Publications

Contextual MEG and EEG source estimates using spatiotemporal LSTM networks

Dinh C, Samuelsson JG, Hunold A, Hämäläinen MS, Khan S

Frontiers in Neuroscience · 2021, 15:552666.

doi:10.3389/fnins.2021.552666 (opens in a new tab)Open accessCode (opens in a new tab)

MNE: Software for acquiring, processing, and visualizing MEG/EEG data

Esch L, Dinh C, Larson E, Engemann D, Jas M, Khan S, Gramfort A, Hämäläinen MS

Magnetoencephalography: From Signals to Dynamic Cortical Networks, 2nd ed. (Supek S, Aine CJ, eds.), Springer · 2019, pp. 355–371.

doi:10.1007/978-3-030-00087-5_59 (opens in a new tab)Author manuscript (HAL) (opens in a new tab)

MNE Scan: Software for real-time processing of electrophysiological data

Esch L, Sun L, Klüber V, Lew S, Baumgarten D, Grant PE, Okada Y, Haueisen J, Hämäläinen MS, Dinh C

Journal of Neuroscience Methods · 2018, 303:55–67.

doi:10.1016/j.jneumeth.2018.03.020 (opens in a new tab)Author manuscript (PMC) (opens in a new tab)Code (opens in a new tab)

Real-time clustered multiple signal classification (RTC-MUSIC)

Dinh C, Esch L, Rühle J, Bollmann S, Güllmar D, Baumgarten D, Hämäläinen MS, Haueisen J

Brain Topography · 2018, 31(1):125–128.

doi:10.1007/s10548-017-0586-7 (opens in a new tab)Author manuscript (PMC) (opens in a new tab)

Versatile synchronized real-time MEG hardware controller for large-scale fast data acquisition

Sun L, Han M, Pratt K, Paulson D, Dinh C, Esch L, Okada Y, Hämäläinen M

Review of Scientific Instruments · 2017, 88(5):055110.

doi:10.1063/1.4983080 (opens in a new tab)

BabyMEG: A whole-head pediatric magnetoencephalography system for human brain development research

Okada Y, Hämäläinen M, Pratt K, Mascarenas A, Miller P, Han M, Robles J, Cavallini A, Power B, Sieng K, Sun L, Lew S, Doshi C, Ahtam B, Dinh C, Esch L, Grant E, Nummenmaa A, Paulson D

Review of Scientific Instruments · 2016, 87(9):094301.

doi:10.1063/1.4962020 (opens in a new tab)

Real-time MEG source localization using regional clustering

Dinh C, Strohmeier D, Luessi M, Güllmar D, Baumgarten D, Haueisen J, Hämäläinen MS

Brain Topography · 2015, 28(6):771–784.

doi:10.1007/s10548-015-0431-9 (opens in a new tab)Author manuscript (PMC) (opens in a new tab)

Signals of decline: Machine learning driven biomarkers for Alzheimer’s disease

Ripoll M, Andres MN, Sohrabpour A, Dinh C, Diepold K, Khan S

NeurIPS 2025 Workshop on Learning from Time Series for Health (TS4H) · 2025.

Publication record (opens in a new tab)

Dataflow programming for big engineering data

Beier F, Sattler KU, Dinh C, Baumgarten D

Datenbanksysteme für Business, Technologie und Web (BTW 2015), Workshopband · 2015, pp. 101–102.

Automatic emergency detection using commercial accelerometers and knowledge-based methods

Dinh C, Tantinger D, Struck M

Computers in Cardiology · 2009, 36:485–488.

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A new real-time fall detection approach using fuzzy logic and a neural network

Dinh C, Struck M

Proc. 6th International Workshop on Wearable, Micro and Nano Technologies for Personalized Health (pHealth) · 2009, pp. 57–60.

doi:10.1109/PHEALTH.2009.5754822 (opens in a new tab)

Remote control of portable low-field MRI by cloud-native acquisition platform

Schote D, Behrens J, Kolbitsch C, Winter L, Dinh C

Proc. Annual Meeting of the ISMRM · 2026, 567-02-005.

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ScanHub: Open-source platform for MR scanner control, acquisitions and postprocessing

Schote D, Behrens J, Winter L, Kolbitsch C, Dinh C

Proc. Annual Meeting of the ISMRM · 2023, 2391.

doi:10.58530/2023/2391 (opens in a new tab)Code (opens in a new tab)

A digital MRI RF-receiver using an ordinary GPU

Erbrecht A, Pannicke E, Dinh C

Proc. Annual Meeting of the ISMRM · 2021, 0914.

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Real-time single-trial source localization using RAP-MUSIC and region of interest clustering

Dinh C, Strohmeier D, Esch L, Güllmar D, Baumgarten D, Hämäläinen MS, Haueisen J

Biomedical Engineering / Biomedizinische Technik · 2014, 59(S1):S949.

Real-time source localization using minimum norm estimation and region of interest clustering

Dinh C, Strohmeier D, Esch L, Baumgarten D, Hämäläinen MS, Haueisen J

Biomedical Engineering / Biomedizinische Technik · 2014, 59(S1):S988.

MNE-X: MEG/EEG real-time acquisition, real-time processing, and real-time source localization framework

Dinh C, Luessi M, Sun L, Haueisen J, Hämäläinen MS

Biomedical Engineering / Biomedizinische Technik · 2013, 58(S1).

doi:10.1515/bmt-2013-4184 (opens in a new tab)

Brain atlas based region of interest selection for real-time source localization using K-means lead field clustering and RAP-MUSIC

Dinh C, Strohmeier D, Haueisen J, Güllmar D

Biomedical Engineering / Biomedizinische Technik · 2012, 57(SI-1).

doi:10.1515/bmt-2012-4316 (opens in a new tab)

A GPU-accelerated performance optimized RAP-MUSIC algorithm for real-time source localization

Dinh C, Rühle J, Bollmann S, Haueisen J, Güllmar D

Biomedical Engineering / Biomedizinische Technik · 2012, 57(SI-1).

doi:10.1515/bmt-2012-4260 (opens in a new tab)Code (opens in a new tab)

Contextual minimum-norm estimates (CMNE): A deep learning method for source estimation in neuronal networks

Dinh C, Samuelsson JGW, Hunold A, Hämäläinen MS, Khan S

arXiv · 2019, 1909.02636.

Preprint of the 2021 article in Frontiers in Neuroscience.

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Brain Monitoring: Real-Time Localization of Neuronal Activity

Dinh C

Doctoral dissertation, Technische Universität Ilmenau. Shaker, Aachen · 2015.

doi:10.2370/9783844038378 (opens in a new tab)

Systems, devices, components and methods for detecting the locations of sources of cardiac rhythm disorders in a patient’s heart using improved electrographic flow (EGF) methods

Haeusser P, Ruppersberg P, Dinh C

US 12,220,199 B2.

Granted 11 February 2025. Filed while at Ablacon; current assignee Boston Scientific Scimed, Inc.

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Method for generating an MRI sequence, MRI method and MRI device

Röll S, Dinh C

US 11,714,149 B2.

Granted 1 August 2023. Assignee Neoscan Solutions GmbH. German application DE 10 2020 132 072 A1.

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MNE-CPP: A C++ framework for real-time and offline processing of electrophysiological data

Esch L, Dinh C, Motta G, Garcia-Prieto J, Dörfel R, Debor L, Knobl D, et al

Zenodo · 2026.

The DOI resolves to the latest archived release; 44 authors are listed.

doi:10.5281/zenodo.593102 (opens in a new tab)Code (opens in a new tab)

Skigen: A header-only C++ machine-learning library built on Eigen

Dinh C

Zenodo · 2026.

doi:10.5281/zenodo.19971277 (opens in a new tab)Code (opens in a new tab)

CMNE: Contextual MEG/EEG source estimation (Python package)

Dinh C, et al

GitHub · 2019.

Reference implementation accompanying the 2021 article.

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