QIM - Key Persons
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. (Google Scholar Profile)
Anders has worked with 3D image analysis since 2010. First in a biological setting, and has since broadened his scope to geological and industrial materials. His research focuses are multivariate statistics, 3D-segmentation, and quantification - using a variety of techniques. He is currently employed as an assistant professor at DTU Compute.
Behnaz has a Ph.D. in mathematical statistics and two master's degrees in mathematics and modeling, and mathematical statistics. During her master's theses, she worked with image processing methods both theoretically and applied. She has been a PostDoc at DTU compute since 2017, working with change detection methods and software development for satellite images. Her research interest is in statistical methods and statistical properties of images in space and time. To read more about Behnaz, click here
Emanuel works as a Method Expert in X-ray and Neutron Imaging at the Department of Solid Mechanics at the Faculty of Engineering (LTH) at Lund University. More in detail he works with tomography and image processing within the ForMAX portal - a platform at MAX IV, which will offer education and access to advanced X-ray methods to the forest industry.
His work includes everything from experimental planning, image acquisition, reconstruction, processing, analysis, and visualization. With a technical and industry-oriented research focus, he investigates the internal composition of samples from the Forest Science, Food Science, Materials Science, Preclinical Science, and Life Science field, including medical devices. To read more about his research click here
Felipe is a software developer who creates user-friendly tools and applications for QIM's computational resources. He holds a Masters degree from Universidade Estadual Paulista (UNESP, Assis - Brazil) and a PhD from École Normale Supérieure (ENS, Paris - France), specializing in 3D+time imaging and data visualization. Prior to joining QIM, he worked as a Data Scientist at ImVitro, a Paris-based healthcare startup that focuses on developing deeplearning models for image analysis.
Job Titles:
- Associate Professor
- Associate Professor at the Department of Computer Science
François is associate professor at the Department of Computer Science, University of Copenhagen. He received a PhD degree in Algebraic Geometry from the University of Nice - Sophia Antipolis and a PhD degree in Image Analysis for the IT University in Copenhagen in 2004. His primary research interests are Mathematics of Image processing, especially related to Geometry and Inverse Problems.
With a background in biomedical engineering and a PhD in image analysis, Martins primary interest is the development of practical methods and pipelines for efficient 3D data analysis of biological samples. Proficient with a wide array of tools from the image analysis toolbox, he is geared to enable researchers and collaborators to pry out the quantitative information hidden within their data.
Jakob is a student of computer science at the Technical University of Denmark (DTU). His main areas of interest are in medical image analysis and developing machine learning methods that can be applied to imagery. He is currently working as a student assistant for the QIM project where his work is focused on applying and developing analysis methods.
Jakob received his PhD in Applied Mathematics from DTU in 2013 on the topic of sparsity-regularised reconstruction algorithms for computed tomography with noisy or incomplete data. After a postdoc at DTU, he moved to The University of Manchester, UK in 2015 where he developed reconstruction algorithms and software in the Manchester X-ray Imaging Facility. In 2018 he secured a Manchester Presidential Fellowship (tenure track) to work on hyperspectral tomography. In April 2020 he re-joined DTU as a Researcher affiliated with the Villum Investigator Project on Computational Uncertainty Quantification for Inverse Problems (CUQI). Google Scholar Profile
Job Titles:
- Professor, Deputy Head of the QIM Center
Jon Sporring received his Master and Ph.D. degree from the Department of Computer Science, University of Copenhagen, Denmark. In 2007-2012 and again since 2015 he is Vice-Chair for Research at Department of Computer Science, University of Copenhagen. His primary research field is Computer Science and particularly mathematical and medical image processing, computer graphics, information theory, and pattern recognition. To read more about his research, click here.
Job Titles:
- Kjerrumgaard Research Assistant
Kasper holds a bachelor's degree in computer science and is pursuing a master's degree, both at the University of Copenhagen.
He is interested in machine learning with focus on segmentation of biological images. He is currently working as a research assistant at the IMAGE section at DIKU as well as being a part of the QIM project.
Martin is an associate professor at the Department of Medical Radiation Physics at Lund University. With a background in the physics of synchrotron based x-ray imaging he has specialised in imaging of biomedical samples and biopsies. Martin is also in charge of an experimental micro-CT laboratory, developing methods for inhouse phase-contrast and dark-field x-ray imaging.
Job Titles:
- Senior Scientist
- Researcher and Project Manager at the MAX IV Laboratory
Rajmund is a researcher and project manager at the MAX IV Laboratory (Lund University) and an honorary professor at the Technical University of Denmark. He is a specialist in X-ray physics with emphasis on the enhancement of X-ray imaging for biology and material science applications: development and applications of coherent imaging with improved temporal and spatial resolution. To read more about his research, click here.
The QIM Center is being established as a hub for quantitative image analysis associated with various facilities and research environments including MAX IV, ESS, Danish BioImaging, Euro-Bioimaging, hospitals, and the 3D Imaging Center at DTU. As Manager Rebecca's role is to coordinate the center activities, manage the daily operations, and organize the collaborations with the above-mentioned partners.
Job Titles:
- Rting Postdoctoral Researcher
Silas is a Post Doc researcher affiliated with the Center for Quantification of Imaging Data from Max IV (QIM).
Silas received a Ph.D degree in medical image analysis in 2019 and a Master's degree in computer sicence in 2016, both from the Department of Computer Science, University of Copenhagen. His main area of research is within biomedical image analysis with an emphasis on the practical application of machine learning in settings where labeled data are scarce, expensive and noisy. This includes weakly supervised machine learning, as well as image annotation strategies such as crowdsourcing, visual similarity and low-effort annotations.
Job Titles:
- Associate Professor
- Associate Professor at the Dept
Stephen is an associate 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. To read more about his research, click here.
Vedrana Andersen Dahl received a Ph.D. degree in geometry processing in 2011. Her research interests revolve around geometric models for analysis of volumetric data. This includes volumetric segmentation, tomographic segmentation and methods based on deformable meshes. She developed image analysis tools with application in material science, industrial inspection and biomedicine. To read more about her research, click here.
William holds a bachelor's degree in mathematics and computer science from Westfield State University and a master's degree in computer science from the University of Copenhagen. He is interested in machine learning and working with medical imaging data in developing software and algorithms that help to advance research and solve problems in the medical fields. Currently, he is working as a PhD student in the Visual Computing section at DTU Compute