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Disambiguation of "Dickscheid, Timo"

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A High-Resolution Model of the Human Entorhinal Cortex in the 'BigBrain' - Use Case for Machine Learning and 3D Analyses.

, , , , , , , , , and . BrainComp, volume 12339 of Lecture Notes in Computer Science, page 3-21. Springer, (2019)

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Timo Dickscheid

Diana Timova

Nuala Patricia Timoney

Wladimir Timofiewitsch

Hassan Timouyas

 

Other publications of authors with the same name

Evaluating the Suitability of Feature Detectors for Automatic Image Orientation Systems, and . Computer Vision Systems, page 305--314. Berlin, Heidelberg, Springer Berlin Heidelberg, (2009)High-Resolution Fiber Tract Reconstruction in the Human Brain by Means of Three-Dimensional Polarized Light Imaging, , , , , , , , , and 1 other author(s). Frontiers in Neuroinformatics, (2011)Application of Deep Learning for Human Visual Cortex Parcellation in Histological Sections, , and . (2017)GORDA: Graph-Based Orientation Distribution Analysis of SLI Scatterometry Patterns of Nerve Fibres., , , , and . ISBI, page 1-5. IEEE, (2022)Computer Analysis of Ornaments, , , and . Electronic Imaging & the Visual Arts, page 129-134. Florence, Pitagora Editrice Bologna, (2005)Benchmarking Automatic Bundle Adjustment Results, , and . 21st Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS), page 7--12, Part B3a. Beijing, China, (2008)3D reconstruction of cell distributions in the human subthalamic nucleus at 1 micron resolution, , , and . (June 2016)On the Quality of Automatic Relative Orientation Procedures, , and . 21st Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS), page 37--42 Part B3b-1. Beijing, China, (2008)Deep Learning-Supported Cytoarchitectonic Mapping of the Human Lateral Geniculate Body in the BigBrain., , , , , and . BrainComp, volume 12339 of Lecture Notes in Computer Science, page 22-32. Springer, (2019)Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy Images., , , and . Cell Segmentation Challenge @ NeurIPS, volume 212 of Proceedings of Machine Learning Research, page 1-12. PMLR, (2022)