Chen, Y.,
Levine, S.E.,
Image Recovery via Diffusion Tensor and Time-Delay Regularization,
JVCIR(13), No. 1/2, March/June 2002, pp. 156-175.
DOI Link
0204
BibRef
van Hecke, W.,
Leemans, A.,
d'Agostino, E.,
de Backer, S.,
Vandervliet, E.,
Parizel, P.M.,
Sijbers, J.,
Nonrigid Coregistration of Diffusion Tensor Images Using a Viscous
Fluid Model and Mutual Information,
MedImg(26), No. 11, November 2007, pp. 1598-1612.
IEEE DOI
0709
BibRef
Koay, C.G.[Cheng Guan],
Chang, L.C.[Lin-Ching],
Pierpaoli, C.[Carlo],
Basser, P.J.[Peter J.],
Error Propagation Framework for Diffusion Tensor Imaging via Diffusion
Tensor Representations,
MedImg(26), No. 8, August 2007, pp. 1017-1034.
IEEE DOI
0709
BibRef
And:
Erratum:
MedImg(26), No. 10, October 2007, pp. 1424-1424.
IEEE DOI
0711
BibRef
Zhang, H.,
Avants, B.B.,
Yushkevich, P.A.,
Woo, J.H.,
Wang, S.,
McCluskey, L.F.,
Elman, L.B.,
Melhem, E.R.,
Gee, J.C.,
High-Dimensional Spatial Normalization of Diffusion Tensor Images
Improves the Detection of White Matter Differences: An Example Study
Using Amyotrophic Lateral Sclerosis,
MedImg(26), No. 11, November 2007, pp. 1585-1597.
IEEE DOI
0709
BibRef
Koay, C.G.,
Nevo, U.,
Chang, L.C.,
Pierpaoli, C.,
Basser, P.J.,
The Elliptical Cone of Uncertainty and Its Normalized Measures in
Diffusion Tensor Imaging,
MedImg(27), No. 6, June 2008, pp. 834-846.
IEEE DOI
0711
BibRef
Jones, D.K.,
Tractography Gone Wild: Probabilistic Fibre Tracking Using the Wild
Bootstrap With Diffusion Tensor MRI,
MedImg(27), No. 9, September 2008, pp. 1268-1274.
IEEE DOI
0809
BibRef
Xu, Q.[Qing],
Anderson, A.W.[Adam W.],
Gore, J.C.[John C.],
Ding, Z.H.[Zhao-Hua],
Unified Bundling and Registration of Brain White Matter Fibers,
MedImg(28), No. 9, September 2009, pp. 1399-1411.
IEEE DOI
0909
BibRef
Earlier:
Diffusion Tensor Image Smoothing Using Efficient and Effective
Anisotropic Filtering,
MMBIA07(1-6).
IEEE DOI
0710
BibRef
Hageman, N.S.,
Toga, A.W.,
Narr, K.L.,
Shattuck, D.W.,
A Diffusion Tensor Imaging Tractography Algorithm Based on
Navier-Stokes Fluid Mechanics,
MedImg(28), No. 3, March 2009, pp. 348-360.
IEEE DOI
0903
BibRef
Astola, L.[Laura],
Fuster, A.[Andrea],
Florack, L.M.J.[Luc M.J.],
A Riemannian Scalar Measure for Diffusion Tensor Images,
PR(44), No. 9, September 2011, pp. 1885-1891.
Elsevier DOI
1106
BibRef
Earlier: A2, A1, A3:
Fuster, A.[Andrea],
Astola, L.[Laura],
Florack, L.M.J.[Luc M.J.],
CAIP09(419-426).
Springer DOI
0909
Riemann geometry, Diffusion tensor imaging, Ricci scalar, Finsler
geometry, High angular resolution diffusion imaging
BibRef
Astola, L.[Laura],
Florack, L.M.J.[Luc M.J.],
Sticky vector fields, and other geometric measures on diffusion tensor
images,
MMBIA08(1-7).
IEEE DOI
0806
BibRef
Florack, L.M.J.[Luc M.J.],
Astola, L.[Laura],
A multi-resolution framework for diffusion tensor images,
Tensor08(1-7).
IEEE DOI
0806
BibRef
Darki, F.[Fahimeh],
Oghabian, M.A.[Mohammad Ali],
Ahmadian, A.[Alireza],
Zadeh, H.S.[Hamid Soltanian],
Zarei, M.[Mojtaba],
Fractional anisotropy-weighted front evolution algorithm for white
matter tractography based on diffusion tensor imaging data,
IJIST(21), No. 4, December 2011, pp. 307-314.
DOI Link
1112
BibRef
Sepasian, N.,
ten Thije Boonkkamp, J.H.M.,
Ter Haar Romeny, B.M.,
Vilanova, A.,
Multivalued Geodesic Ray-Tracing for Computing Brain Connections Using
Diffusion Tensor Imaging,
SIIMS(5), No. 2 2012, pp. 483.
DOI Link
1205
BibRef
Jespersen, S.N.,
Leigland, L.A.,
Cornea, A.,
Kroenke, C.D.,
Determination of Axonal and Dendritic Orientation Distributions Within
the Developing Cerebral Cortex by Diffusion Tensor Imaging,
MedImg(31), No. 1, January 2012, pp. 16-32.
IEEE DOI
1201
BibRef
Liu, F.[Feng],
Liu, J.B.[Jing-Bo],
Anisotropic diffusion for image denoising based on diffusion tensors,
JVCIR(23), No. 3, April 2012, pp. 516-521.
Elsevier DOI
1203
Image denoising; Anisotropic diffusion; Nonlinear diffusion; Diffusion
tensor; Diffusion filter; Diffusion direction; Diffusion amount;
Multi-scale method
BibRef
Valkonen, T.[Tuomo],
Bredies, K.[Kristian],
Knoll, F.[Florian],
Total Generalized Variation in Diffusion Tensor Imaging,
SIIMS(6), No. 1, 2013, pp. 487-525.
DOI Link
1304
See also Total Generalized Variation.
BibRef
Chen, H.,
Li, K.,
Zhu, D.,
Jiang, X.,
Yuan, Y.,
Lv, P.,
Zhang, T.,
Guo, L.,
Shen, D.,
Liu, T.,
Inferring Group-Wise Consistent Multimodal Brain Networks via
Multi-View Spectral Clustering,
MedImg(32), No. 9, 2013, pp. 1576-1586.
IEEE DOI
1309
Diffusion tensor imaging (DTI)
BibRef
Chen, Y.,
Dai, Y.,
Han, D.,
Sun, W.,
Positive Semidefinite Generalized Diffusion Tensor Imaging via
Quadratic Semidefinite Programming,
SIIMS(6), No. 3, 2013, pp. 1531-1552.
DOI Link
1310
BibRef
Fogtmann, M.,
Seshamani, S.,
Kroenke, C.,
Cheng, X.[Xi],
Chapman, T.,
Wilm, J.,
Rousseau, F.,
Studholme, C.,
A Unified Approach to Diffusion Direction Sensitive Slice
Registration and 3-D DTI Reconstruction From Moving Fetal Brain
Anatomy,
MedImg(33), No. 2, February 2014, pp. 272-289.
IEEE DOI
1403
biodiffusion
BibRef
Jiang, S.[Shan],
Zhang, P.F.[Peng-Fei],
Comprehensive and quantitative study of rank-4 order diffusion tensor
imaging and positive definite rank-4 order diffusion tensor imaging:
A higher order tensor imaging study,
IJIST(24), No. 1, 2014, pp. 83-93.
DOI Link
1403
rank-4 order diffusion tensor imaging
BibRef
Wei, H.J.[Hong-Jiang],
Viallon, M.,
Delattre, B.M.A.,
Moulin, K.,
Yang, F.[Feng],
Croisille, P.,
Zhu, Y.M.[Yue-Min],
Free-Breathing Diffusion Tensor Imaging and Tractography of the Human
Heart in Healthy Volunteers Using Wavelet-Based Image Fusion,
MedImg(34), No. 1, January 2015, pp. 306-316.
IEEE DOI
1502
biodiffusion
BibRef
Gorokh, A.[Artur],
Korolev, Y.[Yury],
Valkonen, T.[Tuomo],
Diffusion Tensor Imaging with Deterministic Error Bounds,
JMIV(56), No. 1, September 2016, pp. 137-157.
WWW Link.
1605
BibRef
Baust, M.,
Weinmann, A.,
Wieczorek, M.,
Lasser, T.,
Storath, M.,
Navab, N.,
Combined Tensor Fitting and TV Regularization in Diffusion Tensor
Imaging Based on a Riemannian Manifold Approach,
MedImg(35), No. 8, August 2016, pp. 1972-1989.
IEEE DOI
1608
Diffusion tensor imaging
BibRef
Krajsek, K.[Kai],
Menzel, M.I.[Marion I.],
Scharr, H.[Hanno],
A Riemannian Bayesian Framework for Estimating Diffusion Tensor Images,
IJCV(120), No. 3, December 2016, pp. 272-299.
Springer DOI
1609
BibRef
Earlier:
Riemannian Bayesian estimation of diffusion tensor images,
ICCV09(2327-2334).
IEEE DOI
0909
DT-MRI.
BibRef
Zeng, X.H.[Xian-Hua],
He, S.S.[Shan-Shan],
Li, W.S.[Wei-Sheng],
Color perception of diffusion tensor images using hierarchical
manifold learning,
PR(63), No. 1, 2017, pp. 583-592.
Elsevier DOI
1612
Diffusion tensor images
BibRef
Verzhbinsky, I.A.,
Perotti, L.E.,
Moulin, K.,
Cork, T.E.,
Loecher, M.,
Ennis, D.B.,
Estimating Aggregate Cardiomyocyte Strain Using In~Vivo Diffusion and
Displacement Encoded MRI,
MedImg(39), No. 3, March 2020, pp. 656-667.
IEEE DOI
2004
Strain, Magnetic resonance imaging, In vivo, Phantoms, Pipelines,
Aggregates, Heart, DENSE MRI, diffusion tensor imaging,
cardiac microstructure
BibRef
Huang, J.,
Zhou, L.,
Wang, L.,
Zhang, D.,
Attention-Diffusion-Bilinear Neural Network for Brain Network
Analysis,
MedImg(39), No. 7, July 2020, pp. 2541-2552.
IEEE DOI
2007
Functional magnetic resonance imaging,
Diffusion tensor imaging, Feature extraction,
epilepsy
BibRef
Ning, L.,
Gagoski, B.,
Szczepankiewicz, F.,
Westin, C.,
Rathi, Y.,
Joint RElaxation-Diffusion Imaging Moments to Probe Neurite
Microstructure,
MedImg(39), No. 3, March 2020, pp. 668-677.
IEEE DOI
2004
Probability density function, Microstructure, Standards,
Laplace equations, Imaging, Estimation, Diffusion MRI,
filtering
BibRef
Li, Y.,
Liu, J.,
Tang, Z.,
Lei, B.,
Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional
Connectivity for MCI Identification,
MedImg(39), No. 9, September 2020, pp. 2818-2830.
IEEE DOI
2009
Time series analysis, Feature extraction,
Diffusion tensor imaging, Adaptive systems, Topology, Diseases,
spatial-temporal feature
BibRef
Huynh, K.M.,
Xu, T.,
Wu, Y.,
Wang, X.,
Chen, G.,
Wu, H.,
Thung, K.H.,
Lin, W.,
Shen, D.,
Yap, P.T.,
Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean
Spectrum Imaging,
MedImg(39), No. 11, November 2020, pp. 3607-3618.
IEEE DOI
2011
Microstructure, Diffusion tensor imaging, Microarchitecture,
Anisotropic magnetoresistance, Dispersion, Pediatrics,
Brain Tissue Microstructure
BibRef
Liu, X.M.[Xiao-Ming],
Zhou, X.B.[Xiao-Bo],
Qian, X.H.[Xiao-Hua],
Transparency-guided ensemble convolutional neural network for the
stratification between pseudoprogression and true progression of
glioblastoma multiform in MRI,
JVCIR(72), 2020, pp. 102880.
Elsevier DOI
2010
Pseudo progression, Glioblastoma multiforme,
Diffusion tensor imaging (DTI), Ensemble CNN
BibRef
Zhu, Q.[Qi],
Wang, H.[Heyang],
Xu, B.L.[Bing-Liang],
Zhang, Z.Q.[Zhi-Qiang],
Shao, W.[Wei],
Zhang, D.Q.[Dao-Qiang],
Multimodal Triplet Attention Network for Brain Disease Diagnosis,
MedImg(41), No. 12, December 2022, pp. 3884-3894.
IEEE DOI
2212
Feature extraction, Diffusion tensor imaging, Epilepsy,
Functional magnetic resonance imaging, Diseases, Data mining,
high-order information
BibRef
Consagra, W.[William],
Venkataraman, A.[Arun],
Zhang, Z.W.[Zheng-Wu],
Optimized Diffusion Imaging for Brain Structural Connectome Analysis,
MedImg(41), No. 8, August 2022, pp. 2118-2129.
IEEE DOI
2208
Estimation, Diffusion tensor imaging,
Eigenvalues and eigenfunctions, Brain modeling,
structural connectome
BibRef
Cai, H.J.[Hong-Jie],
Gao, Y.[Yue],
Liu, M.H.[Man-Hua],
Graph Transformer Geometric Learning of Brain Networks Using
Multimodal MR Images for Brain Age Estimation,
MedImg(42), No. 2, February 2023, pp. 456-466.
IEEE DOI
2302
Estimation, Diffusion tensor imaging, Transformers, Aging,
Brain modeling, Data models, Convolutional neural networks,
Alzheimer's disease
BibRef
Song, X.G.[Xue-Gang],
Zhou, F.[Feng],
Frangi, A.F.[Alejandro F.],
Cao, J.W.[Jiu-Wen],
Xiao, X.H.[Xiao-Hua],
Lei, Y.[Yi],
Wang, T.F.[Tian-Fu],
Lei, B.Y.[Bai-Ying],
Multicenter and Multichannel Pooling GCN for Early AD Diagnosis Based
on Dual-Modality Fused Brain Network,
MedImg(42), No. 2, February 2023, pp. 354-367.
IEEE DOI
2302
Diseases, Task analysis, Diffusion tensor imaging, Training,
Neuroimaging, Filtering theory, dual-modality fusion
BibRef
Özlük, E.[Enes],
Özlük, G.Ö.[Gülsah Öztürk],
Diffusion tensor imaging from past to present: A bibliometric
analysis with trending topics and global productivity during
1980-2022,
IJIST(34), No. 4, 2024, pp. e23115.
DOI Link
2406
bibliometric analysis, citation analysis,
diffusion tensor imaging, research trends, scientometric analysis
BibRef
Xu, N.[Ning],
Zhou, Z.[Zimo],
Cai, H.[Hao],
A DTI registration algorithm based on spectral representation,
IET-IPR(18), No. 3, 2024, pp. 796-806.
DOI Link
2402
Diffusion Tensor Imaging. Brain MRI.
image fusion, image processing, image recognition
BibRef
Weng, L.[Li],
Zhu, Z.[Zhoule],
Dai, K.X.[Kai-Xin],
Zheng, Z.[Zhe],
Zhu, J.M.[Jun-Ming],
Wu, H.[Hemmings],
Reduced-Reference Learning for Target Localization in Deep Brain
Stimulation,
MedImg(43), No. 7, July 2024, pp. 2434-2447.
IEEE DOI
2407
Location awareness, Satellite broadcasting, Diffusion tensor imaging,
Complexity theory, Biomedical imaging, target localization
BibRef
Sharma, H.[Harsh],
Soltaninejad, S.[Sara],
Cheng, I.[Irene],
Automated Classification of Parkinson's Disease Using Diffusion Tensor
Imaging Data,
ISVC20(II:658-669).
Springer DOI
2103
BibRef
Lei, H.,
Zhao, Y.,
Huang, Z.,
Zhou, F.,
Huang, L.,
Lei, B.,
Multi-classification of Parkinson's Disease via Sparse Low-Rank
Learning,
ICPR18(3268-3272)
IEEE DOI
1812
Sparse matrices, Feature extraction, Diseases, Neuroimaging,
Diffusion tensor imaging, Support vector machines,
feature selection
BibRef
Gorodissky, O.A.,
Sharon, A.,
Danov, A.,
Friedman, A.,
Raviv, T.R.,
Symmetry-Based Analysis of Diffusion MRI for the Detection of Brain
Impairments,
ICIP18(376-379)
IEEE DOI
1809
Isosurfaces, Diffusion tensor imaging, Brain injuries, Symmetry,
Shape dissimilarity, MRI, Fractional Anisotropy, Mean Diffusion,
Contact Sport players
BibRef
Mostapha, M.[Mahmoud],
Soliman, A.[Ahmed],
Khalifa, F.[Fahmi],
Elnakib, A.[Ahmed],
Alansary, A.[Amir],
Nitzken, M.[Matthew],
Casanova, M.F.[Manuel F.],
El-Baz, A.[Ayman],
A statistical framework for the classification of infant DT images,
ICIP14(2222-2226)
IEEE DOI
1502
Adaptation models
infant diffusion tensor images
BibRef
Nguyen, K.T.[Khoa Tan],
Ynnerman, A.[Anders],
Ropinski, T.[Timo],
Analyzing and Reducing DTI Tracking Uncertainty by Combining
Deterministic and Stochastic Approaches,
ISVC13(I:266-279).
Springer DOI
1310
Diffusion Tensor Imaging with fiber tracking.
BibRef
Munoz-Moreno, E.[Emma],
Frangi, A.[Alejandro],
Spatial normalization of cardiac Diffusion Tensor Imaging for modeling
the muscular structure of the myocardium,
ICIP10(4413-4416).
IEEE DOI
1009
BibRef
Collins, M.D.[Maxwell D.],
Singh, V.[Vikas],
Alexander, A.L.[Andrew L.],
Network Connectivity via Inference over Curvature-Regularizing Line
Graphs,
ACCV10(I: 65-78).
Springer DOI
1011
Award, ACCV, Application Paper. Diffusion tensor imaging.
BibRef
Pai, D.[Darshan],
Muzik, O.[Otto],
Hua, J.[Jing],
Quantitative analysis of diffusion tensor images across subjects using
probabilistic tractography,
ICIP08(1448-1451).
IEEE DOI
0810
BibRef
Ng, M.C.,
Hu, Y.,
Wu, E.X.,
Yang, E.S.,
Luk, K.D.K.,
Diffusion Tensor-Based Fiber Tracking in Cervical Spinal Cord with a 3T
MRI,
Southwest06(76-80).
IEEE DOI
0603
BibRef
Welk, M.[Martin],
Theis, D.[David],
Brox, T.[Thomas],
Weickert, J.[Joachim],
PDE-Based Deconvolution with Forward-Backward Diffusivities and
Diffusion Tensors,
ScaleSpace05(585-597).
Springer DOI
0505
BibRef
Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Magnetic Particle Imaging .