Personal profile
Expertises
magnetic resonance imaging (MRI); electroencephalography (EEG); magnetoencephalograhy (MEG); machine learning
Main research areas
volume conductor models; forward models; EEG; MEG; source localization
Current research
volume conductor models; forward models; EEG; MEG; source localization
Potential conflicts of interest
None
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- 1 Similar Profiles
Collaborations and top research areas from the last five years
Research output
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End-to-End Cortical Surface Reconstruction from Clinical Magnetic Resonance Images
Nielsen, J. D., Gopinath, K., Hoopes, A., Dalca, A., Magdamo, C., Arnold, S., Das, S., Thielscher, A., Iglesias, J. E. & Puonti, O., 2026, Machine Learning in Medical Imaging - 16th International Workshop, MLMI 2025, Held in Conjunction with MICCAI 2025, Proceedings. Cui, Z., Rekik, I., Suk, H.-I., Ouyang, X., Sun, K. & Wang, S. (eds.). Springer, p. 212-223 12 p. (Lecture Notes in Computer Science, Vol. 16241).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Generating, validating and applying volume conductor models for electric field simulations to determine and optimize the brain regions targeting by transcranial brain stimulation
Thielscher, A., Puonti, O., Hanson, L. G., Duemose Nielsen, J., Cunha, T. M., Worbs, T., Madsen, K. H. & Gregersen, F., Feb 2025, p. 250-2501. 2 p.Research output: Contribution to conference › Conference abstract for conference › Research
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Evaluating the Influence of Anatomical Accuracy and Electrode Positions on EEG Forward Solutions
Nielsen, J. D., Puonti, O., Xue, R., Thielscher, A. & Madsen, K. H., 15 Aug 2023, In: NeuroImage. 277, p. 1-20 20 p., 120259.Research output: Contribution to journal › Journal article › Research › peer-review
14 Citations (Scopus) -
Developing and Validating Realistic Head Hodels for Forward Calculation of Electromagnetic Fields with Applications in EEG
Duemose Nielsen, J., 2 Dec 2022, Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU Compute).Research output: Book/Report › Ph.D. thesis
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Accurate anatomical head segmentations: a data set for biomedical simulations
Farcito, S., Puonti, O., Montanaro, H., Saturnino, G. B., Nielsen, J. D., Madsen, C. G., Siebner, H. R., Neufeld, E., Kuster, N., Lloyd, B. A. & Thielscher, A., 2019, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, p. 6118-6123 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
13 Citations (Scopus)
Activities
- 2 Lecture and oral contribution
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Accurate Anatomical Head Segmentations: A Data Set for Biomedical Simulations
Farcito, S. (Other), Puonti, O. (Other), Montanaro, H. (Other), Saturnino, G. B. (Other), Duemose Nielsen, J. (Other), Madsen, C. G. (Other), Siebner, H. R. (Other), Neufeld, E. (Other), Kuster, N. (Other), Lloyd, B. A. (Other) & Thielscher, A. (Other)
27 Jul 2019Activity: Talk or presentation › Lecture and oral contribution
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Automated and Robust Segmentation of the Human Head Anatomy
Puonti, O. (Other), Van Leemput, K. (Other), Duemose Nielsen, J. (Other), Madsen, K. H. (Other) & Thielscher, A. (Other)
25 Jul 2019Activity: Talk or presentation › Lecture and oral contribution