Henrik Skibbe

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 20

Top Venues

CoRR

IEEE Trans. Medical Imaging

Frontiers Neuroinformatics

J. Math. Imaging Vis.

University of Freiburg, Germany (PHD)

Education History

University of Freiburg, Germany

PHD

Publications

Muhammad Febrian Rachmadi, Michal Byra, Henrik Skibbe
A new family of instance-level loss functions for improving instance-level segmentation and detection of white matter hyperintensities in routine clinical brain MRI. Comput. Biol. Medicine 174 (2024)
Charissa Poon, Muhammad Febrian Rachmadi, Michal Byra, Matthias Schlachter, Binbin Xu, Tomomi Shimogori, Henrik Skibbe
An Automated Pipeline to Create an Atlas of in Situ Hybridization Gene Expression Data in the Adult Marmoset Brain. ISBI (2023)
Charissa Poon, Muhammad Febrian Rachmadi, Michal Byra, Matthias Schlachter, Binbin Xu, Tomomi Shimogori, Henrik Skibbe
An automated pipeline to create an atlas of in situ hybridization gene expression data in the adult marmoset brain. CoRR (2023)
Febrian Febrian Rachmadi, Charissa Poon, Henrik Skibbe
Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function. MIDL (2023)
Henrik Skibbe, Michal Byra, Akiya Watakabe, Tetsuo Yamamori, Marco Reisert
PatchMorph: A Stochastic Deep Learning Approach for Unsupervised 3D Brain Image Registration with Small Patches. CoRR (2023)
Michal Byra, Charissa Poon, Tomomi Shimogori, Henrik Skibbe
Implicit Neural Representations for Joint Decomposition and Registration of Gene Expression Images in the Marmoset Brain. MICCAI (10) (2023)
Michal Byra, Charissa Poon, Tomomi Shimogori, Henrik Skibbe
Implicit neural representations for joint decomposition and registration of gene expression images in the marmoset brain. CoRR (2023)
Muhammad Febrian Rachmadi, Charissa Poon, Henrik Skibbe
Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function. CoRR (2023)
Michal Byra, Muhammad Febrian Rachmadi, Henrik Skibbe
Few-shot medical image classification with simple shape and texture text descriptors using vision-language models. CoRR (2023)
Carlos Enrique Gutierrez, Henrik Skibbe, Hugo Musset, Kenji Doya
A Spiking Neural Network Builder for Systematic Data-to-Model Workflow. Frontiers Neuroinformatics 16 (2022)
Marco Reisert, Maximilian Frederik Russe, Samer Elsheikh, Elias Kellner, Henrik Skibbe
Deep Neural Patchworks: Coping with Large Segmentation Tasks. CoRR (2022)
Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Rizal Maulana, Joanna M. Wardlaw, Stephen D. Makin, Henrik Skibbe
Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution. PRIME@MICCAI (2021)
Henrik Skibbe, Marco Reisert, Ken Nakae, Akiya Watakabe, Junichi Hata, Hiroaki Mizukami, Hideyuki Okano, Tetsuo Yamamori, Shin Ishii
PAT - Probabilistic Axon Tracking for Densely Labeled Neurons in Large 3-D Micrographs. IEEE Trans. Medical Imaging 38 (1) (2019)
Henrik Skibbe, Akiya Watakabe, Ken Nakae, Carlos Enrique Gutierrez, Hiromichi Tsukada, Junichi Hata, Takashi Kawase, Rui Gong, Alexander Woodward, Kenji Doya, Hideyuki Okano, Tetsuo Yamamori, Shin Ishii
MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography. CoRR (2019)
Marco Reisert, Volker A. Coenen, Christoph P. Kaller, Karl Egger, Henrik Skibbe
HAMLET: Hierarchical Harmonic Filters for Learning Tracts from Diffusion MRI. CoRR (2018)
Lidia Konopleva, Kamil A. Il'yasov, Henrik Skibbe, Valerij G. Kiselev, Elias Kellner, Bibek Dhital, Marco Reisert
Modelfree global tractography. NeuroImage 174 (2018)
Henrik Skibbe, Marco Reisert
Spherical Tensor Algebra: A Toolkit for 3D Image Processing. J. Math. Imaging Vis. 58 (3) (2017)
Kourosh Meshgi, Shin-ichi Maeda, Shigeyuki Oba, Henrik Skibbe, Yu-zhe Li, Shin Ishii
An occlusion-aware particle filter tracker to handle complex and persistent occlusions. Comput. Vis. Image Underst. 150 (2016)
Marco Reisert, B. Dihtal, Elias Kellner, Henrik Skibbe, Christoph P. Kaller
Symmetric Wiener Processes for Probabilistic Tractography and Connectivity Estimation. MICCAI (1) (2015)
Henrik Skibbe, Marco Reisert, Shin-ichi Maeda, Masanori Koyama, Shigeyuki Oba, Kei Ito, Shin Ishii
Efficient Monte Carlo Image Analysis for the Location of Vascular Entity. IEEE Trans. Medical Imaging 34 (2) (2015)
Henrik Skibbe, Marco Reisert, Shin Ishii
Efficient Metropolis-Hasting Image Analysis for the Location of Vascular Entity. GCPR (2014)
Kun Liu, Henrik Skibbe, Thorsten Schmidt, Thomas Blein, Klaus Palme, Thomas Brox, Olaf Ronneberger
Rotation-Invariant HOG Descriptors Using Fourier Analysis in Polar and Spherical Coordinates. Int. J. Comput. Vis. 106 (3) (2014)
Marco Reisert, Henrik Skibbe
Fiber Continuity Based Spherical Deconvolution in Spherical Harmonic Domain. MICCAI (3) (2013)
Marco Reisert, Henrik Skibbe, Valerij G. Kiselev
The Diffusion Dictionary in the Human Brain Is Short: Rotation Invariant Learning of Basis Functions. CDMRI/MMBC@MICCAI (2013)
Henrik Skibbe, Marco Reisert
Rotation Covariant Image Processing for Biomedical Applications. Comput. Math. Methods Medicine 2013 (2013)
Henrik Skibbe, Marco Reisert, Thorsten Schmidt, Thomas Brox, Olaf Ronneberger, Hans Burkhardt
Fast Rotation Invariant 3D Feature Computation Utilizing Efficient Local Neighborhood Operators. IEEE Trans. Pattern Anal. Mach. Intell. 34 (8) (2012)
Henrik Skibbe, Marco Reisert
Circular Fourier-HOG features for rotation invariant object detection in biomedical images. ISBI (2012)
Marco Reisert, Henrik Skibbe
Left-Invariant Diffusion on the Motion Group in terms of the Irreducible Representations of SO(3) CoRR (2012)
Marco Reisert, Henrik Skibbe, Valerij G. Kiselev
Fiber Density Estimation by Tensor Divergence. MICCAI (2) (2012)
Henrik Skibbe, Marco Reisert, Hans Burkhardt
SHOG - Spherical HOG Descriptors for Rotation Invariant 3D Object Detection. DAGM-Symposium (2011)
Henrik Skibbe, Marco Reisert, Hans Burkhardt
Gaussian Neighborhood Descriptors for Brain Segmentation. MVA (2011)
Henrik Skibbe, Marco Reisert, Olaf Ronneberger, Hans Burkhardt
Spherical Bessel Filter for 3D object detection. ISBI (2011)
Marco Reisert, Henrik Skibbe
Steerable Deconvolution Feature Detection as an Inverse Problem. DAGM-Symposium (2011)
Kun Liu, Henrik Skibbe, Thorsten Schmidt, Thomas Blein, Klaus Palme, Olaf Ronneberger
3D Rotation-Invariant Description from Tensor Operation on Spherical HOG Field. BMVC (2011)
Henrik Skibbe, Marco Reisert
Dense rotation invariant brain pyramids for automated human brain parcellation. GI-Jahrestagung (2011)
Henrik Skibbe, Marco Reisert, Thorsten Schmidt, Klaus Palme, Olaf Ronneberger, Hans Burkhardt
3D Object Detection Using a Fast Voxel-Wise Local Spherical Fourier Tensor Transformation. DAGM-Symposium (2010)
Henrik Skibbe, Marco Reisert, Olaf Ronneberger, Hans Burkhardt
Increasing the Dimension of Creativity in Rotation Invariant Feature Design Using 3D Tensorial Harmonics. DAGM-Symposium (2009)
Henrik Skibbe, Alexandra Teynor, Hans Burkhardt
Unsupervised Learning of Characteristic Object Parts from Videos. MVA (2009)
Henrik Skibbe, Qing Wang, Olaf Ronneberger, Hans Burkhardt, Marco Reisert
Fast computation of 3D spherical Fourier harmonic descriptors - a complete orthonormal basis for a rotational invariant representation of three-dimensional objects. ICCV Workshops (2009)
Zhe-Ming Lu, Henrik Skibbe, Hans Burkhardt
Image Retrieval Based on a Multipurpose Watermarking Scheme. KES (2) (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Henrik Skibbe