20.8.3 Tomographic Object Construction, Object Extraction, Analysis, Organs

Chapter Contents (Back)
Reconstruction. Tomography.

Herman, G.T.[Gabor T.], Rowland, S.W.[Stuart W.],
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Herman, G.T., Lakshminarayanan, A.V., Rowland, S.W.,
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From X-Ray shadowgraphs. Reconstruction from a limited number. BibRef

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Wagner, W.,
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IEEE Top Reference. 0203
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Kamath, M., Chaudhuri, S., Desai, U.B.,
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Zheng, Y.B.[Yi-Bin], Doerschuk, P.C.,
3-D Image Reconstruction from Averaged Fourier Transform Magnitude by Parameter Estimation,
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IEEE DOI BibRef 9811
Earlier:
Reconstruction of viruses from solution X-ray scattering data,
ICIP95(I: 434-437).
IEEE DOI 9510
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Zheng, Y.B.[Yi-Bin], Li, T.[Tao], Doerschuk, P.C., Johnson, J.E.,
Low resolution 3D reconstructions of viruses from X-ray crystal diffraction data,
ICIP98(III: 358-360).
IEEE DOI 9810
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Gao, W.[Wen], Doerschuk, P.C.,
Reconstruction problems in 3D for viral cryo electron microscopy,
ICIP98(II: 706-708).
IEEE DOI 9810
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Doerschuk, P.C.,
X-ray crystallographic imaging,
ICIP94(III: 538-542).
IEEE DOI 9411
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Brodzik, A.K.[Andrzej K.], Mooney, J.M.[Jonathan M.],
Convex Projections Algorithm for Restoration of Limited-Angle Chromotomographic Images,
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Koss, J.E., Newman, F.D., Johnson, T.K., Kirch, D.L.,
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IEEE Top Reference. 0110
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Feng, J., Bao, S.L.,
Reconstruction of smooth distributions within unsmooth circumferences from limited views using filtered-backprojection algorithm,
IJIST(12), No. 3, 2002, pp. 93-96. 0210
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Feng, H.H.[Hai-Hua], Karl, W.C.[William Clem], Castanon, D.A.[David A.],
A curve evolution approach to object-based tomographic reconstruction,
IP(12), No. 1, January 2003, pp. 44-57.
IEEE DOI 0301
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Earlier: A1, A3, A2:
A Curve Evolution Approach for Image Segmentation Using Adaptive Flows,
ICCV01(II: 494-499).
IEEE DOI 0106
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And:
Object-based Reconstruction Using Coupled Tomographic Flows,
ICIP00(Vol II: 625-628).
IEEE DOI 0008
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And:
Tomographic Reconstruction using Curve Evolution,
CVPR00(I: 361-366).
IEEE DOI 0005
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Shi, Y.G.[Yong-Gang], Karl, W.C., Castafion, D.A.,
Dynamic tomography using curve evolution with spatial-temporal regularization,
ICIP02(II: 629-632).
IEEE DOI 0210
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Brankov, J.G., Yang, Y.Y.[Yong-Yi], Wernick, M.N.,
Tomographic Image Reconstruction Based on a Content-Adaptive Mesh Model,
MedImg(23), No. 2, February 2004, pp. 202-212.
IEEE Abstract. 0403
BibRef
Earlier:
Content-adaptive 3D mesh modeling for representation of volumetric images,
ICIP02(III: 849-852).
IEEE DOI 0210
BibRef
Earlier:
Tomographic Image Reconstruction Using Content-Adaptive Mesh Modeling,
ICIP01(I: 690-693).
IEEE DOI 0108
See also Fast Approach for Accurate Content-Adaptive Mesh Generation, A. BibRef

Brankov, J.G., Yang, Y.Y.[Yong-Yi], Galatsanos, N.P.,
Image restoration using content-adaptive mesh modeling,
ICIP03(II: 997-1000).
IEEE DOI 0312
BibRef

Yang, Y.Y.[Yong-Yi], Brankov, J.G., Wernick, M.N.,
Content-adaptive mesh modeling for fully-3D tomographic image reconstruction,
ICIP02(II: 621-624).
IEEE DOI 0210
BibRef

Brankov, J.G.[Jovan G.], Djordjevic, J.[Jaksa], Wernick, M.N.[Miles N.], Galatsanos, N.P.[Nikolas P.],
Tomographic Image Reconstruction for Systems with Partially-Known Blur,
ICIP99(III:881-885).
IEEE DOI BibRef 9900

Mesarovic, V.Z., Galatsanos, N.P., Wernick, M.N.,
Iterative maximum a posteriori (MAP) restoration from partially-known blur for tomographic reconstruction,
ICIP95(II: 512-515).
IEEE DOI 9510
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Soussen, C., Mohammad-Djafari, A.,
Polygonal and Polyhedral Contour Reconstruction in Computed Tomography,
IP(13), No. 11, November 2004, pp. 1507-1523.
IEEE DOI 0411
BibRef
Earlier:
Closed Surface Reconstruction in X-ray Tomography,
ICIP01(I: 718-721).
IEEE DOI 0108
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Mouravliansky, N., Matsopoulos, G.K., Delibasis, K., Asvestas, P., Nikita, K.S.,
Combining a morphological interpolation approach with a surface reconstruction method for the 3-D representation of tomographic data,
JVCIR(15), No. 4, December 2004, pp. 565-579.
WWW Link. 0711
Medical interpolation; Mathematical morphology; 3-D visualization; Surface reconstruction; Marching Cubes Algorithm BibRef

Sitek, A., Huesman, R.H., Gullberg, G.T.,
Tomographic reconstruction using an adaptive tetrahedral mesh defined by a point cloud,
MedImg(25), No. 9, September 2006, pp. 1172-1179.
IEEE DOI 0609
BibRef

Murphy, R.J., Yan, S., O'Sullivan, J.A., Snyder, D.L., Whiting, B.R., Politte, D.G., Lasio, G., Williamson, J.F.,
Pose Estimation of Known Objects During Transmission Tomographic Image Reconstruction,
MedImg(25), No. 10, October 2006, pp. 1392-1404.
IEEE DOI 0609
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Balazs, P.[Peter],
A decomposition technique for reconstructing discrete sets from four projections,
IVC(25), No. 10, 1 October 2007, pp. 1609-1619.
WWW Link. 0709
Discrete tomography; Reconstruction algorithm; Decomposable discrete set; Q-convexity; hv-Convexity BibRef

Balázs, P.[Péter], Batenburg, K.J.[Kees Joost],
A Central Reconstruction Based Strategy for Selecting Projection Angles in Binary Tomography,
ICIAR12(I: 382-391).
Springer DOI 1206
BibRef

Balázs, P.[Péter],
Reconstruction of Canonical hv-Convex Discrete Sets from Horizontal and Vertical Projections,
IWCIA09(280-288).
Springer DOI 0911
BibRef
Earlier:
Reconstruction of Binary Images with Few Disjoint Components from Two Projections,
ISVC08(II: 1147-1156).
Springer DOI 0812
BibRef
And:
On the Number of hv -Convex Discrete Sets,
IWCIA08(xx-yy).
Springer DOI 0804
BibRef
Earlier:
Generation and Empirical Investigation of hv -Convex Discrete Sets,
SCIA07(344-353).
Springer DOI 0706
CT Reconstructions. BibRef

Balázs, P.[Péter], Gara, M.[Mihály],
An Evolutionary Approach for Object-Based Image Reconstruction Using Learnt Priors,
SCIA09(520-529).
Springer DOI 0906
BibRef
Earlier:
Decision Trees in Binary Tomography for Supporting the Reconstruction of hv-Convex Connected Images,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Saucan, E.[Emil], Appleboim, E.[Eli], Barak-Shimron, E.[Efrat], Lev, R.[Ronen], Zeevi, Y.Y.[Yehoshua Y.],
Local versus Global in Quasi-Conformal Mapping for Medical Imaging,
JMIV(32), No. 3, November 2008, pp. xx-yy.
Springer DOI 0810
BibRef

Saucan, E.[Emil], Appleboim, E.[Eli], Zeevi, Y.Y.[Yehoshua Y.],
Sampling and Reconstruction of Surfaces and Higher Dimensional Manifolds,
JMIV(30), No. 1, January 2008, pp. 105-123.
Springer DOI 0801
BibRef
And: JMIV(34), No. 3, July 2009, pp. xx-yy.
Springer DOI 0906
BibRef
Earlier:
Geometric Sampling of Manifolds for Image Representation and Processing,
SSVM07(907-918).
Springer DOI 0705
Sampling theorem for embedding images in manifolds. BibRef

Saucan, E., Wolansky, G., Appleboim, E., Zeevi, Y.Y.,
Combinatorial Ricci Curvature and Laplacians for Image Processing,
CISP09(1-6).
IEEE DOI 0910
BibRef

Appleboim, E.[Eli], Saucan, E.[Emil], Zeevi, Y.Y.[Yehoshua Y.],
Quasi-conformal Flat Representation of Triangulated Surfaces for Computerized Tomography,
CVAMIA06(155-165).
Springer DOI 0605
BibRef

Appleboim, E.[Eli], Saucan, E.[Emil], Zeevi, Y.Y.[Yehoshua Y.], Zeitoun, O.[Ofir],
Quasi-isometric and Quasi-conformal Development of Triangulated Surfaces for Computerized Tomography,
IWCIA06(361-374).
Springer DOI 0606
BibRef

Saucan, E.[Emil],
Isometric Embeddings in Imaging and Vision: Facts and Fiction,
JMIV(43), No. 2, June 2012, pp. 143-155.
WWW Link. 1204
BibRef

Wang, H.[Hongkai], Stout, D.B., Chatziioannou, A.F.,
Estimation of Mouse Organ Locations Through Registration of a Statistical Mouse Atlas With Micro-CT Images,
MedImg(31), No. 1, January 2012, pp. 88-102.
IEEE DOI 1201
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Bagci, U., Chen, X., Udupa, J.K.,
Hierarchical Scale-Based Multiobject Recognition of 3-D Anatomical Structures,
MedImg(31), No. 3, March 2012, pp. 777-789.
IEEE DOI 1203
BibRef

Dufour, P.A., Ceklic, L., Abdillahi, H., Schroder, S., De Dzanet, S., Wolf-Schnurrbusch, U., Kowal, J.,
Graph-Based Multi-Surface Segmentation of OCT Data Using Trained Hard and Soft Constraints,
MedImg(32), No. 3, March 2013, pp. 531-543.
IEEE DOI 1303
OCT: Optical Coherence Tomography. BibRef

Kamiya, N.[Naoki], Zhou, X.R.[Xiang-Rong], Chen, H.[Huayue], Muramatsu, C.[Chisako], Hara, T.[Takeshi], Fujita, H.[Hiroshi],
Model-Based Approach to Recognize the Rectus Abdominis Muscle in CT Images,
IEICE(E96-D), No. 4, April 2013, pp. 869-871.
WWW Link. 1304
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Xu, X.[Xu], Cui, Y.[Yi], Guo, S.[Shuxu],
Statistical Edge Detection in CT Image by Kernel Density Estimation and Mean Square Error Distance,
IEICE(E96-D), No. 5, May 2013, pp. 1162-1170.
WWW Link. 1305
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Bhole, C.[Chetan], Pal, C.[Christopher], Rim, D.[David], Wismüller, A.[Axel],
3D segmentation of abdominal CT imagery with graphical models, conditional random fields and learning,
MVA(25), No. 2, February 2014, pp. 301-325.
WWW Link. 1402
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Mendonca, P.R.S., Lamb, P., Sahani, D.V.,
A Flexible Method for Multi-Material Decomposition of Dual-Energy CT Images,
MedImg(33), No. 1, January 2014, pp. 99-116.
IEEE DOI 1402
computerised tomography BibRef

Bajger, M.[Mariusz], Lee, G.[Gobert], Caon, M.[Martin],
3D Segmentation for Multi-Organs in CT Images,
ELCVIA(12), No. 2, 2013, pp. xx-yy.
WWW Link. 1403
BibRef

Liu, H.[Hao], Zhu, G.H.[Guan-Hua], Zhao, J.N.[Jian-Ning], Qian, H.B.[Hong-Bo], Dai, N.[Ning],
Recognition of Occlusions in CT Images Using a Curve-Based Parameterization Method,
IJIG(13), No. 04, 2013, pp. 1350018.
DOI Link 1404
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Sampedro, F.[Frederic], Escalera, S.[Sergio], Puig, A.[Anna],
Iterative multi-class multi-scale stacked sequential learning: Definition and application to medical volume segmentation,
PRL(46), No. 1, 2014, pp. 1-10.
Elsevier DOI 1407
Machine learning BibRef

Sampedro, F.[Frederic], Escalera, S.[Sergio],
Spatial codification of label predictions in multi-scale stacked sequential learning: a case study on multi-class medical volume segmentation,
IET-CV(9), No. 3, 2015, pp. 439-446.
DOI Link 1507
image classification BibRef

Kainz, B., Steinberger, M., Wein, W., Kuklisova-Murgasova, M., Malamateniou, C., Keraudren, K., Torsney-Weir, T., Rutherford, M., Aljabar, P., Hajnal, J.V., Rueckert, D.,
Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices,
MedImg(34), No. 9, September 2015, pp. 1901-1913.
IEEE DOI 1509
Approximation methods BibRef

Martin, L., Tuysuzoglu, A., Karl, W.C., Ishwar, P.,
Learning-Based Object Identification and Segmentation Using Dual-Energy CT Images for Security,
IP(24), No. 11, November 2015, pp. 4069-4081.
IEEE DOI 1509
computerised tomography BibRef

Barquero, H., Brasse, D.,
Small Animal In Vivo X-Ray Tomosynthesis: Anatomical Relevance of the Reconstructed Images,
MedImg(35), No. 2, February 2016, pp. 373-380.
IEEE DOI 1602
Animals BibRef

Popuri, K., Cobzas, D., Esfandiari, N., Baracos, V., Jagersand, M.,
Body Composition Assessment in Axial CT Images Using FEM-Based Automatic Segmentation of Skeletal Muscle,
MedImg(35), No. 2, February 2016, pp. 512-520.
IEEE DOI 1602
Computed tomography BibRef

Jimenez-del-Toro, O., Müller, H., Krenn, M., Gruenberg, K., Taha, A.A., Winterstein, M., Eggel, I., Foncubierta-Rodríguez, A., Goksel, O., Jakab, A., Kontokotsios, G., Langs, G., Menze, B.H., Salas Fernandez, T., Schaer, R., Walleyo, A., Weber, M.A., Dicente Cid, Y., Gass, T., Heinrich, M., Jia, F., Kahl, F., Kechichian, R., Mai, D., Spanier, A.B., Vincent, G., Wang, C., Wyeth, D., Hanbury, A.,
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks,
MedImg(35), No. 11, November 2016, pp. 2459-2475.
IEEE DOI 1609
Anatomical structure BibRef

Farag, A., Lu, L., Roth, H.R., Liu, J., Turkbey, E., Summers, R.M.,
A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling,
IP(26), No. 1, January 2017, pp. 386-399.
IEEE DOI 1612
biological organs BibRef


Inoue, T.[Tsutomu], Kitamura, Y.[Yoshiro], Li, Y.Z.[Yuan-Zhong], Ito, W.[Wataru], Ishikawa, H.[Hiroshi],
Psoas Major Muscle Segmentation Using Higher-Order Shape Prior,
MCV15(116-124).
Springer DOI 1608
abdominal CT images BibRef

Wang, L.[Li], Gao, Y.Z.[Yao-Zong], Shi, F.[Feng], Li, G.[Gang], Chen, K.C.[Ken-Chung], Tang, Z.[Zhen], Xia, J.J.[James J.], Shen, D.G.[Ding-Gang],
Automated Segmentation of CBCT Image with Prior-Guided Sequential Random Forest,
MCV15(72-82).
Springer DOI 1608
BibRef

Karasawa, K.[Ken'ichi], Kitasaka, T.[Takayuki], Oda, M.[Masahiro], Nimura, Y.[Yukitaka], Hayashi, Y.[Yuichiro], Fujiwara, M.[Michitaka], Misawa, K.[Kazunari], Rueckert, D.[Daniel], Mori, K.[Kensaku],
Structure Specific Atlas Generation and Its Application to Pancreas Segmentation from Contrasted Abdominal CT Volumes,
MCV15(47-56).
Springer DOI 1608
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Zografos, V.[Vasileios], Valentinitsch, A.[Alexander], Rempfler, M.[Markus], Tombari, F.[Federico], Menze, B.[Bjoern],
Hierarchical Multi-Organ Segmentation Without Registration in 3D Abdominal CT Images,
MCV15(37-46).
Springer DOI 1608
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Amaral, T.[Telmo], Kyriazakis, I.[Ilias], McKenna, S.J.[Stephen J.], Plotz, T.[Thomas ],
Weighted atlas auto-context with application to multiple organ segmentation,
WACV16(1-9)
IEEE DOI 1606
Computational modeling BibRef

Yamada, M.[Mitsunori], Hontani, H.[Hidekata], Matsuzoe, H.[Hiroshi],
A Study on Model Selection from the q-Exponential Distribution for Constructing an Organ Point Distribution Model,
MCBMIIA15(258-269).
Springer DOI 1603
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Kim, H., Thiagarajan, J.J., Bremer, P.T.,
A Randomized Ensemble Approach to Industrial CT Segmentation,
ICCV15(1707-1715)
IEEE DOI 1602
Computed tomography BibRef

Okagawa, A.[Asuka], Oyamada, Y.[Yuji], Mochizuki, Y.[Yoshihiko], Ishikawa, H.[Hiroshi],
Multi-organ segmentation by minimization of higher-order energy for CT boundary,
MVA15(547-550)
IEEE DOI 1507
Biomedical imaging BibRef

Morita, M.[Minato], Okagawa, A.[Asuka], Oyamada, Y.[Yuji], Mochizuki, Y.[Yoshihiko], Ishikawa, H.[Hiroshi],
Multiple-organ segmentation based on spatially-divided neighboring data energy,
MVA15(158-161)
IEEE DOI 1507
Biomedical imaging BibRef

Keatmanee, C.[Chadaporn], Makhanov, S.S.[Stanislav S.], Kotani, K.[Kazunori], Kondo, T.[Toshiaki], Thongvigitmanee, S.S.[Saowapak S.],
Inferior alveolar canal segmentation in cone beam computed tomography images using an adaptive diffusion flow active contour model,
MVA15(57-60)
IEEE DOI 1507
Active contours BibRef

Boulemnadjel, A., Hachouf, F.[Fella],
A new method for finding clusters embedded in subspaces applied to medical tomography scan image,
IPTA12(383-390)
IEEE DOI 1503
computerised tomography BibRef

Wang, C.L.[Chun-Liang], Smedby, O.[Orjan],
Automatic Multi-organ Segmentation in Non-enhanced CT Datasets Using Hierarchical Shape Priors,
ICPR14(3327-3332)
IEEE DOI 1412
Biomedical imaging BibRef

Kamencay, P., Zachariasova, M., Hudec, R., Benco, M., Radil, R.,
3D image reconstruction from 2D CT slices,
3DTV-CON14(1-4)
IEEE DOI 1409
computerised tomography BibRef

Bateman, C.J., McMahon, J., Malpas, A., de Ruiter, N., Bell, S., Butler, A.P., Butler, P.H., Renaud, P.F.,
Segmentation enhances material analysis in multi-energy CT: A simulation study,
IVCNZ13(190-195)
IEEE DOI 1402
computerised tomography BibRef

Chen, J., Millane, R.,
Diffraction by small crystals with incomplete unit cells,
IVCNZ13(65-69)
IEEE DOI 1402
X-ray crystallography BibRef

Li, S.[Shuai], Zhao, Q.P.[Qin-Ping], Wang, S.F.[Sheng-Fa], Hao, A.[Aimin], Qin, H.[Hong],
Multi-scale, multi-level, heterogeneous features extraction and classification of volumetric medical images,
ICIP13(1418-1422)
IEEE DOI 1402
CUDA BibRef

Dang, K.[Kang], Yuan, J.S.[Jun-Song], Tiong, H.Y.[Ho Yee],
Voxel labelling in CT images with data-driven contextual features,
ICIP13(680-684)
IEEE DOI 1402
Biomedical imaging BibRef

Weinlich, A.[Andreas], Amon, P.[Peter], Hutter, A.[Andreas], Kaup, A.[Andre],
Edge modeling prediction for computed tomography images,
VCIP12(1-6).
IEEE DOI 1302
BibRef

Vantaram, S.R.[Sreenath Rao], Saber, E.[Eli], Dianat, S.[Sohail], Hu, Y.[Yang], Abhyankar, V.[Vishwas],
Semi-automatic 3-D segmentation of Computed Tomographic imagery by iterative gradient-driven volume growing,
ICIP11(2857-2860).
IEEE DOI 1201
BibRef

Yang, W.[Wei], Wang, X.L.[Xiao-Long], Lin, L.[Liang], Gao, C.Y.[Cheng-Ying],
Interactive CT image segmentation with online discriminative learning,
ICIP11(425-428).
IEEE DOI 1201
BibRef

Bhole, C.[Chetan], Morsillo, N.[Nicholas], Pal, C.[Christopher],
3D Segmentation in CT Imagery with Conditional Random Fields and Histograms of Oriented Gradients,
MLMI11(326-334).
Springer DOI 1109
BibRef

Guedon, J.P.[Jean-Pierre], Liu, C.L.[Chuan-Lin],
The 2 and 3 materials scene reconstructed from some line Mojette projections,
IPTA10(189-194).
IEEE DOI 1007
Mojette projection for more images in tomography reconstruction. BibRef

Song, S.M.[Soo-Min], Kim, M.H.[Myoung-Hee],
Segmentation of Abdominal Organs Incorporating Prior Knowledge in Small Animal CT,
ISVC10(III: 209-218).
Springer DOI 1011
BibRef

Ding, F.[Feng], Leow, W.K.[Wee Kheng], Venkatesh, S.[Sudhakar],
Removal of abdominal wall for 3D visualization and segmentation of organs in CT volume,
ICIP09(3377-3380).
IEEE DOI 0911
BibRef

Ouzounis, G.K.[Georgios K.], Giannakopoulos, S.[Stilianos], Simopoulos, C.E.[Constantinos E.], Wilkinson, M.H.F.[Michael H.F.],
Robust extraction of urinary stones from CT data using attribute filters,
ICIP09(2629-2632).
IEEE DOI 0911
BibRef

Gaullier, G.[Gil], Charbonnier, P.[Pierre], Heitz, F.[Fabrice],
Introducing shape priors in object-based tomographic reconstruction,
ICIP09(1077-1080).
IEEE DOI 0911
BibRef

Yang, H.F.[Huei-Fang], Choe, Y.S.[Yoon-Suck],
3D volume extraction of densely packed cells in EM data stack by forward and backward graph cuts,
CIMSVP09(47-52).
IEEE DOI 0903
BibRef

Shinohara, T.,
Segmentation of Intertwining Stringlike Objects in Three Dimensional CT Image Based on Positional Information,
IMVIP09(30-35).
IEEE DOI 0909
BibRef

Pednekar, A.S.[Amol S.], Bandekar, A.N.[Alok N.], Kakadiaris, I.A.[Ioannis A.], Naghavi, M.[Morteza],
Automatic Segmentation of Abdominal Fat from CT Data,
WACV05(I: 308-315).
IEEE DOI 0502
BibRef

Kaneko, T., Gu, L., Fujimoto, H.,
Abdominal Organ Recognition Using 3d Mathematical Morphology,
ICPR00(Vol II: 263-266).
IEEE DOI 0009
BibRef

Lagrange, J., Dauty, I., and Azencott, R.,
Tomographic Reconstruction of Axisymmetrical Objects From One View by Model Approximation,
ICIP97(I: 492-495).
IEEE DOI BibRef 9700

Hohne, K.H., Bomans, M., Pommert, A., Riemer, M., Tiede, U.,
3D-segmentation and display of tomographic imagery,
ICPR88(II: 1271-1276).
IEEE DOI 8811
BibRef

Magnusson, M., Lenz, R., Danielsson, P.E.,
Evaluation of methods for shaded surface display of CT-volumes,
ICPR88(II: 1287-1294).
IEEE DOI 8811
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Liver Disease, Tomography, CAT Analysis .


Last update:Mar 13, 2017 at 16:25:24