• Fredrik Bajers Vej 7, C1-219

    9220 Aalborg Ø

    Denmark

20032019
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Personal profile

Teaching profile

Education Programmes at the Department of Health Science and Technology, Aalborg University:

  • Biomedical Engineering and Informatics/ Sundhedsteknologi (ST)
  • Medicine and Medicine with Industrial Specialisation (Medicin/MedIs)
  • Clinical Science and Technology/ Klinisk Videnskab og Teknologi (KVT)
  • Public Health / Folkesundhedsvidenskab (FSV)

Courses:

  • Biostatistics (ST 5. Semester Bachelor)
  • Statistical analysis and design of experiments (KVT 2. Semester Master)
  • Image Analysis and Computer Vision (ST 2. Semester Master)
  • Epidemiology and statstics (FSV, 1. Semester Master)
  • Respiratory, circulatory, and urinary tract systems (Medicin/MedIs, 1. Semester Bachelor)

Education Programmes at Sino-Danish Center for Education and Research, University of Chinese Academy of Sciences, Beijing, China:

  • Neuroscience & Neuroimaging (1. Semester Master)

Courses:

  • Fundamental Biomedical Signal Processing

Research profile

Biomedical Engineering
Medical Image Analysis
Imaging biomarkers in Alzheimer's disease
Musculoskeletal imaging of the cervical spine

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Projects 2003 2003

Modelling and quantification of the cerebral cortex

Østergaard, L. R., Plocharski, M., Eskildsen, S. F. & Uldahl, M.

01/01/2003 → …

Project: Research

Research Output 2013 2019

1 Citation (Scopus)

Automatic Detection of Cervical Vertebral Landmarks for Fluoroscopic Joint Motion Analysis

Jakobsen, I. M. G. & Plocharski, M., 2019, Image Analysis : 21st Scandinavian Conference, SCIA 2019, Norrköping, Sweden, June 11–13, 2019, Proceedings. Felsberg, M., Forssén, P-E., Unger, J. & Sintorn, I-M. (eds.). Springer, p. 209-220 12 p. (Lecture Notes in Computer Science, Vol. 11482).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

4 Citations (Scopus)

DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping

Bollmann, S., Rasmussen, K. G. B., Kristensen, M., Blendal, R. G., Østergaard, L. R., Plocharski, M., O'Brien, K., Langkammer, C., Janke, A. & Barth, M., Jul 2019, In : NeuroImage. 195, p. 373-383 11 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Magnetic Resonance Imaging
Learning
Iron Overload
Myelin Sheath
Multiple Sclerosis
1 Citation (Scopus)

Prediction of Alzheimer’s disease in mild cognitive impairment using sulcal morphology and cortical thickness

Plocharski, M. & Østergaard, L. R., 1 Jan 2019, World Congress on Medical Physics and Biomedical Engineering, 3-8 June 2018, Prague, Czech Republic. Lhotska, L., Sukupova, L., Lacković, I. & Ibbott, G. S. (eds.). 1 ed. Springer, Vol. 68. p. 69-74 6 p. (IFMBE Proceedings, Vol. 68(1)).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Alzheimer Disease
Occipital Lobe
Entorhinal Cortex
Gyrus Cinguli
Frontal Lobe

Quality Assessment of Maternal and Fetal Cardiovascular Sounds Recorded from the Skin near the Uterine Arteries During Pregnancy

Eiriksdóttir, D. H., Sæderup, R. G., Riknagel, D., Zimmermann, H., Plocharski, M., Hansen, J., Struijk, J. J. & Schmidt, S. E., Sep 2019, In : Computing in Cardiology. 46, 4 p.

Research output: Contribution to journalConference article in JournalResearchpeer-review

Open Access

Sulcal and Cortical Features for Classification of Alzheimer’s Disease and Mild Cognitive Impairment

Plocharski, M., Østergaard, L. R. & The Alzheimer’s Disease Neuroimaging Initiative, 2019, Image Analysis: 21st Scandinavian Conference, SCIA 2019, Norrköping, Sweden, June 11–13, 2019, Proceedings. Felsberg, M., Forssén, P-E., Unger, J. & Sintorn, I-M. (eds.). Springer, p. 427-438 12 p. (Lecture Notes in Computer Science, Vol. 11482).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Press / Media

Ph.d.-grad

Maciej Plocharski

10/11/2017

1 item of Media coverage

Press/Media: Press / Media