Maciej Plocharski
Title
Cited by
Cited by
Year
DeepQSM-using deep learning to solve the dipole inversion for quantitative susceptibility mapping
S Bollmann, KGB Rasmussen, M Kristensen, RG Blendal, LR Østergaard, ...
NeuroImage 195, 373-383, 2019
122019
Extraction of sulcal medial surface and classification of Alzheimer's disease using sulcal features
M Plocharski, LR Østergaard, ...
Computer methods and programs in biomedicine 133, 35-44, 2016
122016
DeepQSM-using deep learning to solve the dipole inversion for MRI susceptibility mapping
KGB Rasmussen, MJ Kristensen, RG Blendal, LR Ostergaard, ...
BioRxiv, 278036, 2018
112018
Cervical flexion and extension includes anti-directional cervical joint motion in healthy adults
X Wang, R Lindstroem, M Plocharski, LR Østergaaard, T Graven-Nielsen
The Spine Journal 18 (1), 147-154, 2018
92018
Mechanisms contributing to reduced knee stiffness during movement
D Ludvig, M Plocharski, P Plocharski, EJ Perreault
Experimental brain research 235 (10), 2959-2970, 2017
92017
Classification of Alzheimer’s disease from MRI using sulcal morphology
SK Andersen, CE Jakobsen, CH Pedersen, AM Rasmussen, M Plocharski, ...
Scandinavian Conference on Image Analysis, 103-113, 2015
72015
Repeatability of cervical joint flexion and extension within and between days
X Wang, R Lindstroem, M Plocharski, LR Østergaard, T Graven-Nielsen
Journal of manipulative and physiological therapeutics 41 (1), 10-18, 2018
52018
Motion analysis of the cervical spine during extension and flexion: Reliability of the vertebral marking procedure
M Plocharski, R Lindstroem, CF Lindstroem, LR Østergaard
Medical engineering & physics 61, 81-86, 2018
42018
Automatic detection of cervical vertebral landmarks for fluoroscopic joint motion analysis
IMG Jakobsen, M Plocharski
Scandinavian Conference on Image Analysis, 209-220, 2019
22019
Semi-automatic method for intervertebral kinematics measurement in the cervical spine
AK Nøhr, LP Pilgaard, BD Hansen, R Nedergaard, H Haavik, ...
Scandinavian Conference on Image Analysis, 302-313, 2017
22017
Prediction of Alzheimer’s disease in mild cognitive impairment using sulcal morphology and cortical thickness
M Plocharski, LR Østergaard
World Congress on Medical Physics and Biomedical Engineering 2018, 69-74, 2019
12019
Building a high-resolution in vivo minimum deformation average model of the human hippocampus
N Jacobsen, JB Munk, M Plocharski, LR Ostergaard, L Marstaller, ...
BioRxiv, 160176, 2017
12017
Kunstig intelligens giver håb for kampen mod Alzheimers
M Plocharski
Medicoteknik 7 (1), 12-14, 2020
2020
Sulcal and Cortical Features for Classification of Alzheimer’s Disease and Mild Cognitive Impairment
M Plocharski, LR Østergaard, ...
Scandinavian Conference on Image Analysis, 427-438, 2019
2019
Quality Assessment of Maternal and Fetal Cardiovascular Sounds Recorded from the Skin near the Uterine Arteries during Pregnancy
DH Eirıksdóttir, RG Sæderup, D Riknagel, H Zimmermann, M Plocharski, ...
Computing in Cardiology, CinC, 2019
2019
DeepQSM: Solving the quantitative susceptibility mapping inverse problem using deep learning
MJ Kristensen, KGB Rasmussen, RG Blendal, LR Østergaard, ...
Joint Annual Meeting of the International Society for Magnetic Resonance in …, 2018
2018
Contrast matching of ultra-high resolution minimum deformation averaged MRI models to facilitate computation of a multi-modal model of the human brain
JB Munk, N Jacobsen, M Plocharski, LR Østergaard, M Barth, AL Janke, ...
Annual Meeting of the International Society for Magnetic Resonance in …, 2017
2017
Sulcal Morphology Analysis from MRI Data for Classification of Alzheimer's Disease
M Plocharski
2017
Knee stiffness decreases during continuous volitional movement
D Ludvig, M Plocharski, P Plocharski, EJ Perreault
Annual Meeting of the Society for Neuroscience, 2013
2013
Optimal contrast enhancement of blockface images for MRI guided reconstruction of mouse brain volumes
C Gothgen, CM Holland, CZ Schoinas, K Mardon, M Plocharski, ...
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Articles 1–20