map3d: Interactive scientific visualization tool
for bioengineering data,
2006.
Code, 3-D Visualization.
HTML Version. Scientific visualization application written to display and edit
complex, three-dimensional geometric models and scalar, time-based
data associated with those models.
Seg3D: Volumetric Image Segmentation and Visualization,
2006.
Code, 3-D Segmentation.
HTML Version. Interactive segmentation tool that mixes powerful ITK and NRRD based
volumetric image analysis and segmentation tools, interactive
painting, and advanced volume rendering.
Udupa, J.K.[Jayaram K.],
Interactive Segmentation and Boundary Surface Formation for
3-D Digital Images,
CGIP(18), No. 3, March 1982, pp. 213-235.
Elsevier DOI
BibRef
8203
Falcao, A.X.,
Bergo, F.P.G.,
Interactive Volume Segmentation With Differential Image Foresting
Transforms,
MedImg(23), No. 9, September 2004, pp. 1100-1108.
IEEE Abstract.
0409
BibRef
Benmansour, F.[Fethallah],
Cohen, L.D.[Laurent D.],
Fast Object Segmentation by Growing Minimal Paths from a Single Point
on 2D or 3D Images,
JMIV(33), No. 2, February 2009, pp. xx-yy.
Springer DOI
0903
BibRef
Benmansour, F.[Fethallah],
Cohen, L.D.[Laurent D.],
Tubular Structure Segmentation Based on Minimal Path Method and
Anisotropic Enhancement,
IJCV(92), No. 2, April 2011, pp. 192-210.
WWW Link.
1103
BibRef
Benmansour, F.[Fethallah],
Cohen, L.D.[Laurent D.],
From a Single Point to a Surface Patch by Growing Minimal Paths,
SSVM09(648-659).
Springer DOI
0906
BibRef
Benmansour, F.[Fethallah],
Bonneau, S.[Stephane],
Cohen, L.D.[Laurent D.],
Finding a Closed Boundary by Growing Minimal Paths from a Single Point
on 2D or 3D Images,
MMBIA07(1-8).
IEEE DOI
0710
BibRef
Tasli, H.E.[H. Emrah],
Alatan, A.A.[A. Aydin],
User assisted disparity remapping for stereo images,
SP:IC(28), No. 10, 2013, pp. 1374-1389.
Elsevier DOI
1312
BibRef
Earlier:
User assisted stereo image segmentation,
3DTV12(1-4).
IEEE DOI
1212
BibRef
And:
Interactive object segmentation for mono and stereo applications:
Geodesic prior induced graph cut energy minimization,
HICV11(1256-1263).
IEEE DOI
1201
Disparity remapping
BibRef
Paulhac, L.[Ludovic],
Ramel, J.Y.[Jean-Yves],
Makris, P.[Pascal],
A combined topological and statistical approach for interactive
segmentation of 3D images,
MVA(24), No. 6, August 2013, pp. 1239-1253.
WWW Link.
1307
BibRef
Paulhac, L.[Ludovic],
Makris, P.[Pascal],
Ramel, J.Y.[Jean-Yves],
Gregoire, J.M.[Jean-Marc],
A framework of perceptual features for the characterisation of 3D
textured images,
SIViP(9), No. 2, February 2015, pp. 305-329.
Springer DOI
1503
BibRef
Delgado-Gonzalo, R.,
Chenouard, N.,
Unser, M.,
Spline-Based Deforming Ellipsoids for Interactive 3D Bioimage
Segmentation,
IP(22), No. 10, 2013, pp. 3926-3940.
IEEE DOI
1309
3D
BibRef
Schmitter, D.,
Delgado-Gonzalo, R.,
Unser, M.,
Trigonometric Interpolation Kernel to Construct Deformable Shapes for
User-Interactive Applications,
SPLetters(22), No. 11, November 2015, pp. 2097-2101.
IEEE DOI
1509
computational geometry
See also Efficient Shape Priors for Spline-Based Snakes.
BibRef
Badoual, A.[Anais],
Schmitter, D.[Daniel],
Unser, M.[Michael],
An Inner-Product Calculus for Periodic Functions and Curves,
SPLetters(23), No. 6, June 2016, pp. 878-882.
IEEE DOI
1606
BibRef
And:
Local refinement for 3D deformable parametric surfaces,
ICIP16(1086-1090)
IEEE DOI
1610
Biological system modeling
Approximation methods
BibRef
Badoual, A.[Anais],
Schmitter, D.[Daniel],
Unser, M.[Michael],
Locally refinable parametric snakes,
ICIP15(354-358)
IEEE DOI
1512
active contour
BibRef
Schmitter, D.[Daniel],
Gaudet-Blavignac, C.[Christophe],
Piccini, D.[Davide],
Unser, M.[Michael],
New parametric 3D snake for medical segmentation of structures with
cylindrical topology,
ICIP15(276-280)
IEEE DOI
1512
3D segmentation; active contours; aorta; medical; spline snakes; splines
BibRef
Badoual, A.[Anaïs],
Romani, L.[Lucia],
Unser, M.[Michael],
Active Subdivision Surfaces for the Semiautomatic Segmentation of
Biomedical Volumes,
IP(30), 2021, pp. 5739-5753.
IEEE DOI
2106
Surface treatment, Shape, Optimization, Image segmentation,
Deformable models, Biomedical imaging
BibRef
Schmitter, D.,
Unser, M.,
Shape Projectors for Landmark-Based Spline Curves,
SPLetters(24), No. 10, October 2017, pp. 1517-1521.
IEEE DOI
1710
geometry, interactive systems, medical image processing,
two-dimensional landmark-based parametric spline curves,
projector, shape prior, splines
BibRef
Schmitter, D.,
Unser, M.,
Landmark-Based Shape Encoding and Sparse-Dictionary Learning in the
Continuous Domain,
IP(27), No. 1, January 2018, pp. 365-378.
IEEE DOI
1712
affine transforms, data analysis, data structures,
learning (artificial intelligence), medical image processing,
splines
BibRef
Hershkovich, T.[Tsachi],
Shalmon, T.[Tamar],
Shitrit, O.[Ohad],
Halay, N.[Nir],
Menze, B.H.[Bjoern H.],
Dolgopyat, I.[Irit],
Kahn, I.[Itamar],
Shelef, I.[Ilan],
Raviv, T.R.[Tammy Riklin],
Probabilistic model for 3D interactive segmentation,
CVIU(151), No. 1, 2016, pp. 47-60.
Elsevier DOI
1610
Image segmentation. Probabilistic spatial term in level-set functional.
CT, MRI, etc.
BibRef
Ma, W.,
Qin, Y.,
Yang, L.,
Xu, S.,
Zhang, X.,
Interactive Stereo Image Segmentation With RGB-D Hybrid Constraints,
SPLetters(23), No. 11, November 2016, pp. 1533-1537.
IEEE DOI
1609
graph theory
BibRef
Chen, T.[Tao],
Zhu, Z.[Zhe],
Hu, S.M.[Shi-Min],
Cohen-Or, D.[Daniel],
Shamir, A.[Ariel],
Extracting 3D Objects from Photographs Using 3-Sweep,
CACM(59), No. 3, March 2016, pp. 121-129.
DOI Link
1612
Interactive Segmentation. We introduce an interactive technique to extract and manipulate simple
3D shapes in a single photograph.
BibRef
Mei, J.,
Zhang, L.,
Wang, Y.,
Zhu, Z.,
Ding, H.,
Joint Margin, Cograph, and Label Constraints for Semisupervised Scene
Parsing From Point Clouds,
GeoRS(56), No. 7, July 2018, pp. 3800-3813.
IEEE DOI
1807
Feature extraction, Linear programming, Linear regression,
Manifolds, Silicon, Training data,
point cloud
BibRef
Ma, C.F.[Chao-Fan],
Xu, Q.S.[Qi-Sen],
Wang, X.F.[Xiang-Feng],
Jin, B.[Bo],
Zhang, X.Y.[Xiao-Yun],
Wang, Y.F.[Yan-Feng],
Zhang, Y.[Ya],
Boundary-Aware Supervoxel-Level Iteratively Refined Interactive 3D
Image Segmentation With Multi-Agent Reinforcement Learning,
MedImg(40), No. 10, October 2021, pp. 2563-2574.
IEEE DOI
2110
Image segmentation, Reinforcement learning,
Task analysis, Heuristic algorithms, deep reinforcement learning
BibRef
Liao, X.[Xuan],
Li, W.H.[Wen-Hao],
Xu, Q.S.[Qi-Sen],
Wang, X.F.[Xiang-Feng],
Jin, B.[Bo],
Zhang, X.Y.[Xiao-Yun],
Wang, Y.F.[Yan-Feng],
Zhang, Y.[Ya],
Iteratively-Refined Interactive 3D Medical Image Segmentation with
Multi-Agent Reinforcement Learning,
CVPR20(9391-9399)
IEEE DOI
2008
Image segmentation, Biomedical imaging,
Task analysis, Space exploration,
Uncertainty
BibRef
Deng, J.J.[Jing-Jing],
Xie, X.H.[Xiang-Hua],
3D Interactive Segmentation With Semi-Implicit Representation and
Active Learning,
IP(30), 2021, pp. 9402-9417.
IEEE DOI
2112
Image segmentation, Shape, Image color analysis,
Bayes methods, Splines (mathematics),
cardiovascular image segmentation
BibRef
Hui, C.P.,
Pang, W.M.,
Tian, V.I.,
Collaborative 3D accessories customization and trading through web
interface,
3DTV-CON17(1-4)
IEEE DOI
1804
Interactive 3D. Internet, solid modelling, 3D collaborative editing,
DIY experiences, Web interface, cloud technologies,
Three-dimensional printing
BibRef
Chen, D.J.[Ding-Jie],
Chen, H.T.[Hwann-Tzong],
Chang, L.W.[Long-Wen],
Interactive Segmentation from 1-Bit Feedback,
ACCV16(I: 261-274).
Springer DOI
1704
BibRef
Oh, C.J.[Chang-Jae],
Ham, B.[Bumsub],
Sohn, K.H.[Kwang-Hoon],
Point-Cut: Interactive Image Segmentation Using Point Supervision,
ACCV16(I: 229-244).
Springer DOI
1704
BibRef
Feng, J.,
Price, B.L.[Brian L.],
Cohen, S.[Scott],
Chang, S.F.,
Interactive Segmentation on RGBD Images via Cue Selection,
CVPR16(156-164)
IEEE DOI
1612
BibRef
Oude Elberink, S.,
Kemboi, B.,
User-assisted Object Detection by Segment Based Similarity Measures in
Mobile Laser Scanner Data,
PCV14(239-246).
DOI Link
1404
BibRef
Heckel, F.[Frank],
Ivanov, M.I.[Momchil I.],
Moltz, J.H.[Jan H.],
Hahn, H.K.[Horst K.],
Toward Automated Validation of Sketch-Based 3D Segmentation Editing
Tools,
SCIA13(256-265).
Springer DOI
1311
BibRef
Lin, C.Z.[Cai-Zhang],
Varekamp, C.[Chris],
Hinnen, K.[Karel],
de Haan, G.[Gerard],
Interactive Disparity Map Post-processing,
3DIMPVT12(448-455).
IEEE DOI
1212
Interactive in smooth regions, boundaries, occlusions.
BibRef
van Baar, J.[Jeroen],
Beardsley, P.[Paul],
Pollefeys, M.[Marc],
Gross, M.[Markus],
Interactive video segmentation supported by multiple modalities, with
an application to depth maps,
3DTV12(1-4).
IEEE DOI
1212
BibRef
Gulshan, V.[Varun],
Lempitsky, V.[Victor],
Zisserman, A.[Andrew],
Humanising GrabCut: Learning to segment humans using the Kinect,
ConDepth11(1127-1133).
IEEE DOI
1201
BibRef
Paulhac, L.[Ludovic],
Ramel, J.Y.[Jean-Yves],
Renard, T.[Tom],
Interactive Segmentation of 3D Images Using a Region Adjacency Graph
Representation,
ICIAR11(I: 354-364).
Springer DOI
1106
BibRef
Top, A.[Andrew],
Hamarneh, G.[Ghassan],
Abu-Gharbieh, R.[Rafeef],
Spotlight: Automated Confidence-Based User Guidance for Increasing
Efficiency in Interactive 3D Image Segmentation,
MCV10(204-213).
Springer DOI
1009
BibRef
Mory, B.[Benoit],
Ardon, R.[Roberto],
Yezzi, A.J.[Anthony J.],
Thiran, J.P.[Jean-Philippe],
Non-Euclidean image-adaptive Radial Basis Functions for 3D interactive
segmentation,
ICCV09(787-794).
IEEE DOI
0909
See also Variational Segmentation using Fuzzy Region Competition and Local Non-Parametric Probability Density Functions.
BibRef
Huang, R.Z.[Run-Zhen],
Ma, K.L.[Kwan-Liu],
A Three-Level Graph Based Interactive Volume Segmentation System,
ISVC05(143-150).
Springer DOI
0512
BibRef
Dance, C.R.,
Syn, M.H.,
Prager, R.W.,
Gosling, J.P.M.,
Berman, L.H.,
Dalton, K.J.,
Interactive segmentation of 3D ultrasound using deformable solid models
and active contours,
CIAP97(II: 412-419).
Springer DOI
9709
BibRef
Rouhani, B.M.,
Worrall, A.D.,
Anderson, J.A.D.W.,
An Interactive CAD-Based Vision System,
BMVC95(xx-yy).
PDF File.
9509
BibRef
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Snakes, Global Fits, Fitting Specific Models .