Hans Meine
Hans Meine
University of Bremen & Fraunhofer MEVIS
Verified email at hansmeine.de - Homepage
Cited by
Cited by
Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study
RD Rudyanto, S Kerkstra, EM Van Rikxoort, C Fetita, PY Brillet, C Lefevre, ...
Medical image analysis 18 (7), 1217-1232, 2014
The liver tumor segmentation benchmark (lits)
P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ...
arXiv preprint arXiv:1901.04056, 2019
Segmentation-based partial volume correction for volume estimation of solid lesions in CT
F Heckel, H Meine, JH Moltz, JM Kuhnigk, JT Heverhagen, A Kießling, ...
IEEE transactions on medical imaging 33 (2), 462-480, 2013
Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing
G Chlebus, A Schenk, JH Moltz, B van Ginneken, HK Hahn, H Meine
Scientific reports 8 (1), 1-7, 2018
Principles and methods for automatic and semi-automatic tissue segmentation in MRI data
L Wang, T Chitiboi, H Meine, M Günther, HK Hahn
Magnetic Resonance Materials in Physics, Biology and Medicine 29 (2), 95-110, 2016
The GeoMap: A unified representation for topology and geometry
H Meine, U Köthe
International Workshop on Graph-Based Representations in Pattern Recognition …, 2005
Neural network-based automatic liver tumor segmentation with random forest-based candidate filtering
G Chlebus, H Meine, JH Moltz, A Schenk
arXiv preprint arXiv:1706.00842, 2017
Microstructural analysis of lignocellulosic fiber networks
T Walther, K Terzic, T Donath, H Meine, F Beckmann, H Thoemen
Developments in X-ray Tomography V 6318, 631812, 2006
A topological sampling theorem for robust boundary reconstruction and image segmentation
H Meine, U Köthe, P Stelldinger
Discrete Applied Mathematics 157 (3), 524-541, 2009
Image segmentation with the exact watershed transform
H Meine, U Köthe
Proc. Vis., Imaging, and Image Processing, 400-405, 2005
Topologically correct image segmentation using alpha shapes
P Stelldinger, U Köthe, H Meine
International Conference on Discrete Geometry for Computer Imagery, 542-554, 2006
Accurate CT-MR image registration for deep brain stimulation: a multi-observer evaluation study
J Rühaak, A Derksen, S Heldmann, M Hallmann, H Meine
Medical Imaging 2015: Image Processing 9413, 941337, 2015
On the evaluation of segmentation editing tools
F Heckel, JH Moltz, H Meine, B Geisler, A Kießling, M D’Anastasi, ...
Journal of Medical Imaging 1 (3), 034005, 2014
The GeoMap Representation: On Topologically Correct Sub-pixel Image Analysis-Imprint Akademische Verlagsgesellschaft-Volume 323 Dissertations in Artificial Intelligence
H Meine
IOS Press, 2009
A new sub-pixel map for image analysis
H Meine, U Köthe
International Workshop on Combinatorial Image Analysis, 116-130, 2006
New opportunities for the microstructural analysis of wood fiber networks
T Walther, H Thoemen, K Terzic, H Meine
Proceedings of the tenth European panel products symposium, Llandudno, Wales …, 2006
Deep learning based segmentation of organs of the female pelvis in CBCT scans for adaptive radiotherapy using CT and CBCT data
A Hänsch, V Dicken, T Grass, T Morgas, J Klein, H Meine, HK Hahn
Int J Comput Assist Radiol Surg 13, 179-180, 2018
Evaluation of deep learning methods for parotid gland segmentation from CT images
A Hänsch, M Schwier, T Gass, T Morgas, B Haas, V Dicken, H Meine, ...
Journal of Medical Imaging 6 (1), 011005, 2018
XPMap-based irregular pyramids for image segmentation
H Meine, IHS Stiehl
Diploma thesis, Dept. of CS, University of Hamburg, 2003
Automatic and efficient MRI-US segmentations for improving intraoperative image fusion in image-guided neurosurgery
J Nitsch, J Klein, P Dammann, K Wrede, O Gembruch, JH Moltz, H Meine, ...
NeuroImage: Clinical 22, 101766, 2019
The system can't perform the operation now. Try again later.
Articles 1–20