CoRR abs/2402.14400 (2024) - 2023
- [j17]Mohammad Khazaei, Khadijeh Raeisi, Sampsa Vanhatalo, Filippo Zappasodi, Silvia Comani, Anton Tokariev:
Neonatal cortical activity organizes into transient network states that are affected by vigilance states and brain injury. NeuroImage 279: 120342 (2023) - [j16]Sofie Nilsson, Anton Tokariev, Marjo Metsäranta, Elisabeth Norman, Sampsa Vanhatalo:
A Bedside Method for Measuring Effects of a Sedative Drug on Cerebral Function in Newborn Infants. Sensors 23(1): 444 (2023) - [j15]Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen:
Comparison of End-to-End Neural Network Architectures and Data Augmentation Methods for Automatic Infant Motility Assessment Using Wearable Sensors. Sensors 23(7): 3773 (2023) - [c9]Kartik K. Iyer, James A. Roberts, Michaela Waak, Ajay Kevat, Jasneek Chawla, Leena Lauronen, Sampsa Vanhatalo, Nathan J. Stevenson:
Optimization of time series features to estimate brain age in children from electroencephalography. EMBC 2023: 1-4 - [c8]Nathan J. Stevenson, Kartik K. Iyer, Vito Giordano, Katrin Klebermaß-Schrehof, Sampsa Vanhatalo:
Analysing heart rate variability in preterm infants: the effect of temporal adjustment of NN peaks and missing data. EMBC 2023: 1-4 - [c7]Einari Vaaras, Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen:
Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors. EMBC 2023: 1-6 - [i5]Einari Vaaras, Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen:
Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors. CoRR abs/2305.09366 (2023) - 2022
- [j14]Karoliina T. Tapani, Päivi Nevalainen, Sampsa Vanhatalo, Nathan J. Stevenson:
Validating an SVM-based neonatal seizure detection algorithm for generalizability, non-inferiority and clinical efficacy. Comput. Biol. Medicine 145: 105399 (2022) - [j13]Amirreza Asayesh, Elina Ilén, Marjo Metsäranta, Sampsa Vanhatalo:
Developing Disposable EEG Cap for Infant Recordings at the Neonatal Intensive Care Unit. Sensors 22(20): 7869 (2022) - [i4]Karoliina T. Tapani, Päivi Nevalainen, Sampsa Vanhatalo, Nathan J. Stevenson:
Validating an SVM-based neonatal seizure detection algorithm for generalizability, non-inferiority and clinical efficacy. CoRR abs/2202.12023 (2022) - [i3]Ana Borovac, Steinn Gudmundsson, Gardar Thorvardsson, Saeed M. Moghadam, Päivi Nevalainen, Nathan J. Stevenson, Sampsa Vanhatalo, Thomas Philip Runarsson:
Ensemble learning using individual neonatal data for seizure detection. CoRR abs/2204.07043 (2022) - 2021
- [j12]Lachlan Webb, Minna Kauppila, James A. Roberts, Sampsa Vanhatalo, Nathan J. Stevenson:
Automated detection of artefacts in neonatal EEG with residual neural networks. Comput. Methods Programs Biomed. 208: 106194 (2021) - [i2]Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen:
Comparison of end-to-end neural network architectures and data augmentation methods for automatic infant motility assessment using wearable sensors. CoRR abs/2107.01086 (2021)
2010 – 2019
- 2019
- [j11]Karoliina T. Tapani, Sampsa Vanhatalo, Nathan J. Stevenson:
Time-Varying EEG Correlations Improve Automated Neonatal Seizure Detection. Int. J. Neural Syst. 29(4): 1850030:1-1850030:15 (2019) - [c6]Nathan J. Stevenson, Karoliina T. Tapani, Sampsa Vanhatalo:
Hybrid neonatal EEG seizure detection algorithms achieve the benchmark of visual interpretation of the human expert. EMBC 2019: 5991-5994 - [i1]Manu Airaksinen, Okko Räsänen, Elina Ilén, Taru Häyrinen, Anna Kivi, Viviana Marchi, Anastasia Gallen, Sonja Blom, Anni Varhe, Nico Kaartinen, Leena Haataja, Sampsa Vanhatalo:
Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors. CoRR abs/1909.09823 (2019) - 2017
- [j10]Viljami Sairanen, L. Kuusela, Outi Sipilä, Sauli Savolainen, Sampsa Vanhatalo:
A novel measure of reliability in Diffusion Tensor Imaging after data rejections due to subject motion. NeuroImage 147: 57-65 (2017) - 2015
- [j9]Amir H. Omidvarnia, Marjo Metsäranta, Aulikki Lano, Sampsa Vanhatalo:
Structural damage in early preterm brain changes the electric resting state networks. NeuroImage 120: 266-273 (2015) - [c5]Ninah Koolen, Anneleen Dereymaeker, Okko Johannes Räsänen, Katrien Jansen, Jan Vervisch, Vladimir Matic, Maarten De Vos, Gunnar Naulaers, Sabine Van Huffel, Sampsa Vanhatalo:
Data-driven metric representing the maturation of preterm EEG. EMBC 2015: 1492-1495 - 2014
- [j8]Maryam Odabaee, Anton Tokariev, Siamak Layeghy, Mostefa Mesbah, Paul B. Colditz, Ceon Ramon, Sampsa Vanhatalo:
Neonatal EEG at scalp is focal and implies high skull conductivity in realistic neonatal head models. NeuroImage 96: 73-80 (2014) - [j7]Amir H. Omidvarnia, Ghasem Azemi, Boualem Boashash, John M. O'Toole, Paul B. Colditz, Sampsa Vanhatalo:
Measuring Time-Varying Information Flow in Scalp EEG Signals: Orthogonalized Partial Directed Coherence. IEEE Trans. Biomed. Eng. 61(3): 680-693 (2014) - 2013
- [j6]Maryam Odabaee, Walter J. Freeman, Paul B. Colditz, Ceon Ramon, Sampsa Vanhatalo:
Spatial patterning of the neonatal EEG suggests a need for a high number of electrodes. NeuroImage 68: 229-235 (2013) - [j5]Okko Räsänen, Marjo Metsäranta, Sampsa Vanhatalo:
Development of a novel robust measure for interhemispheric synchrony in the neonatal EEG: Activation Synchrony Index (ASI). NeuroImage 69: 256-266 (2013) - 2012
- [j4]Anton Tokariev, Kirsi Palmu, Aulikki Lano, Marjo Metsäranta, Sampsa Vanhatalo:
Phase synchrony in the early preterm EEG: Development of methods for estimating synchrony in both oscillations and events. NeuroImage 60(2): 1562-1573 (2012) - [c4]Amir H. Omidvarnia, Boualem Boashash, Ghasem Azemi, Paul B. Colditz, Sampsa Vanhatalo:
Generalised phase synchrony within multivariate signals: An emerging concept in time-frequency analysis. ICASSP 2012: 3417-3420 - [c3]Amir H. Omidvarnia, Ghasem Azemi, Boualem Boashash, John M. O'Toole, Paul B. Colditz, Sampsa Vanhatalo:
Orthogonalized Partial Directed Coherence for Functional Connectivity Analysis of Newborn EEG. ICONIP (2) 2012: 683-691 - [c2]Amir H. Omidvarnia, Sampsa Vanhatalo, Mostefa Mesbah, Ghasem Azemi, Paul B. Colditz, Boualem Boashash:
Generalized Mean Phase Coherence for asynchrony abnormality detection in multichannel newborn EEG. ISSPA 2012: 274-279 - [c1]Maryam Odabaee, Siamak Layeghy, Mostefa Mesbah, Ghasem Azemi, Boualem Boashash, Paul B. Colditz, Sampsa Vanhatalo:
EEG amplitude and correlation spatial decay analysis for neonatal head modelling. ISSPA 2012: 882-887
2000 – 2009
- 2007
- [j3]John W. Miller, Wonsuk Kim, Mark D. Holmes, Sampsa Vanhatalo:
Ictal localization by source analysis of infraslow activity in DC-coupled scalp EEG recordings. NeuroImage 35(2): 583-597 (2007) - 2006
- [j2]Walter J. Freeman, Mark D. Holmes, G. Alexander West, Sampsa Vanhatalo:
Dynamics of human neocortex that optimizes its stability and flexibility. Int. J. Intell. Syst. 21(9): 881-901 (2006) - 2003
- [j1]Sampsa Vanhatalo, Juha Voipio, A. Dewaraja, Mark D. Holmes, John W. Miller:
Topography and elimination of slow EEG responses related to tongue movements. NeuroImage 20(2): 1419-1423 (2003)
Coauthor Index
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