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Journal Articles

1. T. Kim, R. Zhou, M. Mir, S. D. Babacan*, P. S. Carney, L. Goddard, and G. Popescu, "White light diffraction tomography of unlabeled live cells," to appear in Nature Photonics, 2014.
2. S. D. Babacan, S. Nakajima, and M. N. Do, "Bayesian Group-Sparse Modeling and Variational Inference," to appear in IEEE Transactions on Signal Processing, 2014.
3. M. S. Grigola, C. L. Dyck, S. D. Babacan, D. N. Joaquin, K. J. Hsia, "Myoblast alignment on 2D wavy patterns: Dependence on feature characteristics and cell-cell interaction," to appear in Biotechnology and Bioengineering, 2014.
4. Z. Chen, S. D. Babacan, R. Molina, and A. K. Katsaggelos, "Variational Bayesian Methods For Multimedia Problems," to appear in IEEE Transaction on Multimedia, 2014.
5. M. Tallon, J. Mateos, S. D. Babacan, R. Molina, and A.K. Katsaggelos, "Space-variant blur deconvolution and denoising in the dual exposure problem," Information Fusion, vol. 14, no. 4, 396-409, October 2013.
6. F. Lam, S. D. Babacan, J. P. Haldar, M. W. Weiner, N. Schuff, and Z.-P. Liang, "Denoising diffusion-weighted magnitude MR images using rank and edge constraints," Magnetic Resonance in Medicine, Apr. 2013.
7. S. Villena, M. Vega, S. D. Babacan, R. Molina, and A. Katsaggelos, "Bayesian Combination of Sparse and non Sparse Priors in Image Super Resolution," Digital Signal Processing, vol. 23, no. 2, 530-541, 2013.
8. S. Nakajima, M. Sugiyama, S. D. Babacan, "Variational Bayesian Sparse Additive Matrix Factorization," Machine Learning, vol. 92, pp. 319-347, (Special Issue of Selected Papers of ACML 2012), 2013.
9. S. Nakajima, M. Sugiyama, S. D. Babacan, R. Tomioka, "Global Analytic Solution of Fully-observed Variational Bayesian Matrix Factorization," Journal of Machine Learning Research, vol. 14, pp. 1-37, 2013.
10. M. Luessi, S. D. Babacan, R. Molina, and A.K. Katsaggelos, "Bayesian Simultaneous Sparse Approximation with Smooth Signals," IEEE Transactions on Signal Processing, vol. 61, no. 22, pp. 5617-5729, Nov. 2013.
11. M. Mir*, S. D. Babacan*, M. Bednarz, M. N. Do, I. Golding, and G. Popescu, "Visualizing Escherichia coli Sub-Cellular Structure Using Three-dimensional Sparse Deconvolution Spatial Light Interference Tomography," PloS ONE, 7(6): e39816, 2012. Paper link
    *Equal contribution
12. S. D. Babacan, R. Ansorge, M. Luessi, P. R. Mataran, R. Molina, and A.K. Katsaggelos, "Compressive Light Field Sensing," to appear in IEEE Transactions on Image Processing, 2012.
13. S. D. Babacan, M. Luessi, R. Molina, and A.K. Katsaggelos, "Sparse Bayesian Methods for Low-Rank Matrix Estimation," IEEE Transactions on Signal Processing, vol. 60, issue 8, pp. 3964-3977, Aug. 2012.
    PDF | Code
14. S. D. Babacan, Z. Wang, M. N. Do, and G. Popescu, "Cell imaging beyond the diffraction limit using sparse deconvolution spatial light interference microscopy," Biomedical Optics Express, vol. 2 no. 7, pp. 1815-1827, 2011. Paper Link
15. S. D. Babacan, R. Molina, and A.K. Katsaggelos, "Variational Bayesian Super Resolution," IEEE Transactions on Image Processing, vol. 20, no. 4, April 2011. PDF | Code
16. M. Luessi, S. D. Babacan, R. Molina, J.R. Booth, and A.K. Katsaggelos, "Bayesian symmetrical EEG/fMRI fusion with spatially adaptive priors," NeuroImage, vol. 55, issue 1, pp. 113-132, March 2011. Paper Link
17. S. D. Babacan, J. Wang, R. Molina, and A.K. Katsaggelos, "Bayesian Blind Deconvolution from Differently Exposed Image Pairs," IEEE Transactions on Image Processing, vol. 19, issue 11, 2874-2888, Nov. 2010. PDF
18. S. D. Babacan, R. Molina, and A.K. Katsaggelos, "Bayesian Compressive Sensing using Laplace Priors," IEEE Transactions on Image Processing, vol. 19, issue 1, 53-64, Jan. 2010. PDF | Code
19. S. D. Babacan, R. Molina, and A.K. Katsaggelos, "Variational Bayesian Blind Deconvolution Using A Total Variation Prior," IEEE Transactions on Image Processing, vol. 18, no 1, pp. 12-26, Jan. 2009. PDF
20. S. D. Babacan, R. Molina, and A.K. Katsaggelos, "Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation," IEEE Transactions on Image Processing, vol. 17, no 23, pp. 326-339, Mar. 2008. PDF
21. H. Wang, S. D. Babacan, and K.Sayood, "Lossless Hyperspectral Image Compression Using Context-Based Conditional Average," IEEE Transactions on Geoscience and Remote Sensing, vol. 45, no 12, pp. 4187-4193, Dec. 2007. PDF

Conference Proceedings

1. S. Nakajima, A. Takeda, S. D. Babacan, M. Sugiyama, and I. Takeuchi, "Global Solver and Its Efficient Approximation for Variational Bayesian Low-Rank Subspace Clustering," in Neural Information Processing Systems (NIPS 2013), Lake Tahoe, USA, December 5-10, 2013.
2. S. D. Babacan, S. Nakajima, and M. N. Do, "Probabilistic Low-Rank Subspace Clustering," in Neural Information Processing Systems (NIPS 2012), Lake Tahoe, USA, December 2012. PDF
3. S. Nakajima, R. Tomioka, M. Sugiyama, S. D. Babacan, "Perfect Dimensionality Recovery by Variational Bayesian PCA," in Neural Information Processing Systems (NIPS 2012), Lake Tahoe, USA, December 2012.
4. S. Nakajima, M. Sugiyama, S. D. Babacan, "Sparse Additive Matrix Factorization for Robust PCA," in Asian Conference on Machine Learning (ACML 2012), Singapore, November 2012. PDF
5. S. D. Babacan, R. Molina, M. N. Do, A.K. Katsaggelos, "Bayesian Blind Deconvolution with General Sparse Image Priors," in European Conference on Computer Vision (ECCV), Firenze, Italy, October 2012. Project Page
6. S. D. Babacan, F. Lam, X. Peng, M. N. Do, Z.-P. Liang, "Interventional MRI with Sparse Sampling Using Union-of-Subspaces," in IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Barcelona, Spain, May 2012.
7. A. G. Christodoulou, S. D. Babacan, Z.-P. Liang, "Accelarating Cardiovascular Imaging By Exploiting Regional Low-Rank Structure Via Group Sparsity," in IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Barcelona, Spain, May 2012.
8. F. Lam, S. D. Babacan, J. P. Haldar, N. Schuff, Z.-P. Liang, "Denoising Diffusion-Weighted MR Image Sequences using Low Rank and Edge Constraints," in IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Barcelona, Spain, May 2012.
9. A. G. Christodoulou, S. D. Babacan, Z.-P. Liang, "Dynamic Imaging Using Sparse Sampling with Rank and Group Sparsity Constraints," in International Society for Magnetic Resonance in Medicine 19th Scientific Meeting, Melbourne, Australia, May 2012.
10. F. Lam, S. D. Babacan, J. P. Haldar, N. Schuff, Z.-P. Liang, "Denoising Diffusion-Weighted MR Images Using Low Rank Structure and Edge Constraints," in International Society for Magnetic Resonance in Medicine 19th Scientific Meeting, Melbourne, Australia, May 2012.
11. D. B. Kubacki, H. Q. Buia, S. D. Babacan, M. N. Do, "Registration and integration of multiple depth images using signed distance function," in SPIE Computational Imaging X, San Francisco, USA, January 2012.
12. S. Nakajima, M. Sugiyama, S. D. Babacan, "Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent," in Neural Information Processing Systems (NIPS 2011), Granada, Spain, December 2011. PDF
13. S. D. Babacan, M. Luessi, L. Spinoulas, A. K. Katsaggelos, N. Gopalsami, T. W. Elmer, R. Ahern, S. Liao, A. Raptis, "Compressive Passive Millimeter-Wave Imaging," in IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, September 2011. PDF
14. S. D. Babacan, X. Peng, X.-P. Wang, M. N. Do, Z.-P. Liang, "Reference-Guided Sparsifying Transform Design for Compressive Sensing MRI," in Engineering in Medicine and Biology Conference (EMBC), Boston, July, 2011. PDF
15. P. Ruiz, S. D. Babacan, L. Gao, Z. Li, R. Molina, and A. K. Katsaggelos, "Video Retrieval Using Sparse Bayesian Reconstruction," in IEEE International Conference on Multimedia & Expo (ICME 2011), Barcelona, Spain, July 2011.
16. S. Nakajima, M. Sugiyama, S. D. Babacan, "On Bayesian PCA: Automatic Dimensionality Selection and Analytic Solution," in International Conference on Machine Learning (ICML 2011), Bellevue, Washington, June 2011. PDF
17. S. D. Babacan, M. Luessi, R. Molina, and A.K. Katsaggelos, "Low-Rank Matrix Completion by Variational Sparse Bayesian Learning," in International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), Prague, Czech Republic, May 2011.
18. X. Peng, H. Du, F. Liam, S. D. Babacan, Z-P Liang, "Reference-Driven MR Image Reconstruction with Sparsity and Support Constraints," in IEEE International Symposium on Biomedical Imaging (ISBI 2011), Chicago, March 2011.
19. B. Amizic, S. D. Babacan, R. Molina, and A.K. Katsaggelos, "Sparse Bayesian Blind Image Deconvolution with Parameter Estimation," in European Signal Processing Conference (EUSIPCO), 2010. PDF
20. M. Tallon, J. Mateos, S. D. Babacan, R. Molina, and A.K. Katsaggelos, "Combining observation models in dual exposure problems using the Kullback-Leibler Divergence," in European Signal Processing Conference (EUSIPCO), 2010. PDF
21. S. D. Babacan, R. Molina, and A.K. Katsaggelos, "Sparse Bayesian Image Restoration," in IEEE International Conference on Image Processing (ICIP 2010), Hong Kong, September 2010. PDF
22. S. Villen, M. Vega, S. D. Babacan, R. Molina, and A.K. Katsaggelos, "Using the Kullback-Leibler Divergence to Combine Image Priors in Super-Resolution Image Reconstruction," IEEE International Conference on Image Processing (ICIP 2010), Hong Kong, September 2010.
23. M. Luessi, S. D. Babacan, J. Booth, R. Molina, and A.K. Katsaggelos, "Symmetrical EEG/FMRI Fusion with Spatially Adaptive Priors Using Variational Distribution Approximation," in International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010), Dallas, TX, 2010. PDF
24. B. Amizic, S. D. Babacan, R. Molina, and A.K. Katsaggelos, "Fast Total Variation Image Restoration with Parameter Estimation Using Bayesian Inference," in International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010), Dallas, TX, 2010. PDF
25. S. D. Babacan, R. Ansorge, M. Luessi, R. Molina, and A.K. Katsaggelos, "Compressive Sensing of Light Fields," in IEEE International Conference on Image Processing (ICIP'09), Cairo, Egypt, Nov 2009.
26. S. D. Babacan, J. Wang, R. Molina, and A.K. Katsaggelos, "Bayesian Blind Deconvolution from Differently Exposed Image Pairs," in IEEE International Conference on Image Processing (ICIP'09), Cairo, Egypt, Nov 2009. PDF
27. L. Mancera, S. D. Babacan, R. Molina, and A.K. Katsaggelos, "Image restoration by mixture modelling of an overcomplete linear representation," in IEEE International Conference on Image Processing (ICIP'09), Cairo, Egypt, Nov 2009. PDF
28. S. Belekos, N. Galatsanos, S. D. Babacan, and A.K. Katsaggelos, "Maximum a posteriori Super-Resolution of compressed video using a new multichannel image prior," in IEEE International Conference on Image Processing (ICIP'09), Cairo, Egypt, Nov 2009. PDF
29. E. Vera, L. Mancera, S. D. Babacan, R. Molina, and A.K. Katsaggelos, "Bayesian Compressive Sensing Of Wavelet Coefficients Using Multiscale Laplacian Priors," in IEEE Workshop on Statistical Signal Processing (SSP09), Cardiff, Wales, UK, August 2009. PDF
30. S. D. Babacan, L. Mancera, R. Molina, A. K. Katsaggelos. "Bayesian Compressive Sensing Using Non-Convex Priors," in European Signal Processing Conference (EUSIPCO'09), Glasgow, Scotland, August 2009. PDF
31. S. D. Babacan, R. Molina, and A. K. Katsaggelos, "Fast Bayesian Compressive Sensing using Laplace Priors," in IEEE International Conf. on Acoustics, Speech, and Signal Processing (ICASSP'09), Taipei, Taiwan, April 2009. PDF
32. S. D. Babacan, R. Molina, and A. K. Katsaggelos, "Total Variation Super Resolution Using A Variational Approach," in IEEE International Conference on Image Processing (ICIP'08), San Diego, USA, Oct. 2008. PDF
33. S. D. Babacan, X. Yin, A. C. Larson, and A. K. Katsaggelos, "Combination of MR Surface Coil Images Using Weighted Constrained Least Squares," in IEEE International Conference on Image Processing (ICIP'08), San Diego, USA, Oct. 2008. PDF
34. T. Georgiev, C. Intwala, S. D. Babacan, A. Lumsdaine, "Unified Frequency Domain Analysis of Lightfield Cameras," in Proceedings of European Conference on Computer Vision (ECCV), Marseille, France, Oct. 2008. PDF
35. S. D. Babacan, R. Molina, and A. K. Katsaggelos, "Parameter Estimation in Total Variation Blind Deconvolution," in European Signal Processing Conference (EUSIPCO'08), Lausanne, Switzerland, Aug. 2008. PDF
36. S. D. Babacan, R. Molina, A. K. Katsaggelos, "Generalized Gaussian Markov Random Field Image Restoration Using Variational Distribution Approximation," in IEEE International Conf. on Acoustics, Speech, and Signal Processing (ICASSP'08), Las Vegas, USA, March 2008. PDF
37. S. D. Babacan, R. Molina, A. K. Katsaggelos, "Total Variation Blind Deconvolution Using A Variational Approach To Parameter, Image, and Blur Estimation," in European Signal Processing Conference (EUSIPCO'07), Poznan, Poland, Sept. 2007. PDF
38. S. D. Babacan, R. Molina, A. K. Katsaggelos, "Total Variation Image Restoration and Parameter Estimation Using Variational Distribution Approximation," in International Conference on Image Processing (ICIP'07), -IBM Student Paper Award for ICIP 2007- San Antonio, USA, Sept. 2007. PDF
39. S. D. Babacan, T. N. Pappas, "Spatiotemporal Algorithm for Background Subtraction," in International Conference on Acoustics, Speech, and Signal Processing (ICASSP'07), Hawaii, USA, April 2007. PDF
40. S. D. Babacan, T. N. Pappas, "Spatiotemporal Algorithm for Joint Video Segmentation and Foreground Detection," in European Signal Processing Conference (EUSIPCO'06), Florence, Italy, Sept. 2006. PDF
41. H. Wang, S. D. Babacan, Khalid Sayood, "Lossless Hyperspectral Image Compression Using Context-Based Conditional Averages," in Data Compression Conference (DCC'05), pp. 418-426, 2005. PDF
42. S. D. Babacan, K. Sayood, "Predictive Image Compression Using Conditional Averages," in Data Compression Conference (DCC'04), 2004: 524. PDF

Book Chapters

1. S. D. Babacan, R. Molina, A. K. Katsaggelos, "Variational Bayesian Super Resolution Reconstruction" in Super-Resolution Imaging, Peyman Milanfar, Ed., Taylor&Francis/CRC Press, 2010.
2. A. K. Katsaggelos, S. D. Babacan, C.-J. Tsai, "Iterative Image Restoration" in The Essential Guide to Image Processing, Alan Bovik, Ed., Elsevier, 2009.
3. T. E. Bishop, S. D. Babacan, B. Amizic, A.K. Katsaggelos, T. Chan, R. Molina, "Blind image deconvolution: problem formulation and existing approaches" in Blind Image Deconvolution: Theory and Applications, P. Campisi and K. Egiazarian, Eds., CRC press, 2007. PDF