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Aapo Nummenmaa
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Journal Articles
- 2024
- [j33]Joshua K. Marchant, Natalie G. Ferris, Diana Grass, Magdelena S. Allen, Vivek Gopalakrishnan, Mark D. Olchanyi, Devang Sehgal, Maxina Sheft, Amelia Strom, Berkin Bilgic, Brian L. Edlow, Elizabeth M. C. Hillman, Meher R. Juttukonda, Laura Lewis, Shahin Nasr, Aapo Nummenmaa, Jonathan R. Polimeni, Roger B. H. Tootell, Lawrence L. Wald, Hui Wang, Anastasia Yendiki, Susie Y. Huang, Bruce R. Rosen, Randy L. Gollub:
Mesoscale Brain Mapping: Bridging Scales and Modalities in Neuroimaging - A Symposium Review. Neuroinformatics 22(4): 679-706 (2024) - [j32]Gregory M. Noetscher
, Dexuan Tang, Aapo Nummenmaa
Estimations of Charge Deposition Onto Convoluted Axon Surfaces Within Extracellular Electric Fields. IEEE Trans. Biomed. Eng. 71(1): 307-317 (2024) - 2022
- [j31]Qiuyun Fan, Cornelius Eichner
Mapping the human connectome using diffusion MRI at 300 mT/m gradient strength: Methodological advances and scientific impact. NeuroImage 254: 118958 (2022) - 2021
- [j30]Lucia I. Navarro de Lara
A 3-axis coil design for multichannel TMS arrays. NeuroImage 224: 117355 (2021) - [j29]Mohammad Daneshzand
Rapid computation of TMS-induced E-fields using a dipole-based magnetic stimulation profile approach. NeuroImage 237: 118097 (2021) - [j28]Qiuyun Fan, Maya N. Polackal, Qiyuan Tian, Chanon Ngamsombat, Aapo Nummenmaa, Thomas Witzel, Eric C. Klawiter, Susie Yi Huang:
Scan-rescan repeatability of axonal imaging metrics using high-gradient diffusion MRI and statistical implications for study design. NeuroImage 240: 118323 (2021) - [j27]Sergey N. Makarov, William A. Wartman, Gregory M. Noetscher, Kyoko Fujimoto, Tayeb A. Zaidi
Degree of improving TMS focality through a geometrically stable solution of an inverse TMS problem. NeuroImage 241: 118437 (2021) - [j26]Susie Yi Huang, Thomas Witzel, Boris Keil
Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome. NeuroImage 243: 118530 (2021) - [j25]Sergey N. Makarov
Boundary Element Fast Multipole Method for Enhanced Modeling of Neurophysiological Recordings. IEEE Trans. Biomed. Eng. 68(1): 308-318 (2021) - 2020
- [j24]Qiuyun Fan, Aapo Nummenmaa, Thomas Witzel, Ned A. Ohringer, Qiyuan Tian, Kawin Setsompop
Axon diameter index estimation independent of fiber orientation distribution using high-gradient diffusion MRI. NeuroImage 222: 117197 (2020) - 2019
- [j23]Qiuyun Fan, Qiyuan Tian, Ned A. Ohringer, Aapo Nummenmaa, Thomas Witzel, Sean M. Tobyne, Eric C. Klawiter, Choukri Mekkaoui, Bruce R. Rosen, Lawrence L. Wald, David H. Salat, Susie Yi Huang
Age-related alterations in axonal microstructure in the corpus callosum measured by high-gradient diffusion MRI. NeuroImage 191: 325-336 (2019) - 2018
- [j22]Qiuyun Fan
Validation of diffusion MRI estimates of compartment size and volume fraction in a biomimetic brain phantom using a human MRI scanner with 300 mT/m maximum gradient strength. NeuroImage 182: 469-478 (2018) - [j21]Sergey N. Makarov
A Quasi-Static Boundary Element Approach With Fast Multipole Acceleration for High-Resolution Bioelectromagnetic Models. IEEE Trans. Biomed. Eng. 65(12): 2675-2683 (2018) - 2017
- [j20]Qiuyun Fan
HIgh b-value and high Resolution Integrated Diffusion (HIBRID) imaging. NeuroImage 150: 162-176 (2017) - 2016
- [j19]Qiuyun Fan
MGH-USC Human Connectome Project datasets with ultra-high b-value diffusion MRI. NeuroImage 124: 1108-1114 (2016) - [j18]Padmavathi Sundaram, Aapo Nummenmaa, William M. Wells III, Darren Orbach
Direct neural current imaging in an intact cerebellum with magnetic resonance imaging. NeuroImage 132: 477-490 (2016) - 2015
- [j17]Susie Yi Huang
The impact of gradient strength on in vivo diffusion MRI estimates of axon diameter. NeuroImage 106: 464-472 (2015) - 2014
- [j16]Qiuyun Fan
Investigating the Capability to Resolve Complex White Matter Structures with High b-Value Diffusion Magnetic Resonance Imaging on the MGH-USC Connectom Scanner. Brain Connect. 4(9): 718-726 (2014) - [j15]Pasi Jylänki, Aapo Nummenmaa, Aki Vehtari:
Expectation propagation for neural networks with sparsity-promoting priors. J. Mach. Learn. Res. 15(1): 1849-1901 (2014) - [j14]Fa-Hsuan Lin
Corrigendum to "fMRI hemodynamics accurately reflects neuronal timing in the human brain measured by MEG" [Neuroimage 78 (2013) 372-384]. NeuroImage 95: 344 (2014) - 2013
- [j13]Wei-Tang Chang
Whole-head rapid fMRI acquisition using echo-shifted magnetic resonance inverse imaging. NeuroImage 78: 325-338 (2013) - [j12]Fa-Hsuan Lin
fMRI hemodynamics accurately reflects neuronal timing in the human brain measured by MEG. NeuroImage 78: 372-384 (2013) - 2012
- [j11]Simo Särkkä, Arno Solin
Dynamic retrospective filtering of physiological noise in BOLD fMRI: DRIFTER. NeuroImage 60(2): 1517-1527 (2012) - [j10]Kevin Wen-Kai Tsai, Aapo Nummenmaa, Thomas Witzel, Wei-Tang Chang
Multi-projection magnetic resonance inverse imaging of the human visuomotor system. NeuroImage 61(1): 304-313 (2012) - [j9]Fa-Hsuan Lin
Ultrafast inverse imaging techniques for fMRI. NeuroImage 62(2): 699-705 (2012) - [j8]Shr-Tai Liou, Thomas Witzel, Aapo Nummenmaa, Wei-Tang Chang, Kevin Wen-Kai Tsai, Wen-Jui Kuo, Hsiao-Wen Chung
Corrigendum to "Functional magnetic resonance inverse imaging of human visuomotor systems using eigenspace linearly constrained minimum amplitude (eLCMA)" Beamformer [NeuroImage 55/1 (March 2011) 87-100]. NeuroImage 62(3): 2175 (2012) - 2011
- [j7]Shr-Tai Liou, Thomas Witzel, Aapo Nummenmaa, Wei-Tang Chang
Functional magnetic resonance inverse imaging of human visuomotor systems using eigenspace linearly constrained minimum amplitude (eLCMA) beamformer. NeuroImage 55(1): 87-100 (2011) - 2010
- [j6]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) - [j5]Wei-Tang Chang
Spatially sparse source cluster modeling by compressive neuromagnetic tomography. NeuroImage 53(1): 146-160 (2010) - 2009
- [j4]Simo Särkkä, Aapo Nummenmaa:
Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Approximations. IEEE Trans. Autom. Control. 54(3): 596-600 (2009) - 2007
- [j3]Aapo Nummenmaa, Toni Auranen, Matti S. Hämäläinen, Iiro P. Jääskeläinen
Hierarchical Bayesian estimates of distributed MEG sources: Theoretical aspects and comparison of variational and MCMC methods. NeuroImage 35(2): 669-685 (2007) - [j2]Aapo Nummenmaa, Toni Auranen, Matti S. Hämäläinen, Iiro P. Jääskeläinen
Automatic relevance determination based hierarchical Bayesian MEG inversion in practice. NeuroImage 37(3): 876-889 (2007) - 2005
- [j1]Toni Auranen, Aapo Nummenmaa, Matti S. Hämäläinen, Iiro P. Jääskeläinen
Bayesian analysis of the neuromagnetic inverse problem with ℓp-norm priors. NeuroImage 26(3): 870-884 (2005)
Conference and Workshop Papers
- 2021
- [c5]Mohammad Daneshzand
Fast Individualized High-resolution Electric Field Modeling for Computational TMS Neuronavigation. EMBC 2021: 1301-1304 - [c4]William A. Wartrnan, Edward H. Burnham, Sergey N. Makarov, Mathias Davids, Mohammad Daneshzand, Aapo Nummenmaa:
High Resolution Computational Modeling of Transcranial Stimulation using the MIDA Head Model. NER 2021: 1044-1047 - 2018
- [c3]Lucia I. Navarro de Lara, Laleh Golestanirad
Simulations of a birdcage coil B1+ field on a human body model for designing a 3T multichannel TMS/MRI head coil array. EMBC 2018: 4752-4755 - 2016
- [c2]Sergey N. Makarov, Alvaro Pascual-Leone, Aapo Nummenmaa:
Modeling fiber-like conductivity structures via the boundary element method using thin-wire approximation. I construction of basis functions. EMBC 2016: 6473-6476 - 2009
- [c1]Wanmei Ou, Aapo Nummenmaa, Matti S. Hämäläinen, Polina Golland:
Multimodal Functional Imaging Using fMRI-Informed Regional EEG/MEG Source Estimation. IPMI 2009: 88-100
Coauthor Index
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