Peer-Reviewed Papers

Shu, Z.; Entezari, A.; RBP-DIP: Residual back projection with deep image prior for ill-posed CT reconstruction, Neural Networks, to appear.

Xie, S.; Zhang, K.; Entezari, A.; An Evaluation of State-of-the-Art Projectors in the Presence of Noise and Nonlinearity in the Beer-Lambert Law, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), to appear.

Zhang, K.; Entezari, A.; Convolutional Forward Models for X-ray Computed Tomography, SIAM Journal on Imaging Sciences, vol. 16, Iss 4, 2023.

Shu, Z.; Entezari, A.; Sparse-view and limited-angle CT reconstruction with untrained networks and deep image prior, Computer Methods and Programs in Biomedicine, vol. 226, 2022.

Shu, Z.; Entezari, A.; Exact gram filtering and efficient backprojection for iterative CT reconstruction, Medical Physics, vol. 49, no. 5, 2022.

Athawale, T.; Ma, B.; Sakhaee, E.; Johnson, C.; Entezari, A.; Direct Volume Rendering with Nonparametric Models of Uncertainty, IEEE Transactions on Visualization and Computer Graphics (TVCG), Special Issue on IEEE VIS, vol. 27, no. 2, 2020.

Shu, Z.; Entezari, A.; Gram filtering and sinogram interpolation for pixel-basis in parallel-beam X-ray CT reconstruction, IEEE Symposium on Biomedical Imaging (ISBI), pp. 624 -- 628, 2020.

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.

Zhang, K.; Entezari, A.; In-Situ Data Reduction via Incoherent Sensing, ISC High Performance Computing, Springer, vol 11887, pp. 601-611, 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.