Timo Dickscheid
Timo Dickscheid
Professor at Heinrich Heine University Düsseldorf / Researcher at Forschungszentrum Jülich
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Cited by
Cited by
BigBrain: an ultrahigh-resolution 3D human brain model
K Amunts, C Lepage, L Borgeat, H Mohlberg, T Dickscheid, MÉ Rousseau, ...
science 340 (6139), 1472-1475, 2013
High-resolution fiber tract reconstruction in the human brain by means of three-dimensional polarized light imaging
M Axer, D Grässel, M Kleiner, J Dammers, T Dickscheid, J Reckfort, ...
Frontiers in neuroinformatics 5, 34, 2011
BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices
K Wagstyl, S Larocque, G Cucurull, C Lepage, JP Cohen, S Bludau, ...
PLoS biology 18 (4), e3000678, 2020
Detecting interpretable and accurate scale-invariant keypoints
W Förstner, T Dickscheid, F Schindler
2009 IEEE 12th International Conference on Computer Vision, 2256-2263, 2009
Improving cytoarchitectonic segmentation of human brain areas with self-supervised siamese networks
H Spitzer, K Kiwitz, K Amunts, S Harmeling, T Dickscheid
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
Brain simulation as a cloud service: The Virtual Brain on EBRAINS
M Schirner, L Domide, D Perdikis, P Triebkorn, L Stefanovski, R Pai, ...
NeuroImage 251, 118973, 2022
Coding images with local features
T Dickscheid, F Schindler, W Förstner
International journal of computer vision 94, 154-174, 2011
The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging
C Paquola, J Royer, LB Lewis, C Lepage, T Glatard, K Wagstyl, ...
Elife 10, e70119, 2021
Contour proposal networks for biomedical instance segmentation
E Upschulte, S Harmeling, K Amunts, T Dickscheid
Medical image analysis 77, 102371, 2022
Spatial normalization of brain images and beyond
JF Mangin, J Lebenberg, S Lefranc, N Labra, G Auzias, M Labit, ...
Medical image analysis 33, 127-133, 2016
A framework based on sulcal constraints to align preterm, infant and adult human brain images acquired in vivo and post mortem
J Lebenberg, M Labit, G Auzias, H Mohlberg, C Fischer, D Rivière, ...
Brain Structure and Function 223, 4153-4168, 2018
The multimodality cell segmentation challenge: toward universal solutions
J Ma, R Xie, S Ayyadhury, C Ge, A Gupta, R Gupta, S Gu, Y Zhang, G Lee, ...
Nature methods, 1-11, 2024
Parcellation of visual cortex on high-resolution histological brain sections using convolutional neural networks
H Spitzer, K Amunts, S Harmeling, T Dickscheid
2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017
Evaluating the suitability of feature detectors for automatic image orientation systems
T Dickscheid, W Förstner
International Conference on Computer Vision Systems, 305-314, 2009
Automatic identification of gray and white matter components in polarized light imaging
J Dammers, L Breuer, M Axer, M Kleiner, B Eiben, D Gräßel, T Dickscheid, ...
NeuroImage 59 (2), 1338-1347, 2012
Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics
V Sip, M Hashemi, T Dickscheid, K Amunts, S Petkoski, V Jirsa
Science Advances 9 (11), eabq7547, 2023
Benchmarking automatic bundle adjustment results
T Dickscheid, T Läbe, W Förstner
21st Congress of the International Society for Photogrammetry and Remote …, 2008
The coming decade of digital brain research-A vision for neuroscience at the intersection of technology and computing
K Amunts, A Rowald, S Petkoski, MV Sanchez-Vives, M Axer, G De Bonis, ...
Computational and Systems Neuroscience, 2022
Cytoarchitecture, probability maps and segregation of the human insula
J Quabs, S Caspers, C Schöne, H Mohlberg, S Bludau, T Dickscheid, ...
Neuroimage 260, 119453, 2022
Convolutional neural networks for cytoarchitectonic brain mapping at large scale
C Schiffer, H Spitzer, K Kiwitz, N Unger, K Wagstyl, AC Evans, ...
Neuroimage 240, 118327, 2021
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