Timo Dickscheid

43 papers A* 1A 1C 2Journal 25Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cytoarchitecture in Words: Weakly Supervised Vision-Language Modeling for Human Brain Microscopy. CoRR Matthew Sutton, Katrin Amunts, Timo Dickscheid, Christian Schiffer
2026	J	`jnl`	Depth-Wise Representation Development Under Blockwise Self-Supervised Learning for Video Vision Transformers. CoRR Jonas Römer, Timo Dickscheid
2025	J	`jnl`	CytoNet: A Foundation Model for the Human Cerebral Cortex. CoRR Christian Schiffer, Zeynep Boztoprak, Jan-Oliver Kropp, Julia Thönnißen, Katia Berr, Hannah Spitzer, Katrin Amunts, Timo Dickscheid
2025	J	`jnl`	From Fibers to Cells: Fourier-Based Registration Enables Virtual Cresyl Violet Staining From 3D Polarized Light Imaging. CoRR Alexander Oberstraß, Esteban Vaca, Eric Upschulte, Meiqi Niu, Nicola Palomero-Gallagher, David Gräßel, Christian Schiffer, Markus Axer, Katrin Amunts, Timo Dickscheid
2024	—	`conf`	Analyzing Regional Organization of The Human Hippocampus in 3D-PLI Using Contrastive Learning and Geometric Unfolding. ISBI Alexander Oberstraß, Jordan DeKraker, Nicola Palomero-Gallagher, Sascha E. A. Muenzing, Alan C. Evans, Markus Axer, Katrin Amunts, Timo Dickscheid
2024	J	`jnl`	Analyzing Regional Organization of the Human Hippocampus in 3D-PLI Using Contrastive Learning and Geometric Unfolding. CoRR Alexander Oberstraß, Jordan DeKraker, Nicola Palomero-Gallagher, Sascha E. A. Muenzing, Alan C. Evans, Markus Axer, Katrin Amunts, Timo Dickscheid
2024	—	`conf`	Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in The Human Brain. ISBI Jan-Oliver Kropp, Christian Schiffer, Katrin Amunts, Timo Dickscheid
2024	J	`jnl`	Generative Modelling of Cortical Receptor Distributions from Cytoarchitectonic Images in the Macaque Brain. Neuroinformatics Ahmed Nebli, Christian Schiffer, Meiqi Niu, Nicola Palomero-Gallagher, Katrin Amunts, Timo Dickscheid
2024	J	`jnl`	Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI. CoRR Alexander Oberstraß, Sascha E. A. Muenzing, Meiqi Niu, Nicola Palomero-Gallagher, Christian Schiffer, Markus Axer, Katrin Amunts, Timo Dickscheid
2023	J	`jnl`	Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in the Human Brain. CoRR Jan-Oliver Kropp, Christian Schiffer, Katrin Amunts, Timo Dickscheid
2023	J	`jnl`	The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions. CoRR 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
2022	J	`jnl`	Brain simulation as a cloud service: The Virtual Brain on EBRAINS. NeuroImage 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
2022	J	`jnl`	Contour proposal networks for biomedical instance segmentation. Medical Image Anal. Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
2022	J	`jnl`	Cytoarchitecture, probability maps and segregation of the human insula. NeuroImage Julian Quabs, Svenja Caspers, Claudia Schöne, Hartmut Mohlberg, Sebastian Bludau, Timo Dickscheid, Katrin Amunts
2022	—	`conf`	GORDA: Graph-Based Orientation Distribution Analysis of SLI Scatterometry Patterns of Nerve Fibres. ISBI Esteban Vaca, Miriam Menzel, Katrin Amunts, Markus Axer, Timo Dickscheid
2022	J	`jnl`	GORDA: Graph-based ORientation Distribution Analysis of SLI scatterometry Patterns of Nerve Fibres. CoRR Esteban Vaca, Miriam Menzel, Katrin Amunts, Markus Axer, Timo Dickscheid
2022	—	`conf`	Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy Images. Cell Segmentation Challenge @ NeurIPS Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
2021	—	`conf`	2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural Networks. MICCAI (8) Christian Schiffer, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
2021	J	`jnl`	2D histology meets 3D topology: Cytoarchitectonic brain mapping with Graph Neural Networks. CoRR Christian Schiffer, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
2021	J	`jnl`	Brain Modelling as a Service: The Virtual Brain on EBRAINS. CoRR 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
2021	J	`jnl`	Contour Proposal Networks for Biomedical Instance Segmentation. CoRR Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
2021	—	`conf`	Contrastive Representation Learning For Whole Brain Cytoarchitectonic Mapping In Histological Human Brain Sections. ISBI Christian Schiffer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
2021	J	`jnl`	Convolutional neural networks for cytoarchitectonic brain mapping at large scale. NeuroImage Christian Schiffer, Hannah Spitzer, Kai Kiwitz, Nina Unger, Konrad Wagstyl, Alan C. Evans, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
2020	J	`jnl`	Contrastive Representation Learning for Whole Brain Cytoarchitectonic Mapping in Histological Human Brain Sections. CoRR Christian Schiffer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
2020	J	`jnl`	Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale. CoRR Christian Schiffer, Hannah Spitzer, Kai Kiwitz, Nina Unger, Konrad Wagstyl, Alan C. Evans, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
2019	—	`conf`	A High-Resolution Model of the Human Entorhinal Cortex in the 'BigBrain' - Use Case for Machine Learning and 3D Analyses. BrainComp Sabrina Behuet, Sebastian Bludau, Olga Kedo, Christian Schiffer, Timo Dickscheid, Andrea Brandstetter, Philippe Massicotte, Mona Omidyeganeh, Alan C. Evans, Katrin Amunts
2019	—	`conf`	Deep Learning-Supported Cytoarchitectonic Mapping of the Human Lateral Geniculate Body in the BigBrain. BrainComp Andrea Brandstetter, Najoua Bolakhrif, Christian Schiffer, Timo Dickscheid, Hartmut Mohlberg, Katrin Amunts
2019	C	`conf`	IO Challenges for Human Brain Atlasing Using Deep Learning Methods - An In-Depth Analysis. PDP Lena Oden, Christian Schiffer, Hannah Spitzer, Timo Dickscheid, Dirk Pleiter
2018	—	`conf`	Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks. MICCAI (3) Hannah Spitzer, Kai Kiwitz, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
2018	J	`jnl`	Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks. CoRR Hannah Spitzer, Kai Kiwitz, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
2017	J	`jnl`	Parcellation of Visual Cortex on high-resolution histological Brain Sections using Convolutional Neural Networks. CoRR Hannah Spitzer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
2017	—	`conf`	Parcellation of visual cortex on high-resolution histological brain sections using convolutional neural networks. ISBI Hannah Spitzer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
2016	—	`conf`	Morphing Image Masks for Stacked Histological Sections Using Laplace's Equation. Bildverarbeitung für die Medizin Martin Schober, Markus Axer, Marcel Huysegoms, Nicole Schubert, Katrin Amunts, Timo Dickscheid
2016	J	`jnl`	Spatial normalization of brain images and beyond. Medical Image Anal. 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
2012	J	`jnl`	Automatic identification of gray and white matter components in polarized light imaging. NeuroImage Jürgen Dammers, Lukas Breuer, Markus Axer, Melanie Kleiner, Björn Eiben, David Gräßel, Timo Dickscheid, Karl Zilles, Katrin Amunts, Nadim Joni Shah, Uwe Pietrzyk
2012	—	`conf`	Classification of Ambiguous Nerve Fiber Orientations in 3D Polarized Light Imaging. MICCAI (1) Melanie Kleiner, Markus Axer, David Gräßel, Julia Reckfort, Uwe Pietrzyk, Katrin Amunts, Timo Dickscheid
2011	J	`jnl`	Coding Images with Local Features. Int. J. Comput. Vis. Timo Dickscheid, Falko Schindler, Wolfgang Förstner
2011	J	`jnl`	High-Resolution Fiber Tract Reconstruction in the Human Brain by Means of Three-Dimensional Polarized Light Imaging. Frontiers Neuroinformatics Markus Axer, David Gräßel, Melanie Kleiner, Jürgen Dammers, Timo Dickscheid, Julia Reckfort, Tim Hütz, Björn Eiben, Uwe Pietrzyk, Karl Zilles, Katrin Amunts
2011	—	`—`	Robust Wide-Baseline Stereo Matching for Sparsely Textured Scenes. Timo Dickscheid
2009	A*	`conf`	Detecting interpretable and accurate scale-invariant keypoints. ICCV Wolfgang Förstner, Timo Dickscheid, Falko Schindler
2009	C	`conf`	Evaluating the Suitability of Feature Detectors for Automatic Image Orientation Systems. ICVS Timo Dickscheid, Wolfgang Förstner
2009	A	`conf`	On the Completeness of Coding with Image Features. BMVC Wolfgang Förstner, Timo Dickscheid, Falko Schindler
2005	—	`conf`	Design of AN IMage AnaLysis System. CAMP Dietrich Paulus, Timo Dickscheid, K.-D. Berg