The Qim Center

Anders is the Head of the QIM Center and the Head of the Section for Visual Computing at DTU Compute since 2015. He finished his PhD at DTU in 2009 and has been at DTU since. His research focuses on a variety of things related to image analysis, where his main focus has been on quantification of 3D volumetric data.

Jon Sporring is a full professor at DIKU, University of Copenhagen, where he is the head of the Image Analysis, Computational Modelling, and Geometry Section. He earned his Ph.D. in 1998, including research at IBM Research Center, and has held academic and industry roles, including postdoc at Foundation for Research and Technology - Hellas, visiting professor at McGill University, and co-founder of DigiCorpus ApS.

Stephen is a Professor at the Dept. of Solid Mechanics at the Faculty of Engineering (LTH) at Lund University. He is also in charge of the 4D-Imaging Lab x-ray tomography facility since 2011, after moving from Laboratoire 3R in Grenoble, France.

Felipe is a Research Software Specialist at DTU Compute. He has a background in computer science and has been working on developing and maintaining software tools for scientific research, including the Qim Platform and the qim3d Python library.

Jakob is the Scientific Director of the QIM Center and Associate Professor at DTU Compute. His background is in mathematics, algorithms and software for tomographic reconstruction, especially X-ray and neutron CT. He is one of the founders of the CIL (Core Imaging Library) and CUQIpy python imaging libraries.

Akira is a Master's student in Autonomous Systems at DTU Electro. She has been working on deep learning methods for 3D scene understanding.

András is a Master's student in IT and Cognition at the University of Copenhagen. He has been working on the Qim Volume Explorer and the Qim data repository most recently.

Christian is a Master's student in Mathematical Modelling and Computation at DTU. He enjoys working with volumetric data, especially from medical imaging. His bachelor's thesis was on reconstructing brain endocasts (as meshes) of wolves from µCT-scans.

David is a Master's student in Mathematical Modelling and Computation at DTU Compute. He has been working on CT reconstruction and 3D image analysis.

Christian is a Research Assistant at the Section for Statistics and Data Analysis at DTU Compute. His work lies in CT image reconstruction, image analysis and pipelines.

Emanuel works as a Researcher at the Department of Experimental Medical Science at the Faculty of Medicine, Lund University and as a LINXS Co-Director responsible for the focus area of Life Science. He also works as a Lund University Node Coordinator for InfraVis – a Swedish National Research Infrastructure for Data Visualization, and as Coordinator for CIPA – a cross faculty infrastructure for image processing and analysis at Lund University. His work includes everything from experimental planning, image acquisition, reconstruction, processing, analysis, and visualization of X-ray and Neutron tomography datasets. Emanuel is also very dedicated to finding new pedagogical ways of teaching tomography and image reconstruction.

Endri is a postdoc in the Department of Solid Mechanics at the Faculty of Engineering (LTH), Lund University. His work focuses on the characterization of materials through in-situ loading, 3D image analysis and Digital Volume Correlation. Part of his mission also involves supporting the use of tomography at MAXIV.

As a postdoc in the Department of Solid Mechanics at LTH in Lund University, Eoin’s research focuses on the segmentation of objects of interest from 3-D XCT volumes. Such objects include paper fibres, foam bubbles, and porous materials. Eoin’s previous experience includes postdoctoral research at Met Éireann, Ireland’s meteorological service, co-founding a start-up, and a PhD in synthetic data and deep learning from the University of Limerick in Ireland.

Mathematical Image Analysis, including variational and partial differential equations methods, with applications to image inpainting (still and video), motion estimation in image sequences, segmentation, video format conversion. Differential and Riemannian geometric methods for shape analysis applied to anatomical structures extracted from X-ray and other medical imaging modalities.

Miguel is a postdoc at the Section for Visual Computing at DTU Compute. He finished his PhD in 2022 in A.I. Virtanen Institute at the University of Eastern Finland (Kuopio). His research is at the intersection between deep learning, image segmentation, and topology. More recently, his focus has widen to AIS, irregular time-series and remote sensing data.

Martin is a PhD student at the Section for Visual Computing at DTU Compute. His research topic is in tomographic reconstruction techniques for X-ray diffraction.

Martin is an Associate Professor at DTU Compute, Section for Visual Computing. He works on 3D image analysis, developing methods for segmentation and registration, with a strong interest in effective 3D visualization

Rasmus is a PhD student at the Section for Visual Computing at DTU Compute. His research area touches on CT-reconstruction, deep learning, and image analysis.

In her PhD project Sophia has investigated methods for doing 3D super-resolution as well as created multiple scientific super-resolution datasets.

Thorbjørn is a beamline scientist at the DanMAX beamline at the MAX IV synchrotron. In his own research, Thorbjørn studies biomineralization in a wide variety of systems. Furthermore, Thorbjørn develops pipelines for analyzing multi TiB datasets for both imaging and diffraction.

Vedrana develops methods for image analysis and geometry processing, focusing on geometric models for volumetric data analysis. Her work includes volumetric and tomographic segmentation, and she has developed tools with applications in materials science, industrial inspection, and biomedicine.

William is a postdoc in the Visual Computing section at DTU Compute. He finished his PhD at DTU in 2024 in hyperspectral imaging. His current research focuses on deep learning and image segmentation of 3D volumetric data.

Julia is a scientific programmer and bioimage analyst working at the image analysis core facility (IACF) in Copenhagen, which is part of the Danish BioImaging Infrastructure (DBI-Infra). At IACF, she supports researchers and life scientists in analyzing their bioimage data through tailored software solutions, workshops, and consultations. In collaboration with the IMAGE section of DIKU and the QIM Center, Julia works on making bioimage processing tools available to life scientists in a user-friendly way. She holds a master’s degree in computer science from the University of Freiburg, specializing on unsupervised deep learning methods for image and video analysis.