Anders Nymark Christensen
Anders Nymark Christensen
Associate Professor - Technical University of Denmark
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Cited by
Cited by
Exercise training favors increased insulin-stimulated glucose uptake in skeletal muscle in contrast to adipose tissue: a randomized study using FDG PET imaging
MH Reichkendler, P Auerbach, M Rosenkilde, AN Christensen, S Holm, ...
American Journal of Physiology-Endocrinology and Metabolism 305 (4), E496-E506, 2013
Wind turbine surface damage detection by deep learning aided drone inspection analysis
ASM Shihavuddin, X Chen, V Fedorov, A Nymark Christensen, ...
Energies 12 (4), 676, 2019
Injectable colloidal gold for use in intrafractional 2D image‐guided radiation therapy
RI Jølck, JS Rydhög, AN Christensen, AE Hansen, LM Bruun, ...
Advanced healthcare materials 4 (6), 856-863, 2015
MR spectroscopy of hepatic fat and adiponectin and leptin levels during testosterone therapy in type 2 diabetes: a randomized, double-blinded, placebo-controlled trial
LV Magnussen, PE Andersen, A Diaz, J Ostojic, K Højlund, DM Hougaard, ...
European journal of endocrinology 177 (2), 157-168, 2017
Effects of menopause and high-intensity training on insulin sensitivity and muscle metabolism
CM Mandrup, J Egelund, M Nyberg, LH Enevoldsen, A Kjær, ...
Menopause 25 (2), 165-175, 2018
How does 6 months of active bike commuting or leisure-time exercise affect insulin sensitivity, cardiorespiratory fitness and intra-abdominal fat? A randomised controlled trial …
MB Blond, M Rosenkilde, AS Gram, M Tindborg, AN Christensen, JS Quist, ...
British journal of sports medicine 53 (18), 1183-1192, 2019
A 16-week aerobic exercise intervention does not affect hippocampal volume and cortical thickness in mild to moderate Alzheimer’s disease
KS Frederiksen, CT Larsen, SG Hasselbalch, AN Christensen, P Høgh, ...
Frontiers in aging neuroscience 10, 293, 2018
Anthropometry, DXA, and leptin reflect subcutaneous but not visceral abdominal adipose tissue on MRI in 197 healthy adolescents
J Tinggaard, CP Hagen, AN Christensen, A Mouritsen, MG Mieritz, ...
Pediatric research 82 (4), 620-628, 2017
Calibrated image-derived input functions for the determination of the metabolic uptake rate of glucose with [18F]-FDG PET
AN Christensen, MH Reichkendler, R Larsen, P Auerbach, L Højgaard, ...
Nuclear medicine communications 35 (4), 353, 2014
Complex-valued neural networks for machine learning on non-stationary physical data
JS Dramsch, M Lüthje, AN Christensen
Computers & Geosciences 146, 104643, 2021
Injectable silver nanosensors: in vivo dosimetry for external beam radiotherapy using positron emission tomography
AN Christensen, JS Rydhög, RV Søndergaard, TL Andresen, S Holm, ...
Nanoscale 8 (21), 11002-11011, 2016
Data Analysis of Medical Images: CT, MRI, Phase Contrast X-ray and PET
AN Christensen, K Conradsen, R Larsen
Technical University of Denmark, Applied Mathematics and Computer Science, 2015
Deep unsupervised 4D seismic 3D time-shift estimation with convolutional neural networks
JS Dramsch, AN Christensen, C MacBeth, M Lüthje
EarthArXiv, 2019
Automatic segmentation of abdominal fat in MRI-Scans, Using graph-cuts and image derived energies
AN Christensen, CT Larsen, CM Mandrup, MB Petersen, R Larsen, ...
Scandinavian Conference on Image Analysis, 109-120, 2017
Deep metric learning for otitis media classification
JV Sundgaard, J Harte, P Bray, S Laugesen, Y Kamide, C Tanaka, ...
Medical Image Analysis 71, 102034, 2021
Wind turbine maintenance cost reduction by deep learning aided drone inspection analysis
ASM Shihavuddin, X Chen, V Fedorov, NAB Riis, AN Christensen, ...
Preprints, 2019
Characterization of the fiber orientations in non-crimp glass fiber reinforced composites using structure tensor
N Jeppesen, VA Dahl, AN Christensen, AB Dahl, LP Mikkelsen
IOP Conference Series: Materials Science and Engineering 942 (1), 012037, 2020
Multimodal soft tissue markers for bridging high-resolution diagnostic imaging with therapeutic intervention
AE Hansen, JR Henriksen, RI Jølck, FP Fliedner, LM Bruun, J Scherman, ...
Science advances 6 (34), eabb5353, 2020
Wind Turbine Surface Damage Detection by Deep Learning Aided Drone Inspection Analysis
S Asm, X Chen, V Fedorov, AN Christensen, NAB Riis, K Branner, ...
Energies 12 (4), 1-15, 2019
A new self-made digital slide scanner and microscope for imaging and quantification of fluorescent microspheres
W Henning, JB Andersen, L Højgaard, G Greisen, I Law, A Thorseth, ...
J Biomed Graph Comput 5, 33, 2015
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