Maciej Plocharski
Cited by
Cited by
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
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
DeepQSM-using deep learning to solve the dipole inversion for MRI susceptibility mapping
KGB Rasmussen, M Kristensen, RG Blendal, LR Østergaard, ...
BioRxiv, 278036, 2018
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
Mechanisms contributing to reduced knee stiffness during movement
D Ludvig, M Plocharski, P Plocharski, EJ Perreault
Experimental brain research 235 (10), 2959-2970, 2017
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
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
Ankle joint stiffness during phases of human walking
M Plocharski, P Plocharski
Aalborg, Denmark: Aalborg University, 2013
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
Automatic detection of cervical vertebral landmarks for fluoroscopic joint motion analysis
IMG Jakobsen, M Plocharski
Scandinavian Conference on Image Analysis, 209-220, 2019
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
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
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
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
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
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, ...
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, ...
Proceedings of the 2020 ISMRM & SMRT Virtual Conference & Exhibition, 08-14 …, 2020
Kunstig intelligens giver håb for kampen mod Alzheimers
M Plocharski
Medicoteknik 7 (1), 12-14, 2020
DeepQSM-Using Deep Learning to Solve the Dipole Inversion for MRI Susceptibility Mapping
BR KG, M Kristensen, RG Blendal, LR Østergaard, M Plocharski, ...
DeepQSM: Solving the quantitative susceptibility mapping inverse problem using deep learning
MJ Kristensen, KGB Rasmussen, RG Blendal, LR Østergaard, ...
Proceedings of the International Society for Magnetic Resonance in Medicine …, 2018
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