Timo Dickscheid

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 28

Top Venues

University of Bonn (PHD)

Education History

University of Bonn

PHD

Publications

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 (2024)
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 (2024)
Ahmed Nebli, Christian Schiffer, Meiqi Niu, Nicola Palomero-Gallagher, Katrin Amunts, Timo Dickscheid
Generative Modelling of Cortical Receptor Distributions from Cytoarchitectonic Images in the Macaque Brain. Neuroinformatics 22 (3) (2024)
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 (2023)
Jan-Oliver Kropp, Christian Schiffer, Katrin Amunts, Timo Dickscheid
Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in the Human Brain. CoRR (2023)
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)
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 (2022)
Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
Contour proposal networks for biomedical instance segmentation. Medical Image Anal. 77 (2022)
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)
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, 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 (2022)
Esteban Vaca, Miriam Menzel, Katrin Amunts, Markus Axer, Timo Dickscheid
GORDA: Graph-based ORientation Distribution Analysis of SLI scatterometry Patterns of Nerve Fibres. CoRR (2022)
Christian Schiffer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
Contrastive Representation Learning For Whole Brain Cytoarchitectonic Mapping In Histological Human Brain Sections. ISBI (2021)
Christian Schiffer, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural Networks. MICCAI (8) (2021)
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 (2021)
Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
Contour Proposal Networks for Biomedical Instance Segmentation. CoRR (2021)
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 (2021)
Christian Schiffer, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
2D histology meets 3D topology: Cytoarchitectonic brain mapping with Graph Neural Networks. CoRR (2021)
Christian Schiffer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
Contrastive Representation Learning for Whole Brain Cytoarchitectonic Mapping in Histological Human Brain Sections. CoRR (2020)
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 (2020)
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)
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)
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)
Hannah Spitzer, Kai Kiwitz, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks. CoRR (2018)
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)
Hannah Spitzer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
Parcellation of Visual Cortex on high-resolution histological Brain Sections using Convolutional Neural Networks. CoRR (2017)
Hannah Spitzer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
Parcellation of visual cortex on high-resolution histological brain sections using convolutional neural networks. ISBI (2017)
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 (2016)
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)
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)
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) (2012)
Timo Dickscheid, Falko Schindler, Wolfgang Förstner
Coding Images with Local Features. Int. J. Comput. Vis. 94 (2) (2011)
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 (2011)
Wolfgang Förstner, Timo Dickscheid, Falko Schindler
On the Completeness of Coding with Image Features. BMVC (2009)
Wolfgang Förstner, Timo Dickscheid, Falko Schindler
Detecting interpretable and accurate scale-invariant keypoints. ICCV (2009)
Timo Dickscheid, Wolfgang Förstner
Evaluating the Suitability of Feature Detectors for Automatic Image Orientation Systems. ICVS (2009)
Dietrich Paulus, Timo Dickscheid, K.-D. Berg
Design of AN IMage AnaLysis System. CAMP (2005)

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Publication Activity (10 Years)

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Timo Dickscheid