Description

Leader of the group Computational Imaging: Tristan van Leeuwen.

 

Our research group is developing the next generation of 3D imaging – enabling scientists to look further into objects of all kinds. Based on mathematics, algorithms and numerical solution techniques, our approach is interdisciplinary, combining aspects of mathematics, computer science and physics. We pride ourselves on the versatility of our solutions, and our algorithms can be applied to a wide range of imaging in science, medicine and industry. In Computational Imaging, it’s our goal to constantly push the boundaries of research. By combining advanced image acquisition, parameter estimation, and discrete tomography algorithms for example, we are able to develop workflows for 3D electron microscopy at atomic resolution.

More information on the Computational Imaging group at CWI and its FleX-ray Lab.

 

 

Vacancies

No vacancies currently.

News

Making the invisible visible

Making the invisible visible

CT machines are becoming the standard tool for looking inside objects of all kinds in research and industry. The FleX-ray Lab at CWI is making this type of imaging more accessible to math and computer science researchers. It's also drawing interest from the art, history, and the social sciences community.

Making the invisible visible - Read More…

Making the invisible visible

Making the invisible visible

CT machines are becoming the standard tool for looking inside objects of all kinds in research and industry. The FleX-ray Lab at CWI is making this type of imaging more accessible to math and computer science researchers. It's also drawing interest from the art, history, and the social sciences community.

Making the invisible visible - Read More…

Current events

SECOND ANNUAL MEETING FOR THE DUTCH INVERSE PROBLEMS COMMUNITY

  • 2022-11-10T09:30:00+01:00
  • 2022-11-11T18:00:00+01:00
November 10 Thursday

Start: 2022-11-10 09:30:00+01:00 End: 2022-11-11 18:00:00+01:00

Conference center de Werelt, Lunteren

The second annual meeting of the Dutch Inverse Problems Community will take place on 10-11 November 2022 in conference center de Werelt, Lunteren. A summary of last year’s event can be read here.

 

Registration

The registration is now open. Registration fees are expected to be around EUR 225 for 2-day attendance (including lunch, diner, and hotel), and EUR 50 for 1-day attendance for EUR 50 (including lunch). You will receive additional confirmation about the exact fees and payment details in september.

Preliminary program

Thursday November 10

Masterclasses on High Performance Computing and Inverse Problem Theory (preliminary abstracts are included below). The masterclasses will take in place in parallel and aim to give an in-depth overview and hands-on experience on the topic.

 

Friday November 11

Scientific talks, highlighting recent developments in Inverse Problems from a mathematical and practical point of view. The talks are by invitation, and selected to give a balanced perspective on theory and applications of inverse problems from both junior and senior researchers.

 

 

Members

Associated Members

Publications

Software

Current projects with external funding

  • Mathematics and Algorithms for 3D Imaging of Dynamic Processes ()
  • Non-destructive 3D spectral imaging: applications in the poultry industry ()
  • Cambridge RG99590 AIO cancer imaging optimisation (Cancer Imaging Optimisation)
  • the Center for Optimal, Real-Time Machine Studies of the Explosive Universe (CORTEX)
  • CT for Art: from Images to Patterns (IMPACT4Art)
  • Translation-Driven Development of Deep Learning for Simultaneous Tomographic Image Reconstruction and Segmentation (None)
  • Deep learning and compressed sensing for ultrasonic nondestructive testin (PPS Applus RTD)
  • Team Science Award
  • Universal Three-dimensiOnal Passport for process Individualization in Agriculture (UTOPIA)
  • Mathematics and Algorithms for 3D Imaging of Dynamic Processes / OIO positie Graas (Wiskundeclusters)
  • Enabling X-ray CT based Industry 4.0 process chains by training Next Generation research experts (xCTing)

Related partners

  • ABN AMRO Bank
  • Fraunhofer Gesellschaft
  • IBM
  • Katholieke Universiteit Nijmegen
  • Naturalis
  • Netherlands eScience Center
  • NIKHEF
  • Rijksmuseum Amsterdam
  • Universiteit Wageningen
  • University of Cambridge
  • Nederland Instituut voor Radio Astronomie
  • GREEFA
  • Katholieke Universiteit Leuven
  • Rheinisch-Westfaelische Technische Hochschule Aachen
  • SURFsara B.V.
  • Universiteit Utrecht
  • Universiteit van Amsterdam