-
1
-
-
24644484887
-
Probabilistic modeling-based vessel enhancement in thoracic CT scans
-
G. Agam and C. Wu. Probabilistic Modeling-Based Vessel Enhancement in Thoracic CT Scans. In CVPR, pages 684-689, 2005.
-
(2005)
CVPR
, pp. 684-689
-
-
Agam, G.1
Wu, C.2
-
2
-
-
79953048649
-
Contour detection and hierarchical image segmentation
-
P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik. Contour Detection and Hierarchical Image Segmentation. PAMI, 33(5):898-916, 2011.
-
(2011)
PAMI
, vol.33
, Issue.5
, pp. 898-916
-
-
Arbelaez, P.1
Maire, M.2
Fowlkes, C.3
Malik, J.4
-
4
-
-
84894617371
-
Supervised feature learning for curvilinear structure segmentation
-
September
-
C. Becker, R. Rigamonti, V. Lepetit, and P. Fua. Supervised Feature Learning for Curvilinear Structure Segmentation. In MICCAI, September 2013.
-
(2013)
MICCAI
-
-
Becker, C.1
Rigamonti, R.2
Lepetit, V.3
Fua, P.4
-
6
-
-
84862991967
-
A Hessian-based filter for vascular segmentation of noisy hepatic CT scans
-
A. H. Foruzan, R. A. Zoroofi, Y. Sato, and M. Hori. A Hessian-Based Filter for Vascular Segmentation of Noisy Hepatic CT Scans. International Journal of Computer Assisted Radiology and Surgery, 7(2):199-205, 2012.
-
(2012)
International Journal of Computer Assisted Radiology and Surgery
, vol.7
, Issue.2
, pp. 199-205
-
-
Foruzan, A.H.1
Zoroofi, R.A.2
Sato, Y.3
Hori, M.4
-
7
-
-
65549089797
-
Multiscale vessel enhancement filtering
-
A. Frangi, W. Niessen, K. Vincken, and M. Viergever. Multiscale Vessel Enhancement Filtering. Lecture Notes in Computer Science, 1496:130-137, 1998.
-
(1998)
Lecture Notes in Computer Science
, vol.1496
, pp. 130-137
-
-
Frangi, A.1
Niessen, W.2
Vincken, K.3
Viergever, M.4
-
8
-
-
79958168615
-
Steerable features for statistical 3d dendrite detection
-
September
-
G. Gonzalez, F. Aguet, F. Fleuret, M. Unser, and P. Fua. Steerable Features for Statistical 3D Dendrite Detection. In MICCAI, pages 625-32, September 2009.
-
(2009)
MICCAI
, pp. 625-632
-
-
Gonzalez, G.1
Aguet, F.2
Fleuret, F.3
Unser, M.4
Fua, P.5
-
10
-
-
67650245545
-
Road centreline extraction from highresolution imagery based on multiscale structural features and support vector machines
-
X. Huang and L. Zhang. Road Centreline Extraction from HighResolution Imagery Based on Multiscale Structural Features and Support Vector Machines. International Journal of Remote Sensing, 30:1977-1987, 2009.
-
(2009)
International Journal of Remote Sensing
, vol.30
, pp. 1977-1987
-
-
Huang, X.1
Zhang, L.2
-
11
-
-
3242713335
-
Design of steerable filters for feature detection using canny-like criteria
-
August
-
M. Jacob and M. Unser. Design of Steerable Filters for Feature Detection Using Canny-Like Criteria. PAMI, 26(8):1007-1019, August 2004.
-
(2004)
PAMI
, vol.26
, Issue.8
, pp. 1007-1019
-
-
Jacob, M.1
Unser, M.2
-
12
-
-
0034321042
-
Model-based detection of tubular structures in 3d images
-
November
-
K. Krissian, G. Malandain, N. Ayache, R. Vaillant, and Y. Trousset. Model-Based Detection of Tubular Structures in 3D Images. CVIU, 80(1):130-171, November 2000.
-
(2000)
CVIU
, vol.80
, Issue.1
, pp. 130-171
-
-
Krissian, K.1
Malandain, G.2
Ayache, N.3
Vaillant, R.4
Trousset, Y.5
-
13
-
-
70350339005
-
Three dimensional curvilinear structure detection using optimally oriented flux
-
M. Law and A. Chung. Three Dimensional Curvilinear Structure Detection Using Optimally Oriented Flux. In ECCV, 2008.
-
(2008)
ECCV
-
-
Law, M.1
Chung, A.2
-
14
-
-
78149308415
-
An oriented flux symmetry based active contour model for three dimensional vessel segmentation
-
M. Law and A. Chung. An Oriented Flux Symmetry Based Active Contour Model for Three Dimensional Vessel Segmentation. In ECCV, pages 720-734, 2010.
-
(2010)
ECCV
, pp. 720-734
-
-
Law, M.1
Chung, A.2
-
15
-
-
0025398919
-
Scale-space for discrete signals
-
T. Lindeberg. Scale-Space for Discrete Signals. PAMI, 12(3):234-254, 1990.
-
(1990)
PAMI
, vol.12
, Issue.3
, pp. 234-254
-
-
Lindeberg, T.1
-
16
-
-
3042525106
-
Learning to detect natural image boundaries using local brightness color and texture cues
-
D. Martin, C. Fowlkes, and J. Malik. Learning to Detect Natural Image Boundaries Using Local Brightness, Color and Texture Cues. PAMI, 26(5), 2004.
-
(2004)
PAMI
, vol.26
, Issue.5
-
-
Martin, D.1
Fowlkes, C.2
Malik, J.3
-
17
-
-
1942470024
-
Design and validation of a tool for neurite tracing and analysis in fluorescence microscopy images
-
April
-
E. Meijering, M. Jacob, J.-C. F. Sarria, P. Steiner, H. Hirling, and M. Unser. Design and Validation of a Tool for Neurite Tracing and Analysis in Fluorescence Microscopy Images. Cytometry Part A, 58A(2):167-176, April 2004.
-
(2004)
Cytometry Part A
, vol.58 A
, Issue.2
, pp. 167-176
-
-
Meijering, E.1
Jacob, M.2
Sarria, J.-C.F.3
Steiner, P.4
Hirling, H.5
Unser, M.6
-
18
-
-
84867136367
-
Learning to label aerial images from noisy data
-
V. Mnih and G. Hinton. Learning to Label Aerial Images from Noisy Data. In ICML, 2012.
-
(2012)
ICML
-
-
Mnih, V.1
Hinton, G.2
-
19
-
-
70450173654
-
Extraction of tubular structures over an orientation domain
-
M. Pechaud, G. Peyré, and R. Keriven. Extraction of Tubular Structures over an Orientation Domain. In CVPR, pages 336-342, 2009.
-
(2009)
CVPR
, pp. 336-342
-
-
Pechaud, M.1
Peyré, G.2
Keriven, R.3
-
20
-
-
84872519433
-
Accurate and efficient linear structure segmentation by leveraging ad hoc features with learned filters
-
R. Rigamonti and V. Lepetit. Accurate and Efficient Linear Structure Segmentation by Leveraging Ad Hoc Features with Learned Filters. In MICCAI, 2012.
-
(2012)
MICCAI
-
-
Rigamonti, R.1
Lepetit, V.2
-
22
-
-
38349057942
-
Towards segmentation of irregular tubular structures in 3d confocal microscope images
-
A. Santamaría-Pang, T. Bildea, C. M. Colbert, P. Saggau, and I. Kakadiaris. Towards Segmentation of Irregular Tubular Structures in 3D Confocal Microscope Images. In MICCAI Workshop in Microscopic Image Analysis and Applications in Biology, 2006.
-
(2006)
MICCAI Workshop in Microscopic Image Analysis and Applications in Biology
-
-
Santamaría-Pang, A.1
Bildea, T.2
Colbert, C.M.3
Saggau, P.4
Kakadiaris, I.5
-
23
-
-
0032081365
-
3D multi-scale line filter for segmentation and visualization of curvilinear structures in medical images
-
June
-
Y. Sato, S. Nakajima, H. Atsumi, T. Koller, G. Gerig, S. Yoshida, and R. Kikinis. 3D Multi-Scale Line Filter for Segmentation and Visualization of Curvilinear Structures in Medical Images. MIA, 2:143-168, June 1998.
-
(1998)
MIA
, vol.2
, pp. 143-168
-
-
Sato, Y.1
Nakajima, S.2
Atsumi, H.3
Koller, T.4
Gerig, G.5
Yoshida, S.6
Kikinis, R.7
-
24
-
-
33845584832
-
Retinal vessel centerline extraction using multiscale matched filters confidence and edge measures
-
M. Sofka and C. Stewart. Retinal Vessel Centerline Extraction Using Multiscale Matched Filters, Confidence and Edge Measures. TMI, 2006.
-
(2006)
TMI
-
-
Sofka, M.1
Stewart, C.2
-
25
-
-
84898821314
-
Detecting irregular curvilinear structures in gray scale and color imagery using multi-directional oriented flux
-
December
-
E. Turetken, C. Becker, P. Glowacki, F. Benmansour, and P. Fua. Detecting Irregular Curvilinear Structures in Gray Scale and Color Imagery Using Multi-Directional Oriented Flux. In ICCV, December 2013.
-
(2013)
ICCV
-
-
Turetken, E.1
Becker, C.2
Glowacki, P.3
Benmansour, F.4
Fua, P.5
-
26
-
-
71649109399
-
A machine learning approach to extract spinal column centerline from three-dimensional CT data
-
C. Wang, Y. Li, W. Ito, K. Shimura, and K. Abe. A Machine Learning Approach to Extract Spinal Column Centerline from Three-Dimensional CT Data. In SPIE, 2009.
-
(2009)
SPIE
-
-
Wang, C.1
Li, Y.2
Ito, W.3
Shimura, K.4
Abe, K.5
-
28
-
-
84871645911
-
Multi-scale bi-gaussian filter for adjacent curvilinear structures detection with application to vasculature images
-
C. Xiao, M. Staring, Y. Wang, D. Shamonin, and B. Stoel. Multi-scale Bi-Gaussian Filter for Adjacent Curvilinear Structures Detection with Application to Vasculature Images. TIP, 22(1):174-188, 2013.
-
(2013)
TIP
, vol.22
, Issue.1
, pp. 174-188
-
-
Xiao, C.1
Staring, M.2
Wang, Y.3
Shamonin, D.4
Stoel, B.5
-
29
-
-
79957990394
-
Machine learning based vesselness measurement for coronary artery segmentation in cardiac CT volumes
-
Y. Zheng, M. Loziczonek, B. Georgescu, S. K. Zhou, F. Vega-Higuera, and D. Comaniciu. Machine Learning Based Vesselness Measurement for Coronary Artery Segmentation in Cardiac CT Volumes. SPIE, 7962(1):79621-7962112, 2011.
-
(2011)
SPIE
, vol.7962
, Issue.1
, pp. 79621-7962112
-
-
Zheng, Y.1
Loziczonek, M.2
Georgescu, B.3
Zhou, S.K.4
Vega-Higuera, F.5
Comaniciu, D.6
-
30
-
-
84911454848
-
A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images
-
S. K. Zhou, C. Tietjen, G. Soza, A. Wimmer, C. Lu, Z. Puskas, D. Liu, and D. Wu. A Learning Based Deformable Template Matching Method for Automatic Rib Centerline Extraction and Labeling in CT Images. In CVPR, 2012.
-
(2012)
CVPR
-
-
Zhou, S.K.1
Tietjen, C.2
Soza, G.3
Wimmer, A.4
Lu, C.5
Puskas, Z.6
Liu, D.7
Wu, D.8
-
31
-
-
84874030317
-
3D tubular structure extraction using kernel-based superellipsoid model with gaussian process regression
-
Q. Zhu, D. Zheng, and H. Xiong. 3D Tubular Structure Extraction Using Kernel-Based Superellipsoid Model with Gaussian Process Regression. In VCIP, pages 1-6, 2012.
-
(2012)
VCIP
, pp. 1-6
-
-
Zhu, Q.1
Zheng, D.2
Xiong, H.3
|