Peer-Reviewed Papers





Vemuri, B.; Sun, J.; Banerjee, M.; Pan, Z.; Turner, S.; Fuller, D.; Forder, J.; Entezari, A.; A geometric framework for ensemble average propagator reconstruction from diffusion MRI, Medical Image Analysis (MedIA), vol. 57, pp. 89-105, 2019.

Sun, J.; Entezari, A.; Vemuri, B.; Exploiting Structural Redundancy in q-space for Improved EAP Reconstruction from Highly Undersampled (k,q)-space in dMRI, Medical Image Analysis (MedIA), vol. 54, pp. 122-137, 2019.

Zhang, K.; Entezari, A.; A Convolutional Spline Framework for Forward and Back-Projection in Fan-Beam Geometry, IEEE Symposium on Biomedical Imaging (ISBI), Best Paper Award Finalist, pp. 1455-1458, 2019.

Zhang, K.; Entezari, A.; Box Spline Projection in Non-Parallel Geometry, IEEE Symposium on Biomedical Imaging (ISBI), pp. 1844-1847, 2019.

Ma, B.; Entezari, A.; An Interactive Framework for Visualization of Weather Forecast Ensembles, IEEE Transactions on Visualization and Computer Graphics (TVCG), Special Issue on IEEE VIS, vol. 25, no. 1, pp. 1091-1101, 2019.

Ma, B.; Entezari, A.; Volumetric Feature-Based Classification and Visibility Analysis for Transfer Function Design, IEEE Transactions on Visualization and Computer Graphics (TVCG), vol. 24, no. 12, pp. 3253-3267, 2018.

Entezari, A.; Zhang, K.; Sakhaee, E.; Sparse Approximation for Few View Tomographic Reconstruction, Splines in Imaging, SIAM Imaging Science (IS), Bologna, Italy, 2018.

Zwick, D.; Sakhaee, E.; Balachandar, S.; Entezari, A.; Accurate signal reconstruction for higher order Lagrangian–Eulerian back-coupling in multiphase turbulence, Fluid Dynamics Research, vol. 49, no.5, pp., 2017.

Zhang, K.; Entezari, A.; On Concentration Inequalities for Sparse Vectors, Signal Processing with Adaptive Sparse Structured Representations (SPARS), 2017.

Sakhaee, E.; Entezari, A.; Variable Splitting and Cycle Spinning for Sparse Signal Recovery, Signal Processing with Adaptive Sparse Structured Representations (SPARS), 2017.

Sakhaee, E.; Entezari, A.; Joint Inverse Problems for Signal Reconstruction via Dictionary Splitting, IEEE Signal Processing Letters (SPL), vol. 24, no.8, pp. 1203-1207, 2017.

Sakhaee, E.; Entezari, A.; A Statistical Direct Volume Rendering Framework for Visualization of Uncertain Data, IEEE Transactions on Visualization and Computer Graphics (TVCG), vol. 23, no.12, pp. 2509-2520, 2017.

Ma, B.; Suter, S. K.; Entezari, A.; Quality assessment of volume compression approaches using isovalue clustering, Computers and Graphics (CAG), vol. 63, no. C, pp.18-27, 2017.

Ma, B.; Jain, A.; Entezari, A.; 3D Saliency from Eye Tracking with Tomography, Eye Tracking and Visualization (ETVIS), Mathematics and Visualization, pp. 185-198, Springer, 2017.

Athawale, T.; Sakhaee, E.; Entezari, A.; Isosurface Visualization of Data with Nonparametric Models for Uncertainty, IEEE Transactions on Visualization and Computer Graphics (TVCG), Special Issue on IEEE VIS, vol.22, no.1, pp.777-786, January, 2016.

Sakhaee, E.; Entezari, A.; Sparse Partial Derivatives and Reconstruction From Partial Fourier Data, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3621-3625, 2015.

Sakhaee, E.; Arreola, M.; Entezari, A.; Gradient-Based Sparse Approximation for Computed Tomography, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1608-1611, 2015.

Sun, J.; Sakhaee, E.; Entezari, A.; Vemuri, B; Leveraging EAP-Sparsity for Compressed Sensing of MS-HARDI in (k,q)-Space, Information Processing in Medical Imaging (IPMI), vol. 9123, pp. 375-386, 2015.

Sakhaee, E.; Entezari, A.; Spline-based Sparse Tomographic Reconstruction with Besov Priors, Proc. SPIE, Medical Imaging, Image Processing, vol. 9413, pp. 375-386, 2015.

Sakhaee, E.; Entezari, A.; Spline Learning for Sparse Tomographic Reconstruction, Best Paper Award , Advances in Visual Computing (Proc. of ISVC), Springer Lecture Notes in Computer Science, pp. 1-10, 2014.

Suter, S.; Ma, B.; Entezari, A.; Visual Analysis of 3D Data by Isovalue Clustering, Advances in Visual Computing (Proc. of ISVC), Springer Lecture Notes in Computer Science, pp. 313-322, 2014.

Xu, X.; Sakhaee, E.; Entezari, A.;, Volumetric Data Reduction in a Compressed Sensing Framework, Computer Graphics Forum (CGF), Special Issue on EuroVIS, vol.33, no.3, pp.111-120, 2014.

Athawale, T.; Entezari, A.;, Uncertainty Quantification in Linear Interpolation for Isosurface Extraction, IEEE Transactions on Visualization and Computer Graphics (TVCG), Special Issue on IEEE VIS, vol.19, no.12, pp.2723-2732, December, 2013.

Xu, X.; Ye, W.; Entezari, A.;, Bandlimited Reconstruction of Multidimensional Images from Irregular Samples, IEEE Transactions on Image Processing (TIP), vol.22, no.10, pp.3950-3960, October, 2013.

Sun, J.; Xie, Y; Ye, W.; Ho, J., Entezari, A.; Blackband, S.; Vemuri, B.;, Dictionary Learning on the Manifold of Square Root Densities and Applications to Reconstruction of Diffusion Propagator Fields, Information Processing in Medical Imaging (IPMI), vol. 7917, pp.619-631, 2013.

Mirzargar, M.; Sakhaee, E.; Entezari, A.;, A Spline Framework For Sparse Tomographic Reconstruction, IEEE International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, pp.1272-1275, 2013.

Entezari, A.; Nilchian, M.; Unser, M.; A Box Spline Calculus for the Discretization of Computed Tomography Reconstruction Problems, IEEE Transactions on Medical Imaging (TMI), vol.31, no.8, pp.1532-1541, August, 2012.

Xu, X.; Alvarado, A. S.; Entezari, A.;, Reconstruction of Irregularly-Sampled Volumetric Data in Efficient Box Spline Spaces, IEEE Transactions on Medical Imaging (TMI), vol.31, no.7, pp.1472-1480, July 2012.

Ye, W.; Entezari, A.;, A Geometric Construction of Multivariate Sinc Functions, IEEE Transactions on Image Processing (TIP), vol.21, no.6, pp.2969-2979, June 2012.

Ye, W.; Portnoy, S.; Entezari, A.; Blackband, S.; Vemuri, B.;, An Efficient Interlaced Multi-shell Sampling Scheme for Reconstruction of Diffusion Propagators, IEEE Transactions on Medical Imaging (TMI), vol.31, no.5, pp.1043-1050, May 2012.

Xu, X.; Mirzargar, M.; Entezari, A.;, Volumetric Data Modeling and Reduction in a Compressive Sensing Framework, IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV), 2012.

Ye, W.; Entezari, A.;, Design of Bivariate Sinc Wavelets, 19th IEEE International Conference on Image Processing (ICIP) , pp.2477-2480, 2012.

Ye, W.; Vemuri, B.; Entezari, A.;, An Over-Complete Dictionary Based Regularized Reconstruction of a Field of Ensemble Average Propagators, IEEE International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, pp. 940-943, 2012.

Mirzargar, M.; Entezari, A.;, Quasi Interpolation With Voronoi Splines, IEEE Transactions on Visualization and Computer Graphics (TVCG), Special Issue on IEEE VIS , vol.17, no.12, pp.1832-1841, Dec. 2011.

Meng, T.; Entezari, A.; Smith, B.; Möller, T.; Weiskopf, D.; Kirkpatrick, A. E.;, Visual Comparability of 3D Regular Sampling and Reconstruction, IEEE Transactions on Visualization and Computer Graphics (TVCG), vol.17, no.10, pp.1420-1432, Oct. 2011.

Ye, W.; Portnoy, S.; Entezari, A.; Vemuri, B.C.; Blackband, S.J.;, Box spline based 3D tomographic reconstruction of diffusion propagators from MRI data, IEEE International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, pp.397-400, 2011.

Portnoy, S.; Ye, W.; Entezari, A.; Blackband, S.J.; Vemuri, B.C.;, A Novel Interlaced Sampling Scheme for Multi-Shell q-space Magnetic Resonance Microscopy, International Society for Magnetic Resonance in Medicine (ISMRM), 2011.

Mirzargar, M.; Entezari, A.;, Voronoi Splines, IEEE Transactions on Signal Processing (TSP), vol.58, no.9, pp.4572-4582, Sept. 2010.

Finkbeiner, B.; Entezari, A.; Van De Ville, D.; Möller, T.;, Efficient volume rendering on the body centered cubic lattice using box splines, Computers & Graphics (CAG), vol.34, no.4, pp.409-423, Aug. 2010.

Entezari, A.; Unser, M.;, A box spline calculus for computed tomography, IEEE International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, pp.600-603, 2010.

Wenxing Ye; Entezari, A.; Vemuri, B.C.;, Tomographic reconstruction of diffusion propagators from DW-MRI using optimal sampling lattices, IEEE International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, pp.788-791, 2010.

Entezari, A.; Mirzargar, M.; Kalantari, L.;, Quasi-interpolation on the Body Centered Cubic Lattice, Computer Graphics Forum (CGF), vol.28, no.3, pp.1015-1022, Jun. 2009.

Alim, U.R.; Entezari, A.; Möller, T.;, The Lattice-Boltzmann Method on Optimal Sampling Lattices, IEEE Transactions on Visualization and Computer Graphics (TVCG) , vol.15, no.4, pp.630-641, July-Aug. 2009.

Entezari, A., Uniform Sampling and Reconstruction of Trivariate Functions, Proceedings of the Eighth International Conference on Sampling Theory and Applications (SampTA), 2009.

Entezari, A.; Dyer, R.; Möller, T.;, From Sphere Packing to the Theory of Optimal Lattice Sampling, Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration, Springer Berlin Heidelberg, pp. 227-255, 2009.

Kim, M.; Entezari, A.; Peters, J.;, Box Spline Reconstruction On The Face-Centered Cubic Lattice, IEEE Transactions on Visualization and Computer Graphics (TVCG), Special Issue on IEEE VIS , vol.14, no.6, pp.1523-1530, Nov.-Dec. 2008.

Entezari, A.; Van De Ville, D.; Möller, T.;, Practical Box Splines for Reconstruction on the Body Centered Cubic Lattice, IEEE Transactions on Visualization and Computer Graphics (TVCG) , vol.14, no.2, pp.313-328, March-April 2008.

Meng, T.; Smith, B.; Entezari, A.; Kirkpatrick, A. E.; Weiskopf, D.; Kalantari, L.; and Möller, T.;, On visual quality of optimal 3D sampling and reconstruction, Proceedings of Graphics Interface (GI '07), ACM, New York, NY, USA, pp. 265-272, 2007.

Entezari, A.; Meng, T.; Bergner, S.; Möller, T.;, A Granular Three Dimensional Multiresolution Transform, EuroVis06 Joint Eurographics - IEEE VGTC Symposium on Visualization, pp. 267-274, 2006.

Entezari, A.; Möller, T.;, Extensions of the Zwart-Powell Box Spline for Volumetric Data Reconstruction on the Cartesian Lattice, IEEE Transactions on Visualization and Computer Graphics (TVCG), Special Issue on IEEE VIS , vol.12, no.5, pp.1337-1344, Sept.-Oct. 2006.

Qiao, W.; Ebert, D.S.; Entezari, A.; Korkusinski, M.; Klimeck, G.;, VolQD: direct volume rendering of multi-million atom quantum dot simulations, IEEE Visualization, pp. 319- 326, 2005.

Entezari, A.; Möller, T.; Vaisey, J.;, Subsampling matrices for wavelet decompositions on body centered cubic lattices, IEEE Signal Processing Letters (SPL) , vol.11, no.9, pp. 733- 735, Sept. 2004.

Entezari, A.; Dyer, R.; Möller, T.;, Linear and cubic box splines for the body centered cubic lattice, IEEE Visualization, pp. 11- 18, 2004.

Widjaya, H.; Möller, T.; Entezari, A.;, Voxelization in common sampling lattices, Proceedings of 11th Pacific Conference on Computer Graphics and Applications, pp. 497- 501, 2003.

Entezari, A.; Scoggins, R.; Möller, T.; Machiraju, R.;, Shading for Fourier volume rendering, IEEE / ACM SIGGRAPH Symposium on Volume Visualization and Graphics, pp. 131- 138, 2002.

Dissertation
Entezari, A., Optimal Sampling Lattices And Trivariate Box Splines, PhD Dissertation, 2007.

Other Work
Entezari, A., A note on the relationship between B-splines and the Riemann's Zeta Function on Integers.

Entezari, A.; Morey, J.; Mueller, K.; Ostromoukhov, V.; Van De Ville, D.; Möller, T.;, Point Lattices in Computer Graphics and Visualization Tutorial at IEEE Visualization 2005.

Reproducible Research
Detailed experiments on the FCC lattice along with documentation and code are available. There you can also find instructions to incorporate these algorithms into POVray for rendering purposes.

For experimenting with optimal lattices and a comprehensive list of algorithms and their implementations, you may find vuVolume useful. This software is readily available on sourceforge.

Detailed experiments from our NSF project on uncertainty quantification and propagation in imaging and visualization are here.