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Maciej Plocharski
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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
1422019
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
382016
Mechanisms contributing to reduced knee stiffness during movement
D Ludvig, M Plocharski, P Plocharski, EJ Perreault
Experimental brain research 235, 2959-2970, 2017
342017
DeepQSM-using deep learning to solve the dipole inversion for MRI susceptibility mapping
KG Bøtker Rasmussen, M Kristensen, RG Blendal, LR Østergaard, ...
BioRxiv, 278036, 2018
252018
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
222018
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
132018
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
122018
Classification of Alzheimer’s disease from MRI using sulcal morphology
SK Andersen, CE Jakobsen, CH Pedersen, AM Rasmussen, M Plocharski, ...
Image Analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark …, 2015
122015
Automatic detection of cervical vertebral landmarks for fluoroscopic joint motion analysis
IMG Jakobsen, M Plocharski
Scandinavian conference on image analysis, 209-220, 2019
82019
Ankle joint stiffness during phases of human walking
M Plocharski, P Plocharski
Aalborg, Denmark: Aalborg University, 2013
62013
Semi-automatic method for intervertebral kinematics measurement in the cervical spine
AK Nøhr, LP Pilgaard, BD Hansen, R Nedergaard, H Haavik, ...
Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway …, 2017
42017
Quality assessment of maternal and fetal cardiovascular sounds recorded from the skin near the uterine arteries during pregnancy
DH Eiríksdóttir, RG Sæderup, D Riknagel, H Zimmermann, M Plocharski, ...
2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019
32019
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: June 3-8 …, 2019
32019
The global end-ranges of neck flexion and extension do not represent the maximum rotational ranges of the cervical intervertebral joints in healthy adults-an observational study
V Andersen, X Wang, M de Zee, LR Østergaard, M Plocharski, ...
Chiropractic & Manual Therapies 29 (1), 18, 2021
22021
Building a high-resolution in vivo minimum deformation average model of the human hippocampus
N Jacobsen, JB Munk, M Plocharski, LR Østergaard, L Marstaller, ...
BioRxiv, 160176, 2017
22017
Knee stiffness decreases during continuous volitional movement
D Ludvig, M Plocharski, P Plocharski, EJ Perreault
Annual Meeting of the Society for Neuroscience, Neuroscience 2013, 9-13 …, 2013
22013
Sulcal and cortical features for classification of Alzheimer’s disease and mild cognitive impairment
M Plocharski, LR Østergaard, ...
Image Analysis: 21st Scandinavian Conference, SCIA 2019, Norrköping, Sweden …, 2019
12019
Cervical End-Range Joint Motion Does Not Indicate Maximum Cervical Joint Motion In Healthy Adults. An Observational Study
VB Andersen, X Wang, M De Zee, LR Østergaard, M Plocharski, ...
2020
Multi-Contrast Hippocampal Subfield Segmentation for Ultra-High Field 7T MRI Data using Deep Learning
DR Lund, MT Gade, T Jensen, TB Shaw, M Plocharski, LR Østergaard, ...
2020 ISMRM & SMRT Virtual Conference & Exhibition, 3521, 2020
2020
Predicting conversion to Alzheimer’s disease from Mild Cognitive Impairment using longitudinal MRI data and a Convolutional Neural Network
MT Gade, AS Jørgensen, M Plocharski
18th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics 2020, 2020
2020
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