Image Retrieval Based on a Multipurpose Watermarking Scheme. - Zhe-Ming Lu 001; Henrik Skibbe; Hans Burkhardt (KES (2), 2005)

Increasing the Dimension of Creativity in Rotation Invariant Feature Design Using 3D Tensorial Harmonics. - Henrik Skibbe; Marco Reisert; Olaf Ronneberger; Hans Burkhardt (DAGM-Symposium, 2009)

Fast computation of 3D spherical Fourier harmonic descriptors - a complete orthonormal basis for a rotational invariant representation of three-dimensional objects. - Henrik Skibbe; Qing Wang 052; Olaf Ronneberger; Hans Burkhardt; Marco Reisert (ICCV Workshops, 2009)

Unsupervised Learning of Characteristic Object Parts from Videos. - Henrik Skibbe; Alexandra Teynor; Hans Burkhardt (MVA, 2009)

3D Object Detection Using a Fast Voxel-Wise Local Spherical Fourier Tensor Transformation. - Henrik Skibbe; Marco Reisert; Thorsten Schmidt; Klaus Palme; Olaf Ronneberger; Hans Burkhardt (DAGM-Symposium, 2010)

3D Rotation-Invariant Description from Tensor Operation on Spherical HOG Field. - Kun Liu 003; Henrik Skibbe; Thorsten Schmidt; Thomas Blein; Klaus Palme; Olaf Ronneberger (BMVC, 2011)

Steerable Deconvolution Feature Detection as an Inverse Problem. - Marco Reisert; Henrik Skibbe (DAGM-Symposium, 2011)

SHOG - Spherical HOG Descriptors for Rotation Invariant 3D Object Detection. - Henrik Skibbe; Marco Reisert; Hans Burkhardt (DAGM-Symposium, 2011)

Dense rotation invariant brain pyramids for automated human brain parcellation. - Henrik Skibbe; Marco Reisert (GI-Jahrestagung, 2011)

Spherical Bessel Filter for 3D object detection. - Henrik Skibbe; Marco Reisert; Olaf Ronneberger; Hans Burkhardt (ISBI, 2011)

Gaussian Neighborhood Descriptors for Brain Segmentation. - Henrik Skibbe; Marco Reisert; Hans Burkhardt (MVA, 2011)

Circular Fourier-HOG features for rotation invariant object detection in biomedical images. - Henrik Skibbe; Marco Reisert (ISBI, 2012)

Fiber Density Estimation by Tensor Divergence. - Marco Reisert; Henrik Skibbe; Valerij G. Kiselev (MICCAI (2), 2012)

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

Fast Rotation Invariant 3D Feature Computation Utilizing Efficient Local Neighborhood Operators. - Henrik Skibbe; Marco Reisert; Thorsten Schmidt; Thomas Brox; Olaf Ronneberger; Hans Burkhardt (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Fiber Continuity Based Spherical Deconvolution in Spherical Harmonic Domain. - Marco Reisert; Henrik Skibbe (MICCAI (3), 2013)

The Diffusion Dictionary in the Human Brain Is Short: Rotation Invariant Learning of Basis Functions. - Marco Reisert; Henrik Skibbe; Valerij G. Kiselev (CDMRI/MMBC@MICCAI, 2013)

Rotation Covariant Image Processing for Biomedical Applications. - Henrik Skibbe; Marco Reisert (Comput. Math. Methods Medicine, 2013)

Spherical tensor algebra for biomedical image analysis = Sphärische Tensor Algebra für die Biomedizinische Bildanalyse. - Henrik Skibbe (2013)

Efficient Metropolis-Hasting Image Analysis for the Location of Vascular Entity. - Henrik Skibbe; Marco Reisert; Shin Ishii (GCPR, 2014)

Rotation-Invariant HOG Descriptors Using Fourier Analysis in Polar and Spherical Coordinates. - Kun Liu 003; Henrik Skibbe; Thorsten Schmidt; Thomas Blein; Klaus Palme; Thomas Brox; Olaf Ronneberger (Int. J. Comput. Vis., 2014)

Symmetric Wiener Processes for Probabilistic Tractography and Connectivity Estimation. - Marco Reisert; B. Dihtal; Elias Kellner; Henrik Skibbe; Christoph P. Kaller (MICCAI (1), 2015)

Efficient Monte Carlo Image Analysis for the Location of Vascular Entity. - Henrik Skibbe; Marco Reisert; Shin-ichi Maeda; Masanori Koyama; Shigeyuki Oba; Kei Ito; Shin Ishii (IEEE Trans. Medical Imaging, 2015)

An occlusion-aware particle filter tracker to handle complex and persistent occlusions. - Kourosh Meshgi; Shin-ichi Maeda; Shigeyuki Oba; Henrik Skibbe; Yu-zhe Li; Shin Ishii (Comput. Vis. Image Underst., 2016)

Spherical Tensor Algebra: A Toolkit for 3D Image Processing. - Henrik Skibbe; Marco Reisert (J. Math. Imaging Vis., 2017)

HAMLET: Hierarchical Harmonic Filters for Learning Tracts from Diffusion MRI. - Marco Reisert; Volker A. Coenen; Christoph P. Kaller; Karl Egger; Henrik Skibbe (CoRR, 2018)

Modelfree global tractography. - Lidia Konopleva; Kamil A. Il'yasov; Henrik Skibbe; Valerij G. Kiselev; Elias Kellner; Bibek Dhital; Marco Reisert (NeuroImage, 2018)

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

PAT - Probabilistic Axon Tracking for Densely Labeled Neurons in Large 3-D Micrographs. - Henrik Skibbe; Marco Reisert; Ken Nakae; Akiya Watakabe; Junichi Hata; Hiroaki Mizukami; Hideyuki Okano; Tetsuo Yamamori; Shin Ishii (IEEE Trans. Medical Imaging, 2019)

Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution. - Muhammad Febrian Rachmadi; Maria del C. Valdés Hernández; Rizal Maulana; Joanna M. Wardlaw; Stephen D. Makin; Henrik Skibbe (PRIME@MICCAI, 2021)

Deep Neural Patchworks: Coping with Large Segmentation Tasks. - Marco Reisert; Maximilian Frederik Russe; Samer Elsheikh; Elias Kellner; Henrik Skibbe (CoRR, 2022)

A Spiking Neural Network Builder for Systematic Data-to-Model Workflow. - Carlos Enrique Gutierrez; Henrik Skibbe; Hugo Musset; Kenji Doya (Frontiers Neuroinformatics, 2022)

An Automated Pipeline to Create an Atlas of in Situ Hybridization Gene Expression Data in the Adult Marmoset Brain. - Charissa Poon; Muhammad Febrian Rachmadi; Michal Byra; Matthias Schlachter; Binbin Xu 002; Tomomi Shimogori; Henrik Skibbe (ISBI, 2023)

Implicit Neural Representations for Joint Decomposition and Registration of Gene Expression Images in the Marmoset Brain. - Michal Byra; Charissa Poon; Tomomi Shimogori; Henrik Skibbe (MICCAI (10), 2023)

Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function. - Febrian Febrian Rachmadi; Charissa Poon; Henrik Skibbe (MIDL, 2023)

Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function. - Muhammad Febrian Rachmadi; Charissa Poon; Henrik Skibbe (CoRR, 2023)

Few-shot medical image classification with simple shape and texture text descriptors using vision-language models. - Michal Byra; Muhammad Febrian Rachmadi; Henrik Skibbe (CoRR, 2023)

PatchMorph: A Stochastic Deep Learning Approach for Unsupervised 3D Brain Image Registration with Small Patches. - Henrik Skibbe; Michal Byra; Akiya Watakabe; Tetsuo Yamamori; Marco Reisert (CoRR, 2023)

Multi-scale Stochastic Generation of Labelled Microscopy Images for Neuron Segmentation. - Méghane Decroocq; Binbin Xu 002; Katherine L. Thompson-Peer; Adrian Moore 003; Henrik Skibbe (MIDL, 2024)

A new family of instance-level loss functions for improving instance-level segmentation and detection of white matter hyperintensities in routine clinical brain MRI. - Muhammad Febrian Rachmadi; Michal Byra; Henrik Skibbe (Comput. Biol. Medicine, 2024)

Generating Visual Explanations from Deep Networks Using Implicit Neural Representations. - Michal Byra; Henrik Skibbe (WACV, 2025)