Henrik Skibbe

Affiliations:
  • RIKEN Center for Brain Science, Wako, Japan


According to our database1, Henrik Skibbe authored at least 38 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
PatchMorph: A Stochastic Deep Learning Approach for Unsupervised 3D Brain Image Registration with Small Patches.
CoRR, 2023

Few-shot medical image classification with simple shape and texture text descriptors using vision-language models.
CoRR, 2023

Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function.
CoRR, 2023

Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function.
Proceedings of the Medical Imaging with Deep Learning, 2023

Implicit Neural Representations for Joint Decomposition and Registration of Gene Expression Images in the Marmoset Brain.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

An Automated Pipeline to Create an Atlas of in Situ Hybridization Gene Expression Data in the Adult Marmoset Brain.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
A Spiking Neural Network Builder for Systematic Data-to-Model Workflow.
Frontiers Neuroinformatics, 2022

Deep Neural Patchworks: Coping with Large Segmentation Tasks.
CoRR, 2022

2021
Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

2019
PAT - Probabilistic Axon Tracking for Densely Labeled Neurons in Large 3-D Micrographs.
IEEE Trans. Medical Imaging, 2019

MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography.
CoRR, 2019

2018
Modelfree global tractography.
NeuroImage, 2018

HAMLET: Hierarchical Harmonic Filters for Learning Tracts from Diffusion MRI.
CoRR, 2018

2017
Spherical Tensor Algebra: A Toolkit for 3D Image Processing.
J. Math. Imaging Vis., 2017

2016
An occlusion-aware particle filter tracker to handle complex and persistent occlusions.
Comput. Vis. Image Underst., 2016

2015
Efficient Monte Carlo Image Analysis for the Location of Vascular Entity.
IEEE Trans. Medical Imaging, 2015

Symmetric Wiener Processes for Probabilistic Tractography and Connectivity Estimation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2014
Rotation-Invariant HOG Descriptors Using Fourier Analysis in Polar and Spherical Coordinates.
Int. J. Comput. Vis., 2014

Efficient Metropolis-Hasting Image Analysis for the Location of Vascular Entity.
Proceedings of the Pattern Recognition - 36th German Conference, 2014

2013
Spherical tensor algebra for biomedical image analysis = Sphärische Tensor Algebra für die Biomedizinische Bildanalyse.
PhD thesis, 2013

Rotation Covariant Image Processing for Biomedical Applications.
Comput. Math. Methods Medicine, 2013

The Diffusion Dictionary in the Human Brain Is Short: Rotation Invariant Learning of Basis Functions.
Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013

Fiber Continuity Based Spherical Deconvolution in Spherical Harmonic Domain.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012
Fast Rotation Invariant 3D Feature Computation Utilizing Efficient Local Neighborhood Operators.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Left-Invariant Diffusion on the Motion Group in terms of the Irreducible Representations of SO(3)
CoRR, 2012

Fiber Density Estimation by Tensor Divergence.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Circular Fourier-HOG features for rotation invariant object detection in biomedical images.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Gaussian Neighborhood Descriptors for Brain Segmentation.
Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2011), 2011

Spherical Bessel Filter for 3D object detection.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Dense rotation invariant brain pyramids for automated human brain parcellation.
Proceedings of the 41. Jahrestagung der Gesellschaft für Informatik, 2011

SHOG - Spherical HOG Descriptors for Rotation Invariant 3D Object Detection.
Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

Steerable Deconvolution Feature Detection as an Inverse Problem.
Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

3D Rotation-Invariant Description from Tensor Operation on Spherical HOG Field.
Proceedings of the British Machine Vision Conference, 2011

2010
3D Object Detection Using a Fast Voxel-Wise Local Spherical Fourier Tensor Transformation.
Proceedings of the Pattern Recognition, 2010

2009
Unsupervised Learning of Characteristic Object Parts from Videos.
Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2009), 2009

Fast computation of 3D spherical Fourier harmonic descriptors - a complete orthonormal basis for a rotational invariant representation of three-dimensional objects.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Increasing the Dimension of Creativity in Rotation Invariant Feature Design Using 3D Tensorial Harmonics.
Proceedings of the Pattern Recognition, 2009

2005
Image Retrieval Based on a Multipurpose Watermarking Scheme.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005


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