Computational Bioimaging

The group focuses on research in computational imaging and analysis of biomedical images.

The technique of computational imaging and biomedical image analysis lies at the heart of the group’s imaging research. Research areas of this group include developing algorithms for image deconvolution and super-resolution in optical microscopy, three-dimensional tomography reconstruction from projections, and, more generally, combining unusual sensing devices and approaches with computational methods to produce images ideally-suited for the observation and quantification of complex and live biological systems.

Group News

Idiap is looking for its next director

institute — Jan 14, 2022

Idiap Research Institute and the School of Engineering at EPFL invite applications for the directorship of Idiap. The successful candidate will also hold a faculty position as full professor at EPFL School of Engineering.

A new software to create holograms is now freely available

research — last modified Apr 19, 2021

During their master’s thesis at Idiap, Rémi Clerc developed a new software to process photos and generate 3D pictures with less data. The aim was to regroup several codes that can generate an image dataset, train and test transformed pictures and make those models run on a microcomputer. The result is now freely available on Github.

Microscopy: At the heart of images thanks to algorithms

research — Mar 26, 2021

Always observe what’s smaller while maintaining the highest image quality possible. This requires ever more powerful microscopes, but computational methods can also do it. This is the subject of the thesis that Olivia Mariani successfully defended.

Idiaper receives Best Student Paper Award at IEEE International Symposium on Biomedical Imaging

research — Apr 24, 2019

Christian Jaques, a researcher in the Idiap’s Computational Bioimaging Group and PhD student in electrical engineering at EPFL was awarded the Best Student Paper Award at the latest IEEE International Symposium on Biomedical Imaging.

One of our students gets the Best Student Paper Award at the 25th IEEE ICIP

research — Oct 24, 2018

Adrian Shajkofci, a PhD student in the Computational Bioimaging Group, co-advised by Michael Liebling and François Fleuret received a "Best Student Paper Award" at the 25th IEEE International Conference on Image Processing (ICIP), on October 9th 2018. This event is the world's largest and most comprehensive technical conference focused on image and video processing and computer vision. The 2018 theme was "Imaging beyond imagination".

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Group Job Openings

Our group is regularly posting job openings ranging from internships to researcher positions. To check the opportunities currently available or to submit a speculative applications use the link below.Our group is regularly posting job openings ranging from internships to researcher positions. To check the opportunities currently available or to submit a speculative applications use the link below.