Design of AN IMage AnaLysis System. - Dietrich Paulus; Timo Dickscheid; K.-D. Berg (CAMP, 2005)

On the Completeness of Coding with Image Features. - Wolfgang Förstner; Timo Dickscheid; Falko Schindler (BMVC, 2009)

Detecting interpretable and accurate scale-invariant keypoints. - Wolfgang Förstner; Timo Dickscheid; Falko Schindler (ICCV, 2009)

Evaluating the Suitability of Feature Detectors for Automatic Image Orientation Systems. - Timo Dickscheid; Wolfgang Förstner (ICVS, 2009)

High-Resolution Fiber Tract Reconstruction in the Human Brain by Means of Three-Dimensional Polarized Light Imaging. - Markus Axer; David Gräßel; Melanie Kleiner; Jürgen Dammers; Timo Dickscheid; Julia Reckfort; Tim Hütz; Björn Eiben; Uwe Pietrzyk; Karl Zilles; Katrin Amunts (Frontiers Neuroinformatics, 2011)

Coding Images with Local Features. - Timo Dickscheid; Falko Schindler; Wolfgang Förstner (Int. J. Comput. Vis., 2011)

Robust Wide-Baseline Stereo Matching for Sparsely Textured Scenes. - Timo Dickscheid (2011)

Classification of Ambiguous Nerve Fiber Orientations in 3D Polarized Light Imaging. - Melanie Kleiner; Markus Axer; David Gräßel; Julia Reckfort; Uwe Pietrzyk; Katrin Amunts; Timo Dickscheid (MICCAI (1), 2012)

Automatic identification of gray and white matter components in polarized light imaging. - Jürgen Dammers; Lukas Breuer; Markus Axer; Melanie Kleiner; Björn Eiben; David Gräßel; Timo Dickscheid; Karl Zilles; Katrin Amunts; Nadim Joni Shah; Uwe Pietrzyk (NeuroImage, 2012)

Morphing Image Masks for Stacked Histological Sections Using Laplace's Equation. - Martin Schober; Markus Axer; Marcel Huysegoms; Nicole Schubert; Katrin Amunts; Timo Dickscheid (Bildverarbeitung für die Medizin, 2016)

Spatial normalization of brain images and beyond. - Jean-François Mangin; Jessica Lebenberg; Sandrine Lefranc; Nicole Labra; Guillaume Auzias; M. Labit; Miguel Guevara 003; Hartmut Mohlberg; Pauline Roca; Pamela Guevara; Jessica Dubois; François Leroy; et al. (Medical Image Anal., 2016)

Parcellation of visual cortex on high-resolution histological brain sections using convolutional neural networks. - Hannah Spitzer; Katrin Amunts; Stefan Harmeling; Timo Dickscheid (ISBI, 2017)

Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks. - Hannah Spitzer; Kai Kiwitz; Katrin Amunts; Stefan Harmeling; Timo Dickscheid (MICCAI (3), 2018)

A High-Resolution Model of the Human Entorhinal Cortex in the 'BigBrain' - Use Case for Machine Learning and 3D Analyses. - Sabrina Behuet; Sebastian Bludau; Olga Kedo; Christian Schiffer; Timo Dickscheid; Andrea Brandstetter; Philippe Massicotte; Mona Omidyeganeh; Alan C. Evans; Katrin Amunts (BrainComp, 2019)

Deep Learning-Supported Cytoarchitectonic Mapping of the Human Lateral Geniculate Body in the BigBrain. - Andrea Brandstetter; Najoua Bolakhrif; Christian Schiffer; Timo Dickscheid; Hartmut Mohlberg; Katrin Amunts (BrainComp, 2019)

IO Challenges for Human Brain Atlasing Using Deep Learning Methods - An In-Depth Analysis. - Lena Oden; Christian Schiffer; Hannah Spitzer; Timo Dickscheid; Dirk Pleiter (PDP, 2019)

Contrastive Representation Learning For Whole Brain Cytoarchitectonic Mapping In Histological Human Brain Sections. - Christian Schiffer; Katrin Amunts; Stefan Harmeling; Timo Dickscheid (ISBI, 2021)

2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural Networks. - Christian Schiffer; Stefan Harmeling; Katrin Amunts; Timo Dickscheid (MICCAI (8), 2021)

Brain Modelling as a Service: The Virtual Brain on EBRAINS. - 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; et al. (CoRR, 2021)

Convolutional neural networks for cytoarchitectonic brain mapping at large scale. - Christian Schiffer; Hannah Spitzer; Kai Kiwitz; Nina Unger; Konrad Wagstyl; Alan C. Evans; Stefan Harmeling; Katrin Amunts; Timo Dickscheid (NeuroImage, 2021)

GORDA: Graph-Based Orientation Distribution Analysis of SLI Scatterometry Patterns of Nerve Fibres. - Esteban Vaca; Miriam Menzel; Katrin Amunts; Markus Axer; Timo Dickscheid (ISBI, 2022)

Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy Images. - Eric Upschulte; Stefan Harmeling; Katrin Amunts; Timo Dickscheid (Cell Segmentation Challenge @ NeurIPS, 2022)

Contour proposal networks for biomedical instance segmentation. - Eric Upschulte; Stefan Harmeling; Katrin Amunts; Timo Dickscheid (Medical Image Anal., 2022)

Cytoarchitecture, probability maps and segregation of the human insula. - Julian Quabs; Svenja Caspers; Claudia Schöne; Hartmut Mohlberg; Sebastian Bludau; Timo Dickscheid; Katrin Amunts (NeuroImage, 2022)

Brain simulation as a cloud service: The Virtual Brain on EBRAINS. - 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; et al. (NeuroImage, 2022)

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions. - Jun Ma 016; Ronald Xie; Shamini Ayyadhury; Cheng Ge; Anubha Gupta; Ritu Gupta; Song Gu; Yao Zhang 010; Gihun Lee; Joonkee Kim; Wei Lou; Haofeng Li; et al. (CoRR, 2023)

bids-specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2023)

Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in The Human Brain. - Jan-Oliver Kropp; Christian Schiffer; Katrin Amunts; Timo Dickscheid (ISBI, 2024)

Analyzing Regional Organization of The Human Hippocampus in 3D-PLI Using Contrastive Learning and Geometric Unfolding. - Alexander Oberstraß; Jordan DeKraker; Nicola Palomero-Gallagher; Sascha E. A. Muenzing; Alan C. Evans; Markus Axer; Katrin Amunts; Timo Dickscheid (ISBI, 2024)

Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI. - Alexander Oberstraß; Sascha E. A. Muenzing; Meiqi Niu; Nicola Palomero-Gallagher; Christian Schiffer; Markus Axer; Katrin Amunts; Timo Dickscheid (CoRR, 2024)

Generative Modelling of Cortical Receptor Distributions from Cytoarchitectonic Images in the Macaque Brain. - Ahmed Nebli; Christian Schiffer; Meiqi Niu; Nicola Palomero-Gallagher; Katrin Amunts; Timo Dickscheid (Neuroinformatics, 2024)

The Brain Imaging Data Structure (BIDS) Specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2024)

From Fibers to Cells: Fourier-Based Registration Enables Virtual Cresyl Violet Staining From 3D Polarized Light Imaging. - Alexander Oberstraß; Esteban Vaca; Eric Upschulte; Meiqi Niu; Nicola Palomero-Gallagher; David Gräßel; Christian Schiffer; Markus Axer; Katrin Amunts; Timo Dickscheid (CoRR, 2025)