11.8.9 Deformable Models, Medical Applications

Chapter Contents (Back)
Deformable Solids. Medical Applications. Application, Medical.
See also Surface Matching, Deformable Surface Matching.

Brinkley, J.F.,
Knowledge-Driven Ultrasonic Three-Dimensional Organ Modeling,
PAMI(7), No. 4, July 1985, pp. 431-441. BibRef 8507

Delibasis, K., Undrill, P.E.,
Anatomical Object Recognition Using Deformable Geometric-Models,
IVC(12), No. 7, September 1994, pp. 423-433.
Elsevier DOI Specific objects in 3D datasets. BibRef 9409

Davatzikos, C., Bryan, N.,
Using a Deformable Surface Model to Obtain a Shape Representation of the Cortex,
MedImg(15), No. 6, December 1996, pp. 785-795.
IEEE Top Reference. 0203
BibRef
Earlier: SCV95(212-217).
IEEE DOI Johns Hopkins University. BibRef

Radeva, P.I., Amini, A.A., Huang, J.T.,
Deformable B-Solids and Implicit Snakes for 3D Localization and Tracking of SPAMM MRI Data,
CVIU(66), No. 2, May 1997, pp. 163-178.
DOI Link 9705
BibRef

Radeva, P.I., Amini, A.A., Huang, J.T., Marti, E.,
Deformable B-Solids and Implicit Snakes for Localization and Tracking of MRI-SPAMM Data,
MMBIA96(DEFORMABLE MODELS I) BibRef 9600

Hanson, K.M., Cunningham, G.S., McKee, R.J.,
Uncertainty Assessment for Reconstructions Based on Deformable Geometry,
IJIST(8), No. 6, 1997, pp. 506-512. 9712
BibRef

Nwodoh, T., Nnaji, B., Popplestone, R., Lach, E.,
3-Dimensional Model Acquisition for Medical Robotics-Assisted Burn Debridement System,
RobCIM(13), No. 4, December 1997, pp. 309-318. 9801
BibRef

Choi, S.M., Lee, J.E., Kim, J., Kim, M.H.,
Volumetric Object Reconstruction Using the 3D-MRF Model-Based Segmentation,
MedImg(16), No. 6, December 1997, pp. 887-892.
IEEE Top Reference. 9803
BibRef

Hall, P., Ngan, M., Andreae, P.,
Reconstruction of Vascular Networks Using 3-Dimensional Models,
MedImg(16), No. 6, December 1997, pp. 919-929.
IEEE Top Reference. 9803
BibRef

Ahmed, M.N., Farag, A.A.,
2-Stage Neural-Network for Volume Segmentation of Medical Images,
PRL(18), No. 11-13, November 1997, pp. 1143-1151. 9806
BibRef

Davis, M.H., Khotanzad, A., Flamig, D.P., and Harms, S.E.,
A physics-based coordinate transformation for 3-D image matching,
MedImg(16), No. 3, June 1997, pp. 317-328.
IEEE Top Reference. 0205
BibRef
Earlier:
Coordinate Transformation in 3D Image Matching by a Physics Based Method: Elastic Body Splines,
SCV95(218-222).
IEEE DOI BibRef
And:
Curvature measurement of 3D objects: evaluation and comparison of three methods,
ICIP95(II: 627-630).
IEEE DOI 9510
Southern Methodist University. Baylor Univ. Medical Canter. BibRef

Tolias, Y.A., Panas, S.M.,
A Fuzzy Vessel Tracking Algorithm for Retinal Images Based on Fuzzy Clustering,
MedImg(17), No. 2, April 1998, pp. 263-273.
IEEE Top Reference. 9808

See also Image Segmentation by a Fuzzy Clustering-Algorithm Using Adaptive Spatially Constrained Membership Functions. BibRef

Tolias, Y.A., and Panas, S.M.,
On Applying Spatial Constraints in Fuzzy Image Clustering Using a Fuzzy Rule-Based System,
SPLetters(5), No. 10, October 1998, pp. 245-247.
IEEE Top Reference. BibRef 9810

Khaneja, N., Miller, M.I., Grenander, U.,
Dynamic Programming Generation of Curves on Brain Surfaces,
PAMI(20), No. 11, November 1998, pp. 1260-1265.
IEEE DOI 9811
Generate minimum curves on brain surfaces. BibRef

Liu, H.F.[Hua-Feng], Shi, P.C.[Peng-Cheng],
Meshfree particle method,
ICCV03(289-296).
IEEE DOI 0311
Representations based on computations on the nodes, not the mesh. BibRef

Dehmeshki, J.[Jamshid],
An adaptive segmentation and 3-D visualisation of the lungs,
PRL(20), No. 8, August 1999, pp. 919-926. BibRef 9908

Guimond, A.[Alexandre], Meunier, J.[Jean], Thirion, J.P.[Jean-Philippe],
Average Brain Models: A Convergence Study,
CVIU(77), No. 2, February 2000, pp. 192-210.
DOI Link 0003
BibRef

Staib, L.H.[Lawrence H.], and Duncan, J.S.[James S.],
Model-Based Deformable Surface Finding for Medical Images,
MedImg(15), No. 5, October 1996, pp. 720-731.
IEEE Top Reference. Global shape parameter. Smoothly deformable 3-d objects. MRI data. BibRef 9610

Shih, W.S.V.[Wen-Shiang Vincent], Lin, W.C.[Wei-Chung], Chen, C.T.[Chin-Tu],
Volumetric morphologic deformation method for intersubject image registration,
IJIST(11), No. 2, 2000, pp. 117-124. 0008

See also Morphologic Field Morphing: Contour Model-Guided Image Interpolation. BibRef

Shih, W.S.V.[Wen-Shiang Vincent], Lin, W.C.[Wei-Chung], Rhee, S.Y.[Sang-Yong], Chen, C.T.[Chin-Tu],
Morphologic Field Warping: A Volumetric Deformation Method for Medical Image Registration,
ICPR98(Vol II: 1680-1682).
IEEE DOI 9808
BibRef

Rifai, H., Bloch, I., Hutchinson, S.A., Wiart, J., and Garnero, L.,
Segmentation of the Skull Using Deformable Model and Taking Partial Volume Effect into Account,
MIA(4), No. 3, September 2000, pp. 219-233. BibRef 0009

Rifai, H., Bloch, I., Hutchinson, S.A., Wiart, J., and Garnero, L.,
Segmentation par modele deformable des regions osseuses de la tete dans les volume IRM,
Traitement du Signal(16), No. 4, 1999, pp. 319-330. BibRef 9900

Hsu, L.Y., Loew, M.H.,
Fully automatic 3D feature-based registration of multi-modality medical images,
IVC(19), No. 1-2, January 2001, pp. 75-85.
Elsevier DOI 0101
BibRef

McInerney, T., Terzopoulos, D.,
Deformable Models in Medical Image Analysis: A Survey,
MIA(1), No. 2, 1996, pp. 91-108. Survey, Deformable Models. BibRef 9600

McInerney, T., Terzopoulos, D.,
Topology adaptive deformable surfaces for medical image volume segmentation,
MedImg(18), No. 10, October 1999, pp. 840-850.
IEEE Top Reference. 0110
BibRef

Aliroteh, M.[Meisam], McInerney, T.[Tim],
SketchSurfaces: Sketch-Line Initialized Deformable Surfaces for Efficient and Controllable Interactive 3D Medical Image Segmentation,
ISVC07(I: 542-553).
Springer DOI 0711
BibRef

Pizer, S.M., Fritsch, D.S., Yushkevich, P.A., Johnson, V.E., Chaney, E.L.,
Segmentation, registration, and measurement of shape variation via image object shape,
MedImg(18), No. 10, October 1999, pp. 851-865.
IEEE Top Reference. 0110
BibRef

Rohr, K., Stiehl, H.S., Sprengel, R., Buzug, T.M., Weese, J., Kuhn, M.H.,
Landmark-based elastic registration using approximating thin-plate splines,
MedImg(20), No. 6, June 2001, pp. 526-534.
IEEE Top Reference. 0110
BibRef

Davatzikos, C., Shen, D.G.[Ding-Gang], Mohamed, A., Kyriacou, S.K.,
A framework for predictive modeling of anatomical deformations,
MedImg(20), No. 8, August 2001, pp. 836-843.
IEEE Top Reference. 0110
BibRef

Meier, D., Fisher, E.,
Parameter Space Warping: Shape-Based Correspondence between Morphologically Different Objects,
MedImg(21), No. 1, January 2002, pp. 31-47.
IEEE Top Reference. 0202
BibRef

Lukins, T.C., Fisher, R.B.,
Qualitative Characterization of Deforming Surfaces,
3DPVT06(287-293).
IEEE DOI 0606
BibRef

Joshi, S.C., Pizer, S.M., Fletcher, P.T., Yushkevich, P.A., Thall, A., Marron, J.S.,
Multiscale deformable model segmentation and statistical shape analysis using medial descriptions,
MedImg(21), No. 5, May 2002, pp. 538-550.
IEEE Top Reference. 0206
BibRef

Lu, C.L.[Cong-Lin], Pizer, S.M.[Stephen M.], Joshi, S.C.[Sarang C.],
A Markov Random Field Approach to Multi-scale Shape Analysis,
ScaleSpace03(416-431).
Springer DOI 0310
BibRef

Dosil, R.[Raquel], Pardo, X.M.[Xose M.],
Generalized ellipsoids and anisotropic filtering for segmentation improvement in 3D medical imaging,
IVC(21), No. 4, April 2003, pp. 325-343.
Elsevier DOI 0301
Noise, initial model position. BibRef

Dosil, R.[Raquel], Pardo, X.M.[Xosé M.], Fdez-Vidal, X.R.[Xosé R.],
Data-driven synthesis of composite-feature detectors for 3D image analysis,
IVC(24), No. 3, 1 March 2006, pp. 225-238.
Elsevier DOI 0604
3D image representation; Composite features; Multiresolution analysis; Mutual information; Hierarchical clustering BibRef

Zhu, Y.N.[Yan-Ning], Hall, T.J., Jiang, J.F.[Jing-Feng],
A Finite-Element Approach for Young's Modulus Reconstruction,
MedImg(22), No. 7, July 2003, pp. 890-901.
IEEE Abstract. 0308
For soft tissue reconstruction. BibRef

Rohde, G.K., Aldroubi, A., Dawant, B.M.,
The adaptive bases algorithm for intensity-based nonrigid image registration,
MedImg(22), No. 11, November 2003, pp. 1470-1479.
IEEE Abstract. 0311
BibRef

Thodberg, H.H., Rosholm, A.,
Application of the Active Shape Model in a commercial medical device for bone densitometry,
IVC(21), No. 12-13, December 2003, pp. 1155-1161.
Elsevier DOI 0401
BibRef
Earlier: BMVC01(Session 1: Modelling Shape).
HTML Version. Osteoporosis. Reconstruct Metacarpals. 0110
BibRef

Chui, H.[Haili], Rangarajan, A., Zhang, J.[Jie], Leonard, C.M.,
Unsupervised learning of an atlas from unlabeled point-sets,
PAMI(26), No. 2, February 2004, pp. 160-172.
IEEE Abstract. 0402
Learning deformable shapes. BibRef

Chui, H., Rangarajan, A.,
Learning an Atlas from Unlabeled Point-Sets,
MMBIA01(xx-yy). 0110
BibRef

Wang, Y.M.M.[Yong-Mei Michelle], Zhang, J.D.[Jing-Dan], Zhang, Z.P.[Zhun-Ping], Guo, B.N.[Bai-Ning],
Directional Coherence Interpolation For Three-dimensional Gray-level Images,
IJIG(4), No. 4, October 2004, pp. 535-561. 0410
BibRef
Earlier: A1, A3, A4, Only:
3D Image Interpolation Based on Directional Coherence,
MMBIA01(xx-yy). 0110
BibRef

Alberola-Lopez, C., Martin-Fernandez, M., Ruiz-Alzola, J.,
Comments on: A methodology for evaluation of boundary detection algorithms on medical images,
MedImg(23), No. 5, May 2004, pp. 658-660.
IEEE Abstract. 0406
Evaluation, Deformable Models. Claim that the methodology of:
See also methodology for evaluation of boundary detection algorithms on medical images, A. was not correct. Propose a new test for evaluation of the boundary. BibRef

Klein, S.[Stefan], Staring, M.[Marius], Pluim, J.P.W.[Josien P. W.],
Evaluation of Optimization Methods for Nonrigid Medical Image Registration Using Mutual Information and B-Splines,
IP(16), No. 12, December 2007, pp. 2879-2890.
IEEE DOI 0711
BibRef
Earlier:
A Comparison of Acceleration Techniques for Nonrigid Medical Image Registration,
WBIR06(151-159).
Springer DOI 0607

See also Adaptive Stochastic Gradient Descent Optimisation for Image Registration. BibRef

Sjostrand, K., Rostrup, E., Ryberg, C., Larsen, R., Studholme, C., Baezner, H., Ferro, J., Fazekas, F., Pantoni, L., Inzitari, D., Waldemar, G.,
Sparse Decomposition and Modeling of Anatomical Shape Variation,
MedImg(26), No. 12, December 2007, pp. 1625-1635.
IEEE DOI 0712
BibRef

Holden, M.,
A Review of Geometric Transformations for Nonrigid Body Registration,
MedImg(27), No. 1, January 2008, pp. 111-128.
IEEE DOI 0712
Survey, Deformable Registration. BibRef

Huang, X.L.[Xiao-Lei], Metaxas, D.N.[Dimitris N.],
Metamorphs: Deformable Shape and Appearance Models,
PAMI(30), No. 8, August 2008, pp. 1444-1459.
IEEE DOI 0806

See also Shape Registration in Implicit Spaces Using Information Theory and Free Form Deformations. BibRef

Huang, X.L.[Xiao-Lei], Metaxas, D.N.[Dimitris N.], Chen, T.[Ting],
Metamorphs: deformable shape and texture models,
CVPR04(I: 496-500).
IEEE DOI 0408
BibRef

Chen, T.[Ting], Metaxas, D.N.[Dimitris N.],
Integration of Gibbs prior models and deformable models for 3D medical image segmentation,
ICPR02(I: 719-722).
IEEE DOI 0211
BibRef

Mamic, G., Bennamoun, M.[Mohammed],
Automated Spline Surface Modeling and Matching for Recognition of Free-form Objects,
IJIG(4), No. 1, January 2004, pp. 51-84. 0401
BibRef

Fookes, C., Williams, J., Bennamoun, M.,
Global 3D Rigid Registration of Medical Images,
ICIP00(Vol II: 447-450).
IEEE DOI 0008
BibRef

Noblet, V.[Vincent], Heinrich, C.[Christian], Heitz, F.[Fabrice], Armspach, J.P.[Jean-Paul],
Accurate Inversion of 3-D Transformation Fields,
IP(17), No. 10, October 2008, pp. 1963-1968.
IEEE DOI 0809

See also 3-D Deformable Image Registration: A Topology Preservation Scheme Based on Hierarchical Deformation Models and Interval Analysis Optimization. BibRef

Musse, O., Heitz, F., Armspach, J.P.,
3D Deformable Image Matching Using Multiscale Minimization of Global Energy Functions,
CVPR99(II: 478-484).
IEEE DOI Registering MR data to reference. BibRef 9900

Feng, J.[Jun], Ip, H.H.S.[Horace H.S.],
A multi-resolution statistical deformable model (MISTO) for soft-tissue organ reconstruction,
PR(42), No. 7, July 2009, pp. 1543-1558.
Elsevier DOI 0903
BibRef
Earlier:
MISTO: A Multi-Resolution Deformable Model for Segmentation of Soft-Tissue Organs,
ICIP06(1909-1912).
IEEE DOI 0610
Statistical deformable models; Active shape model; Three-dimensional reconstruction BibRef

He, Q.Z.[Qi-Zhen], Ip, H.H.S.[Horace H.S.], Feng, J.[Jun], Cao, X.B.[Xian-Bin],
Mr-SDM: a novel statistical deformable model for object deformation,
VC(25), No. 5-7, May 2009, pp. xx-yy.
Springer DOI 0905
BibRef

Du, P.[Peng], Ip, H.H.S.[Horace H. S.], Hua, B.[Bei], Feng, J.[Jun],
Using surface variability characteristics for segmentation of deformable 3D objects with application to piecewise statistical deformable model,
VC(28), No. 5, May 2012, pp. 493-509.
WWW Link. 1204
BibRef

Rami-Shojaei, S.[Sabrina], Vachier, C.[Corinne], Schmitt, C.[Christophe],
Automatic analysis of 2D foam sequences: Application to the characterization of aqueous proteins foams stability,
IVC(27), No. 6, 4 May 2009, pp. 609-622.
Elsevier DOI 0904
Foams stability; Macroscopic imaging; Mathematical morphology; Granulometric analysis; Tracking BibRef

Mountney, P.[Peter], Stoyanov, D.[Danail], Yang, G.Z.[Guang-Zhong],
Three-Dimensional Tissue Deformation Recovery and Tracking,
SPMag(27), No. 4, 2010, pp. 14-24.
IEEE DOI 1007
BibRef

Davis, B.C.[Brad C.], Fletcher, P.T.[P. Thomas], Bullitt, E.[Elizabeth], Joshi, S.[Sarang],
Population Shape Regression from Random Design Data,
IJCV(90), No. 2, November 2010, pp. 255-266.
WWW Link. 1011
BibRef
Earlier: ICCV07(1-7).
IEEE DOI 0710
Award, Marr Prize. Analyze shape changes through ageing. BibRef

Shen, T.[Tian], Li, H.S.[Hong-Sheng], Huang, X.L.[Xiao-Lei],
Active Volume Models for Medical Image Segmentation,
MedImg(30), No. 3, March 2011, pp. 774-791.
IEEE DOI 1103
BibRef

Li, H.S.[Hong-Sheng], Shen, T.[Tian], Huang, X.L.[Xiao-Lei],
Approximately Global Optimization for Robust Alignment of Generalized Shapes,
PAMI(33), No. 6, June 2011, pp. 1116-1131.
IEEE DOI 1105
BibRef
Earlier:
Global optimization for alignment of generalized shapes,
CVPR09(856-863).
IEEE DOI 0906
Shape alignment. Asymmetric representation of source and target shapes. BibRef

Shen, T.[Tian], Li, H.S.[Hong-Sheng], Qian, Z.[Zhen], Huang, X.L.[Xiao-Lei],
Active volume models for 3D medical image segmentation,
CVPR09(707-714).
IEEE DOI 0906
BibRef

Martinez, A.[Antonio], Jimenez, J.J.[Juan Jose],
Tracking by means of geodesic region models applied to multidimensional and complex medical images,
CVIU(115), No. 8, August 2011, pp. 1083-1098.
Elsevier DOI 1101
Tracking organs; Geodesic models; Medical images; Multiple region organs; 3D and 4D images BibRef

Bromiley, P.A., Thacker, N.A.,
Multi-dimensional Medical Image Segmentation with Partial Volume and Gradient Modelling,
BMVA(2008), No. 2, 2008, pp. 1-22.
PDF File. 1209
BibRef

Kainmueller, D.[Dagmar], Lamecker, H.[Hans], Zachow, S.[Stefan],
Multi-object Segmentation with Coupled Deformable Models,
BMVA(2009), No. 5, 2009, pp. 1-10.
PDF File. 1209
BibRef

Lee, H.P., Foskey, M., Niethammer, M., Krajcevski, P., Lin, M.C.,
Simulation-Based Joint Estimation of Body Deformation and Elasticity Parameters for Medical Image Analysis,
MedImg(31), No. 11, November 2012, pp. 2156-2168.
IEEE DOI 1211
BibRef

Bogovic, J.A.[John A.], Prince, J.L.[Jerry L.], Bazin, P.L.[Pierre-Louis],
A multiple object geometric deformable model for image segmentation,
CVIU(117), No. 2, February 2013, pp. 145-157.
Elsevier DOI 1301
BibRef
Earlier: A1, A3, A2:
Topology-preserving STAPLE,
MMBIA10(1-6).
IEEE DOI 1006
Multiple object segmentation; Geometric deformable model; Level sets; Topology preservation. Fuse multiple segmentations for improved result in anatomical studies. BibRef

Fan, X.[Xian], Bazin, P.L.[Pierre-Louis], Bogovic, J.[John], Bai, Y.[Ying], Prince, J.L.[Jerry L.],
A multiple geometric deformable model framework for homeomorphic 3D medical image segmentation,
MMBIA08(1-7).
IEEE DOI 0806
BibRef

Fan, X.[Xian], Bazin, P.L.[Pierre-Louis], Prince, J.L.[Jerry L.],
A multi-compartment segmentation framework with homeomorphic level sets,
CVPR08(1-6).
IEEE DOI 0806
BibRef

Guo, Y.R.[Yan-Rong], Wu, G.R.[Guo-Rong], Jiang, J.G.[Jian-Guo], Shen, D.G.[Ding-Gang],
Robust Anatomical Correspondence Detection by Hierarchical Sparse Graph Matching,
MedImg(32), No. 2, February 2013, pp. 268-277.
IEEE DOI 1301
BibRef

Guo, Y.R.[Yan-Rong], Wu, G.R.[Guo-Rong], Dai, Y.K.[Ya-Kang], Jiang, J.G.[Jian-Guo], Shen, D.G.[Ding-Gang],
Robust Anatomical Correspondence Detection by Graph Matching with Sparsity Constraint,
MCVM12(20-28).
Springer DOI 1305
BibRef

Varnavas, A., Carrell, T., Penney, G.,
Increasing the Automation of a 2D-3D Registration System,
MedImg(32), No. 2, February 2013, pp. 387-399.
IEEE DOI 1301
BibRef

Bradshaw, A.P.[Andrew P.], Taubman, D.S.[David S.], Todd, M.J.[Michael J.], Magnussen, J.S., Halmagyi, G.M.,
Augmented Active Surface Model for the Recovery of Small Structures in CT,
IP(22), No. 11, 2013, pp. 4394-4406.
IEEE DOI 1310
computerised tomography BibRef

Bradshaw, A.P.[Andrew P.], Todd, M.J.[Michael J.], Taubman, D.S.[David S.],
Active surface modeling at CT resolution limits with micro CT ground truth,
ICIP08(1081-1084).
IEEE DOI 0810
BibRef

Mesejo, P.[Pablo],
Automatic Segmentation of Anatomical Structures using Deformable Models and Bio-Inspired/Soft Computing,
ELCVIA(13), No. 2, 2014, pp. xx-yy.
DOI Link 1407
Ph.D.. Thesis. BibRef

de Senneville, B.D.[B. Denis], El Hamidi, A., Moonen, C.,
A Direct PCA-Based Approach for Real-Time Description of Physiological Organ Deformations,
MedImg(34), No. 4, April 2015, pp. 974-982.
IEEE DOI 1504
Kidney BibRef

Leonardi, V.[Valentin], Vidal, V.[Vincent], Daniel, M.[Marc], Mari, J.L.[Jean-Luc],
Multiple reconstruction and dynamic modeling of 3D digital objects using a morphing approach,
VC(31), No. 5, May 2015, pp. 557-574.
Springer DOI 1505
Kidney models. BibRef

Qin, X.J.[Xian-Jing], Lu, H.B.[Hong-Bing], Tian, Y.[Yan], Yan, P.K.[Ping-Kun],
Partial sparse shape constrained sector-driven bladder wall segmentation,
MVA(26), No. 5, July 2015, pp. 593-606.
WWW Link. 1506
BibRef

Getto, R.[Roman], Kuijper, A.[Arjan], von Landesberger, T.[Tatiana],
Extended surface distance for local evaluation of 3D medical image segmentations,
VC(31), No. 6-8, June 2015, pp. 989-999.
WWW Link. 1506
BibRef

Allassonnière, S., Durrleman, S., Kuhn, E.,
Bayesian Mixed Effect Atlas Estimation with a Diffeomorphic Deformation Model,
SIIMS(8), No. 3, 2015, pp. 1367-1395.
DOI Link 1511
BibRef

Yang, X.F.[Xian-Feng], Li, Y.H.[Yong-Hui], Reutens, D.[David], Jiang, T.Z.[Tian-Zi],
Diffeomorphic Metric Landmark Mapping Using Stationary Velocity Field Parameterization,
IJCV(115), No. 2, November 2015, pp. 69-86.
Springer DOI 1511
Large deformation diffeomorphic metric mapping (LDDMM). Anotomical variations. BibRef

Jin, C., Shi, F., Xiang, D., Jiang, X., Zhang, B., Wang, X., Zhu, W., Gao, E., Chen, X.,
3D Fast Automatic Segmentation of Kidney Based on Modified AAM and Random Forest,
MedImg(35), No. 6, June 2016, pp. 1395-1407.
IEEE DOI 1606
Active appearance model BibRef

Nakao, M.[Megumi], Nakamura, M.[Mitsuhiro], Matsuda, T.[Tetsuya],
Image-to-Graph Convolutional Network for 2D/3D Deformable Model Registration of Low-Contrast Organs,
MedImg(41), No. 12, December 2022, pp. 3747-3761.
IEEE DOI 2212
Shape, Strain, Deformable models, Image reconstruction, Optimization, Feature extraction, Deep learning, deformable registration, low-contrast images BibRef

Romaguera, L.V.[Liset Vázquez], Alley, S.[Stephanie], Carrier, J.F.[Jean-François], Kadoury, S.[Samuel],
Conditional-Based Transformer Network With Learnable Queries for 4D Deformation Forecasting and Tracking,
MedImg(42), No. 6, June 2023, pp. 1603-1618.
IEEE DOI 2306
Tracking, Strain, Transformers, Biological system modeling, Target tracking, Task analysis, Predictive models, 4D imaging, radiotherapy BibRef

Zhou, H.Y.[Hong-Yu], Guo, J.S.[Jian-Sen], Zhang, Y.H.[Ying-Hao], Han, X.G.[Xiao-Guang], Yu, L.[Lequan], Wang, L.S.[Lian-Sheng], Yu, Y.Z.[Yi-Zhou],
nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer,
IP(32), 2023, pp. 4036-4045.
IEEE DOI 2307
Transformers, Data structures, Boolean functions, Image segmentation, volumetric image segmentation BibRef

Zhai, S.W.[Shu-Wei], Wang, G.T.[Guo-Tai], Luo, X.D.[Xiang-De], Yue, Q.[Qiang], Li, K.[Kang], Zhang, S.T.[Shao-Ting],
PA-Seg: Learning From Point Annotations for 3D Medical Image Segmentation Using Contextual Regularization and Cross Knowledge Distillation,
MedImg(42), No. 8, August 2023, pp. 2235-2246.
IEEE DOI 2308
Annotations, Image segmentation, Training, Noise measurement, Solid modeling, Costs, Medical image segmentation, knowledge distillation BibRef

Yang, J.Y.[Jing-Yi], Jiao, L.C.[Li-Cheng], Shang, R.H.[Rong-Hua], Liu, X.[Xu], Li, R.Y.[Rui-Yang], Xu, L.C.[Long-Chang],
EPT-Net: Edge Perception Transformer for 3D Medical Image Segmentation,
MedImg(42), No. 11, November 2023, pp. 3229-3243.
IEEE DOI 2311
BibRef


Jia, C.[Chuang], Xue, J.[Jian], Lu, K.[Ke], Wu, Z.Q.[Zhong-Qi],
Semi-Supervised Contrastive Learning of Global and Local Representation for 3d Medical Image Segmentation,
ICIP23(26-30)
IEEE DOI 2312
BibRef

Tadokoro, R.[Ryu], Yamada, R.[Ryosuke], Kataoka, H.[Hirokatsu],
Pre-training Auto-generated Volumetric Shapes for 3D Medical Image Segmentation,
ECV23(4740-4745)
IEEE DOI 2309
BibRef

Peters, J.[Joshua], Lebrat, L.[Léo], Cruz, R.S.[Rodrigo Santa], Nicolson, A.[Aaron], Belous, G.[Gregg], Konate, S.[Salamata], Raniga, P.[Parnesh], Dore, V.[Vincent], Bourgeat, P.[Pierrick], Mejan-Fripp, J.[Jurgen], Fookes, C.[Clinton], Salvado, O.[Olivier],
DBCE: A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations,
WACV23(1958-1968)
IEEE DOI 2302
Deformable models, Deep learning, Atrophy, Solid modeling, Training data, Medical services, Algorithms: Explainable, fair, Biomedical/healthcare/medicine BibRef

Zhang, K.[Ke], Zhuang, X.[Xiahai],
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision,
CVPR22(11646-11655)
IEEE DOI 2210
Training, Image segmentation, Codes, Annotations, Computational modeling, Training data, Segmentation, Self- semi- meta- unsupervised learning BibRef

Yang, J.C.[Jian-Cheng], Wickramasinghe, U.[Udaranga], Ni, B.B.[Bing-Bing], Fua, P.[Pascal],
ImplicitAtlas: Learning Deformable Shape Templates in Medical Imaging,
CVPR22(15840-15850)
IEEE DOI 2210
Training, Shape, Pipelines, Sensors, Pattern recognition, 3D from multi-view and sensors, Medical, grouping and shape analysis BibRef

Guo, H.T.[Heng-Tao], Planche, B.[Benjamin], Zheng, M.[Meng], Karanam, S.[Srikrishna], Chen, T.[Terrence], Wu, Z.Y.[Zi-Yan],
SMPL-A: Modeling Person-Specific Deformable Anatomy,
CVPR22(20782-20791)
IEEE DOI 2210
Deformable models, Training, Point cloud compression, In vivo, Protocols, Shape, Surgery, Medical, biological and cell microscopy, Pose estimation and tracking BibRef

Sun, S.[Shanlin], Han, K.[Kun], Kong, D.Y.[De-Ying], Tang, H.[Hao], Yan, X.Y.[Xiang-Yi], Xie, X.H.[Xiao-Hui],
Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic Flow,
CVPR22(20813-20823)
IEEE DOI 2210
Deformable models, Geometry, Shape, Computational modeling, Semantics, Topology, Medical, biological and cell microscopy, grouping and shape analysis BibRef

Makki, K.[Karim], Bohi, A.[Amine], Ogier, A.C.[Augustin C.], Bellemare, M.E.[Marc Emmanuel],
A new geodesic-based feature for characterization of 3D shapes: application to soft tissue organ temporal deformations,
ICPR21(3822-3828)
IEEE DOI 2105
Shape, Tracking, Magnetic resonance imaging, Biological systems, Bladder, high-resolution reconstruction BibRef

Lan, S.[Sheng], Guo, Z.H.[Zhen-Hua],
A Joint Super-Resolution and Deformable Registration Network for 3D Brain Images,
ICPR21(173-179)
IEEE DOI 2105
Image registration, Brain, Instruments, Superresolution, Pattern recognition, Task analysis BibRef

Comelli, A.[Albert], Stefano, A.[Alessandro],
Active Surface for Fully 3d Automatic Segmentation,
AIHA20(357-367).
Springer DOI 2103
BibRef

Zhu, Z., Xia, Y., Shen, W., Fishman, E., Yuille, A.L.[Alan L.],
A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation,
3DV18(682-690)
IEEE DOI 1812
biological organs, convolution, feedforward neural nets, image segmentation, medical image processing, 3D CNNs BibRef

Dalca, A.V., Guttag, J., Sabuncu, M.R.,
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation,
CVPR18(9290-9299)
IEEE DOI 1812
Image segmentation, Biological system modeling, Biomedical imaging, Convolutional neural networks, Shape, Decoding BibRef

Tward, D.J.[Daniel J.], Sicat, C.S.[Chelsea S.], Brown, T.[Timothy], Bakker, A.[Arnold], Miller, M.I.[Michael I.],
Reducing Variability in Anatomical Definitions Over Time Using Longitudinal Diffeomorphic Mapping,
SeSAME16(51-62).
Springer DOI 1703
BibRef

Sagawa, R.[Ryusuke], Yoshiyasu, Y.[Yusuke], Alspach, A.[Alexander], Ayusawa, K.[Ko], Yamane, K.[Katsu], Hilton, A.[Adrian],
Analyzing Muscle Activity and Force with Skin Shape Captured by Non-contact Visual Sensor,
PSIVT15(488-501).
Springer DOI 1602
BibRef

Kim, S.Y.[Sun-Yeong], Tai, Y.W.[Yu-Wing],
Hierarchical nonrigid model for 3D medical image registration,
ICIP14(3562-3566)
IEEE DOI 1502
Equations BibRef

Rolfe, S.M.[Sara M.], Cox, L.L., Shapiro, L.G., Cox, T.C.,
A New Landmark-Independent Tool for Quantifying and Characterizing Morphologic Variation,
ICIAR14(I: 75-83).
Springer DOI 1410
deformable-registration-based BibRef

Wassermann, D.[Demian], Ross, J.[James], Washko, G.R.[George R.], Wells, W.M.[William M.], Jose-Estepar, R.S.[Raul San],
Deformable Registration of Feature-Endowed Point Sets Based on Tensor Fields,
CVPR14(2729-2735)
IEEE DOI 1409
Diffeomorphism; Medical Imaging; Registration; Tensor Field BibRef

Inagaki, S.[Shun], Itoh, H.[Hayato], Imiya, A.[Atsushi],
Variational Multiple Warping for Cardiac Image Analysis,
CAIP15(II:749-759).
Springer DOI 1511
BibRef
And:
Multiple Alignment of Spatiotemporal Deformable Objects for the Average-Organ Computation,
NORDIA14(353-366).
Springer DOI 1504

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Inagaki, S.[Shun], Imiya, A.[Atsushi],
Variational Deformation Method for the Computation of the Average Shape of Organs,
Registration14(343-350)
IEEE DOI 1409
BibRef

Bennett, S.[Stuart], Lasenby, J.[Joan],
Deformation Measurement of a Human Chest Experiencing Global Motion,
AMDO12(144-152).
Springer DOI 1208
BibRef

Flores-Mangas, F.[Fernando], Jepson, A.D.[Allan D.], Haider, M.A.[Masoom A.],
Shape-Based Registration of Kidneys Across Differently Contrasted CT Scans,
CRV12(244-251).
IEEE DOI 1207
BibRef

Preiswerk, F.[Frank], Arnold, P.[Patrik], Fasel, B.[Beat], Cattin, P.C.[Philippe C.],
Robust tumour tracking from 2D imaging using a population-based statistical motion model,
MMBIA12(209-214).
IEEE DOI 1203
BibRef

Zhang, W.[Wuxia], Yuan, Y.[Yuan], Li, X.L.[Xue-Long], Yan, P.K.[Ping-Kun],
Learning shape statistics for hierarchical 3D medical image segmentation,
ICIP11(2189-2192).
IEEE DOI 1201
BibRef

Lu, C.[Chao], Duncan, J.S.[James S.],
A Non-rigid Registration Framework That Accommodates Pathology Detection,
MLMI11(83-90).
Springer DOI 1109
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Caban, J.J.[Jesus J.], Rheingans, P.[Penny], Yoo, T.S.[Terry S.],
An MRF-based statistical deformation model for morphological image analysis,
MMBIA10(31-38).
IEEE DOI 1006
BibRef

Rahim, M., Bellemare, M.E., Pirro, N., Bulot, R.,
A shape descriptors comparison for organs deformation sequence characterization in MRI sequences,
ICIP09(1069-1072).
IEEE DOI 0911
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Wang, D.[Dan], Tewfik, A.H.[Ahmed H.],
In vivo tracking of 3D organs using spherical harmonics and subspace clustering,
ICIP09(817-820).
IEEE DOI 0911
BibRef

Ding, F.[Feng], Yang, W.X.[Wen-Xian], Leow, W.K.[Wee Kheng], Venkatesh, S.K.[Sudhakar K.],
3D segmentation of soft organs by flipping-free mesh deformation,
WACV09(1-7).
IEEE DOI 0912
BibRef

Li, H.[Hao], Leow, W.K.[Wee Kheng], Chiu, I.S.[Ing-Sh], Huang, S.C.[Shu-Chien],
Deformation and Smooth Joining of Mesh Models for Cardiac Surgical Simulation,
GMP08(xx-yy).
Springer DOI 0804
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Giese, M.A.[Martin A.],
Prototypes of Biological Movements in Brains and Machines,
BMCV02(157 ff.).
Springer DOI 0303
BibRef

Giese, M.A.[Martin Alexander], Poggio, T.[Tomaso],
Biologically Plausible Neural Model for the Recognition of Biological Motion and Actions,
MIT AIMAIM-2002-012, August 2002.
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Synthesis and Recognition of Biological Motion Patterns Based on Linear Superposition of Prototypical Motion Sequences,
MVIEW99(xx-yy). BibRef

Goddard, J.[James], Gee, T.F.[Timothy F.], Wang, H.L.[Heng-Liang], Gorbach, A.M.[Alexander M.],
Segmentation-Based Registration of Organs in Intraoperative Video Sequences,
ISVC06(II: 835-842).
Springer DOI 0611
BibRef

Liu, X.G.[Xin-Gang], Chen, W.F.[Wu-Fan],
Elastic Registration Algorithm of Medical Images Based on Fuzzy Set,
WBIR06(214-221).
Springer DOI 0607
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Josephson, K.[Klas], Ericsson, A.[Anders], Karlsson, J.[Johan],
Segmentation of Medical Images Using Three-Dimensional Active Shape Models,
SCIA05(719-728).
Springer DOI 0506
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Pongnumkul, S.[Suchit], Sagawa, R.[Ryusuke], Echigo, T.[Tomio], Yagi, Y.S.[Yasu-Shi],
Deformable Registration for Generating Dissection Image of an Intestine from Annular Image Sequence,
CVBIA05(271-280).
Springer DOI 0601
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Shen, W.J.[Wei-Jia], Kassim, A.A.[Ashraf A.],
A New Scheme for Automatic Initialization of Deformable Models,
ICIP07(IV: 289-292).
IEEE DOI 0709
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Yan, P.K.[Ping-Kun], Kassim, A.A.,
Medical image segmentation with minimal path deformable models,
ICIP04(IV: 2733-2736).
IEEE DOI 0505
BibRef

Lievin, M., Luthon, F., Keeve, E.,
Entropic estimation of noise for medical volume restoration,
ICPR02(III: 871-874).
IEEE DOI 0211
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Rogers, M., Graham, J.,
Robust Active Shape Model Search,
ECCV02(IV: 517 ff.).
Springer DOI 0205
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Marchessoux, C., Richard, N., Fernandez, C.,
Description of simple method in 3D reconstruction in medical imaging,
3DPVT02(804-807).
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Heitz, G.[Geremy], Rohlfing, T.[Torsten], Maurer, Jr., C.R.[Calvin R.],
Automatic Generation of Shape Models Using Nonrigid Registration with a Single Segmented Template Mesh,
VMV04(73-80). 0411
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Rohlfing, T., Brandt, R., Maurer, Jr., C.R., Menzel, R.,
Bee Brains, B-Splines and Computational Democracy: Generating an Average Shape Atlas,
MMBIA01(xx-yy). 0110
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Skrinjar, O., Nabavi, A., Duncan, J.,
A Stereo-Guided Biomechanical Model for Volumetric Deformation Analysis,
MMBIA01(xx-yy). 0110
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Tsagaan, B., Shimizu, A., Kobatake, H., Kunihisa, M., Hanzawa, Y.,
Segmentation of Kidney by Using a Deformable Model,
ICIP01(III: 1059-1062).
IEEE DOI 0108
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di Bona, S., Salvetti, O.,
A Deformation Model for Biotissues Behaviour Simulation,
ICIP00(Vol II: 443-446).
IEEE DOI 0008
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Zhang, C., Helferty, J.,
Nonlinear Distortion Correction in Endoscopic Video Images,
ICIP00(Vol II: 439-442).
IEEE DOI 0008
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Pardo, X.M., Radeva, P.I.,
Discriminant Snakes for 3d Reconstruction in Medical Images,
ICPR00(Vol IV: 336-339).
IEEE DOI 0009
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Wehrmann, F., Bengtsson, E., Thurfjell, L.,
A 3D Deformable Surface Model to Segment the Brain in MR Images,
SCIA99(Deformable Models). BibRef 9900

Menegaz, G., Vaerman, V., Thiran, J.P.,
Object-based Coding of Volumetric Medical Data,
ICIP99(III:920-924).
IEEE DOI BibRef 9900

Mekada, Y.[Yoshito], Kiri, T.[Toshiyuki], Kasuga, M.[Masao],
Virtualized Stomach Wall and Its Deformation Model,
ICIP99(III:412-415).
IEEE DOI BibRef 9900

Chen, M., Kanade, T., Pomerleau, D.A., and Schneider, J.,
Probabilistic Registration of 3-D Medical Images,
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Chen, M., Kanade, T., Pomerleau, D.A., and Schneider, J.,
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Chen, M.[Mei], Kanade, T.[Takeo], Pomerleau, D.A.[Dean A.],
Medical Image-Atlas Registration Using Deformable Models,
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Chen, M.,
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Ljungberg, M.[Michael], Sornmo, L.[Leif], Sjogreen, K.[Katarina], Floreby, L.[Lars],
Deformable Fourier Surfaces for Volume Segmentation in SPECT,
ICPR98(Vol I: 358-360).
IEEE DOI 9808
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Abbott, P.[Phillip], Braun, M.[Michael],
Segmentation of ultrasound image data by two dimensional autoregressive modelling,
CIAP97(II: 672-679).
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Solloway, S., Taylor, C.J., Hutchinson, C.E., Waterton, J.C.,
Quantification of Articular Cartilage from MR Images Using Active Shape Models,
ECCV96(II:400-411).
Springer DOI BibRef 9600

Mangin, J., Regis, J., Frouin, V.,
Shape Bottlenecks and Conservative Flow Systems,
MMBIA96(SHAPE) BibRef 9600

Christensen, G., Kane, A., Marsh, J., Vannier, M.W.,
Synthesis of an Individualized Cranial Atlas with Dysmorphic Shape,
MMBIA96(SHAPE) BibRef 9600

Tari, S.[Sibel],
Hierarchical Shape Decomposition via Level Sets,
ISMM09(215-225).
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Tari, S., Shah, J., Pien, H.,
A Computationally Efficient Shape Analysis via Level Sets,
MMBIA96(DEFORMABLE MODELS II) BibRef 9600

Malladi, R., Kimmel, R., Adalsteinsson, D., Sapiro, G., Caselles, V., Sethian, J.,
A Geometric Approach to Segmentation and Analysis of 3D Medical Images,
MMBIA96(DEFORMABLE MODELS II) BibRef 9600

Chakraborty, A., Staib, L.H., Duncan, J.S.,
An Integrated Approach for Surface Finding in Medical Images,
MMBIA96(DEFORMABLE MODELS II) BibRef 9600

Beresford-Smith, B., van Helden, D.F.,
Applications of radar tracking algorithms to motion analysis in biomedical images,
ICIP94(I: 411-415).
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BibRef

Szekely, G., Kelemen, A., Brechbühler, C., Gerig, G.,
Segmentation of 3D Objects from MRI Volume Data Using Constrained Elastic Deformations of Flexible Fourier Surface Models,
CVRMed95(XX-YY) BibRef 9500

Algorri, M.E., Schmitt, F.,
Deformable Models for Reconstructing Unstructured 3D Data,
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Kalvin, A.D.,
Segmentation and Surface-Based Modeling of Objects in Three-Dimensional Biomedical Images,
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Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Deformable Models, Cardiac Motion Models for Volumes, Left Ventricle .


Last update:Mar 16, 2024 at 20:36:19