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Henrik Skibbe
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- affiliation: RIKEN Center for Brain Science, Wako, Japan
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2020 – today
- 2024
- [j10]Muhammad Febrian Rachmadi
, Michal Byra
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) - 2023
- [c21]Charissa Poon, Muhammad Febrian Rachmadi, Michal Byra, Matthias Schlachter, Binbin Xu
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 - [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
- [j9]Carlos Enrique Gutierrez
A Spiking Neural Network Builder for Systematic Data-to-Model Workflow. Frontiers Neuroinformatics 16 (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) - 2021
- [c18]Muhammad Febrian Rachmadi
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
2010 – 2019
- 2019
- [j8]Henrik Skibbe
PAT - Probabilistic Axon Tracking for Densely Labeled Neurons in Large 3-D Micrographs. IEEE Trans. Medical Imaging 38(1): 69-78 (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
- [j7]Lidia Konopleva
Modelfree global tractography. NeuroImage 174: 576-586 (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) - 2017
- [j6]Henrik Skibbe
Spherical Tensor Algebra: A Toolkit for 3D Image Processing. J. Math. Imaging Vis. 58(3): 349-381 (2017) - 2016
- [j5]Kourosh Meshgi
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) - [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
- [j3]Kun Liu
Rotation-Invariant HOG Descriptors Using Fourier Analysis in Polar and Spherical Coordinates. Int. J. Comput. Vis. 106(3): 342-364 (2014) - [c16]Henrik Skibbe, Marco Reisert, Shin Ishii
Efficient Metropolis-Hasting Image Analysis for the Location of Vascular Entity. GCPR 2014: 421-431 - 2013
- [b1]Henrik Skibbe:
Spherical tensor algebra for biomedical image analysis = Sphärische Tensor Algebra für die Biomedizinische Bildanalyse. University of Freiburg, Germany, 2013 - [j2]Henrik Skibbe
Rotation Covariant Image Processing for Biomedical Applications. Comput. Math. Methods Medicine 2013: 931507:1-931507:19 (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
- [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) - [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 - [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) - 2011
- [c11]Kun Liu, Henrik Skibbe, Thorsten Schmidt, Thomas Blein
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
2000 – 2009
- 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
Coauthor Index
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