Tracing in 2D to Reduce the Annotation Effort for 3D Deep Delineation
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Pascal Fua | Mathieu Salzmann | Mateusz Kozinski | Agata Mosinska | P. Fua | M. Salzmann | Agata Mosinska | M. Koziński
[1] Ender Konukoglu,et al. Learning to Segment Medical Images with Scribble-Supervision Alone , 2018, DLMIA/ML-CDS@MICCAI.
[2] Ronan Collobert,et al. From image-level to pixel-level labeling with Convolutional Networks , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Raquel Urtasun,et al. DeepRoadMapper: Extracting Road Topology from Aerial Images , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[4] Yingli Tian,et al. Coarse-to-Fine Semantic Segmentation From Image-Level Labels , 2018, IEEE Transactions on Image Processing.
[5] Jan Dirk Wegner,et al. A Higher-Order CRF Model for Road Network Extraction , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[6] Pascal Fua,et al. Detecting Irregular Curvilinear Structures in Gray Scale and Color Imagery Using Multi-directional Oriented Flux , 2013, 2013 IEEE International Conference on Computer Vision.
[7] Vincent Lepetit,et al. Supervised Feature Learning for Curvilinear Structure Segmentation , 2013, MICCAI.
[8] Bernt Schiele,et al. Simple Does It: Weakly Supervised Instance and Semantic Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Matthew Cook,et al. Efficient automatic 3D-reconstruction of branching neurons from EM data , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Suha Kwak,et al. Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[11] H. Sebastian Seung,et al. Maximin affinity learning of image segmentation , 2009, NIPS.
[12] Alejandro F. Frangi,et al. Muliscale Vessel Enhancement Filtering , 1998, MICCAI.
[13] Arthur W Toga,et al. The role of brain vasculature in neurodegenerative disorders , 2018, Nature Neuroscience.
[14] Max W. K. Law,et al. Three Dimensional Curvilinear Structure Detection Using Optimally Oriented Flux , 2008, ECCV.
[15] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[16] Konstantinos Kamnitsas,et al. DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks , 2016, IEEE Transactions on Medical Imaging.
[17] J. K. Smith,et al. Vessel tortuosity and brain tumor malignancy: a blinded study. , 2005, Academic radiology.
[18] Thomas Brox,et al. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation , 2016, MICCAI.
[19] George Papandreou,et al. Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation , 2015, ArXiv.
[20] S. N. Merchant,et al. MS-Net: Mixed-Supervision Fully-Convolutional Networks for Full-Resolution Segmentation , 2018, MICCAI.
[21] Pascal Fua,et al. Learning to Segment 3D Linear Structures Using Only 2D Annotations , 2018, MICCAI.
[22] Luc Van Gool,et al. Deep Retinal Image Understanding , 2016, MICCAI.
[23] Hanchuan Peng,et al. Automatic tracing of ultra-volumes of neuronal images , 2016, Nature Methods.
[24] Guido Gerig,et al. 3D Multi-scale line filter for segmentation and visualization of curvilinear structures in medical images , 1997, CVRMed.
[25] Lin Yang,et al. Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation , 2018, MICCAI.
[26] 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.
[27] Victor S. Lempitsky,et al. N4-Fields: Neural Network Nearest Neighbor Fields for Image Transforms , 2014, ArXiv.
[28] Kiriakos N. Kutulakos,et al. A Theory of Shape by Space Carving , 2000, International Journal of Computer Vision.
[29] Pascal Fua,et al. Active Learning and Proofreading for Delineation of Curvilinear Structures , 2017, MICCAI.
[30] Pascal Fua,et al. Beyond the Pixel-Wise Loss for Topology-Aware Delineation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[31] Jian Sun,et al. ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[32] Geoffrey E. Hinton,et al. Machine Learning for Aerial Image Labeling , 2013 .
[33] Holger Roth,et al. Tracking and Segmentation of the Airways in Chest CT Using a Fully Convolutional Network , 2017, MICCAI.
[34] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[35] Hanchuan Peng,et al. Virtual finger boosts three-dimensional imaging and microsurgery as well as terabyte volume image visualization and analysis , 2014, Nature Communications.
[36] Geoffrey E. Hinton,et al. Learning to Detect Roads in High-Resolution Aerial Images , 2010, ECCV.
[37] Steven S. Laurie,et al. Vascular remodeling in pulmonary hypertension , 2013, Journal of Molecular Medicine.
[38] Joachim Hornegger,et al. 3D annotation and manipulation of medical anatomical structures , 2009, Medical Imaging.
[39] James G. King,et al. Reconstruction and Simulation of Neocortical Microcircuitry , 2015, Cell.
[40] Vincent Lepetit,et al. Multiscale Centerline Detection , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[41] Shaohua Kevin Zhou,et al. Hierarchical Discriminative Framework for Detecting Tubular Structures in 3D Images , 2013, IPMI.
[42] Nico Westerhof,et al. Vascular narrowing in pulmonary arterial hypertension is heterogeneous: rethinking resistance , 2017, Physiological reports.