12.1.4.11 Fusion of Medical Data, Medical Image Fusion

Chapter Contents (Back)
Fusion. Medical.

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And:
Rigid and Affine Registration of Smooth Surfaces Using Differential Properties,
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Arsigny, V.[Vincent], Commowick, O.[Olivier], Ayache, N.J.[Nicholas J.], Pennec, X.[Xavier],
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JMIV(33), No. 2, February 2009, pp. xx-yy.
Springer DOI 0903
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Earlier: A1, A2, A4, A3:
A Log-Euclidean Polyaffine Framework for Locally Rigid or Affine Registration,
WBIR06(120-127).
Springer DOI 0607
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Arsigny, V.[Vincent], Pennec, X.[Xavier],
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Earlier: Title started with "An" ICPR96(III: 533-537).
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McGregor, B.,
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Studholme, C., Hill, D.L.G., Hawkes, D.J.,
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PR(32), No. 1, January 1999, pp. 71-86.
Elsevier DOI BibRef 9901
Earlier:
Incorporating Connected Region Labelling into Automatic Image Registration Using Mutual Information,
MMBIA96(REGISTRATION I) BibRef
Earlier:
Automated 3D Registration of Truncated MR and CT Images of the Head,
BMVC95(xx-yy).
PDF File. 9509
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Earlier:
Using Voxel Similarity as a Measure of Medical Image Registration,
BMVC94(xx-yy).
PDF File. 9409
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Zhuang, X.[Xiahai], Arridge, S.R., Hawkes, D.J.[David J.], Ourselin, S.[Sebastien],
A Nonrigid Registration Framework Using Spatially Encoded Mutual Information and Free-Form Deformations,
MedImg(30), No. 10, October 2011, pp. 1819-1828.
IEEE DOI 1110
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Earlier: A1, A3, A4:
Spatial Information Encoded Mutual Information for Nonrigid Registration,
WBIR10(246-257).
Springer DOI 1007
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Meijering, E.H.W.[Erik H.W.], Zuiderveld, K.J.[Karel J.], Viergever, M.A.[Max A.],
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IJCV(31), No. 2/3, April 1999, pp. 227-246.
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Hayton, P.M.[Paul M.], Brady, M.[Michael], Smith, S.M.[Stephen M.], Moore, N.[Niall],
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Porter, B.C., Rubens, D.J., Strang, J.G., Smith, J., Totterman, S., Parker, K.J.,
Three-dimensional registration and fusion of ultrasound and MRI using major vessels as fiducial markers,
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IEEE Top Reference. 0110
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Stefansic, J.D., Herline, A.J., Shyr, Y., Chapman, W.C., Fitzpatrick, J.M., Dawant, B.M., Galloway, Jr., R.L.,
Registration of physical space to laparoscopic image space for use in minimally invasive hepatic surgery,
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IEEE Top Reference. 0110
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Maintz, J.B.A., van den Elsen, P.A., Viergever, M.A.,
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Registration. BibRef
Earlier:
Comparison of Feature-Based Matching of CT and MR Brain Images,
CVRMed95(XX-YY) BibRef

Maintz, J.B.A., van den Elsen, P.A., Viergever, M.A.,
3D multimodality medical image registration using morphological tools,
IVC(19), No. 1-2, January 2001, pp. 53-62.
Elsevier DOI 0101
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van den Elsen, P.A., van'tZelfde, L., Viergever, M.A.,
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ICPR92(I:755-759).
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Kumar, R., Dana, K., Anandan, P., Okamoto, N., Bergen, J.R., Hemler, P., Sumanaweera, T.S., van den Elsen, P.A., Adler, J.,
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WACV94(240-248).
IEEE Abstract. 0403
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Meijering, E.H.W.[Erik H.W.], Zuiderveld, K.J.[Karel J.], Niessen, W.J.[Wiro J.], Viergever, M.A.[Max A.],
A Fast Image Registration Technique for Motion Artifact Reduction in DSA,
ICIP99(III:435-439).
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Viergever, M.A.[Max A.],
Image registration for motion artifact reduction in digital subtraction angiography,
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Christensen, G.E., Johnson, H.J.,
Consistent image registration,
MedImg(20), No. 7, July 2001, pp. 568-582.
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Johnson, H.J., Christensen, G.E.,
Consistent landmark and intensity-based image registration,
MedImg(21), No. 5, May 2002, pp. 450-461.
IEEE Top Reference. 0206
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Christensen, G.E., He, J.,
Consistent Nonlinear Elastic Image Registration,
MMBIA01(xx-yy). 0110
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Studholme, C., Constable, R.T., Duncan, J.S.,
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Roche, A., Pennec, X., Malandain, G., Ayache, N.J.,
Rigid registration of 3-D ultrasound with MR images: A new approach combining intensity and gradient information,
MedImg(20), No. 10, October 2001, pp. 1038-1049.
IEEE Top Reference. 0111
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Bansal, R., Staib, L.H., Chen, Z.[Zhe], Rangarajan, A., Knisely, J., Nath, R., Duncan, J.S.,
Entropy-based dual-portal-to-3-DCT registration incorporating pixel correlation,
MedImg(22), No. 1, January 2003, pp. 29-49.
IEEE Top Reference. 0304
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Mattes, D., Haynor, D.R., Vesselle, H., Lewellen, T.K., Eubank, W.,
PET-CT image registration in the chest using free-form deformations,
MedImg(22), No. 1, January 2003, pp. 120-128.
IEEE Top Reference. 0304
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Tsao, J.,
Interpolation artifacts in multimodality image registration based on maximization of mutual information,
MedImg(22), No. 7, July 2003, pp. 854-864.
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And: Correction: MedImg(22), No. 9, September 2003, pp. 1183-1183.
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Periaswamy, S., Farid, H.,
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Ji, J.X.[Jim Xiuquan], Pan, H.[Hao], Liang, Z.P.[Zhi-Pei],
Further analysis of interpolation effects in mutual information-based image registration,
MedImg(22), No. 9, September 2003, pp. 1131-1140.
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Rhode, K.S., Hill, D.L.G., Edwards, P.J., Hipwell, J., Rueckert, D., Sanchez-Ortiz, G.I., Hegde, S., Rahunathan, V., Razavi, R.S.,
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Livyatan, H., Yaniv, Z., Joskowicz, L.,
Gradient-based 2-D/3-D rigid registration of fluoroscopic X-ray to CT,
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Tomazevic, D., Likar, B., Slivnik, T., Pernus, F.,
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Tomazevic, D., Likar, B., Pernus, F.,
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Mitrovic, U., Spiclin, Z., Likar, B., Pernus, F.,
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MedImg(32), No. 8, 2013, pp. 1550-1563.
IEEE DOI 1308
3D-2D registration BibRef

Markelj, P.[Primož], Tomazevic, D., Pernuš, F.[Franjo], Likar, B.[Boštjan],
Robust Gradient-Based 3-D/2-D Registration of CT and MR to X-Ray Images,
MedImg(27), No. 12, December 2008, pp. 1704-1714.
IEEE DOI 0812
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Spiclin, Ž., Likar, B.[Boštjan], Pernuš, F.[Franjo],
Groupwise Registration of Multimodal Images by an Efficient Joint Entropy Minimization Scheme,
IP(21), No. 5, May 2012, pp. 2546-2558.
IEEE DOI 1204

See also Fast and Robust 3D to 2D Image Registration by Backprojection of Gradient Covariances. BibRef

Markelj, P.[Primož], Likar, B.[Boštjan], Pernuš, F.[Franjo],
A New Image Database for 3D/2D Registration Based on the Visible Human Data Set,
WBIR10(151-160).
Springer DOI 1007
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Tang, S.Y.[Song-Yuan], Jiang, T.Z.[Tian-Zi],
Nonrigid registration of medical image by linear singular blending techniques,
PRL(25), No. 4, March 2004, pp. 399-405.
Elsevier DOI 0402
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Ryan, N.[Neil], Heneghan, C.[Conor], de Chazal, P.[Philip],
Registration of digital retinal images using landmark correspondence by expectation maximization,
IVC(22), No. 11, 20 September 2004, pp. 883-898.
Elsevier DOI 0409
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Ryan, N., Heneghan, C.,
Registration of Digital Ophthalmic Images Using Vector Mapping,
ICIP00(Vol II: 459-462).
IEEE DOI 0008
BibRef

Castellanos, N.P., Angel, P.L.D., Medina, V.,
Nonrigid medical image registration technique as a composition of local warpings,
PR(37), No. 11, November 2004, pp. 2141-2154.
Elsevier DOI 0409
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Russakoff, D.B., Rohlfing, T., Mori, K., Rueckert, D., Ho, A., Adler, Jr., J.R., Maurer, Jr., C.R.,
Fast generation of digitally reconstructed radiographs using attenuation fields with application to 2D-3D image registration,
MedImg(24), No. 11, November 2005, pp. 1441-1454.
IEEE DOI 0512
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Russakoff, D.B., Rohlfing, T., Maurer, Jr., C.R.,
Fast intensity-based 2d-3d image registration of clinical data using light fields,
ICCV03(416-422).
IEEE DOI 0311
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Rohlfing, T.,
Image Similarity and Tissue Overlaps as Surrogates for Image Registration Accuracy: Widely Used but Unreliable,
MedImg(31), No. 2, February 2012, pp. 153-163.
IEEE DOI 1202
BibRef

Wang, C.[Chao], Ye, Z.F.[Zhong-Fu],
First-order fusion of volumetric medical imagery,
VISP(153), No. 2, April 2006, pp. 191-198.
DOI Link 0604
BibRef

Wang, C.[Chao], Yang, Q.[Qiong], Tang, X.[Xiaoou], Ye, Z.F.[Zhong-Fu],
Salience Preserving Image Fusion with Dynamic Range Compression,
ICIP06(989-992).
IEEE DOI 0610
BibRef

Skerl, D.[Darko], Likar, B.[Bostjan], and Pernus, F.[Franjo],
A Protocol for Evaluation of Similarity Measures for Rigid Registration,
MedImg(25), No. 6, June 2006, pp. 779-791.
IEEE DOI 0606
BibRef
Earlier:
Evaluation of nine similarity measures used in rigid registration,
ICPR04(III: 794-797).
IEEE DOI 0409
Apply to MRI matching. This protocol estimates a similarity measure's capture range, the number, location and extent of local optima, and the accuracy and distinctiveness of the global optimum. BibRef

Škerl, D.[Darko], Likar, B.[Boštjan], Pernuš, F.[Franjo],
Evaluation of Similarity Measures for Non-rigid Registration,
WBIR06(160-168).
Springer DOI 0607
BibRef

Schmitt, O.[Oliver], Modersitzki, J.[Jan], Heldmann, S.[Stefan], Wirtz, S.[Stefan], Fischer, B.[Bernd],
Image Registration of Sectioned Brains,
IJCV(73), No. 1, June 2007, pp. 5-39.
Springer DOI 0702
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Brehmer, K.[Kai], Wacker, B.[Benjamin], Modersitzki, J.[Jan],
A Novel Similarity Measure for Image Sequences,
WBIR18(47-56).
Springer DOI 1806
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Modersitzki, J.[Jan], Wirtz, S.[Stefan],
Combining Homogenization and Registration,
WBIR06(257-263).
Springer DOI 0607
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Moghari, M.H., Abolmaesumi, P.,
Point-Based Rigid-Body Registration Using an Unscented Kalman Filter,
MedImg(26), No. 12, December 2007, pp. 1708-1728.
IEEE DOI 0712
Ultrasound-CT registration. BibRef

Moghari, M.H., Abolmaesumi, P.,
Distribution of Target Registration Error for Anisotropic and Inhomogeneous Fiducial Localization Error,
MedImg(28), No. 6, June 2009, pp. 799-813.
IEEE DOI 0906
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Moghari, M.H., Abolmaesumi, P.,
Distribution of Fiducial Registration Error in Rigid-Body Point-Based Registration,
MedImg(28), No. 11, November 2009, pp. 1791-1801.
IEEE DOI 0911
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Moghari, M.H., Abolmaesumi, P.,
Understanding the Effect of Bias in Fiducial Localization Error on Point-Based Rigid-Body Registration,
MedImg(29), No. 10, October 2010, pp. 1730-1738.
IEEE DOI 1011
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Ma, B., Moghari, M.H., Ellis, R.E., Abolmaesumi, P.,
Estimation of Optimal Fiducial Target Registration Error in the Presence of Heteroscedastic Noise,
MedImg(29), No. 3, March 2010, pp. 708-723.
IEEE DOI 1003
BibRef

Rasoulian, A., Rohling, R., Abolmaesumi, P.,
Group-Wise Registration of Point Sets for Statistical Shape Models,
MedImg(31), No. 11, November 2012, pp. 2025-2034.
IEEE DOI 1211

See also Lumbar Spine Segmentation Using a Statistical Multi-Vertebrae Anatomical Shape+Pose Model. BibRef

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DOI Link 0712
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Cho, Z.H.[Zang-Hee], Kang, C.K.[Chang-Ki], Park, C.A.[Chan-A], Hong, S.M.[Suk-Min], Kim, S.H.[Sang-Hoon], Oh, S.T.[Seung-Taek], Kim, Y.B.[Young-Bo],
Microvascular functional MR angiography with ultra-high-field 7 T MRI: Comparison with BOLD fMRI,
IJIST(22), No. 1, March 2012, pp. 18-22.
DOI Link 1202
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Wong, A.[Alexander], Bishop, W.[William],
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PRL(29), No. 3, 1 February 2008, pp. 173-180.
Elsevier DOI 0801
Least squares fusion; Multi-modal; MRI; CT; Medical imaging; Phase congruency BibRef

Tustison, N.J.[Nicholas J.], Avants, B.A.[Brian A.], Gee, J.C.[James C.],
Directly Manipulated Free-Form Deformation Image Registration,
IP(18), No. 3, March 2009, pp. 624-635.
IEEE DOI 0903
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Earlier:
Improved FFD B-Spline Image Registration,
MMBIA07(1-8).
IEEE DOI 0710
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Tustison, N.J.[Nicholas J.], Avants, B.B.[Brian B.],
Diffeomorphic Directly Manipulated Free-Form Deformation Image Registration via Vector Field Flows,
WBIR12(31-39).
Springer DOI 1208
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Tustison, N.J.[Nicholas J.], Avants, B.B.[Brian B.], Sundaram, T.A.[Tessa A.], Duda, J.T.[Jeffrey T.], Gee, J.C.[James C.],
A Generalization of Free-Form Deformation Image Registration Within the ITK Finite Element Framework,
WBIR06(238-246).
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Song, G.[Gang], Avants, B.B.[Brian B.], Gee, J.C.[James C.],
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MMBIA07(1-8).
IEEE DOI 0710
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Metzen, J.H.[Jan Hendrik], Kröger, T.[Tim], Schenk, A.[Andrea], Zidowitz, S.[Stephan], Peitgen, H.O.[Heinz-Otto], Jiang, X.Y.[Xiao-Yi],
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IVC(27), No. 7, 4 June 2009, pp. 923-933.
Elsevier DOI 0904
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Earlier:
Matching of Tree Structures for Registration of Medical Images,
GbRPR07(13-24).
Springer DOI 0706
Tree matching; Image registration; Maximum clique BibRef

Hernandez, M.[Monica], Bossa, M.N.[Matias N.], Olmos, S.[Salvador],
Registration of Anatomical Images Using Paths of Diffeomorphisms Parameterized with Stationary Vector Field Flows,
IJCV(85), No. 3, December 2009, pp. xx-yy.
Springer DOI 0911
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Earlier:
Registration of anatomical images using geodesic paths of diffeomorphisms parameterized with stationary vector fields,
MMBIA07(1-8).
IEEE DOI 0710
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Zacur, E.[Ernesto], Bossa, M.N.[Matias N.], Olmos, S.[Salvador],
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SIIMS(7), No. 3, 2014, pp. 1503-1557.
DOI Link 1410
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Earlier: A2, A1, A3:
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MMBIA08(1-8).
IEEE DOI 0806
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Hahn, D.A., Daum, V., Hornegger, J.,
Automatic Parameter Selection for Multimodal Image Registration,
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IEEE DOI 1006
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Li, Y., Verma, R.,
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MedImg(30), No. 3, March 2011, pp. 707-720.
IEEE DOI 1103
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Seshamani, S., Kumar, R., Mullin, G., Dassopoulos, T., Hager, G.D.,
A Meta Method for Image Matching,
MedImg(30), No. 8, August 2011, pp. 1468-1479.
IEEE DOI 1108
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Risser, L.[Laurent], Vialard, F.X.[François-Xavier], Wolz, R., Murgasova, M.[Maria], Holm, D.D.[Darryl D.], Rueckert, D.[Daniel],
Simultaneous Multi-scale Registration Using Large Deformation Diffeomorphic Metric Mapping,
MedImg(30), No. 10, October 2011, pp. 1746-1759.
IEEE DOI 1110
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Earlier: A1, A2, A4, A5, A6:
Large Deformation Diffeomorphic Registration Using Fine and Coarse Strategies,
WBIR10(186-197).
Springer DOI 1007
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Vialard, F.X.[François-Xavier], Risser, L.[Laurent], Rueckert, D.[Daniel], Cotter, C.J.[Colin J.],
Diffeomorphic 3D Image Registration via Geodesic Shooting Using an Efficient Adjoint Calculation,
IJCV(97), No. 2, April 2012, pp. 229-241.
WWW Link. 1203
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Vialard, F.X.[François-Xavier], Risser, L.[Laurent], Rueckert, D.[Daniel], Holm, D.D.[Darryl D.],
Diffeomorphic Atlas Estimation using Geodesic Shooting on Volumetric Images,
BMVA(2012), No. 5, 2012, pp. 1-12.
PDF File. 1209
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Cotter, C.J.[Colin J.], Clark, A.[Allan], Peiró, J.[Joaquim],
A Reparameterisation Based Approach to Geodesic Constrained Solvers for Curve Matching,
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Springer DOI 1202
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Yin, H.T.[Hai-Tao], Li, S.T.[Shu-Tao],
Joint sparsity model improves multimodal image fusion,
SPIE(Newsroom), January 16, 2012.
DOI Link 1201
A novel multimodal image-fusion method exploits a model that can effectively separate complementary information from source images. BibRef

Landman, B.A., Asman, A.J., Scoggins, A.G., Bogovic, J.A., Xing, F., Prince, J.L.,
Robust Statistical Fusion of Image Labels,
MedImg(31), No. 2, February 2012, pp. 512-522.
IEEE DOI 1202
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Asman, A.J., Landman, B.A.,
Formulating Spatially Varying Performance in the Statistical Fusion Framework,
MedImg(31), No. 6, June 2012, pp. 1326-1336.
IEEE DOI 1206
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And: Correction: MedImg(31), No. 7, July 2012, pp. 1505.
IEEE DOI 1208
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de Nigris, D.[Dante], Collins, D.L.[D. Louis], Arbel, T.[Tal],
Multi-Modal Image Registration Based on Gradient Orientations of Minimal Uncertainty,
MedImg(31), No. 12, December 2012, pp. 2343-2354.
IEEE DOI 1212
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de Nigris, D.[Dante], Collins, D.L.[D. Louis], Arbel, T.[Tal],
SymBA: Diffeomorphic Registration Based on Gradient Orientation Alignment and Boundary Proximity of Sparsely Selected Voxels,
WBIR14(21-30).
Springer DOI 1407
BibRef

Gallea, R.[Roberto], Ardizzone, E.[Edoardo], Pirrone, R.[Roberto], Gambino, O.[Orazio],
Three-dimensional Fuzzy Kernel Regression framework for registration of medical volume data,
PR(46), No. 11, November 2013, pp. 3000-3016.
Elsevier DOI 1306
Non-rigid registration; Fuzzy regression; Mutual information; Interpolation; GPU computing BibRef

Ardizzone, E.[Edoardo], Gallea, R.[Roberto], Gambino, O.[Orazio], Pirrone, R.[Roberto],
Effective and efficient interpolation for mutual information based multimodality elastic image registration,
NORDIA09(376-381).
IEEE DOI 0910
BibRef
And:
Multi-modal image registration using fuzzy kernel regression,
ICIP09(193-196).
IEEE DOI 0911
BibRef
And:
Fuzzy Smoothed Composition of Local Mapping Transformations for Non-rigid Image Registration,
CIAP09(777-786).
Springer DOI 0909
BibRef

Ardizzone, E.[Edoardo], Gambino, O.[Orazio], La Cascia, M.[Marco], lo Presti, L.[Liliana], Pirrone, R.[Roberto],
Multi-modal non-rigid registration of medical images based on mutual information maximization,
CIAP07(743-750).
IEEE DOI 0709
BibRef

Liu, S.Q.[Shuai-Qi], Zhao, J.[Jie], Shi, M.Z.[Ming-Zhu],
Medical image fusion based on improved sum-modified-Laplacian,
IJIST(25), No. 3, 2015, pp. 206-212.
DOI Link 1509
medical image fusion BibRef

Adali, T., Jutten, C., Hansen, L.K.,
Multimodal Data Fusion,
PIEEE(103), No. 9, September 2015, pp. 1445-1448.
IEEE DOI 1509
Scanning the Issue. Introduction. Biomedical imaging BibRef

Lahat, D., Adali, T., Jutten, C.,
Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects,
PIEEE(103), No. 9, September 2015, pp. 1449-1477.
IEEE DOI 1509
Survey, Data Fusion. Data integration BibRef

Adali, T., Levin-Schwartz, Y., Calhoun, V.D.,
Multimodal Data Fusion Using Source Separation: Two Effective Models Based on ICA and IVA and Their Properties,
PIEEE(103), No. 9, September 2015, pp. 1478-1493.
IEEE DOI 1509
Brain models BibRef

Adali, T., Levin-Schwartz, Y., Calhoun, V.D.,
Multimodal Data Fusion Using Source Separation: Application to Medical Imaging,
PIEEE(103), No. 9, September 2015, pp. 1494-1506.
IEEE DOI 1509
Biomedical imaging BibRef

Silva, R.F., Plis, S.M., Adali, T., Pattichis, M.S., Calhoun, V.D.,
Multidataset Independent Subspace Analysis With Application to Multimodal Fusion,
IP(30), 2021, pp. 588-602.
IEEE DOI 2012
Signal to noise ratio, Analytical models, Probability density function, Principal component analysis, unify BibRef

Liu, S.[Shuaiqi], Zhang, T.[Tao], Li, H.L.[Hai-Liang], Zhao, J.[Jie], Li, H.[Huiya],
Medical image fusion based on nuclear norm minimization,
IJIST(25), No. 4, 2015, pp. 310-316.
DOI Link 1512
medical image fusion BibRef

Saygili, G., Staring, M., Hendriks, E.A.,
Confidence Estimation for Medical Image Registration Based On Stereo Confidences,
MedImg(35), No. 2, February 2016, pp. 539-549.
IEEE DOI 1602
Accuracy BibRef

Srivastava, R., Prakash, O., Khare, A.,
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Biomedical imaging, Filtering, Image decomposition, Image edge detection, Image fusion, Laplace equations, Transforms, Image fusion, interest-based rule, multi-scale, decomposition BibRef

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color distortion, convolutional neural networks, image contrast, local Laplacian pyramid, medical image fusion BibRef

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IET-IPR(12), No. 3, March 2018, pp. 337-344.
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HWFusion: Holoentropy and SP-Whale optimisation-based fusion model for magnetic resonance imaging multimodal image fusion,
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Multimodal medical image fusion by cloud model theory,
SIViP(12), No. 3, March 2018, pp. 437-444.
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PR(79), 2018, pp. 130-146.
Elsevier DOI 1804
Medical image fusion, Denoising, Dictionary learning, Low-rank decomposition, Sparse representation BibRef

Zhou, Y.Q.[Yi-Qiao], Xie, L.[Lisiqi], He, K.J.[Kang-Jian], Xu, D.[Dan], Tao, D.P.[Da-Peng], Lin, X.[Xu],
Low-Light Image Enhancement for Infrared and Visible Image Fusion,
IET-IPR(17), No. 11, 2023, pp. 3216-3234.
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image denoising, image enhancement, image fusion BibRef

Darkner, S.[Sune], Pai, A.[Akshay], Liptrot, M.G.[Matthew G.], Sporring, J.[Jon],
Collocation for Diffeomorphic Deformations in Medical Image Registration,
PAMI(40), No. 7, July 2018, pp. 1570-1583.
IEEE DOI 1806
Biomedical imaging, Image registration, Mathematical model, Measurement, Numerical stability, Optimization, Standards, ordinary differential equation BibRef

Tang, L.[Lu], Tian, C.G.[Chuan-Geng], Xu, K.[Kai],
IGM-based perceptual multimodal medical image fusion using free energy motivated adaptive PCNN,
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Tang, L.[Lu], Tian, C.G.[Chuan-Geng], Li, L.[Leida], Hu, B.[Bo], Yu, W.[Wei], Xu, K.[Kai],
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Ramlal, S.D.[Sharma Dileepkumar], Sachdeva, J.[Jainy], Ahuja, C.K.[Chirag Kamal], Khandelwal, N.[Niranjan],
Multimodal medical image fusion using non-subsampled shearlet transform and pulse coupled neural network incorporated with morphological gradient,
SIViP(12), No. 8, November 2018, pp. 1479-1487.
Springer DOI 1809
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Tang, L.[Lu], Tian, C.G.[Chuan-Geng], Qian, J.S.[Jian-Sheng], Li, L.D.[Lei-Da],
No reference quality evaluation of medical image fusion,
IJIST(28), No. 4, December 2018, pp. 267-273.
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Chang, L.H.[Li-Hong], Feng, X.C.[Xiang-Chu], Zhu, X.L.[Xiao-Long], Zhang, R.[Rui], He, R.Q.[Rui-Qiang], Xu, C.[Chen],
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IET-IPR(13), No. 1, January 2019, pp. 83-88.
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A New Multi-Atlas Registration Framework for Multimodal Pathological Images Using Conventional Monomodal Normal Atlases,
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IEEE DOI 1903
biomedical MRI, brain, image registration, image segmentation, learning (artificial intelligence), medical image processing, low-rank image recovery BibRef

Liu, Y., Chen, X., Ward, R.K., Wang, Z.J.,
Medical Image Fusion via Convolutional Sparsity Based Morphological Component Analysis,
SPLetters(26), No. 3, March 2019, pp. 485-489.
IEEE DOI 1903
image fusion, image reconstruction, image representation, image resolution, image texture, dictionary learning BibRef

Ramlal, S.D.[Sharma Dileepkumar], Sachdeva, J.[Jainy], Ahuja, C.K.[Chirag Kamal], Khandelwal, N.[Niranjan],
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Multi-sensor medical image fusion using pyramid-based DWT: a multi-resolution approach,
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Balakrishnan, G., Zhao, A., Sabuncu, M.R., Guttag, J., Dalca, A.V.,
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MedImg(38), No. 8, August 2019, pp. 1788-1800.
IEEE DOI 1908
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An Unsupervised Learning Model for Deformable Medical Image Registration,
CVPR18(9252-9260)
IEEE DOI 1812
Strain, Training, Biomedical imaging, Image segmentation, Optimization, Image registration, convolutional neural networks. Computational modeling. BibRef

Guo, Y.[Yan], Aveyard, R.[Richard], Rieger, B.[Bernd],
A Multichannel Cross-Modal Fusion Framework for Electron Tomography,
IP(28), No. 9, Sep. 2019, pp. 4206-4218.
IEEE DOI 1908
Electron tomography: X-ray spectroscopy and scanning transmission electron microscopy. computerised tomography, edge detection, electronic engineering computing, feature extraction, nanomaterials BibRef

Krebs, J., Delingette, H., Mailhé, B., Ayache, N., Mansi, T.,
Learning a Probabilistic Model for Diffeomorphic Registration,
MedImg(38), No. 9, September 2019, pp. 2165-2176.
IEEE DOI 1909
Strain, Probabilistic logic, Deformable models, Training, Estimation, Image registration, Computational modeling, deformation transport BibRef

Krüger, J.[Julia], Schultz, S.[Sandra], Handels, H.[Heinz], Ehrhardt, J.[Jan],
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Elsevier DOI 1911
Image registration, Deformable registration, Probabilistic correspondences, Pathological data, Intensity adaptation BibRef

Gui, P.[Peng], Ling, W.K.[Wing-Kuen], Zhang, D.Y.[Deng-Yi], Xiang, Y.[Yan], Shao, D.G.[Dang-Guo], Ma, L.[Lei],
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cross-cumulative residual entropy, differential search algorithm, medical image registration BibRef

Hassan, M.[Mehdi], Murtza, I.[Iqbal], Khan, M.A.Z.[Muhammad Aqdus Zafar], Tahir, S.F.[Syed Fahad], Fahad, L.G.[Labiba Gillani],
Neuro-wavelet based intelligent medical image fusion,
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artificial neural network, image fusion, image processing, machine learning, wavelet transform BibRef

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Image fusion, Multi-modality medical image, Sparse representation, Gabor filter, Non-subsampled contourlet transform BibRef

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Image fusion, generative adversarial network, infrared image, medical image, different resolutions BibRef

Xu, H.[Han], Ma, J.Y.[Jia-Yi], Zhang, X.P.[Xiao-Ping],
MEF-GAN: Multi-Exposure Image Fusion via Generative Adversarial Networks,
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Image fusion, Generative adversarial networks, Generators, Dynamic range, Feature extraction, Training, self-attention BibRef

Wu, K.L.[Kang-Le], Chen, J.[Jun], Yu, Y.[Yang], Ma, J.Y.[Jia-Yi],
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Wang, J.[Jian], Zhang, M.M.[Miao-Miao],
DeepFLASH: An Efficient Network for Learning-Based Medical Image Registration,
CVPR20(4443-4451)
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Image registration, Optimization, Training, Convolution, Strain, Predictive models, Machine learning BibRef

Xi, P.C.[Peng-Cheng], Guan, H.T.[Hai-Tao], Shu, C.[Chang], Borgeat, L.[Louis], Goubran, R.[Rafik],
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Localizing 3-D Anatomical Landmarks Using Deep Convolutional Neural Networks,
CRV17(197-204)
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anthropometry, feature extraction, feedforward neural nets, image classification, image registration, image segmentation, multi-layer neural networks BibRef

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Medical image fusion based on laws of texture energy measures in stationary wavelet transform domain,
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computed tomography, discrete wavelet transform, image fusion, image texture, magnetic resonance imaging BibRef

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Image segmentation, Decoding, Task analysis, Lesions, Feature extraction, Medical diagnostic imaging, scale-aware pyramid fusion module BibRef

Parvathy, V.S.[Velmurugan Subbiah], Pothiraj, S.[Sivakumar], Sampson, J.[Jenyfal],
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deep learning, discrete shearlet transform (DST), frequency transform, medical image fusion BibRef

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Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images,
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Li, W.[Wei], Lin, Q.[Qinyong], Wang, K.Q.[Ke-Qiang], Cai, K.[Ken],
Improving medical image fusion method using fuzzy entropy and nonsubsampling contourlet transform,
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fuzzy entropy, image fusion, medical image, nonsubsampled contourlet transform, regional energy BibRef

Liu, Y.Y.[Yan-Yu], Hou, R.C.[Rui-Chao], Zhou, D.M.[Dong-Ming], Nie, R.[Rencan], Ding, Z.S.[Zhai-Sheng], Guo, Y.[Yanbu], Zhao, L.[Li],
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image fusion, local structural patch measurement, spatial frequency dual-channel spiking cortical model, spectral total variation transform domain BibRef

Nie, R., Cao, J., Zhou, D., Qian, W.,
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Image fusion, Task analysis, Transforms, Information exchange, Image coding, Medical diagnostic imaging, parameter optimization BibRef

Singh, S.[Sneha], Gupta, D.[Deep],
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image fusion, MR, multimodal, PET, SPECT BibRef

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Fusing electrical and elasticity imaging,
Royal(A: 379), No. 2200, June 2021, pp. 20200194.
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IEEE DOI 2108
Strain, Training, Kernel, Convolution, Unsupervised learning, Topology, Surface registration, convolutional neural networks BibRef

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Diffeomorphic demons: Efficient non-parametric image registration,
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Du, X.G.[Xiao-Gang], Gu, D.X.[Dong-Xin], Lei, T.[Tao], Wang, S.[Song], Zhang, X.J.[Xue-Jun], Meng, H.Y.[Hong-Ying],
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HNSF: hierarchical neighbourhood spectral features BibRef

Grimm, M.[Matthias], Esteban, J.[Javier], Unberath, M.[Mathias], Navab, N.[Nassir],
Pose-Dependent Weights and Domain Randomization for Fully Automatic X-Ray to CT Registration,
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IEEE DOI 2109
X-ray imaging, Computed tomography, Generators, Training, Task analysis, Pelvis, Deep learning, X-ray to CT registration BibRef

Jiang, J.[Jionghui], Feng, X.[Xi'an], Hu, Z.W.[Zhi-Wen], Hu, X.D.[Xiao-Dong], Liu, F.[Fen], Huang, H.[Hui],
Medical image fusion using Transfer Learning and L-BFGS optimization algorithm,
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medical image fusion, Transfer Learning, L-BFGS BibRef

Das, M.[Manisha], Gupta, D.[Deep], Radeva, P.[Petia], Bakde, A.M.[Ashwini M.],
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CT, image fusion, meta-heuristic optimization algorithm, MR, multi-scale decomposition BibRef

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Multimodal medical image fusion using L0 gradient smoothing with sparse representation,
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image fusion, L0 gradient smoothing, multimodal medical image, nonsubsambled contourlet transform, sparse representation BibRef

Sufyan, A.[Arbab], Imran, M.[Muhammad], Shah, S.A.[Syed Attique], Shahwani, H.[Hamayoun], Wadood, A.A.[Arbab Abdul],
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DOI Link 2201
fast guided filter, local contrast, medical image fusion, salient structure, weight map BibRef

Zhou, T.X.[Tong-Xue], Ruan, S.[Su], Vera, P.[Pierre], Canu, S.[Stéphane],
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Elsevier DOI 2203
BibRef
Earlier: A1, A4, A2, A2:
3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint,
ICPR21(10243-10250)
IEEE DOI 2105
Multi-modality fusion, Correlation, Brain tumor segmentation, Deep learning. Image segmentation, Correlation, Image coding, Feature extraction, Encoding, Decoding BibRef

Tang, W.[Wei], He, F.[Fazhi], Liu, Y.[Yu], Duan, Y.S.[Yan-Song],
MATR: Multimodal Medical Image Fusion via Multiscale Adaptive Transformer,
IP(31), 2022, pp. 5134-5149.
IEEE DOI 2208
Transformers, Image fusion, Single photon emission computed tomography, deep learning BibRef

Zhu, Y.[Ya], Wang, X.[Xue], Chen, L.P.[Lu-Ping], Nie, R.[Rencan],
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IET-IPR(16), No. 12, 2022, pp. 3177-3189.
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Li, W.S.[Wei-Sheng], Chao, F.F.[Fei-Fei], Wang, G.[Guofen], Fu, J.[Jun], Peng, X.X.[Xiu-Xiu],
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iterative joint filter, local Laplacian pyramid, medical image fusion, multi-scale BibRef

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Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning,
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IEEE DOI 2303
Task analysis, Biomedical imaging, Computed tomography, Image registration, Lung, Benchmark testing, evaluation BibRef

Rao, E.S.[E. Srinivasa], Prasad, C.R.[Ch. Raghava],
Deep Learning-Based Medical Image Fusion Using Integrated Joint Slope Analysis with Probabilistic Parametric Steered Image Filter,
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Reddy, M.G.[Mummadi Gowthami], Reddy, P.V.N.[Palagiri Veera Narayana], Reddy, P.R.[Patil Ramana],
Multi-Modal Medical Image Fusion Using 3-Stage Multiscale Decomposition and PCNN with Adaptive Arguments,
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Luo, X.Z.[Xin-Zhe], Zhuang, X.[Xiahai],
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PAMI(45), No. 7, July 2023, pp. 9206-9224.
IEEE DOI 2306
Maximum likelihood estimation, Information theory, Image segmentation, Computational modeling, Measurement, Entropy, segmentation BibRef

Fan, X.[Xin], Li, Z.[Zi], Li, Z.Y.[Zi-Yang], Wang, X.L.[Xiao-Lin], Liu, R.S.[Ri-Sheng], Luo, Z.X.[Zhong-Xuan], Huang, H.[Hao],
Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective Functions,
IP(32), 2023, pp. 4880-4892.
IEEE DOI 2310
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Vishnuvardhan, V.[Veruva], Jaya, T.,
Medical Image Fusion using ECNN- and OMBO-based Adaptive Weighted Fusion Rule,
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F-DARTS: Foveated Differentiable Architecture Search Based Multimodal Medical Image Fusion,
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Fidelity-driven Optimization Reconstruction and Details Preserving Guided Fusion for Multi-Modality Medical Image,
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GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency,
CVPR23(18084-18094)
IEEE DOI 2309

WWW Link. spatial transformations between image pairs BibRef

Cho, J.[Junmo], Han, S.[Seungjae], Cho, E.S.[Eun-Seo], Shin, K.[Kijung], Yoon, Y.G.[Young-Gyu],
Robust and Efficient Alignment of Calcium Imaging Data through Simultaneous Low Rank and Sparse Decomposition,
WACV23(1938-1947)
IEEE DOI 2302
Backpropagation, Calcium, Scalability, Imaging, Transforms, Robustness, Applications: Biomedical/healthcare/medicine BibRef

Duan, Y.F.[Yi-Fan], He, K.J.[Kang-Jian], Xu, D.[Dan],
Medical Image Fusion Technology Based on Low-Rank Representation of Image Blocks and Pulse Coupled Neural Network,
ICIVC22(473-479)
IEEE DOI 2301
Measurement, Image edge detection, Magnetic resonance imaging, Machine learning, Filtering algorithms, Visual effects, guided filter BibRef

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Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation,
ICPR22(4306-4312)
IEEE DOI 2212
Deep learning, Convolution, Magnetic resonance imaging, Sociology, Multitasking, Positron emission tomography BibRef

Mahmoudi, H.[Hanae], Ramadan, H.[Hiba], Riffi, J.[Jamal], Tairi, H.[Hamid],
Iconic registration based on the local dissimilarity card,
ISCV22(1-4)
IEEE DOI 2208
Image registration, Magnetic resonance imaging, Entropy, Reliability, Task analysis, Intelligent systems, medical imaging BibRef

Yan, X.Y.[Xiang-Yi], Tang, H.[Hao], Sun, S.L.[Shan-Lin], Ma, H.Y.[Hao-Yu], Kong, D.Y.[De-Ying], Xie, X.H.[Xiao-Hui],
AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation,
WACV22(3270-3280)
IEEE DOI 2202
Image segmentation, Solid modeling, Fuses, Memory management, Graphics processing units, Transformers, Grouping and Shape BibRef

Burduja, M.[Mihail], Ionescu, R.T.[Radu Tudor],
Unsupervised Medical Image Alignment With Curriculum Learning,
ICIP21(3787-3791)
IEEE DOI 2201
Training, Learning systems, Deep learning, Image registration, Smoothing methods, Performance gain, Unsupervised learning, curriculum learning BibRef

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A Registration Error Estimation Framework for Correlative Imaging,
ICIP21(131-135)
IEEE DOI 2201
Error analysis, Microscopy, Image processing, Linear regression, Estimation, Tools, bio-imaging, error estimation, image registration, correlative microscopy BibRef

Cao, X.[Xu], Lin, Y.H.[Yang-Hao],
CAggNet: Crossing Aggregation Network for Medical Image Segmentation,
ICPR21(1744-1750)
IEEE DOI 2105
Training, Image segmentation, Technological innovation, Fuses, Semantics, Computer architecture BibRef

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Qiao, J., Lai, Q., Li, Y., Lan, T., Yu, C., Wang, X.,
A GAN Based Multi-Contrast Modalities Medical Image Registration Approach,
ICIP20(3000-3004)
IEEE DOI 2011
Generators, Image registration, Medical diagnostic imaging, Task analysis, Measurement, Tools, Medical image registration, Star-Reg net BibRef

Le, Z., Huang, J., Fan, F., Tian, X., Ma, J.,
A Generative Adversarial Network For Medical Image Fusion,
ICIP20(370-374)
IEEE DOI 2011
Magnetic resonance imaging, Generators, Image resolution, Medical diagnostic imaging, Computed tomography, Image fusion, unified method BibRef

Mansouri, O.E., Basarab, A., Figueiredo, M.A.T., Kouamé, D., Tourneret, J.Y.,
Ultrasound And Magnetic Resonance Image Fusion Using A Patch-Wise Polynomial Model,
ICIP20(403-407)
IEEE DOI 2011
Magnetic resonance imaging, Spatial resolution, Image fusion, Ultrasonic imaging, Magnetic resonance, Signal to noise ratio, patch-based method BibRef

Zhang, J., Li, Z., Yu, Q.,
Point-Based Registration for Multi-stained Histology Images,
ICIVC20(92-96)
IEEE DOI 2009
Feature extraction, Measurement, Image registration, Robustness, Splines (mathematics), Optimization, Strain, image registration, histology image BibRef

Borovec, J., Munoz-Barrutia, A., Kybic, J.,
Benchmarking of Image Registration Methods for Differently Stained Histological Slides,
ICIP18(3368-3372)
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Robustness, Benchmark testing, Image registration, Optimization, Strain, Measurement, Image segmentation, Image registration, stained tissue BibRef

Guo, Y., Rieger, B.,
Image Fusion of X-Ray and Electron Tomograms,
ICIP18(863-867)
IEEE DOI 1809
Image reconstruction, Gold, Tomography, Image fusion, Signal to noise ratio, Fuses, Image fusion, cross-modality modeling BibRef

Lan, T., Jiang, H., Ding, Y., Qin, Z.,
An Improved Medical Image Registration Algorithm Based on Mutual Information,
ICVISP17(88-93)
IEEE DOI 1712
Signal processing, medical image, moments, mutual information, registration BibRef

Jamil, S., Saman, G.E.,
Image registration of medical images,
ISCV17(1-9)
IEEE DOI 1710
biological tissues, biomedical MRI, cardiology, speeded up robust features, tissue disorders, Feature-based Classification, Image Registration, Medical Images, BibRef

Nawaz, Q., Bin, X., Weisheng, L., Hamid, I.,
Multi-modal medical image fusion using 2DPCA,
ICIVC17(645-649)
IEEE DOI 1708
Algorithm design and analysis, Biomedical imaging, Discrete wavelet transforms, Image resolution, Lead, Principal component analysis, 2DPCA-based image fusion, PCA-based image fusion, multi-modal image fusion, multi-modal, medical image fusion BibRef

Pluim, J.P.W., Muenzing, S.E.A., Eppenhof, K.A.J., Murphy, K.,
The truth is hard to make: Validation of medical image registration,
ICPR16(2294-2300)
IEEE DOI 1705
Biomedical imaging, Computers, Gold, Image registration, Measurement, Observers, Standards, evaluation, image registration, validation BibRef

Fu, C., Gadgil, N., Tahboub, K.K., Salama, P., Dunn, K.W., Delp, E.J.,
Four Dimensional Image Registration for Intravital Microscopy,
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Gunay, G.[Gokhan], van der Voort, S.[Sebastian], Luu, M.H.[Manh Ha], Moelker, A.[Adriaan], Klein, S.[Stefan],
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SimpleElastix: A User-Friendly, Multi-lingual Library for Medical Image Registration,
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Leng, C., Chen, Z., Cai, G., Cheng, I., Xiong, Z., Tian, J., Basu, A.,
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IVMSP16(1-5)
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Biomedical imaging BibRef

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ICPR14(1067-1072)
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Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Change Detection -- Image Level .


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