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Timo Dickscheid
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2020 – today
- 2024
- [i12]Alexander Oberstraß, Sascha E. A. Muenzing, Meiqi Niu, Nicola Palomero-Gallagher, Christian Schiffer, Markus Axer
, Katrin Amunts, Timo Dickscheid
:
Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI. CoRR abs/2401.17207 (2024) - [i11]Alexander Oberstraß, Jordan DeKraker, Nicola Palomero-Gallagher, Sascha E. A. Muenzing, Alan C. Evans, Markus Axer
, Katrin Amunts, Timo Dickscheid:
Analyzing Regional Organization of the Human Hippocampus in 3D-PLI Using Contrastive Learning and Geometric Unfolding. CoRR abs/2402.17744 (2024) - 2023
- [i10]Jun Ma, Ronald Xie, Shamini Ayyadhury, Cheng Ge, Anubha Gupta, Ritu Gupta, Song Gu, Yao Zhang, Gihun Lee, Joonkee Kim, Wei Lou, Haofeng Li, Eric Upschulte, Timo Dickscheid
, José Guilherme de Almeida
, Yixin Wang, Lin Han, Xin Yang, Marco Labagnara, Sahand Jamal Rahi, Carly Kempster, Alice Pollitt, Leon Espinosa, Tâm Mignot, Jan Moritz Middeke, Jan-Niklas Eckardt, Wangkai Li, Zhaoyang Li, Xiaochen Cai, Bizhe Bai, Noah F. Greenwald, David Van Valen, Erin Weisbart, Beth A. Cimini
, Zhuoshi Li, Chao Zuo, Oscar Brück, Gary D. Bader, Bo Wang:
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions. CoRR abs/2308.05864 (2023) - [i9]Jan-Oliver Kropp, Christian Schiffer, Katrin Amunts, Timo Dickscheid
:
Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in the Human Brain. CoRR abs/2311.16821 (2023) - 2022
- [j8]Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
:
Contour proposal networks for biomedical instance segmentation. Medical Image Anal. 77: 102371 (2022) - [j7]Michael Schirner
, Lia Domide
, Dionysios Perdikis
, Paul Triebkorn
, Leon Stefanovski
, Roopa Pai
, Paula Prodan
, Bogdan Valean, Jessica Palmer, Chloê Langford
, André Blickensdörfer
, Michiel van der Vlag
, Sandra Diaz-Pier
, Alexander Peyser, Wouter Klijn
, Dirk Pleiter
, Anne Nahm, Oliver Schmid
, Michael Marmaduke Woodman, Lyuba Zehl
, Jan Fousek
, Spase Petkoski
, Lionel Kusch
, Meysam Hashemi
, Daniele Marinazzo
, Jean-François Mangin, Agnes Flöel
, Simisola Akintoye
, Bernd Carsten Stahl
, Michael Cepic
, Emily Johnson, Gustavo Deco, Anthony R. McIntosh
, Claus C. Hilgetag, Marc Morgan, Bernd Schuller
, Alex Upton
, Colin McMurtrie, Timo Dickscheid
, Jan G. Bjaalie
, Katrin Amunts
, Jochen Mersmann, Viktor K. Jirsa
, Petra Ritter
:
Brain simulation as a cloud service: The Virtual Brain on EBRAINS. NeuroImage 251: 118973 (2022) - [j6]Julian Quabs, Svenja Caspers, Claudia Schöne
, Hartmut Mohlberg
, Sebastian Bludau
, Timo Dickscheid
, Katrin Amunts
:
Cytoarchitecture, probability maps and segregation of the human insula. NeuroImage 260: 119453 (2022) - [c15]Esteban Vaca, Miriam Menzel
, Katrin Amunts, Markus Axer, Timo Dickscheid
:
GORDA: Graph-Based Orientation Distribution Analysis of SLI Scatterometry Patterns of Nerve Fibres. ISBI 2022: 1-5 - [c14]Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
:
Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy Images. Cell Segmentation Challenge @ NeurIPS 2022: 1-12 - [i8]Esteban Vaca, Miriam Menzel, Katrin Amunts, Markus Axer
, Timo Dickscheid:
GORDA: Graph-based ORientation Distribution Analysis of SLI scatterometry Patterns of Nerve Fibres. CoRR abs/2204.05776 (2022) - 2021
- [j5]Christian Schiffer, Hannah Spitzer, Kai Kiwitz, Nina Unger
, Konrad Wagstyl, Alan C. Evans, Stefan Harmeling, Katrin Amunts
, Timo Dickscheid
:
Convolutional neural networks for cytoarchitectonic brain mapping at large scale. NeuroImage 240: 118327 (2021) - [c13]Christian Schiffer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
:
Contrastive Representation Learning For Whole Brain Cytoarchitectonic Mapping In Histological Human Brain Sections. ISBI 2021: 603-606 - [c12]Christian Schiffer
, Stefan Harmeling, Katrin Amunts
, Timo Dickscheid
:
2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural Networks. MICCAI (8) 2021: 395-404 - [i7]Michael Schirner, Lia Domide, Dionysios Perdikis, Paul Triebkorn, Leon Stefanovski, Roopa Pai, Paula Popa, Bogdan Valean, Jessica Palmer, Chloê Langford, André Blickensdörfer, Michiel van der Vlag, Sandra Diaz-Pier, Alexander Peyser, Wouter Klijn, Dirk Pleiter, Anne Nahm, Oliver Schmid, Michael Marmaduke Woodman, Lyuba Zehl, Jan Fousek, Spase Petkoski, Lionel Kusch, Meysam Hashemi, Daniele Marinazzo, Jean-François Mangin, Agnes Flöel, Simisola Akintoye, Bernd Carsten Stahl, Michael Cepic, Emily Johnson, Anthony R. McIntosh, Claus C. Hilgetag, Marc Morgan, Bernd Schuller, Alex Upton, Colin McMurtrie, Timo Dickscheid
, Jan G. Bjaalie, Katrin Amunts
, Jochen Mersmann, Viktor K. Jirsa, Petra Ritter:
Brain Modelling as a Service: The Virtual Brain on EBRAINS. CoRR abs/2102.05888 (2021) - [i6]Christian Schiffer, Stefan Harmeling, Katrin Amunts
, Timo Dickscheid
:
2D histology meets 3D topology: Cytoarchitectonic brain mapping with Graph Neural Networks. CoRR abs/2103.05259 (2021) - [i5]Eric Upschulte, Stefan Harmeling, Katrin Amunts
, Timo Dickscheid
:
Contour Proposal Networks for Biomedical Instance Segmentation. CoRR abs/2104.03393 (2021) - 2020
- [i4]Christian Schiffer, Hannah Spitzer
, Kai Kiwitz
, Nina Unger, Konrad Wagstyl, Alan C. Evans, Stefan Harmeling, Katrin Amunts
, Timo Dickscheid
:
Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale. CoRR abs/2011.12857 (2020) - [i3]Christian Schiffer, Katrin Amunts
, Stefan Harmeling, Timo Dickscheid
:
Contrastive Representation Learning for Whole Brain Cytoarchitectonic Mapping in Histological Human Brain Sections. CoRR abs/2011.12865 (2020)
2010 – 2019
- 2019
- [c11]Sabrina Behuet
, Sebastian Bludau, Olga Kedo, Christian Schiffer, Timo Dickscheid
, Andrea Brandstetter, Philippe Massicotte, Mona Omidyeganeh, Alan C. Evans, Katrin Amunts
:
A High-Resolution Model of the Human Entorhinal Cortex in the 'BigBrain' - Use Case for Machine Learning and 3D Analyses. BrainComp 2019: 3-21 - [c10]Andrea Brandstetter, Najoua Bolakhrif
, Christian Schiffer, Timo Dickscheid, Hartmut Mohlberg, Katrin Amunts:
Deep Learning-Supported Cytoarchitectonic Mapping of the Human Lateral Geniculate Body in the BigBrain. BrainComp 2019: 22-32 - [c9]Lena Oden, Christian Schiffer
, Hannah Spitzer
, Timo Dickscheid
, Dirk Pleiter:
IO Challenges for Human Brain Atlasing Using Deep Learning Methods - An In-Depth Analysis. PDP 2019: 291-298 - 2018
- [c8]Hannah Spitzer
, Kai Kiwitz
, Katrin Amunts
, Stefan Harmeling, Timo Dickscheid
:
Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks. MICCAI (3) 2018: 663-671 - [i2]Hannah Spitzer, Kai Kiwitz, Katrin Amunts, Stefan Harmeling, Timo Dickscheid:
Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks. CoRR abs/1806.05104 (2018) - 2017
- [c7]Hannah Spitzer
, Katrin Amunts
, Stefan Harmeling, Timo Dickscheid
:
Parcellation of visual cortex on high-resolution histological brain sections using convolutional neural networks. ISBI 2017: 920-923 - [i1]Hannah Spitzer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid:
Parcellation of Visual Cortex on high-resolution histological Brain Sections using Convolutional Neural Networks. CoRR abs/1705.10545 (2017) - 2016
- [j4]Jean-François Mangin
, Jessica Lebenberg
, Sandrine Lefranc, Nicole Labra, Guillaume Auzias, M. Labit, Miguel Guevara, Hartmut Mohlberg
, Pauline Roca, Pamela Guevara
, Jessica Dubois
, François Leroy
, Ghislaine Dehaene-Lambertz, Arnaud Cachia
, Timo Dickscheid
, Olivier Coulon, Cyril Poupon, Denis Rivière, Katrin Amunts
, Zhong Yi Sun:
Spatial normalization of brain images and beyond. Medical Image Anal. 33: 127-133 (2016) - [c6]Martin Schober, Markus Axer
, Marcel Huysegoms, Nicole Schubert, Katrin Amunts, Timo Dickscheid
:
Morphing Image Masks for Stacked Histological Sections Using Laplace's Equation. Bildverarbeitung für die Medizin 2016: 146-151 - 2012
- [j3]Jürgen Dammers
, Lukas Breuer, Markus Axer
, Melanie Kleiner, Björn Eiben
, David Gräßel, Timo Dickscheid
, Karl Zilles
, Katrin Amunts
, Nadim Joni Shah
, Uwe Pietrzyk
:
Automatic identification of gray and white matter components in polarized light imaging. NeuroImage 59(2): 1338-1347 (2012) - [c5]Melanie Kleiner
, Markus Axer, David Gräßel, Julia Reckfort, Uwe Pietrzyk, Katrin Amunts, Timo Dickscheid
:
Classification of Ambiguous Nerve Fiber Orientations in 3D Polarized Light Imaging. MICCAI (1) 2012: 206-213 - 2011
- [b1]Timo Dickscheid:
Robust Wide-Baseline Stereo Matching for Sparsely Textured Scenes. University of Bonn, 2011, pp. 1-99 - [j2]Markus Axer
, David Gräßel, Melanie Kleiner
, Jürgen Dammers
, Timo Dickscheid
, Julia Reckfort, Tim Hütz, Björn Eiben
, Uwe Pietrzyk, Karl Zilles
, Katrin Amunts
:
High-Resolution Fiber Tract Reconstruction in the Human Brain by Means of Three-Dimensional Polarized Light Imaging. Frontiers Neuroinformatics 5: 34 (2011) - [j1]Timo Dickscheid
, Falko Schindler, Wolfgang Förstner:
Coding Images with Local Features. Int. J. Comput. Vis. 94(2): 154-174 (2011)
2000 – 2009
- 2009
- [c4]Wolfgang Förstner, Timo Dickscheid
, Falko Schindler:
On the Completeness of Coding with Image Features. BMVC 2009: 1-12 - [c3]Wolfgang Förstner, Timo Dickscheid
, Falko Schindler:
Detecting interpretable and accurate scale-invariant keypoints. ICCV 2009: 2256-2263 - [c2]Timo Dickscheid
, Wolfgang Förstner:
Evaluating the Suitability of Feature Detectors for Automatic Image Orientation Systems. ICVS 2009: 305-314 - 2005
- [c1]Dietrich Paulus, Timo Dickscheid
, K.-D. Berg:
Design of AN IMage AnaLysis System. CAMP 2005: 147-152
Coauthor Index
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last updated on 2024-07-29 22:26 CEST by the dblp team
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