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Josien P. W. Pluim | Bjoern H. Menze | Bjoern H Menze | Suprosanna Shit | Anjany Sekuboyina | Giles Tetteh | Ivan Ezhov | Johannes C. Paetzold | Andrey Zhylka | Alexander Unger | J. Pluim | U. Bauer | A. Sekuboyina | I. Ezhov | A. Zhylka | Suprosanna Shit | Alexander Unger | J. Paetzold | Ulrich Bauer
[1] Dimitris Samaras,et al. Topology-Preserving Deep Image Segmentation , 2019, NeurIPS.
[2] Rangasami L. Kashyap,et al. Building Skeleton Models via 3-D Medial Surface/Axis Thinning Algorithms , 1994, CVGIP Graph. Model. Image Process..
[3] T. Yung Kong,et al. On Topology Preservation in 2-D and 3-D Thinning , 1995, Int. J. Pattern Recognit. Artif. Intell..
[4] Ullrich Köthe,et al. Probabilistic image segmentation with closedness constraints , 2011, 2011 International Conference on Computer Vision.
[5] Kálmán Palágyi,et al. A 3-subiteration 3D thinning algorithm for extracting medial surfaces , 2002, Pattern Recognit. Lett..
[6] Frank Y. Shih,et al. A skeletonization algorithm by maxima tracking on Euclidean distance transform , 1995, Pattern Recognit..
[7] Max A. Viergever,et al. Ridge-based vessel segmentation in color images of the retina , 2004, IEEE Transactions on Medical Imaging.
[8] Yuan Zhang,et al. Retinal vessel segmentation of color fundus images using multiscale convolutional neural network with an improved cross-entropy loss function , 2018, Neurocomputing.
[9] Florent Ségonne,et al. Active Contours Under Topology Control—Genus Preserving Level Sets , 2008, International Journal of Computer Vision.
[10] Thomas Brox,et al. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation , 2016, MICCAI.
[11] Mingchen Gao,et al. Deep vessel tracking: A generalized probabilistic approach via deep learning , 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).
[12] Jan Dirk Wegner,et al. A Higher-Order CRF Model for Road Network Extraction , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[13] Pascal Fua,et al. Promoting Connectivity of Network-Like Structures by Enforcing Region Separation , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] A. L. Allegra Mascaro,et al. Whole-Brain Vasculature Reconstruction at the Single Capillary Level , 2017, Scientific Reports.
[15] Vladimir Kolmogorov,et al. Graph cut based image segmentation with connectivity priors , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[16] Cherng Min Ma,et al. On topology preservation in 3D thinning , 1994 .
[17] Azriel Rosenfeld,et al. Digital topology: Introduction and survey , 1989, Comput. Vis. Graph. Image Process..
[18] Eugene W. Myers,et al. Efficient Algorithms for Moral Lineage Tracing , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[19] Bjoern H. Menze,et al. DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes , 2018, Frontiers in Neuroscience.
[20] Dimitris Samaras,et al. Topology cuts: A novel min-cut/max-flow algorithm for topology preserving segmentation in N-D images , 2008, Comput. Vis. Image Underst..
[21] Jaime S. Cardoso,et al. A Deep Learning Design for Improving Topology Coherence in Blood Vessel Segmentation , 2019, MICCAI.
[22] Daniel Cremers,et al. Generalized Connectivity Constraints for Spatio-temporal 3D Reconstruction , 2014, ECCV.
[23] Marwan N. Sabbagh,et al. Morphological and Pathological Evolution of the Brain Microcirculation in Aging and Alzheimer’s Disease , 2012, PloS one.
[24] M. H. A. Newman,et al. Combinatorial Topology. Vol. 1 , 1958 .
[25] Roberto Cipolla,et al. Skeletonization using an extended Euclidean distance transform , 1995, Image Vis. Comput..
[26] Pascal Fua,et al. Joint Segmentation and Path Classification of Curvilinear Structures , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] Francis K. H. Quek,et al. A review of vessel extraction techniques and algorithms , 2004, CSUR.
[28] Vasilis Ntziachristos,et al. A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images , 2020, MICCAI.
[29] Pascal Fua,et al. Reconstructing Curvilinear Networks Using Path Classifiers and Integer Programming , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[30] Gábor Székely,et al. Tissue metabolism driven arterial tree generation , 2012, Medical Image Anal..
[31] Ghassan Hamarneh,et al. Topology Aware Fully Convolutional Networks for Histology Gland Segmentation , 2016, MICCAI.
[32] Pascal Fua,et al. Towards Reliable Evaluation of Algorithms for Road Network Reconstruction from Aerial Images , 2020, European Conference on Computer Vision.
[33] Herbert Edelsbrunner,et al. Computational Topology - an Introduction , 2009 .
[34] Daniel Cremers,et al. Tree Shape Priors with Connectivity Constraints Using Convex Relaxation on General Graphs , 2013, ICCV.
[35] Bjoern H Menze,et al. Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation , 2019, MLMI@MICCAI.
[36] Geoffrey E. Hinton,et al. Machine Learning for Aerial Image Labeling , 2013 .
[37] Xin Wang,et al. Learning tree-structured representation for 3D coronary artery segmentation , 2019, Comput. Medical Imaging Graph..
[38] Bjoern H Menze,et al. Machine learning analysis of whole mouse brain vasculature , 2020, Nature Methods.
[39] Anil A. Bharath,et al. A Multi-task Network to Detect Junctions in Retinal Vasculature , 2018, MICCAI.
[40] Adam P. Harrison,et al. 3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels , 2017, MLMI@MICCAI.
[41] J. Whitehead,et al. Combinatorial homotopy. II , 1949 .
[42] Davide Belli,et al. Image-Conditioned Graph Generation for Road Network Extraction , 2019, ArXiv.
[43] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[44] Gábor Székely,et al. Joint 3-D vessel segmentation and centerline extraction using oblique Hough forests with steerable filters , 2015, Medical Image Anal..
[45] Chandan Singh,et al. Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[46] Xiao Han,et al. A Topology Preserving Level Set Method for Geometric Deformable Models , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[47] Sébastien Ourselin,et al. Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations , 2017, DLMIA/ML-CDS@MICCAI.
[48] Sebastian Nowozin,et al. Global connectivity potentials for random field models , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[49] Allan Hanbury,et al. Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool , 2015, BMC Medical Imaging.
[50] Herbert Edelsbrunner,et al. Topological Persistence and Simplification , 2000, Proceedings 41st Annual Symposium on Foundations of Computer Science.
[51] Bjoern H Menze,et al. Cellular and Molecular Probing of Intact Human Organs , 2020, Cell.
[52] A. Schedl,et al. Cerebrovascular dysfunction and microcirculation rarefaction precede white matter lesions in a mouse genetic model of cerebral ischemic small vessel disease. , 2010, The Journal of clinical investigation.
[53] Pascal Fua,et al. Beyond the Pixel-Wise Loss for Topology-Aware Delineation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[54] Nils Daniel Forkert,et al. Vascular Segmentation in TOF MRA Images of the Brain Using a Deep Convolutional Neural Network , 2017, CVII-STENT/LABELS@MICCAI.
[55] Pascal Fua,et al. TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation , 2020, ECCV.
[56] Ilkay Öksüz,et al. A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[57] Bjoern H. Menze,et al. Automated analysis of whole brain vasculature using machine learning , 2019, bioRxiv.
[58] Seyed-Ahmad Ahmadi,et al. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation , 2016, 2016 Fourth International Conference on 3D Vision (3DV).