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ORCIDHenrik Skibbe
Person information
- affiliation: RIKEN Center for Brain Science, Wako, Japan
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Books and Theses
- 2013
[b1]Henrik Skibbe:
Spherical tensor algebra for biomedical image analysis = Sphärische Tensor Algebra für die Biomedizinische Bildanalyse. University of Freiburg, Germany, 2013
Journal Articles
- 2024
- [j10]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: 108414 (2024) - 2022
- [j9]Carlos Enrique Gutierrez, Henrik Skibbe, Hugo Musset, Kenji Doya:
A Spiking Neural Network Builder for Systematic Data-to-Model Workflow. Frontiers Neuroinformatics 16 (2022) - 2019
- [j8]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): 69-78 (2019) - 2018
- [j7]Lidia Konopleva, Kamil A. Il'yasov, Henrik Skibbe, Valerij G. Kiselev, Elias Kellner, Bibek Dhital, Marco Reisert:
Modelfree global tractography. NeuroImage 174: 576-586 (2018) - 2017
- [j6]Henrik Skibbe, Marco Reisert:
Spherical Tensor Algebra: A Toolkit for 3D Image Processing. J. Math. Imaging Vis. 58(3): 349-381 (2017) - 2016
- [j5]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: 81-94 (2016) - 2015
- [j4]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): 628-643 (2015) - 2014
- [j3]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): 342-364 (2014) - 2013
- [j2]Henrik Skibbe, Marco Reisert:
Rotation Covariant Image Processing for Biomedical Applications. Comput. Math. Methods Medicine 2013: 931507:1-931507:19 (2013) - 2012
- [j1]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): 1563-1575 (2012)
Conference and Workshop Papers
- 2023
- [c21]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: 1-5 - [c20]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: 645-654 - [c19]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: 286-300 - 2021
- [c18]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: 168-180 - 2015
- [c17]Marco Reisert, B. Dihtal, Elias Kellner, Henrik Skibbe, Christoph P. Kaller:
Symmetric Wiener Processes for Probabilistic Tractography and Connectivity Estimation. MICCAI (1) 2015: 53-60 - 2014
- [c16]Henrik Skibbe, Marco Reisert, Shin Ishii:
Efficient Metropolis-Hasting Image Analysis for the Location of Vascular Entity. GCPR 2014: 421-431 - 2013
- [c15]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: 47-55 - [c14]Marco Reisert, Henrik Skibbe:
Fiber Continuity Based Spherical Deconvolution in Spherical Harmonic Domain. MICCAI (3) 2013: 493-500 - 2012
- [c13]Henrik Skibbe, Marco Reisert:
Circular Fourier-HOG features for rotation invariant object detection in biomedical images. ISBI 2012: 450-453 - [c12]Marco Reisert, Henrik Skibbe, Valerij G. Kiselev:
Fiber Density Estimation by Tensor Divergence. MICCAI (2) 2012: 297-304 - 2011
- [c11]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: 1-12 - [c10]Henrik Skibbe, Marco Reisert, Hans Burkhardt:
SHOG - Spherical HOG Descriptors for Rotation Invariant 3D Object Detection. DAGM-Symposium 2011: 142-151 - [c9]Marco Reisert, Henrik Skibbe:
Steerable Deconvolution Feature Detection as an Inverse Problem. DAGM-Symposium 2011: 326-335 - [c8]Henrik Skibbe, Marco Reisert:
Dense rotation invariant brain pyramids for automated human brain parcellation. GI-Jahrestagung 2011: 444 - [c7]Henrik Skibbe, Marco Reisert, Olaf Ronneberger, Hans Burkhardt:
Spherical Bessel Filter for 3D object detection. ISBI 2011: 728-733 - [c6]Henrik Skibbe, Marco Reisert, Hans Burkhardt:
Gaussian Neighborhood Descriptors for Brain Segmentation. MVA 2011: 35-38 - 2010
- [c5]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: 412-421 - 2009
- [c4]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: 141-150 - [c3]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: 1863-1869 - [c2]Henrik Skibbe, Alexandra Teynor, Hans Burkhardt:
Unsupervised Learning of Characteristic Object Parts from Videos. MVA 2009: 199-202 - 2005
- [c1]Zhe-Ming Lu, Henrik Skibbe, Hans Burkhardt:
Image Retrieval Based on a Multipurpose Watermarking Scheme. KES (2) 2005: 573-579
Informal and Other Publications
- 2023
- [i9]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 abs/2303.06857 (2023) - [i8]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 abs/2304.06229 (2023) - [i7]Michal Byra, Muhammad Febrian Rachmadi, Henrik Skibbe:
Few-shot medical image classification with simple shape and texture text descriptors using vision-language models. CoRR abs/2308.04005 (2023) - [i6]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 abs/2308.04039 (2023) - [i5]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 abs/2312.06958 (2023) - 2022
- [i4]Marco Reisert, Maximilian Frederik Russe, Samer Elsheikh, Elias Kellner, Henrik Skibbe:
Deep Neural Patchworks: Coping with Large Segmentation Tasks. CoRR abs/2206.03210 (2022) - 2019
- [i3]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 abs/1908.00876 (2019) - 2018
- [i2]Marco Reisert, Volker A. Coenen, Christoph P. Kaller, Karl Egger, Henrik Skibbe:
HAMLET: Hierarchical Harmonic Filters for Learning Tracts from Diffusion MRI. CoRR abs/1807.01068 (2018) - 2012
- [i1]Marco Reisert, Henrik Skibbe:
Left-Invariant Diffusion on the Motion Group in terms of the Irreducible Representations of SO(3). CoRR abs/1202.5414 (2012)
Coauthor Index
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