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ORCIDMatti S. Hämäläinen
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2020 – today
- 2024
[j43]Eloi Moliner
, Leonardo Fierro, Alec Wright, Matti S. Hämäläinen, Vesa Välimäki:
Noise Morphing for Audio Time Stretching. IEEE Signal Process. Lett. 31: 1144-1148 (2024)- 2023
- [c18]Leonardo Fierro, Alec Wright, Vesa Välimäki, Matti S. Hämäläinen:
Extreme Audio Time Stretching Using Neural Synthesis. ICASSP 2023: 1-5 - [i4]Eloi Moliner, Leonardo Fierro, Alec Wright, Matti S. Hämäläinen, Vesa Välimäki:
Noise Morphing for Audio Time Stretching. CoRR abs/2312.14586 (2023) - 2022
- [i3]Leonardo Fierro, Alec Wright, Vesa Välimäki, Matti S. Hämäläinen:
Extreme Audio Time Stretching Using Neural Synthesis. CoRR abs/2211.16992 (2022) - 2021
- [j42]John G. W. Samuelsson, Noam Peled, Fahimeh Mamashli, Jyrki Ahveninen, Matti S. Hämäläinen:
Spatial fidelity of MEG/EEG source estimates: A general evaluation approach. NeuroImage 224: 117430 (2021) - [j41]Mohammad Daneshzand, Sergey N. Makarov, Lucia I. Navarro de Lara, Bastien Guérin, Jennifer A. McNab, Bruce R. Rosen, Matti S. Hämäläinen, Tommi Raij, Aapo Nummenmaa:
Rapid computation of TMS-induced E-fields using a dipole-based magnetic stimulation profile approach. NeuroImage 237: 118097 (2021) - [j40]Sergey N. Makarov, Matti S. Hämäläinen, Yoshio Okada, Gregory M. Noetscher, Jyrki Ahveninen, Aapo Nummenmaa:
Boundary Element Fast Multipole Method for Enhanced Modeling of Neurophysiological Recordings. IEEE Trans. Biomed. Eng. 68(1): 308-318 (2021) - 2020
- [j39]Mainak Jas, Titipat Achakulvisut, Aid Idrizovic, Daniel E. Acuna, Matthew Antalek, Vinícius Marques, Tommy Odland, Ravi Garg, Mayank Agrawal, Yu Umegaki, Peter Foley, Hugo Fernandes, Drew Harris, Beibin Li, Olivier Pieters, Scott Otterson, Giovanni De Toni, Chris C. Rodgers, Eva L. Dyer, Matti S. Hämäläinen, Konrad P. Körding, Pavan Ramkumar:
Pyglmnet: Python implementation of elastic-net regularized generalized linear models. J. Open Source Softw. 5(47): 1959 (2020) - [j38]Padmavathi Sundaram, Martin Luessi, Marta Bianciardi, Steven M. Stufflebeam, Matti S. Hämäläinen, Victor Solo:
Individual Resting-State Brain Networks Enabled by Massive Multivariate Conditional Mutual Information. IEEE Trans. Medical Imaging 39(6): 1957-1966 (2020)
2010 – 2019
- 2019
- [i2]Christoph Dinh, John G. W. Samuelsson, Alexander Hunold, Matti S. Hämäläinen, Sheraz Khan:
Contextual Minimum-Norm Estimates (CMNE): A Deep Learning Method for Source Estimation in Neuronal Networks. CoRR abs/1909.02636 (2019) - 2018
- [j37]Kunjan D. Rana, Matti S. Hämäläinen, Lucia Maria Vaina:
Improving the Nulling Beamformer Using Subspace Suppression. Frontiers Comput. Neurosci. 12: 35 (2018) - [j36]Sheraz Khan, Javeria Hashmi, Fahimeh Mamashli, Konstantinos P. Michmizos, Manfred G. Kitzbichler, Hari M. Bharadwaj, Yousra Bekhti, Santosh Ganesan, Keri A. Garel, Susan L. Whitfield-Gabrieli, Randy L. Gollub, Jian Kong, Lucia Maria Vaina, Kunjan D. Rana, Steven M. Stufflebeam, Matti S. Hämäläinen, Tal Kenet:
Maturation trajectories of cortical resting-state networks depend on the mediating frequency band. NeuroImage 174: 57-68 (2018) - [j35]Elvira Pirondini, Behtash Babadi, Gabriel Obregon-Henao, Camilo Lamus, Wasim Q. Malik, Matti S. Hämäläinen, Patrick L. Purdon:
Computationally Efficient Algorithms for Sparse, Dynamic Solutions to the EEG Source Localization Problem. IEEE Trans. Biomed. Eng. 65(6): 1359-1372 (2018) - [i1]Sheraz Khan, Javeria Hashmi, Fahimeh Mamashli, Konstantinos P. Michmizos, Manfred G. Kitzbichler, Hari M. Bharadwaj, Yousra Bekhti, Santosh Ganesan, Keri A. Garel, Susan L. Whitfield-Gabrieli, Randy L. Gollub, Jian Kong, Lucia Maria Vaina, Kunjan D. Rana, Steven M. Stufflebeam, Matti S. Hämäläinen, Tal Kenet:
Maturation Trajectories of Cortical Resting-State Networks Depend on the Mediating Frequency Band. CoRR abs/1803.04364 (2018) - 2017
- [j34]Jyrki Ahveninen, Larry J. Seidman, Wei-Tang Chang, Matti S. Hämäläinen, Samantha Huang:
Suppression of irrelevant sounds during auditory working memory. NeuroImage 161: 1-8 (2017) - [c17]Pavitra Krishnaswamy, Gabriel Obregon-Henao, Sheraz Khan, Behtash Babadi, Eugenio Iglesias, Matti S. Hämäläinen, Patrick L. Purdon:
Sparse Representation Learning Approach Resolves Deep Sources Underlying MEG and EEG Data. AAAI Spring Symposia 2017 - [c16]Jiehan Zhou, Jukka Riekki, Matti S. Hämäläinen, Pasi Mattila, Xinguo Yu, Xiwei Liu, Weishan Zhang:
China-Finland EduCloud Platform Towards Innovative Education. PSIVT Workshops 2017: 172-185 - 2016
- [j33]Jyrki Ahveninen, Samantha Huang, Seppo P. Ahlfors, Matti S. Hämäläinen, Stephanie Rossi, Mikko Sams, Iiro P. Jääskeläinen:
Interacting parallel pathways associate sounds with visual identity in auditory cortices. NeuroImage 124: 858-868 (2016) - 2015
- [j32]Catherine Jean Chu, Naoaki Tanaka, J. Diaz, Brian L. Edlow, Ona Wu, Matti S. Hämäläinen, Steven M. Stufflebeam, Sydney S. Cash, Mark A. Kramer:
EEG functional connectivity is partially predicted by underlying white matter connectivity. NeuroImage 108: 23-33 (2015) - 2014
- [j31]Alexandre Gramfort, Martin Luessi, Eric Larson, Denis A. Engemann, Daniel Strohmeier, Christian Brodbeck, Lauri Parkkonen, Matti S. Hämäläinen:
MNE software for processing MEG and EEG data. NeuroImage 86: 446-460 (2014) - [j30]Samantha Huang, Wei-Tang Chang, John W. Belliveau, Matti S. Hämäläinen, Jyrki Ahveninen:
Lateralized parietotemporal oscillatory phase synchronization during auditory selective attention. NeuroImage 86: 461-469 (2014) - [j29]Behtash Babadi, Gabriel Obregon-Henao, Camilo Lamus, Matti S. Hämäläinen, Emery N. Brown, Patrick L. Purdon:
A Subspace Pursuit-based Iterative Greedy Hierarchical solution to the neuromagnetic inverse problem. NeuroImage 87: 427-443 (2014) - [c15]Mikko Parviainen, Pasi Pertilä, Matti S. Hämäläinen:
Self-localization of wireless acoustic sensors in meeting rooms. HSCMA 2014: 152-156 - [c14]Martin Luessi, Matti S. Hämäläinen, Victor Solo:
Vector ℓ0 latent-space principal component analysis. ICASSP 2014: 4229-4233 - 2013
- [j28]Kunjan D. Rana, Lucia Maria Vaina, Matti S. Hämäläinen:
A fast statistical significance test for baseline correction and comparative analysis in phase locking. Frontiers Neuroinformatics 7: 3 (2013) - [j27]Jyrki Ahveninen, Samantha Huang, John W. Belliveau, Wei-Tang Chang, Matti S. Hämäläinen:
Dynamic Oscillatory Processes Governing Cued Orienting and Allocation of Auditory Attention. J. Cogn. Neurosci. 25(11): 1926-1943 (2013) - [j26]Alexandre Gramfort, Daniel Strohmeier, Jens Haueisen, Matti S. Hämäläinen, Matthieu Kowalski:
Time-frequency mixed-norm estimates: Sparse M/EEG imaging with non-stationary source activations. NeuroImage 70: 410-422 (2013) - [j25]Marnie E. Shaw, Matti S. Hämäläinen, Alexander Gutschalk:
How anatomical asymmetry of human auditory cortex can lead to a rightward bias in auditory evoked fields. NeuroImage 74: 22-29 (2013) - [j24]Seok Lew, Danielle D. Sliva, Myong-sun Choe, Patricia Ellen Grant, Yoshio Okada, Carsten H. Wolters, Matti S. Hämäläinen:
Effects of sutures and fontanels on MEG and EEG source analysis in a realistic infant head model. NeuroImage 76: 282-293 (2013) - [j23]Pasi Pertilä, Matti S. Hämäläinen, Mikael Mieskolainen:
Passive Temporal Offset Estimation of Multichannel Recordings of an Ad-Hoc Microphone Array. IEEE Trans. Speech Audio Process. 21(11): 2393-2402 (2013) - [c13]Martin Luessi, Matti S. Hämäläinen, Victor Solo:
Sparse component selection with application to MEG source localization. ISBI 2013: 556-559 - 2012
- [j22]Tal Kenet, Elena V. Orekhova, Hari M. Bharadwaj, Nandita R. Shetty, Emily Israeli, Adrian K. C. Lee, Yigal Agam, Mikael Elam, Robert M. Joseph, Matti S. Hämäläinen, Dara S. Manoach:
Disconnectivity of the cortical ocular motor control network in autism spectrum disorders. NeuroImage 61(4): 1226-1234 (2012) - [j21]Camilo Lamus, Matti S. Hämäläinen, Simona Temereanca, Emery N. Brown, Patrick L. Purdon:
A spatiotemporal dynamic distributed solution to the MEG inverse problem. NeuroImage 63(2): 894-909 (2012) - [c12]Pasi Pertilä, Mikael Mieskolainen, Matti S. Hämäläinen:
Passive self-localization of microphones using ambient sounds. EUSIPCO 2012: 1314-1318 - 2011
- [c11]Alexandre Gramfort, Daniel Strohmeier, Jens Haueisen, Matti S. Hämäläinen, Matthieu Kowalski:
Functional Brain Imaging with M/EEG Using Structured Sparsity in Time-Frequency Dictionaries. IPMI 2011: 600-611 - 2010
- [j20]Naoaki Tanaka, Matti S. Hämäläinen, Seppo P. Ahlfors, Hesheng Liu, Joseph R. Madsen, Blaise F. Bourgeois, Jong Woo Lee, Barbara A. Dworetzky, John W. Belliveau, Steven M. Stufflebeam:
Propagation of epileptic spikes reconstructed from spatiotemporal magnetoencephalographic and electroencephalographic source analysis. NeuroImage 50(1): 217-222 (2010) - [j19]Wanmei Ou, Aapo Nummenmaa, Jyrki Ahveninen, John W. Belliveau, Matti S. Hämäläinen, Polina Golland:
Multimodal functional imaging using fMRI-informed regional EEG/MEG source estimation. NeuroImage 52(1): 97-108 (2010) - [j18]David A. Ziegler, Dominique L. Pritchett, Paymon Hosseini-Varnamkhasti, Suzanne Corkin, Matti S. Hämäläinen, Christopher I. Moore, Stephanie R. Jones:
Transformations in oscillatory activity and evoked responses in primary somatosensory cortex in middle age: A combined computational neural modeling and MEG study. NeuroImage 52(3): 897-912 (2010) - [c10]Pasi Pertilä, Matti S. Hämäläinen:
A track before detect approach for sequential Bayesian tracking of multiple speech sources. ICASSP 2010: 4974-4977 - [c9]Patrick L. Purdon, Camilo Lamus, Matti S. Hämäläinen, Emery N. Brown:
A state space approach to multimodal integration of simultaneously recorded EEG and fMRI. ICASSP 2010: 5454-5457
2000 – 2009
- 2009
- [j17]Wanmei Ou, Matti S. Hämäläinen, Polina Golland:
A distributed spatio-temporal EEG/MEG inverse solver. NeuroImage 44(3): 932-946 (2009) - [j16]Wanmei Ou, Ilkka Nissilä, Harsha Radhakrishnan, David A. Boas, Matti S. Hämäläinen, Maria Angela Franceschini:
Study of neurovascular coupling in humans via simultaneous magnetoencephalography and diffuse optical imaging acquisition. NeuroImage 46(3): 624-632 (2009) - [c8]Wanmei Ou, Aapo Nummenmaa, Matti S. Hämäläinen, Polina Golland:
Multimodal Functional Imaging Using fMRI-Informed Regional EEG/MEG Source Estimation. IPMI 2009: 88-100 - [c7]Wanmei Ou, Tommi Raij, Fa-Hsuan Lin, Polina Golland, Matti S. Hämäläinen:
Modeling Adaptation Effects in fMRI Analysis. MICCAI (1) 2009: 1009-1017 - 2008
- [j15]Daniel T. Wehner, Matti S. Hämäläinen, Maria Mody, Seppo P. Ahlfors:
Head movements of children in MEG: Quantification, effects on source estimation, and compensation. NeuroImage 40(2): 541-550 (2008) - [j14]Tommi Raij, Jari Karhu, Dubravko Kicic, Pantelis Lioumis, Petro Julkunen, Fa-Hsuan Lin, Jyrki Ahveninen, Risto J. Ilmoniemi, Jyrki P. Mäkelä, Matti S. Hämäläinen, Bruce R. Rosen, John W. Belliveau:
Parallel input makes the brain run faster. NeuroImage 40(4): 1792-1797 (2008) - [j13]Steven M. Stufflebeam, Thomas Witzel, Szymon Mikulski, Matti S. Hämäläinen, Simona Temereanca, Jason J. S. Barton, David S. Tuch, Dara S. Manoach:
A non-invasive method to relate the timing of neural activity to white matter microstructural integrity. NeuroImage 42(2): 710-716 (2008) - [j12]A. Molins, Steven M. Stufflebeam, Emery N. Brown, Matti S. Hämäläinen:
Quantification of the benefit from integrating MEG and EEG data in minimum ℓ2-norm estimation. NeuroImage 42(3): 1069-1077 (2008) - [c6]Wanmei Ou, Polina Golland, Matti S. Hämäläinen:
A Distributed Spatio-temporal EEG/MEG Inverse Solver. MICCAI (1) 2008: 26-34 - 2007
- [j11]Jyrki Ahveninen, Fa-Hsuan Lin, Reetta Kivisaari, Taina Autti, Matti S. Hämäläinen, Steven M. Stufflebeam, John W. Belliveau, Seppo Kähkönen:
MRI-constrained spectral imaging of benzodiazepine modulation of spontaneous neuromagnetic activity in human cortex. NeuroImage 35(2): 577-582 (2007) - [j10]Aapo Nummenmaa, Toni Auranen, Matti S. Hämäläinen, Iiro P. Jääskeläinen, Jouko Lampinen, Mikko Sams, Aki Vehtari:
Hierarchical Bayesian estimates of distributed MEG sources: Theoretical aspects and comparison of variational and MCMC methods. NeuroImage 35(2): 669-685 (2007) - [j9]Dahlia Sharon, Matti S. Hämäläinen, Roger B. H. Tootell, Eric Halgren, John W. Belliveau:
The advantage of combining MEG and EEG: Comparison to fMRI in focally stimulated visual cortex. NeuroImage 36(4): 1225-1235 (2007) - [j8]So Young Moon, Jason J. S. Barton, Szymon Mikulski, Frida E. Polli, Matthew S. Cain, Mark G. Vangel, Matti S. Hämäläinen, Dara S. Manoach:
Where left becomes right: A magnetoencephalographic study of sensorimotor transformation for antisaccades. NeuroImage 36(4): 1313-1323 (2007) - [j7]Aapo Nummenmaa, Toni Auranen, Matti S. Hämäläinen, Iiro P. Jääskeläinen, Mikko Sams, Aki Vehtari, Jouko Lampinen:
Automatic relevance determination based hierarchical Bayesian MEG inversion in practice. NeuroImage 37(3): 876-889 (2007) - [c5]Camilo Lamus, Christopher J. Long, Matti S. Hämäläinen, Emery N. Brown, Patrick L. Purdon:
Parameter Estimation and Dynamic Source Localization for the Magnetoencephalography (MEG) Inverse Problem. ISBI 2007: 1092-1095 - [c4]Wanmei Ou, Polina Golland, Matti S. Hämäläinen:
Sources of Variability in MEG. MICCAI (2) 2007: 751-759 - 2006
- [j6]Fa-Hsuan Lin, Thomas Witzel, Seppo P. Ahlfors, Steven M. Stufflebeam, John W. Belliveau, Matti S. Hämäläinen:
Assessing and improving the spatial accuracy in MEG source localization by depth-weighted minimum-norm estimates. NeuroImage 31(1): 160-171 (2006) - [c3]Christopher J. Long, Patrick L. Purdon, Simona Temereanca, Neil U. Desai, Matti S. Hämäläinen, Emery N. Brown:
Large Scale Kalman Filtering Solutions to the Electrophysiological Source Localization Problem- A MEG Case Study. EMBC 2006: 4532-4535 - [c2]Christopher J. Long, Neil U. Desai, Matti S. Hämäläinen, Simona Temereanca, Patrick L. Purdon, Emery N. Brown:
A dynamic solution to the ill-conditioned magnetoencephalography (MEG) source localization problem. ISBI 2006: 225-228 - 2005
- [j5]Kristina T. Ciesielski, Matti S. Hämäläinen, Paul G. Lesnik, Daniel A. Geller, Seppo P. Ahlfors:
Increased MEG activation in OCD reflects a compensatory mechanism specific to the phase of a visual working memory task. NeuroImage 24(4): 1180-1191 (2005) - [j4]Toni Auranen, Aapo Nummenmaa, Matti S. Hämäläinen, Iiro P. Jääskeläinen, Jouko Lampinen, Aki Vehtari, Mikko Sams:
Bayesian analysis of the neuromagnetic inverse problem with ℓp-norm priors. NeuroImage 26(3): 870-884 (2005) - 2004
- [j3]Fa-Hsuan Lin, Thomas Witzel, Matti S. Hämäläinen, Anders M. Dale, John W. Belliveau, Steven M. Stufflebeam:
Spectral spatiotemporal imaging of cortical oscillations and interactions in the human brain. NeuroImage 23(2): 582-595 (2004) - [c1]Marcelo Soria-Rodríguez, Moncef Gabbouj, Nick Zacharov, Matti S. Hämäläinen, Kalle Koivuniemi:
Modeling and real-time auralization of electrodynamic loudspeaker non-linearities. ICASSP (4) 2004: 81-84
1990 – 1999
- 1993
- [j2]Antti Ahonen, Matti S. Hämäläinen, Risto J. Ilmoniemi, Matti J. Kajola, Jukka E. T. Knuutila, Juha Simola, Visa A. Vilkman:
Sampling theory for neuromagnetic detector arrays. IEEE Trans. Biomed. Eng. 40(9): 859-869 (1993)
1980 – 1989
- 1989
- [j1]Matti S. Hämäläinen, Jukka Sarvas:
Realistic conductivity geometry model of the human head for interpretation of neuromagnetic data. IEEE Trans. Biomed. Eng. 36(2): 165-171 (1989)
Coauthor Index
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