Ph.D. Theses

1. H. Gupta, "From Classical to Unsupervised-Deep-Learning Methods for Solving Inverse Problems in Imaging," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 7360 (2020), 248 p., September 29, 2020.

1. A. Badoual, "Subdivide and Conquer: Active Contours and Surfaces for Biomedical Image Segmentation," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 9326 (2019), 268 p., April 26, 2019.

1. V. Uhlmann, "Landmark Active Contours for Bioimage Analysis: A Tale of Points and Curves," EPFL best doctoral thesis award in electrical engineering, Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 7951 (2017), 263 p., December 1, 2017.
2. D. Schmitter, "Spline Shape Processing: Representation, Learning, and Modeling," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 8174 (2017), 241 p., November 27, 2017.
3. P. Pad, "Optimal Representations of Sparse Stochastic Processes with Applications in Image Processing," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 7631 (2017), 152 p., May 19, 2017.
4. J. Fageot, "Gaussian versus Sparse Stochastic Processes: Construction, Regularity, Compressibility," EPFL doctorate award, Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 7657 (2017), 231 p., April 24, 2017.

1. Z. Püspöki, "Local Geometric Transformations in Image Analysis," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 7014 (2016), 212 p., June 17, 2016.
2. E. Bostan, "Sparsity-Based Data Reconstruction Models for Biomedical Imaging," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 6974 (2016), 191 p., May 20, 2016.

1. M. Nilchian, "High Performance Reconstruction Framework for Straight Ray Tomography: From Micro to Nano Resolution Imaging," SSBE research award, Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 6621 (2015), 221 p., May 11, 2015.
2. U.S. Kamilov, "Sparsity-Driven Statistical Inference for Inverse Problems," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 6545 (2015), 198 p., March 27, 2015.

1. A. Bourquard, "Compressed Optical Imaging," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 5908 (2013), 157 p., December 23, 2013.
2. R.D. Gonzalo, "Segmentation and Tracking in High-Throughput Bioimaging," SSBE research award, Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 5657 (2013), 186 p., March 15, 2013.

1. M. Guerquin-Kern, "Wavelet-Based Reconstruction for Magnetic Resonance Imaging," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 5361 (2012), 137 p., July 6, 2012.
2. J.-C. Baritaux, "Sparsity-Inducing Reconstruction Methods for Fluorescence Diffuse Optical Tomography," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 5272 (2012), 158 p., March 9, 2012.

1. P.D. Tafti, "Self-Similar Vector Fields," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 5167 (2011), 234 p., November 8, 2011.
2. K.N. Chaudhury, "Optimally Localized Wavelets and Smoothing Kernels," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 4968 (2011), 239 p., February 16, 2011.

1. F. Luisier, "The SURE-LET Approach to Image Denoising," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 4566 (2010), 232 p., January 8, 2010.

1. F. Aguet, "Super-Resolution Fluorescence Microscopy Based on Physical Models," SSBE research award, Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 4418 (2009), 209 p., May 28, 2009.
2. C. Vonesch, "Fast and Automated Wavelet-Regularized Image Restoration in Fluorescence Microscopy," SSBE research award, Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 4306 (2009), 229 p., May 1, 2009.
3. S. Ramani, "Nonideal Sampling and Regularized Interpolation of Noisy Data," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 4305 (2009), 243 p., March 6, 2009.
4. I. Khalidov, "Operator-Like Wavelets with Application to Functional Magnetic Resonance Imaging," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 4257 (2009), 131 p., January 30, 2009.

1. M. Arigovindan, "Variational Reconstruction of Vector and Scalar Images from Non-Uniform Samples," EPFL doctorate award, Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 3329 (2005), 172 p., September 16, 2005.

1. M. Sühling, "Myocardial Motion and Deformation Analysis from Echocardiograms," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 3049 (2004), 181 p., July 16, 2004.
2. M. Liebling, "On Fresnelets, Interference Fringes, and Digital Holography," SSBE research award, Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 2977 (2004), 151 p., April 21, 2004.

1. S. Jonić, "Spline Projection-Based Volume-to-Image Registration," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 2901 (2003), 160 p., December 19, 2003.
2. M. Jacob, "Parametric Shape Processing in Biomedical Imaging," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 2857 (2003), 192 p., September 30, 2003.

1. M.P. Feilner, "Statistical Wavelet Analysis of Functional Images of the Brain," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 2671 (2002), 208 p., November 20, 2002.
2. A. Muñoz Barrutia, "Nondyadic and Nonlinear Multiresolution Image Approximations," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 2555 (2002), 175 p., April 12, 2002.

1. J. Kybic, "Elastic Image Registration Using Parametric Deformation Models," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 2439 (2001), 180 p., July 26, 2001.
2. S. Horbelt, "Splines and Wavelets for Image Warping and Projection," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 2397 (2001), 131 p., May 23, 2001.