21.11 Medical Applications -- Magnetic Resonance Imaging, MRI

Seeger, M.W.[Matthias W.], Nickisch, H.[Hannes],
Large Scale Bayesian Inference And Experimental Design For Sparse Linear Models,
SIIMS(4), No. 1, 2011, pp. 166-199.
DOI Link sparse linear model; sparsity prior; experimental design; sampling optimization; image acquisition; variational approximate inference; Bayesian statistics; compressive sensing; sparse reconstruction; magnetic resonance imaging BibRef 1100

Astola, L.[Laura], Florack, L.M.J.[Luc M.J.],
Finsler Geometry on Higher Order Tensor Fields and Applications to High Angular Resolution Diffusion Imaging,
IJCV(92), No. 3, May 2011, pp. 325-336.
WWW Link. 1103
BibRef
Earlier: SSVM09(224-234).
Springer DOI 0906
BibRef

Haldar, J.P., Hernando, D., Liang, Z.P.,
Compressed-Sensing MRI With Random Encoding,
MedImg(30), No. 4, April 2011, pp. 893-903.
IEEE DOI 1104
BibRef
And: Correction: MedImg(32), No. 7, 2013, pp. 1362-1362.
IEEE DOI 1307
Compressed sensing BibRef

Varadarajan, D., Haldar, J.P.,
A Majorize-Minimize Framework for Rician and Non-Central Chi MR Images,
MedImg(34), No. 10, October 2015, pp. 2191-2202.
IEEE DOI 1511
biodiffusion BibRef

Ravishankar, S., Bresler, Y.,
MR Image Reconstruction From Highly Undersampled k-Space Data by Dictionary Learning,
MedImg(30), No. 5, May 2011, pp. 1028-1041.
IEEE DOI 1105
BibRef

Ye, X., Chen, Y., Huang, F.,
Computational Acceleration for MR Image Reconstruction in Partially Parallel Imaging,
MedImg(30), No. 5, May 2011, pp. 1055-1063.
IEEE DOI 1105
BibRef

Montefusco, L.B., Lazzaro, D., Papi, S., Guerrini, C.,
A Fast Compressed Sensing Approach to 3D MR Image Reconstruction,
MedImg(30), No. 5, May 2011, pp. 1064-1075.
IEEE DOI 1105
BibRef

Michailovich, O.V., Rathi, Y., Dolui, S.,
Spatially Regularized Compressed Sensing for High Angular Resolution Diffusion Imaging,
MedImg(30), No. 5, May 2011, pp. 1100-1115.
IEEE DOI 1105
BibRef

Ramirez, L., Prieto, C., Sing-Long, C., Uribe, S., Batchelor, P., Tejos, C., Irarrazaval, P.,
TRIO a Technique for Reconstruction Using Intensity Order: Application to Undersampled MRI,
MedImg(30), No. 8, August 2011, pp. 1566-1576.
IEEE DOI 1108
BibRef

Guerquin-Kern, M., Haberlin, M., Pruessmann, K.P., Unser, M.,
A Fast Wavelet-Based Reconstruction Method for Magnetic Resonance Imaging,
MedImg(30), No. 9, September 2011, pp. 1649-1660.
IEEE DOI 1109
BibRef

Guerquin-Kern, M., Lejeune, L., Pruessmann, K.P., Unser, M.,
Realistic Analytical Phantoms for Parallel Magnetic Resonance Imaging,
MedImg(31), No. 3, March 2012, pp. 626-636.
IEEE DOI 1203
BibRef

Huang, J.Z.[Jun-Zhou], Zhang, S.T.[Shao-Ting], Li, H.S.[Hong-Sheng], Metaxas, D.N.[Dimitris N.],
Composite splitting algorithms for convex optimization,
CVIU(115), No. 12, December 2011, pp. 1610-1622.
Elsevier DOI 1111
Convex optimization; Composite splitting; Compressive sensing; MR image reconstruction; Low-rank tensor completion BibRef

Kaden, E., Kruggel, F.,
A Reproducing Kernel Hilbert Space Approach for Q-Ball Imaging,
MedImg(30), No. 11, November 2011, pp. 1877-1886.
IEEE DOI 1111
BibRef

Strachota, P.[Pavel], Beneš, M.[Michal], Tintera, J.[Jaroslav],
Towards clinical applicability of the diffusion-based DT-MRI visualization algorithm,
JVCIR(23), No. 2, February 2012, pp. 387-396.
Elsevier DOI 1201
Biomedical magnetic resonance imaging; Diffusion equations; Computational study; Parallel processing; Scientific visualization; Diffusion tensor; Numerical solution; Total variation BibRef

Salomir, R., Viallon, M., Kickhefel, A., Roland, J., Morel, D.R., Petrusca, L., Auboiroux, V., Goget, T., Terraz, S., Becker, C.D., Gross, P.,
Reference-Free PRFS MR-Thermometry Using Near-Harmonic 2-D Reconstruction of the Background Phase,
MedImg(31), No. 2, February 2012, pp. 287-301.
IEEE DOI 1202
BibRef

Seo, J.K., Kim, M.O., Lee, J., Choi, N., Woo, E.J., Kim, H.J., Kwon, O.I., Kim, D.H.,
Error Analysis of Nonconstant Admittivity for MR-Based Electric Property Imaging,
MedImg(31), No. 2, February 2012, pp. 430-437.
IEEE DOI 1202
BibRef

Smith, D.S., Li, X., Gambrell, J.V., Arlinghaus, L.R., Quarles, C.C., Yankeelov, T.E., Welch, E.B.,
Robustness of Quantitative Compressive Sensing MRI: The Effect of Random Undersampling Patterns on Derived Parameters for DCE- and DSC-MRI,
MedImg(31), No. 2, February 2012, pp. 504-511.
IEEE DOI 1202
BibRef

Özcan, A.[Alpay], Wong, K.H.[Kenneth H.], Larson-Prior, L.[Linda], Cho, Z.H.[Zang-Hee], Mun, S.K.[Seong K.],
Background and mathematical analysis of diffusion MRI methods,
IJIST(22), No. 1, March 2012, pp. 44-52.
DOI Link 1202
BibRef

Tournier, J.D.[J. Donald], Calamante, F.[Fernando], Connelly, A.[Alan],
MRtrix: Diffusion tractography in crossing fiber regions,
IJIST(22), No. 1, March 2012, pp. 53-66.
DOI Link 1202
BibRef

Stikov, N.[Nikola],
Improving the accuracy of cross-relaxation imaging,
IJIST(22), No. 1, March 2012, pp. 67-72.
DOI Link 1202
cross-relaxation imaging; magnetization transfer; quantitative magnetic resonance imaging; Biomarkers sensitive to the tissue content. BibRef

Fuentes, D., Yung, J., Hazle, J.D., Weinberg, J.S., Stafford, R.J.,
Kalman Filtered MR Temperature Imaging for Laser Induced Thermal Therapies,
MedImg(31), No. 4, April 2012, pp. 984-994.
IEEE DOI 1204
BibRef

Du, J., Goh, A., Qiu, A.,
Diffeomorphic Metric Mapping of High Angular Resolution Diffusion Imaging Based on Riemannian Structure of Orientation Distribution Functions,
MedImg(31), No. 5, May 2012, pp. 1021-1033.
IEEE DOI 1202
BibRef

Niu, R., Skliar, M.,
Identification of Reduced-Order Thermal Therapy Models Using Thermal MR Images: Theory and Validation,
MedImg(31), No. 7, July 2012, pp. 1493-1504.
IEEE DOI 1208
BibRef

Wilm, B.J., Barmet, C., Pruessmann, K.P.,
Fast Higher-Order MR Image Reconstruction Using Singular-Vector Separation,
MedImg(31), No. 7, July 2012, pp. 1396-1403.
IEEE DOI 1208
BibRef
And: Erratum: MedImg(31), No. 9, September 2012, pp. 1833.
IEEE DOI 1209
BibRef

Sun, Y.C.[Yuan-Chang], Xin, J.[Jack],
Nonnegative Sparse Blind Source Separation for NMR Spectroscopy by Data Clustering, Model Reduction, and L_1 Minimization,
SIIMS(5), No. 3 2012, pp. 886-911.
DOI Link 1208
BibRef
Earlier:
A Recursive Sparse Blind Source Separation Method for Nonnegative and Correlated Data in NMR Spectroscopy,
CAIP11(II: 81-88).
Springer DOI 1109
BibRef

Zhao, B., Haldar, J.P., Christodoulou, A.G., Liang, Z.P.,
Image Reconstruction From Highly Undersampled (k,t)-Space Data With Joint Partial Separability and Sparsity Constraints,
MedImg(31), No. 9, September 2012, pp. 1809-1820.
IEEE DOI 1209
BibRef

Majumdar, A.[Angshul], Ward, R.K.[Rabab K.],
On the choice of Compressed Sensing priors and sparsifying transforms for MR image reconstruction: An experimental study,
SP:IC(27), No. 9, October 2012, pp. 1035-1048.
Elsevier DOI 1210
Compressed Sensing; MRI; Non-convex algorithms BibRef

Shukla, A., Majumdar, A.[Angshul], Ward, R.K.[Rabab K.],
A Kronecker Compressed Sensing formulation for energy efficient EEG sensing,
ICAPR15(1-6)
IEEE DOI 1511
biomedical equipment BibRef

Takizawa, M., Hanada, H., Oka, K., Takahashi, T., Yamamoto, E., Fujii, M.,
A Robust Ultrashort TE (UTE) Imaging Method With Corrected k-Space Trajectory by Using Parametric Multiple Function Model of Gradient Waveform,
MedImg(32), No. 2, February 2013, pp. 306-316.
IEEE DOI 1301
BibRef

Zhu, Y.G.[Yong-Gui], Shi, Y.Y.[Yu-Ying],
A Fast Method for Reconstruction of Total-Variation MR Images With a Periodic Boundary Condition,
SPLetters(20), No. 4, April 2013, pp. 291-294.
IEEE DOI 1303
BibRef

Savage, N.,
Path found to combined MRI and CT Scanner,
Spectrum(50), No. 4, April 2013, pp. 16-18.
IEEE DOI 1304
Spectrum News item BibRef

Neuman, B.P.[Bartosz P.], Tench, C.[Christopher], Bai, L.[Li],
Tikhonov Regularisation in Diffusion Signal Estimation,
BMVA(2013), No. 1, 2013, pp. 9, 1-14.
PDF File. 1304
BibRef

Duan, J.Z.[Ji-Zhong], Liu, Y.[Yu], Zhang, L.[Liyi],
Bregman Iteration Based Efficient Algorithm for MR Image Reconstruction From Undersampled K-Space Data,
SPLetters(20), No. 8, 2013, pp. 831-834.
IEEE DOI 1307
biomedical MRI BibRef

Liu, Q.G.[Qie-Gen], Wang, S.S.[Shan-Shan], Yang, K.[Kun], Luo, J.H.[Jian-Hua], Zhu, Y.M.[Yue-Min], Liang, D.[Dong],
Highly Undersampled Magnetic Resonance Image Reconstruction Using Two-Level Bregman Method With Dictionary Updating,
MedImg(32), No. 7, 2013, pp. 1290-1301.
IEEE DOI 1307
biomedical MRI BibRef

Belghith, A.[Akram], Collet, C.[Christophe], Rumbach, L.[Lucien], Armspach, J.P.[Jean-Paul],
A unified framework for peak detection and alignment: Application to HR-MAS 2D NMR spectroscopy,
SIViP(7), No. 5, September 2013, pp. 833-842.
Springer DOI 1309
BibRef

Kasten, J., Lazeyras, F., van de Ville, D.,
Data-Driven MRSI Spectral Localization Via Low-Rank Component Analysis,
MedImg(32), No. 10, 2013, pp. 1853-1863.
IEEE DOI 1311
biomedical MRI BibRef

Honarvar, M., Sahebjavaher, R., Sinkus, R., Rohling, R., Salcudean, S.E.,
Curl-Based Finite Element Reconstruction of the Shear Modulus Without Assuming Local Homogeneity: Time Harmonic Case,
MedImg(32), No. 12, 2013, pp. 2189-2199.
IEEE DOI 1312
Elasticity BibRef

Bilgic, B., Chatnuntawech, I., Setsompop, K., Cauley, S.F., Yendiki, A., Wald, L.L., Adalsteinsson, E.,
Fast Dictionary-Based Reconstruction for Diffusion Spectrum Imaging,
MedImg(32), No. 11, 2013, pp. 2022-2033.
IEEE DOI 1312
biodiffusion BibRef

Chen, Y.[Ye], Shu, Y.Z.[Yuan-Zhong],
Optimization of Bilateral Filter Parameters via Chi-Square Unbiased Risk Estimate,
SPLetters(21), No. 1, January 2014, pp. 97-100.
IEEE DOI 1402
biomedical MRI BibRef

Daducci, A., Canales-Rodriguez, E.J., Descoteaux, M., Garyfallidis, E., Gur, Y., Lin, Y.C.[Ying-Chia], Mani, M., Merlet, S., Paquette, M., Ramirez-Manzanares, A., Reisert, M., Rodrigues, P.R.[P. Reis], Sepehrband, F., Caruyer, E., Choupan, J., Deriche, R., Jacob, M., Menegaz, G., Prckovska, V., Rivera, M., Wiaux, Y., Thiran, J.P.,
Quantitative Comparison of Reconstruction Methods for Intra-Voxel Fiber Recovery From Diffusion MRI,
MedImg(33), No. 2, February 2014, pp. 384-399.
IEEE DOI 1403
biodiffusion BibRef

Reed, G.D., von Morze, C., Bok, R., Koelsch, B.L., van Criekinge, M., Smith, K.J., Shang, H.[Hong], Larson, P.E.Z., Kurhanewicz, J., Vigneron, D.B.,
High Resolution ^13 C MRI With Hyperpolarized Urea: In Vivo T_2 Mapping and ^15 N Labeling Effects,
MedImg(33), No. 2, February 2014, pp. 362-371.
IEEE DOI 1403
biomedical MRI BibRef

Maidens, J.[John], Gordon, J.W.[Jeremy W.], Arcak, M.[Murat], Larson, P.E.Z.[Peder E.Z.],
Optimizing Flip Angles for Metabolic Rate Estimation in Hyperpolarized Carbon-13 MRI,
MedImg(35), No. 11, November 2016, pp. 2403-2412.
IEEE DOI 1609
biochemistry BibRef

Zhang, N.[Na], Li, C.[Chong], Jiang, T.Z.[Tian-Zi],
An improved OPDT model in high angular resolution diffusion imaging,
JMIV(48), No. 3, March 2014, pp. 385-395.
Springer DOI 1403
High angular resolution diffusion imaging (HARDI) BibRef

Haldar, J.P.,
Low-Rank Modeling of Local k -Space Neighborhoods (LORAKS) for Constrained MRI,
MedImg(33), No. 3, March 2014, pp. 668-681.
IEEE DOI 1404
biomedical MRI BibRef

Han, M.Y.[Min-Yeon], Park, F.C.,
DTI Segmentation and Fiber Tracking Using Metrics on Multivariate Normal Distributions,
JMIV(49), No. 2, June 2014, pp. 317-334.
WWW Link. 1405
BibRef

Nguyen, H.D., McLachlan, G.J., Cherbuin, N., Janke, A.L.,
False Discovery Rate Control in Magnetic Resonance Imaging Studies via Markov Random Fields,
MedImg(33), No. 8, August 2014, pp. 1735-1748.
IEEE DOI 1408
Australia BibRef

Nguyen, H.D., Janke, A.L., Cherbuin, N., McLachlan, G.J., Sachdev, P., Anstey, K.J.,
Spatial False Discovery Rate Control for Magnetic Resonance Imaging Studies,
DICTA13(1-8)
IEEE DOI 1402
Markov processes BibRef

Harkins, K.D., Does, M.D., Grissom, W.A.,
Iterative Method for Predistortion of MRI Gradient Waveforms,
MedImg(33), No. 8, August 2014, pp. 1641-1647.
IEEE DOI 1408
Magnetic resonance imaging BibRef

Vogel, P., Lother, S., Ruckert, M.A., Kullmann, W.H., Jakob, P.M., Fidler, F., Behr, V.C.,
MRI Meets MPI: A Bimodal MPI-MRI Tomograph,
MedImg(33), No. 10, October 2014, pp. 1954-1959.
IEEE DOI 1411
biomedical MRI BibRef

McGivney, D.F., Pierre, E., Ma, D.[Dan], Jiang, Y.[Yun], Saybasili, H., Gulani, V., Griswold, M.A.,
SVD Compression for Magnetic Resonance Fingerprinting in the Time Domain,
MedImg(33), No. 12, December 2014, pp. 2311-2322.
IEEE DOI 1412
approximation theory BibRef

Marx, M., Plata, J., Pauly, K.B.,
Toward Volumetric MR Thermometry With the MASTER Sequence,
MedImg(34), No. 1, January 2015, pp. 148-155.
IEEE DOI 1502
biodiffusion BibRef

Cheng, G.[Guang], Salehian, H., Forder, J.R., Vemuri, B.C.,
Tractography From HARDI Using an Intrinsic Unscented Kalman Filter,
MedImg(34), No. 1, January 2015, pp. 298-305.
IEEE DOI 1502
Kalman filters BibRef

Abe, T.[Takayuki],
Quantitative evaluation of B1 insensitivity in nonadiabatic frequency-selective fat-suppression RF pulse techniques,
IJIST(25), No. 1, 2015, pp. 86-91.
DOI Link 1502
nonadiabatic RF pulse BibRef

Shafiee, M.J., Haider, S.A., Wong, A., Lui, D., Cameron, A., Modhafar, A., Fieguth, P.W., Haider, M.A.,
Apparent Ultra-High b-Value Diffusion-Weighted Image Reconstruction via Hidden Conditional Random Fields,
MedImg(34), No. 5, May 2015, pp. 1111-1124.
IEEE DOI 1505
Computational complexity BibRef

Hao, W.L.[Wang-Li], Li, J.W.[Jian-Wu], Dong, Z.C.[Zheng-Chao], Li, Q.H.[Qi-Hong], Yu, K.T.[Kai-Tao],
An empirical study on compressed sensing MRI using fast composite splitting algorithm and combined sparsifying transforms,
IJIST(25), No. 4, 2015, pp. 302-309.
DOI Link 1512
compressed sensing, MR image reconstruction, sparsifying transforms BibRef

Chu, C.Y.[Chun-Yu], Huang, J.P.[Jian-Ping], Sun, C.Y.[Chang-Yu], Zhang, Y.L.[Yan-Li], Liu, W.Y.[Wan-Yu], Zhu, Y.M.[Yue-Min],
Estimating intravoxel fiber architecture using constrained compressed sensing combined with multitensor adaptive smoothing,
IJIST(25), No. 4, 2015, pp. 285-296.
DOI Link 1512
constrained compressed sensing BibRef

Dietrich, B.E., Brunner, D.O., Wilm, B.J., Barmet, C., Pruessmann, K.P.,
Continuous Magnetic Field Monitoring Using Rapid Re-Excitation of NMR Probe Sets,
MedImg(35), No. 6, June 2016, pp. 1452-1462.
IEEE DOI 1606
Arrays BibRef

Chauffert, N.[Nicolas], Weiss, P.[Pierre], Kahn, J.[Jonas], Ciuciu, P.[Philippe],
A Projection Algorithm for Gradient Waveforms Design in Magnetic Resonance Imaging,
MedImg(35), No. 9, September 2016, pp. 2026-2039.
IEEE DOI 1609
Distortion BibRef

Boyer, C.[Claire], Chauffert, N.[Nicolas], Ciuciu, P.[Philippe], Kahn, J.[Jonas], Weiss, P.[Pierre],
On the Generation of Sampling Schemes for Magnetic Resonance Imaging,
SIIMS(9), No. 4, 2016, pp. 2039-2072.
DOI Link 1612
BibRef

Küstner, T., Würslin, C., Gatidis, S., Martirosian, P., Nikolaou, K., Schwenzer, N., Schick, F., Yang, B., Schmidt, H.,
MR Image Reconstruction Using a Combination of Compressed Sensing and Partial Fourier Acquisition: ESPReSSo,
MedImg(35), No. 11, November 2016, pp. 2447-2458.
IEEE DOI 1609
biomedical MRI BibRef

Zhan, S.[Shu], Yang, X.[Xiong],
MR image bias field harmonic approximation with histogram statistical analysis,
PRL(83, Part 1), No. 1, 2016, pp. 91-98.
Elsevier DOI 1609
MRI BibRef

Storath, M., Brandt, C., Hofmann, M., Knopp, T., Salamon, J., Weber, A., Weinmann, A.,
Edge Preserving and Noise Reducing Reconstruction for Magnetic Particle Imaging,
MedImg(36), No. 1, January 2017, pp. 74-85.
IEEE DOI 1701
Atmospheric measurements BibRef

Zhang, Y., Chen, S., Deng, K., Chen, B., Wei, X., Yang, J., Wang, S., Ying, K.,
Kalman Filtered Bio Heat Transfer Model Based Self-adaptive Hybrid Magnetic Resonance Thermometry,
MedImg(36), No. 1, January 2017, pp. 194-202.
IEEE DOI 1701
Biological system modeling BibRef

Zhao, L., Dai, W., Soman, S., Hackney, D.B., Wong, E.T., Robson, P.M., Alsop, D.C.,
Using Anatomic Magnetic Resonance Image Information to Enhance Visualization and Interpretation of Functional Images: A Comparison of Methods Applied to Clinical Arterial Spin Labeling Images,
MedImg(36), No. 2, February 2017, pp. 487-496.
IEEE DOI 1702
Biomedical imaging BibRef

van Gemert, J.H.F., Brink, W.M., Webb, A.G., Remis, R.F.,
An Efficient Methodology for the Analysis of Dielectric Shimming Materials in Magnetic Resonance Imaging,
MedImg(36), No. 2, February 2017, pp. 666-673.
IEEE DOI 1702
Computational modeling BibRef

van Gemert, J.H.F., Brink, W.M., Webb, A.G., Remis, R.F.,
High-Permittivity Pad Design for Dielectric Shimming in Magnetic Resonance Imaging Using Projection-Based Model Reduction and a Nonlinear Optimization Scheme,
MedImg(37), No. 4, April 2018, pp. 1035-1044.
IEEE DOI 1804
Dielectrics, IEEE Constitution, Magnetosphere, Permittivity, Radio frequency, B1? fields, Magnetic resonance imaging, reduced order modeling BibRef

Gibbons, E.K., Le Roux, P., Vasanawala, S.S., Pauly, J.M., Kerr, A.B.,
Body Diffusion Weighted Imaging Using Non-CPMG Fast Spin Echo,
MedImg(36), No. 2, February 2017, pp. 549-559.
IEEE DOI 1702
Distortion BibRef

Gibbons, E.K., Le Roux, P., Vasanawala, S.S., Pauly, J.M., Kerr, A.B.,
Robust Self-Calibrating nCPMG Acquisition: Application to Body Diffusion-Weighted Imaging,
MedImg(37), No. 1, January 2018, pp. 200-209.
IEEE DOI 1801
biodiffusion, biomedical MRI, calibration, image reconstruction, medical image processing, phantoms, SNR, abdominal imaging, nCPMG BibRef

Chen, X., Usman, M., Baumgartner, C.F., Balfour, D.R., Marsden, P.K., Reader, A.J., Prieto, C., King, A.P.,
High-Resolution Self-Gated Dynamic Abdominal MRI Using Manifold Alignment,
MedImg(36), No. 4, April 2017, pp. 960-971.
IEEE DOI 1704
Dynamics BibRef

Pal, C.[Chandrajit], Das, P.[Pabitra], Chakrabarti, A.[Amlan], Ghosh, R.[Ranjan],
Rician noise removal in magnitude MRI images using efficient anisotropic diffusion filtering,
IJIST(27), No. 3, 2017, pp. 248-264.
DOI Link 1708
diffusion coefficient, edge preservation index, mean square error, moment-based Rician noise reduction anisotropic diffusion, quality index based on local variance, Rician noise, Rician variance, second order moment, , structural, similarity BibRef

Pieciak, T.[Tomasz], Aja-Fernández, S.[Santiago], Vegas-Sanchez-Ferrero, G.[Gonzalo],
Non-Stationary Rician Noise Estimation in Parallel MRI Using a Single Image: A Variance-Stabilizing Approach,
PAMI(39), No. 10, October 2017, pp. 2015-2029.
IEEE DOI 1709
Data models, Estimation, Image reconstruction, Magnetic resonance imaging, Receivers, Rician channels, Sensitivity, MRI, Rician distribution, noise estimation, parallel MRI, spatially variant noise, variance-stabilizing, transformation BibRef

Pieciak, T.[Tomasz],
The maximum spacing noise estimation in single-coil background MRI data,
ICIP14(1743-1747)
IEEE DOI 1502
Approximation methods BibRef

Yang, W., Zhong, L., Chen, Y., Lin, L., Lu, Z., Liu, S., Wu, Y., Feng, Q., Chen, W.,
Predicting CT Image From MRI Data Through Feature Matching With Learned Nonlinear Local Descriptors,
MedImg(37), No. 4, April 2018, pp. 977-987.
IEEE DOI 1804
Attenuation, Biomedical imaging, Bones, Computed tomography, Image segmentation, CT prediction, KNN regression, nonlinear descriptor BibRef

Korti, A.[Amel],
Regularization in parallel magnetic resonance imaging,
IJIST(28), No. 2, 2018, pp. 92-98.
WWW Link. 1806
BibRef

Nataraj, G., Nielsen, J., Scott, C., Fessler, J.A.,
Dictionary-Free MRI PERK: Parameter Estimation via Regression with Kernels,
MedImg(37), No. 9, September 2018, pp. 2103-2114.
IEEE DOI 1809
Kernel, Magnetic resonance imaging, Estimation, Parameter estimation, Optimization, Training, Image reconstruction, kernels BibRef

Chang, J.[Jie], Gu, N.J.[Nai-Jie], Zhang, X.C.[Xiao-Ci], Yang, L.[Li], Lin, C.W.[Chuan-Wen], Huang, Z.S.[Zeng-Shi], Su, J.J.[Jun-Jie],
An uniformizing method of MR image intensity transformation,
JVCIR(57), 2018, pp. 138-151.
Elsevier DOI 1812
MR images, Intensity value, Distribution uniformization BibRef

Benjamini, D., Komlosh, M.E., Williamson, N.H., Basser, P.J.,
Generalized Mean Apparent Propagator MRI to Measure and Image Advective and Dispersive Flows in Medicine and Biology,
MedImg(38), No. 1, January 2019, pp. 11-20.
IEEE DOI 1901
Magnetic resonance imaging, In vivo, Optimization, Dispersion, Biology, Microscopy, Diffusion, advection, flow, MRI, q-space, propagator, dispersion BibRef

Brusini, L., Menegaz, G., Nilsson, M.,
Monte Carlo Simulations of Water Exchange Through Myelin Wraps: Implications for Diffusion MRI,
MedImg(38), No. 6, June 2019, pp. 1438-1445.
IEEE DOI 1906
Axons, Magnetic resonance imaging, Microstructure, Spirals, Analytical models, Geometry, White matter, PGSTE, exchange time, Kärger BibRef

Jiang, C., Du, G., Lin, T.,
Magnetic Resonance Tomography for 3-D Water-Bearing Structures Using a Loop Array Layout,
GeoRS(57), No. 7, July 2019, pp. 4544-4557.
IEEE DOI 1907
Layout, Data models, Image resolution, Nuclear magnetic resonance, Magnetic resonance imaging, Arrays, 3-D displays, image resolution, water resources BibRef

Sun, L.Y.[Li-Yan], Fan, Z.W.[Zhi-Wen], Fu, X.Y.[Xue-Yang], Huang, Y.[Yue], Ding, X.H.[Xing-Hao], Paisley, J.[John],
A Deep Information Sharing Network for Multi-Contrast Compressed Sensing MRI Reconstruction,
IP(28), No. 12, December 2019, pp. 6141-6153.
IEEE DOI 1909
Transmitters, Receivers, Fading channels, Network coding, Output feedback, Numerical models, Nickel, Compressed sensing, deep neural networks BibRef

Fan, Z.W.[Zhi-Wen], Sun, L.Y.[Li-Yan], Ding, X.H.[Xing-Hao], Huang, Y.[Yue], Cai, C.B.[Cong-Bo], Paisley, J.[John],
A Segmentation-Aware Deep Fusion Network for Compressed Sensing MRI,
ECCV18(VI: 55-70).
Springer DOI 1810
BibRef

Zimmermann, M., Oros-Peusquens, A., Iordanishvili, E., Shin, S., Yun, S.D., Abbas, Z., Shah, N.J.,
Multi-Exponential Relaxometry Using L_1-Regularized Iterative NNLS (MERLIN) With Application to Myelin Water Fraction Imaging,
MedImg(38), No. 11, November 2019, pp. 2676-2686.
IEEE DOI 1911
Neuroscience, Magnetic resonance imaging, Signal to noise ratio, Noise reduction, Microstructure, In vivo, parametric estimation BibRef

Lam, F., Li, Y., Peng, X.,
Constrained Magnetic Resonance Spectroscopic Imaging by Learning Nonlinear Low-Dimensional Models,
MedImg(39), No. 3, March 2020, pp. 545-555.
IEEE DOI 2004
Data models, Feature extraction, Image reconstruction, Imaging, Neural networks, Manifolds, Signal to noise ratio, spatiospectral constraint BibRef

Hafftka, A.[Ariel], Czaja, W.[Wojciech], Celik, H.[Hasan], Spencer, R.G.[Richard G.],
N-Dimensional Tensor Completion for Nuclear Magnetic Resonance Relaxometry,
SIIMS(13), No. 1, 2020, pp. 176-213.
DOI Link 2004
BibRef

Colombo, S., Lebedev, V., Tonyushkin, A., Pengue, S., Weis, A.,
Imaging Magnetic Nanoparticle Distributions by Atomic Magnetometry-Based Susceptometry,
MedImg(39), No. 4, April 2020, pp. 922-933.
IEEE DOI 2004
Magnetic resonance imaging, Magnetometers, Magnetic domains, Magnetic recording, Magnetic moments, Coils, Biomedical imaging, specific absorption rate (SAR) BibRef

Langner, T., Wikström, J., Bjerner, T., Ahlström, H., Kullberg, J.,
Identifying Morphological Indicators of Aging With Neural Networks on Large-Scale Whole-Body MRI,
MedImg(39), No. 5, May 2020, pp. 1430-1437.
IEEE DOI 2005
Magnetic resonance imaging, Biomedical imaging, Aging, Training, Radiology, Surgery, Magnetic resonance imaging (MRI), whole-body, age BibRef

van Valenberg, W., Klein, S., Vos, F.M., Koolstra, K., van Vliet, L.J., Poot, D.H.J.,
An Efficient Method for Multi-Parameter Mapping in Quantitative MRI Using B-Spline Interpolation,
MedImg(39), No. 5, May 2020, pp. 1681-1689.
IEEE DOI 2005
Dictionaries, Interpolation, Splines (mathematics), Mathematical model, Fitting, Computational modeling, Optimization, quantitative magnetic resonance imaging BibRef

Song, J.E., Shin, J., Lee, H., Lee, H.J., Moon, W., Kim, D.,
Blind Source Separation for Myelin Water Fraction Mapping Using Multi-Echo Gradient Echo Imaging,
MedImg(39), No. 6, June 2020, pp. 2235-2245.
IEEE DOI 2006
Magnetic resonance imaging, GRE-MWI, blind source separation, myelin water fraction, robust principal component analysis BibRef

Song, J.E.[Jae Eun], Kim, D.H.[Dong-Hyun],
Improved Multi-Echo Gradient-Echo-Based Myelin Water Fraction Mapping Using Dimensionality Reduction,
MedImg(41), No. 1, January 2022, pp. 27-38.
IEEE DOI 2201
Feature extraction, Dimensionality reduction, Imaging, Estimation, Decoding, Training, Optical fiber networks, robust deep autoencoder BibRef

Bates, A.P., Daducci, A., Sadeghi, P., Caruyer, E.,
A 4D Basis and Sampling Scheme for the Tensor Encoded Multi-Dimensional Diffusion MRI Signal,
SPLetters(27), 2020, pp. 790-794.
IEEE DOI 2006
Diffusion MRI, multi-dimensional diffusion MRI, tensor encoding, spherical harmonics, spherical Laguerre BibRef

Huang, Y., Zheng, F., Cong, R., Huang, W., Scott, M.R., Shao, L.,
MCMT-GAN: Multi-Task Coherent Modality Transferable GAN for 3D Brain Image Synthesis,
IP(29), 2020, pp. 8187-8198.
IEEE DOI 2008
Magnetic resonance imaging, Image generation, Image segmentation, Task analysis, Biomedical imaging, Synthesis, brain MRI BibRef

Zhou, T., Fu, H., Chen, G., Shen, J., Shao, L.,
Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis,
MedImg(39), No. 9, September 2020, pp. 2772-2781.
IEEE DOI 2009
Image generation, Correlation, Image reconstruction, Magnetic resonance imaging, Medical diagnostic imaging, latent representation BibRef

Pramanik, A., Aggarwal, H.K., Jacob, M.,
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR),
MedImg(39), No. 12, December 2020, pp. 4186-4197.
IEEE DOI 2012
Magnetic resonance imaging, Calibration, Sensitivity, Acceleration, Null space, Noise measurement, Image reconstruction, Parallel MRI, DL BibRef

Lee, W.W.[Woo-Won], Moghaddam, A.O.[Amir Ostadi], Lin, Z.X.[Zi-Xi], McFarlin, B.L.[Barbara L.], Johnson, A.J.W.[Amy J. Wagoner], Toussaint, K.C.[Kimani C.],
Quantitative Classification of 3D Collagen Fiber Organization From Volumetric Images,
MedImg(39), No. 12, December 2020, pp. 4425-4435.
IEEE DOI 2012
Optical fiber polarization, Imaging, Mechanical factors, volumetric imaging BibRef

Aydogan, D.B., Shi, Y.,
Parallel Transport Tractography,
MedImg(40), No. 2, February 2021, pp. 635-647.
IEEE DOI 2102
Image color analysis, Complexity theory, National Institutes of Health, Magnetic resonance imaging, tractography BibRef

Chen, Q.[Quan], She, H.J.[Hua-Jun], Du, Y.P.P.[Yi-Ping P.],
Whole Brain Myelin Water Mapping in One Minute Using Tensor Dictionary Learning With Low-Rank Plus Sparse Regularization,
MedImg(40), No. 4, April 2021, pp. 1253-1266.
IEEE DOI 2104
Tensors, Redundancy, Dictionaries, Image reconstruction, Acceleration, Machine learning, Spatiotemporal phenomena, myelin water quantification BibRef

Rauff, A.[Adam], Timmins, L.H.[Lucas H.], Whitaker, R.T.[Ross T.], Weiss, J.A.[Jeffrey A.],
A Nonparametric Approach for Estimating Three-Dimensional Fiber Orientation Distribution Functions (ODFs) in Fibrous Materials,
MedImg(41), No. 2, February 2022, pp. 446-455.
IEEE DOI 2202
Optical fiber dispersion, Optical fiber networks, Optical fiber polarization, Fourier transforms, orientation distribution function (ODF) BibRef

Galazzo, I.B.[Ilaria Boscolo], Cruciani, F.[Federica], Brusini, L.[Lorenza], Salih, A.[Ahmed], Radeva, P.[Petia], Storti, S.F.[Silvia Francesca], Menegaz, G.[Gloria],
Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges,
SPMag(39), No. 2, March 2022, pp. 99-116.
IEEE DOI 2203
Neuroimaging, Deep learning, Magnetic resonance imaging, Aging, Predictive models, Artificial intelligence, Brain models BibRef

Mohammed, S.[Shahed], Honarvar, M.[Mohammad], Zeng, Q.[Qi], Hashemi, H.[Hoda], Rohling, R.[Robert], Kozlowski, P.[Piotr], Salcudean, S.[Septimiu],
Model-Based Quantitative Elasticity Reconstruction Using ADMM,
MedImg(41), No. 11, November 2022, pp. 3039-3052.
IEEE DOI 2211
Elasticity, Image reconstruction, Mathematical models, Finite element analysis, Displacement measurement, Filtering, viscoelasticity imaging BibRef

Cheng, F.[Feng], Liu, Y.L.[Yi-Lin], Chen, Y.[Yong], Yap, P.T.[Pew-Thian],
High-Resolution 3D Magnetic Resonance Fingerprinting With a Graph Convolutional Network,
MedImg(42), No. 3, March 2023, pp. 674-683.
IEEE DOI 2303
Spirals, Kernel, Imaging, Magnetic resonance imaging, Convolution, Deep learning, 3D magnetic resonance fingerprinting (MRF), k-space interpolation BibRef

Zhu, Y.J.[Yan-Jie], Cheng, J.[Jing], Cui, Z.X.[Zhuo-Xu], Zhu, Q.Y.[Qing-Yong], Ying, L.[Leslie], Liang, D.[Dong],
Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks,
SPMag(40), No. 2, March 2023, pp. 116-128.
IEEE DOI 2303
Deep learning, Biophysics, Uncertainty, Magnetic resonance imaging, Signal processing, Predictive models, Network architecture, Physics BibRef

Gras, V., Boulant, N., Luong, M., Morel, L., Le Touz, N., Adam, J.P., Joly, J.C.,
A Mathematical Analysis of Clustering-Free Local SAR Compression Algorithms for MRI Safety in Parallel Transmission,
MedImg(43), No. 2, February 2024, pp. 714-722.
IEEE DOI 2402
Radio frequency, Specific absorption rate, Computational modeling, Monitoring, Magnetic resonance imaging, ultra-high field BibRef

Vaish, A., Gupta, A., Rajwade, A.,
MSR-HARDI: Accelerated Reconstruction of HARDI Data Using Multiple Sparsity Regularizers,
ICIP20(2850-2854)
IEEE DOI 2011
Image reconstruction, Diffusion tensor imaging, Discrete cosine transforms, Phantoms, Diffusion MRI, Spherical Ridgelets BibRef

Virtue, P., Yu, S.X., Lustig, M.,
Better than real: Complex-valued neural nets for MRI fingerprinting,
ICIP17(3953-3957)
IEEE DOI 1803
biological tissues, biomedical MRI, fingerprint identification, learning (artificial intelligence), medical image processing, Parameter Mapping BibRef

Vogt, T.[Thomas], Lellmann, J.[Jan],
An Optimal Transport-Based Restoration Method for Q-Ball Imaging,
SSVM17(271-282).
Springer DOI 1706
edge-preserving total variation (TV)-based regularization of Q-ball data from high angular resolution diffusion imaging (HARDI) BibRef

Takerkart, S.[Sylvain], Berton, G.[Gottfried], Malfait, N.[Nicole], Dupé, F.X.[François-Xavier],
Learning from Diffusion-Weighted Magnetic Resonance Images Using Graph Kernels,
GbRPR17(39-48).
Springer DOI 1706
BibRef

Alaya, I.B.[Ines Ben], Jribi, M.[Majdi], Ghorbel, F.[Faouzi], Kraiem, T.[Tarek],
A Novel Geometrical Approach for a Rapid Estimation of the HARDI Signal in Diffusion MRI,
ICISP16(253-261).
WWW Link. 1606
BibRef

Vemulapalli, R., Nguyen, H.V., Zhou, S.K.,
Unsupervised Cross-Modal Synthesis of Subject-Specific Scans,
ICCV15(630-638)
IEEE DOI 1602
Biomedical imaging. Synthesize cross-modal images. MRI data. BibRef

Karras, D.A.,
A computional intelligence framework for NMR spectroscopy imaging and retrieval,
IPTA12(9-9)
IEEE DOI 1503
biomedical MRI BibRef

Ashab, H.A.D.[Hussam Al-Deen], Kozlowski, P.[Piotr], Goldenberg, S.L.[S. Larry], Moradi, M.[Mehdi],
Solutions for Missing Parameters in Computer-Aided Diagnosis with Multiparametric Imaging Data,
MLMI14(289-296).
Springer DOI 1410
Multiparametric MRI. BibRef

Courchesne, O., Guibault, F., Dompierre, J., Cheriet, F.,
Adaptive Mesh Generation of MRI Images for 3D Reconstruction of Human Trunk,
ICIAR07(1040-1051).
Springer DOI 0708
BibRef

Roberts, T.[Tim], Kingsbury, N.[Nick], Holland, D.J.[Daniel J.],
Sparse recovery of complex phase-encoded velocity images using iterative thresholding,
ICIP13(350-354)
IEEE DOI 1402
Approximation algorithms BibRef

Patarroyo, I.C.S.[Iván C. Salgado], Dolui, S.[Sudipto], Michailovich, O.V.[Oleg V.], Vrscay, E.R.[Edward R.],
Reconstruction of HARDI Data Using a Split Bregman Optimization Approach,
ICIAR13(589-596).
Springer DOI 1307
BibRef

Islam, R., Lambert, A.J., Pickering, M.R.,
Wavelet-Based Reconstruction for Rapid MRI,
DICTA12(1-4).
IEEE DOI 1303
BibRef

Giot, R.[Romain], Charrier, C.[Christophe], Descoteaux, M.[Maxime],
Local water diffusion phenomenon clustering from high angular resolution diffusion imaging (HARDI),
ICPR12(3745-3749).
WWW Link. 1302
BibRef

Ramani, S.[Sathish], Nielsen, J.F.[Jon-Fredrik], Fessler, J.A.[Jeffrey A.],
Cross-validation and predicted risk estimation for nonlinear iterative reweighted least-squares MRI reconstruction,
ICIP12(2049-2052).
IEEE DOI 1302
BibRef

Hermosillo, G.[Gerardo], Raykar, V.C.[Vikas C.], Zhou, X.[Xiang],
Learning to Locate Cortical Bone in MRI,
MLMI12(168-175).
Springer DOI 1211
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Koppers, S.[Simon], Merhof, D.[Dorit],
Direct Estimation of Fiber Orientations Using Deep Learning in Diffusion Imaging,
MLMI16(53-60).
Springer DOI 1611
BibRef

Röttger, D.[Diana], Dudai, D.[Daniela], Merhof, D.[Dorit], Müller, S.[Stefan],
Bundle Visualization Strategies for HARDI Characteristics,
ISVC12(I: 326-335).
Springer DOI 1209
BibRef

Díaz-García, J.[Jesús], Vázquez, P.P.[Pere-Pau],
Fast Illustrative Visualization of Fiber Tracts,
ISVC12(I: 698-707).
Springer DOI 1209
BibRef

Cai, H.P.[Hai-Peng], Chen, J.[Jian], Auchus, A.P.[Alexander P.], Correia, S.[Stephen], Laidlaw, D.H.[David H.],
Inshape: In-situ Shape-based Interactive Multiple-view Exploration of Diffusion MRI Visualizations,
ISVC12(II: 706-715).
Springer DOI 1209
BibRef

Krajsek, K.[Kai], Scharr, H.[Hanno],
A Riemannian approach for estimating orientation distribution function (ODF) images from high-angular resolution diffusion imaging (HARDI),
CVPR12(1019-1026).
IEEE DOI 1208
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Dolui, S.[Sudipto], Salgado Patarroyo, I.C.[Ivan C.], Michailovich, O.V.[Oleg V.], Rathi, Y.[Yogesh],
Reconstruction of HARDI using compressed sensing and its application to contrast HARDI,
MMBIA12(17-23).
IEEE DOI 1203
BibRef

Lu, W.[Wei], Li, T.R.[Tao-Ran], Atkinson, I.C.[Ian C.], Vaswani, N.[Namrata],
Modified-CS-residual for recursive reconstruction of highly undersampled functional MRI sequences,
ICIP11(2689-2692).
IEEE DOI 1201
BibRef

Deng, J.[Jun], Yang, Z.[Zai], Zhang, C.S.[Ci-Shen], Lu, W.M.[Wen-Miao],
Orthonormal expansion L1-minimization for compressed sensing in MRI,
ICIP11(2297-2300).
IEEE DOI 1201
BibRef

Zhu, Y.G.[Yong-Gui], Chern, I.L.[I-Liang],
Fast Alternating Minimization Method for Compressive Sensing MRI under Wavelet Sparsity and TV Sparsity,
ICIG11(356-361).
IEEE DOI 1109
BibRef

Lizarbe, B.[Blanca], Benitez, A.[Ania], Lago, L.[Luis], Sanchez-Montañes, M.[Manuel], López-Larrubia, P.[Pilar], Cerdán, S.[Sebastián],
Intelligent Image Analysis of Diffusion Weighted Data Sets: A New Tool for Functional Imaging,
IWCIA11(9-12).
Springer DOI 1105
BibRef

Chinea, A.[Alejandro],
Nonlinear Dynamical Analysis of Magnetic Resonance Spectroscopy Data,
IWCIA11(469-482).
Springer DOI 1105
BibRef

Liu, Y.G.[Yu-Gang], Wei, S.M.[Si-Ming], Jiang, Q.[Quan], Yu, Y.Z.[Yi-Zhou],
Reconstructing diffusion kurtosis tensors from sparse noisy measurements,
ICIP10(4185-4188).
IEEE DOI 1009
Diffusion kurtosis imaging in MRI BibRef

Aelterman, J.[Jan], Luong, H.Q.[Hiep Quang], Goossens, B.[Bart], Pizurica, A.[Aleksandra], Philips, W.[Wilfried],
Compass: A joint framework for Parallel Imaging and Compressive Sensing in MRI,
ICIP10(1653-1656).
IEEE DOI 1009
BibRef

Fan, G.Z.[Guang-Zhe], Wang, Z.[Zhou], Kim, S.B.[Seoung Bum], Temiyasathit, C.[Chivalai],
Classification of High-Resolution NMR Spectra Based on Complex Wavelet Domain Feature Selection and Kernel-Induced Random Forest,
ICISP10(593-600).
Springer DOI 1006
BibRef

Chen, Z.L.[Zhao-Lin], Johnston, L., Faggian, N., Kean, M., Zhang, J.X.[Jing-Xin], Egan, G.,
A Multistage Parallel Magnetic Resonance Image Reconstruction Method,
DICTA08(327-334).
IEEE DOI 0812
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McGraw, T.[Tim], Kawai, T.[Takamitsu], Yassine, I.[Inas], Zhu, L.[Lierong],
New Scalar Measures for Diffusion-Weighted MRI Visualization,
ISVC09(I: 934-943).
Springer DOI 0911
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Wang, M.M.[Miao Miao], Ding, X.H.[Xing Hao], Xiao, Q.[Quan], Cai, C.B.[Cong Bo],
Contourlet Based MR Image Reconstruction via Reweighted L1-Minimization,
CISP09(1-3).
IEEE DOI 0910
BibRef

Chen, S.S.[Shan-Shan], Li, R.[Ran], Yu, J.[Jie], Wang, H.Z.[Hong-Zhi], Zhang, X.L.[Xue-Long],
Program Algorithm Research of T2 Spectrum in NMR and MATLAB Realization,
CISP09(1-4).
IEEE DOI 0910
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Zhang, Z.M.[Zhen-Min], Peng, L.[Ling], Cai, S.H.[Shu-Hui], Chen, Z.[Zhong],
Signal Reconstruction in Unstable Magnetic Field NMR with Wavelet Analysis,
CISP09(1-4).
IEEE DOI 0910
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Zhao, M.[Min], Zhang, D.L.[Dong-Lai],
The Research of Parallel Magnetic Field Tomography Based on Finite Element Method,
CISP09(1-4).
IEEE DOI 0910
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Ehricke, H.H.[Hans-Heino], Otto, K.M.[Kay M.], Kumar, V.[Vinoid], Klose, U.[Uwe],
Diffusion MRI Tractography of Crossing Fibers by Cone-Beam ODF Regularization,
DAGM09(412-421).
Springer DOI 0909
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Peng, Y.[Yanni], Liu, Q.H.[Qing Huo],
An improved MRI reconstruction method based on table-lookup gridding,
IASP09(9-12).
IEEE DOI 0904
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Baldassarre, L.[Luca], Barla, A.[Annalisa], Gianesin, B.[Barbara], Marinelli, M.[Mauro],
Vector valued regression for iron overload estimation,
ICPR08(1-4).
IEEE DOI 0812
Not really MRI, but a magnetic iron detector to analyze body iron levels. BibRef

Tensaouti, F.[Fatima], Delion, M.[Matthieu], Lotterie, J.A.[Jean Albert], Clarisse, P.[Perrine], Berry, I.[Isabelle],
Reproducibility and reliability of the DTI fiber tracking algorithm integrated in the Sisyphe software,
IPTA08(1-5).
IEEE DOI 0811
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Ito, S.[Satoshi], Yamada, Y.[Yoshifumi],
Improvement of spatial resolution in magnetic resonance imaging using quadratic phase modulation,
ICIP09(2497-2500).
IEEE DOI 0911
BibRef
Earlier:
Parallel image reconstruction using a single signal in magnetic resonance imaging,
ICIP08(2964-2967).
IEEE DOI 0810
BibRef

Malczewski, K.[Krzysztof], Stasinski, R.[Ryszard],
Toeplitz-based iterative image fusion scheme for MRI,
ICIP08(341-344).
IEEE DOI 0810
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Lienemann, K.[Kai], Plötz, T.[Thomas], Fink, G.A.[Gernot A.],
Automatic Classification of NMR Spectra by Ensembles of Local Experts,
SSPR08(790-800).
Springer DOI 0812
BibRef

Leow, A.[Alex], Zhu, S.W.[Si-Wei], McMahon, K.[Katie], de Zubicaray, G.I.[Greig I.], Meredith, M.[Matt], Wright, M.[Margie], Thompson, P.[Paul],
Probabilistic multi-tensor estimation using the Tensor Distribution Function,
CVPR08(1-6).
IEEE DOI 0806
MRI BibRef

Ma, S.Q.[Shi-Qian], Yin, W.T.[Wo-Tao], Zhang, Y.[Yin], Chakraborty, A.[Amit],
An efficient algorithm for compressed MR imaging using total variation and wavelets,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Sepasian, N.[Neda], Vilanova, A.[Anna], Florack, L.M.J.[Luc M.J.], ter Haar Romeny, B.M.,
A ray tracing method for geodesic based tractography in diffusion tensor images,
MMBIA08(1-6).
IEEE DOI 0806
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Savadjiev, P.[Peter], Zucker, S.W.[Steven W.], Siddiqi, K.[Kaleem],
On the Differential Geometry of 3D Flow Patterns: Generalized Helicoids and Diffusion MRI Analysis,
ICCV07(1-8).
IEEE DOI 0710
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Chen, Z.L.[Zhao-Lin], Zhang, J.X.[Jing-Xin], Li, S.P.[Shen-Peng], Chai, L.[Li],
FB Analysis of PMRI and its Application to H-Inf Optimal Sense Reconstruction,
ICIP07(III: 129-132).
IEEE DOI 0709
Filter Bank analysis of parallel MRI for image reconstruction. BibRef

Ye, C.[Chuyang], Bazin, P.L.[Pierre-Louis], Ying, S.H.[Sarah H.], Prince, J.L.[Jerry L.],
A fiber tracking method guided by volumetric tract segmentation,
MMBIA12(137-142).
IEEE DOI 1203
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Landman, B.A.[Bennett A.], Bazin, P.L.[Pierre-Louis], Prince, J.L.[Jerry L.],
Diffusion Tensor Estimation by Maximizing Rician Likelihood,
MMBIA07(1-8).
IEEE DOI 0710
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Merhof, D.[Dorit], Hastreiter, P.[Peter], Soza, G.[Grzegorz], Nimsky, C.[Christopher],
Non-linear Integration of DTI-based Fiber Tracts into Standard 3D MR Data,
VMV04(371-378). 0411
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Sinha, N.[Neelam], Saranathan, M.[Manojkumar], Ramakrishnan, K.R., Suresh, S.,
Parallel Magnetic Resonance Imaging using Neural Networks,
ICIP07(III: 149-152).
IEEE DOI 0709
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Otazo, R.[Ricardo], Jordan, R.[Ramiro], Lin, F.H.[Fa-Hsuan], Posse, S.[Stefan],
Superresolution Parallel MRI,
ICIP07(III: 153-156).
IEEE DOI 0709
BibRef

La Torre, D.[Davide], Mendivil, F.[Franklin], Michailovich, O.V.[Oleg V.], Vrscay, E.R.[Edward R.],
Total Variation Minimization for Measure-Valued Images with Diffusion Spectrum Imaging as Motivation,
ICIAR16(131-137).
Springer DOI 1608
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Michailovich, O.V.[Oleg V.], La Torre, D.[Davide], Vrscay, E.R.[Edward R.],
Function-Valued Mappings, Total Variation and Compressed Sensing for diffusion MRI,
ICIAR12(II: 286-295).
Springer DOI 1206
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Mayer, G.S.[Gregory S.], Vrscay, E.R.[Edward R.],
Iterated Fourier Transform Systems: A Method for Frequency Extrapolation,
ICIAR07(728-739).
Springer DOI 0708
BibRef
Earlier:
Mathematical Analysis of 'Phase Ramping' for Super-Resolution Magnetic Resonance Imaging,
ICIAR06(I: 82-93).
Springer DOI 0610
BibRef

Wang, Z.[Zhou], Kim, S.B.[Seoung Bum],
Automatic Alignment of High-Resolution NMR Spectra Using a Bayesian Estimation Approach,
ICPR06(IV: 667-670).
IEEE DOI 0609
BibRef

Tschumperle, D., Deriche, R.,
Variational frameworks for DT-MRI estimation, regularization and visualization,
ICCV03(116-121).
IEEE DOI 0311
BibRef

Husse, S., Goussard, Y.,
Image Reconstruction in MRI: Regularized Approach by Markov Random Fields,
ICIP03(II: 851-854).
IEEE DOI 0312
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Bardinet, É.[Éric], Malandain, G.[Grégoire],
Fusion of autoradiographies with an MR volume using 2-D and 3-D linear transformations,
INRIARR-4791, Mars 2003.
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Roullot, E., Herment, A., Bloch, I., Nikolova, M., Mousseaux, E.,
Regularized Reconstruction of 3d High-resolution Magnetic Resonance Images from Acquisitions of Anisotropically Degraded Resolutions,
ICPR00(Vol III: 346-349).
IEEE DOI 0009
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Xu, D.X.[Dong-Xiang], Hwang, J.N.[Jenq-Neng], Yuan, C.[Chun],
A Robust Method of Identifying and Measuring Fibrous Cap in 3D Time-of-Flight MR Image,
ICIP99(II:164-167).
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Meyer, C.R., Bland, P.H., Pipe, J.,
Retrospective Correction of MRI Amplitude Inhomogeneities,
CVRMed95(XX-YY). BibRef 9500

Palubinskas, G.,
Adaptive Filtering in Magnetic Resonance Images,
ICPR96(III: 523-527).
IEEE DOI 9608
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Reeves, S.J., Hezar, R.,
Selection of observations in magnetic resonance spectroscopic imaging,
ICIP95(I: 641-644).
IEEE DOI 9510
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Cao, Y., Levin, D.N.,
Locally focused magnetic resonance imaging,
ICIP94(III: 30-34).
IEEE DOI 9411
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Hu, X.P.[Xiao-Ping], Parrish, T., Patel, M.,
Novel sampling schemes in magnetic resonance imaging,
ICIP94(III: 15-19).
IEEE DOI 9411
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Plevritis, S.K., Macovski, A.,
Alternative k-space sampling distributions for MR spectroscopic imaging,
ICIP94(III: 11-14).
IEEE DOI 9411
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Magnetic Resonance Imaging Systems, Hardware Implementations .

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