NEWS

May 2019
Shayan Azisnejad won a ICASSP 2019 Best Student Paper Award for his work on Deep Spline Networks with Control of Lipschitz Regularity.

April 2019
Thanh-an Pham won the ISBI 2019 Best Paper Award (runner-up) for his work on Closed-Form Expression of the Fourier Ring Correction for Single Molecule Localization Microscopy

October 2018
Julien Fageot is the recipient of the EPFL Doctorate Award 2018 for his thesis entitled "Gaussian versus Sparse Stochastic Processes: Construction, Regularity, Compressibility ". Congratulations for this truly exceptional achievement !

June 2018
Virginie Uhlmann received EPFL's Best Doctoral Thesis Award in Electrical Engineering 2018 for her thesis entitled "Landmark Active Contours for Bioimage Analysis : A Tale of Points and Curves". Congratulations to Virginie for her excellent work!

May 2018
The Startup Mirrakoi, an offspring of BIG, achieved the 3rd stage of Venture Kick and won the CHF 130'000 award. Bravo for being in the top of Swiss innovation !!!
More info ...

March 2018
Michael Unser is the recipient of the 2018 Technical Achievement Award "for fundamental contributions to the theory of sparse stochastic processes and sparsity-based signal processing" from the European Association for Signal and Image Processing.
More info ...

March 2018
Virginie Uhlmann has been appointed as a research group leader at EMBL-EBI (European Bioinformatics Institute) at Cambridge, UK. Congrats!
Interview of Virginie

December 2017
Stamatis, Aurélien and Michael are the happy recipients of the 2017 SPS Best Paper Award from the IEEE Signal Processing Society for their paper Stamatis Lefkimmiatis, Aurélien Bourquard, and Michael Unser “Hessian-Based Norm Regularization for Image Restoration With Biomedical Applications” IEEE Transactions on Image Processing, Volume 21, No. 3, March 2012.

June 2017
Ulugbek Kamilov (BIG alumni) accepted an Assistant Professorship (with tenure track) at Washington University in St. Louis. Good luck and welcome to academia !!!

EVENTS

Twenty Years of Biomedical Imaging and Splines
Invited speakers: Michael Unser, Stephane Mallat, Christophe Rabut, Akram Aldroubi, Thierry Blu, Erik Meijering, Costanza Conti, and Dimitri Van De Ville

Program: EPFL, Friday March 23, 2018

Carl de Boor Celebration

Newsletter of the Institute for Mathematical Sciences, National University of Singapore, Jan-June 2018, issue 31, p 5.

Workshop on Spline Approximation and its Applications on Carl de Boor’s 80th Birthday

In the late 60s, Carl de Boor embarked on an ambitious program to develop a mathematical foundation for spline functions that would be friendly to computation. The cornerstone of this development was his work on Schoenberg’s B-splines – splines with minimal support, and it became clear that spline functions can provide efficient representations of functions, curves, surfaces and digital data. Today, spline functions are widely used in areas such as automotive design, computer aided geometric design, imaging science and data science