12.1.4.11 Fusion of Medical Data, Medical Image Fusion

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],
Registration with probabilistic correspondences: Accurate and robust registration for pathological and inhomogeneous medical data,
CVIU(190), 2020, pp. 102839.
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],
Cross-cumulative residual entropy-based medical image registration via hybrid differential search algorithm,
IJIST(29), No. 4, 2019, pp. 701-710.
DOI Link 1911
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,
IJIST(29), No. 4, 2019, pp. 633-644.
DOI Link 1911
artificial neural network, image fusion, image processing, machine learning, wavelet transform BibRef

Haskins, G.[Grant], Kruger, U.[Uwe], Yan, P.K.[Ping-Kun],
Deep learning in medical image registration: a survey,
MVA(31), No. 1, January 2020, pp. Article 8.
WWW Link. 2003
BibRef

Hu, Q.[Qiu], Hu, S.[Shaohai], Zhang, F.Z.[Feng-Zhen],
Multi-modality medical image fusion based on separable dictionary learning and Gabor filtering,
SP:IC(83), 2020, pp. 115758.
Elsevier DOI 2003
Image fusion, Multi-modality medical image, Sparse representation, Gabor filter, Non-subsampled contourlet transform BibRef

Ma, J.Y.[Jia-Yi], Xu, H.[Han], Jiang, J.J.[Jun-Jun], Mei, X.G.[Xiao-Guang], Zhang, X.P.[Xiao-Ping],
DDcGAN: A Dual-Discriminator Conditional Generative Adversarial Network for Multi-Resolution Image Fusion,
IP(29), 2020, pp. 4980-4995.
IEEE DOI 2003
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,
IP(29), 2020, pp. 7203-7216.
IEEE DOI 2007
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],
ACE-MEF: Adaptive Clarity Evaluation-Guided Network With Illumination Correction for Multi-Exposure Image Fusion,
MultMed(25), 2023, pp. 8103-8118.
IEEE DOI 2312
BibRef

Mahapatra, D.[Dwarikanath], Ge, Z.Y.[Zong-Yuan],
Training data independent image registration using generative adversarial networks and domain adaptation,
PR(100), 2020, pp. 107109.
Elsevier DOI 2005
Registration, Domain adaptation, GANs, X-ray, MRI BibRef

Bastiaansen, W.A.P.[Wietske A. P.], Rousian, M.[Melek], Steegers-Theunissen, R.P.M.[Régine P. M.], Niessen, W.J.[Wiro J.], Koning, A.[Anton], Klein, S.[Stefan],
Towards Segmentation and Spatial Alignment of the Human Embryonic Brain Using Deep Learning for Atlas-based Registration,
WBIR20(34-43).
Springer DOI 2006
BibRef

Waldmannstetter, D.[Diana], Navarro, F.[Fernando], Wiestler, B.[Benedikt], Kirschke, J.S.[Jan S.], Sekuboyina, A.[Anjany], Molero, E.[Ester], Menze, B.H.[Bjoern H.],
Reinforced Redetection of Landmark in Pre- and Post-operative Brain Scan Using Anatomical Guidance for Image Alignment,
WBIR20(81-90).
Springer DOI 2006
BibRef

Gai, D.[Di], Shen, X.J.[Xuan-Jing], Chen, H.P.[Hai-Peng], Xie, Z.[Zeyu], Su, P.X.[Peng-Xiang],
Medical image fusion using the PCNN based on IQPSO in NSST domain,
IET-IPR(14), No. 9, 20 July 2020, pp. 1870-1880.
DOI Link 2007
BibRef

Saygili, G.[Gorkem],
Predicting medical image registration error with block-matching using three orthogonal planes approach,
SIViP(14), No. 6, September 2020, pp. 1099-1106.
WWW Link. 2008
BibRef

Wang, J.[Jian], Zhang, M.M.[Miao-Miao],
DeepFLASH: An Efficient Network for Learning-Based Medical Image Registration,
CVPR20(4443-4451)
IEEE DOI 2008
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],
An integrated approach for medical abnormality detection using deep patch convolutional neural networks,
VC(36), No. 9, September 2020, pp. 1869-1882.
WWW Link. 2008
BibRef

Xi, P.C.[Peng-Cheng], Shu, C.[Chang], Goubran, R.[Rafik],
Localizing 3-D Anatomical Landmarks Using Deep Convolutional Neural Networks,
CRV17(197-204)
IEEE DOI 1804
anthropometry, feature extraction, feedforward neural nets, image classification, image registration, image segmentation, multi-layer neural networks BibRef

Ganasala, P.[Padma], Prasad, A.D.[Achanta Durga],
Medical image fusion based on laws of texture energy measures in stationary wavelet transform domain,
IJIST(30), No. 3, 2020, pp. 544-557.
DOI Link 2008
computed tomography, discrete wavelet transform, image fusion, image texture, magnetic resonance imaging BibRef

Feng, S.L.[Shuang-Lang], Zhao, H.M.[He-Ming], Shi, F.[Fei], Cheng, X.N.[Xue-Na], Wang, M.[Meng], Ma, Y.H.[Yu-Hui], Xiang, D.H.[De-Hui], Zhu, W.F.[Wei-Fang], Chen, X.J.[Xin-Jian],
CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation,
MedImg(39), No. 10, October 2020, pp. 3008-3018.
IEEE DOI 2010
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],
A novel approach in multimodality medical image fusion using optimal shearlet and deep learning,
IJIST(30), No. 4, 2020, pp. 847-859.
DOI Link 2011
deep learning, discrete shearlet transform (DST), frequency transform, medical image fusion BibRef

He, Y.T.[Yu-Ting], Li, T.T.[Tian-Tian], Yang, G.Y.[Guan-Yu], Kong, Y.Y.[You-Yong], Chen, Y.[Yang], Shu, H.Z.[Hua-Zhong], Coatrieux, J.L.[Jean-Louis], Dillenseger, J.L.[Jean-Louis], Li, S.[Shuo],
Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images,
ECCV20(XVIII:770-786).
Springer DOI 2012
BibRef

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,
IJIST(31), No. 1, 2021, pp. 204-214.
DOI Link 2102
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],
Multimodal medical image fusion based on the spectral total variation and local structural patch measurement,
IJIST(31), No. 1, 2021, pp. 391-411.
DOI Link 2102
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.,
Multi-Source Information Exchange Encoding With PCNN for Medical Image Fusion,
CirSysVideo(31), No. 3, March 2021, pp. 986-1000.
IEEE DOI 2103
Image fusion, Task analysis, Transforms, Information exchange, Image coding, Medical diagnostic imaging, parameter optimization BibRef

Singh, S.[Sneha], Gupta, D.[Deep],
Multistage multimodal medical image fusion model using feature-adaptive pulse coupled neural network,
IJIST(31), No. 2, 2021, pp. 981-1001.
DOI Link 2105
image fusion, MR, multimodal, PET, SPECT BibRef

Zhang, X.F.[Xue-Feng], Yan, H.[Hui],
Medical image fusion and noise suppression with fractional-order total variation and multi-scale decomposition,
IET-IPR(15), No. 8, 2021, pp. 1688-1701.
DOI Link 2106
BibRef

Miao, Y.[Yu], Chun-Yy, N.[Ning], Yazhuo, X.[Xue],
Brain medical image fusion scheme based on shuffled frog-leaping algorithm and adaptive pulse-coupled neural network,
IET-IPR(15), No. 6, 2021, pp. 1203-1209.
DOI Link 2106
BibRef

Hauptmann, A.[Andreas], Smyl, D.[Danny],
Fusing electrical and elasticity imaging,
Royal(A: 379), No. 2200, June 2021, pp. 20200194.
DOI Link 2107
BibRef

Zhao, F.Q.[Fen-Qiang], Wu, Z.W.[Zheng-Wang], Wang, F.[Fan], Lin, W.L.[Wei-Li], Xia, S.R.[Shun-Ren], Shen, D.G.[Ding-Gang], Wang, L.[Li], Li, G.[Gang],
S3Reg: Superfast Spherical Surface Registration Based on Deep Learning,
MedImg(40), No. 8, August 2021, pp. 1964-1976.
IEEE DOI 2108
Strain, Training, Kernel, Convolution, Unsupervised learning, Topology, Surface registration, convolutional neural networks BibRef

Vercauteren, T.[Tom], Pennec, X.[Xavier], Perchant, A.[Aymeric], Ayache, N.[Nicholas],
Diffeomorphic demons: Efficient non-parametric image registration,
NeuroImage(45), No. 1, Supplement 1, 2009, pp. S61-S72.
Elsevier DOI 2108
BibRef

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],
HNSF Log-Demons: Diffeomorphic demons registration using hierarchical neighbourhood spectral features,
IET-IPR(15), No. 11, 2021, pp. 2666-2679.
DOI Link 2108
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,
MedImg(40), No. 9, September 2021, pp. 2221-2232.
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,
IJIST(31), No. 4, 2021, pp. 2003-2013.
DOI Link 2112
medical image fusion, Transfer Learning, L-BFGS BibRef

Das, M.[Manisha], Gupta, D.[Deep], Radeva, P.[Petia], Bakde, A.M.[Ashwini M.],
Multi-scale decomposition-based CT-MR neurological image fusion using optimized bio-inspired spiking neural model with meta-heuristic optimization,
IJIST(31), No. 4, 2021, pp. 2170-2188.
DOI Link 2112
CT, image fusion, meta-heuristic optimization algorithm, MR, multi-scale decomposition BibRef

Shibu, D.S.[D. Sunderlin], Priyadharsini, S.S.[S. Suja],
Multimodal medical image fusion using L0 gradient smoothing with sparse representation,
IJIST(31), No. 4, 2021, pp. 2249-2266.
DOI Link 2112
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],
A novel multimodality anatomical image fusion method based on contrast and structure extraction,
IJIST(32), No. 1, 2022, pp. 324-342.
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],
A Tri-Attention fusion guided multi-modal segmentation network,
PR(124), 2022, pp. 108417.
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],
CEFusion: Multi-Modal medical image fusion via cross encoder,
IET-IPR(16), No. 12, 2022, pp. 3177-3189.
DOI Link 2209
BibRef

Li, W.S.[Wei-Sheng], Chao, F.F.[Fei-Fei], Wang, G.[Guofen], Fu, J.[Jun], Peng, X.X.[Xiu-Xiu],
Medical image fusion based on local Laplacian decomposition and iterative joint filter,
IJIST(32), No. 5, 2022, pp. 1631-1645.
DOI Link 2209
iterative joint filter, local Laplacian pyramid, medical image fusion, multi-scale BibRef

Hering, A.[Alessa], Hansen, L.[Lasse], Mok, T.C.W.[Tony C. W.], Chung, A.C.S.[Albert C. S.], Siebert, H.[Hanna], Häger, S.[Stephanie], Lange, A.[Annkristin], Kuckertz, S.[Sven], Heldmann, S.[Stefan], Shao, W.[Wei], Vesal, S.[Sulaiman], Rusu, M.[Mirabela], Sonn, G.[Geoffrey], Estienne, T.[Théo], Vakalopoulou, M.[Maria], Han, L.[Luyi], Huang, Y.Z.[Yun-Zhi], Yap, P.T.[Pew-Thian], Brudfors, M.[Mikael], Balbastre, Y.[Yaël], Joutard, S.[Samuel], Modat, M.[Marc], Lifshitz, G.[Gal], Raviv, D.[Dan], Lv, J.X.[Jin-Xin], Li, Q.[Qiang], Jaouen, V.[Vincent], Visvikis, D.[Dimitris], Fourcade, C.[Constance], Rubeaux, M.[Mathieu], Pan, W.T.[Wen-Tao], Xu, Z.[Zhe], Jian, B.[Bailiang], de Benetti, F.[Francesca], Wodzinski, M.[Marek], Gunnarsson, N.[Niklas], Sjölund, J.[Jens], Grzech, D.[Daniel], Qiu, H.Q.[Hua-Qi], Li, Z.[Zeju], Thorley, A.[Alexander], Duan, J.M.[Jin-Ming], Großbröhmer, C.[Christoph], Hoopes, A.[Andrew], Reinertsen, I.[Ingerid], Xiao, Y.M.[Yi-Ming], Landman, B.[Bennett], Huo, Y.[Yuankai], Murphy, K.[Keelin], Lessmann, N.[Nikolas], van Ginneken, B.[Bram], Dalca, A.V.[Adrian V.], Heinrich, M.P.[Mattias P.],
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning,
MedImg(42), No. 3, March 2023, pp. 697-712.
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,
IJIG(23), No. 3 2023, pp. 2240013.
DOI Link 2306
BibRef

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,
IJIG(23), No. 3 2023, pp. 2240010.
DOI Link 2306
BibRef

Luo, X.Z.[Xin-Zhe], Zhuang, X.[Xiahai],
X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing,
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
BibRef

Vishnuvardhan, V.[Veruva], Jaya, T.,
Medical Image Fusion using ECNN- and OMBO-based Adaptive Weighted Fusion Rule,
IJIG(23), No. 5 2023, pp. 2350046.
DOI Link 2310
BibRef

Ye, S.Z.[Shao-Zhuang], Wang, T.[Tuo], Ding, M.Y.[Ming-Yue], Zhang, X.M.[Xu-Ming],
F-DARTS: Foveated Differentiable Architecture Search Based Multimodal Medical Image Fusion,
MedImg(42), No. 11, November 2023, pp. 3348-3361.
IEEE DOI 2311
BibRef

He, K.J.[Kang-Jian], Zhang, X.J.[Xue-Jie], Xu, D.[Dan], Gong, J.[Jian], Xie, L.[Lisiqi],
Fidelity-driven Optimization Reconstruction and Details Preserving Guided Fusion for Multi-Modality Medical Image,
MultMed(25), 2023, pp. 4943-4957.
IEEE DOI 2311
BibRef

Liu, Y.[Yu], Yu, C.[Chen], Cheng, J.[Juan], Wang, Z.J.[Z. Jane], Chen, X.[Xun],
MM-Net: A MixFormer-Based Multi-Scale Network for Anatomical and Functional Image Fusion,
IP(33), 2024, pp. 2197-2212.
IEEE DOI Code:
WWW Link. 2404
Image fusion, Biomedical imaging, Feature extraction, Transformers, Transforms, Magnetic resonance imaging, Data mining, multi-scale feature learning BibRef

Ding, Y.[Yi], Bu, J.J.[Jun-Jian], Qin, Z.[Zhen], You, L.[Li], Cao, M.S.[Ming-Sheng], Qin, Z.G.[Zhi-Guang], Pang, M.H.[Ming-Hui],
C2FResMorph: A high-performance framework for unsupervised 2D medical image registration,
PR(154), 2024, pp. 110615.
Elsevier DOI 2406
Image registration, Convolutional neural networks, Multi-head self-attention, Unsupervised learning BibRef

Mu, P.[Pan], Wu, G.Y.[Guan-Yao], Liu, J.Y.[Jin-Yuan], Zhang, Y.[Yuduo], Fan, X.[Xin], Liu, R.S.[Ri-Sheng],
Learning to Search a Lightweight Generalized Network for Medical Image Fusion,
CirSysVideo(34), No. 7, July 2024, pp. 5921-5934.
IEEE DOI Code:
WWW Link. 2407
Image fusion, Medical diagnostic imaging, Computer architecture, Task analysis, Magnetic resonance imaging, Feature extraction, medical image processing BibRef

Samant, S.[Sunita], Nanda, P.K.[Pradipta Kumar], Ghosh, A.[Ashish], Sahoo, S.[Subhaluxmi], Panda, A.K.[Adya Kinkar],
Registration of CT and MR image in multi-resolution framework using embedded entropy and feature fusion,
IJCVR(14), No. 5, 2024, pp. 540-570.
DOI Link 2409
BibRef

Tian, L.[Lin], Greer, H.[Hastings], Vialard, F.X.[François-Xavier], Kwitt, R.[Roland], Estépar, R.S.J.[Raúl San José], Rushmore, R.J.[Richard Jarrett], Makris, N.[Nikolaos], Bouix, S.[Sylvain], Niethammer, M.[Marc],
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

Hussein, R.[Ramy], Zhao, M.Y.[Moss Y.], Shin, D.[David], Guo, J.[Jia], Chen, K.T.[Kevin T.], Armindo, R.D.[Rui D.], Davidzon, G.[Guido], Moseley, M.[Michael], Zaharchuk, G.[Greg],
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], Sun, S.L.[Shan-Lin], Han, K.[Kun], Le, T.T.[Thanh-Tung], Ma, H.Y.[Hao-Yu], You, C.Y.[Chen-Yu], Xie, X.H.[Xiao-Hui],
AFTer-SAM: Adapting SAM with Axial Fusion Transformer for Medical Imaging Segmentation,
WACV24(7960-7969)
IEEE DOI 2404
Training, Image segmentation, Adaptation models, Computational modeling, Streaming media, Applications, and algorithms 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

Potier, G.[Guillaume], Lavancier, F.[Frédéric], Kunne, S.[Stephan], Paul-Gilloteaux, P.[Perrine],
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

Zhan, K., Song, Y., Fritsch, D., Mammadov, G., Wagner, J.,
Computed Tomography Data Colouring Based on Photogrammetric Images,
ISPRS20(B2:361-368).
DOI Link 2012
Fuse the image data with CT data. BibRef

Liu, F.Z.[Feng-Ze], Cai, J.Z.[Jin-Zheng], Huo, Y.K.[Yuan-Kai], Cheng, C.T.[Chi-Tung], Raju, A.[Ashwin], Jin, D.[Dakai], Xiao, J.[Jing], Yuille, A.L.[Alan L.], Lu, L.[Le], Liao, C.H.[Chien-Hung], Harrison, A.P.[Adam P.],
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-scale Pathological CT Scans,
ECCV20(XIII:257-274).
Springer DOI 2011
BibRef

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)
IEEE DOI 1809
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