Image of Me

Jon Sporring

Professor, Ph.D.

Address:	University of Copenhagen
	Department of Computer Science
	Universitetsparken 1
	2100 København Ø
Office:	3.2.20
Email:	sporring@di.ku.dk
Phone:	(+45) 2448 2894
Skype:	jon_sporring
Github:	github.com/sporring
ORCID:	0000-0003-1261-6702
ResearcherID:	L-4499-2016
Semantic Scholar:	1773176
DBLP:	33/5273
Google Scholar:	COP1HUwAAAAJ

Short CV

Jon Sporring received his Master and Ph.D. degree from the Department of Computer Science (DIKU), University of Copenhagen, Denmark in 1995 and 1998, respectively. Part of his Ph.D. program was carried out at IBM Research Center, Almaden, California, USA. Following his Ph.D, he worked as a visiting researcher at the Computer Vision and Robotics Lab at Foundation for Research & Technology - Hellas, Greece, and as an assistant research professor at 3D-Lab, School of Dentistry, University of Copenhagen. During 2003-2018 he was an associate professor at DIKU. From 2008-2009 he was a part-time Senior Researcher at Nordic Bioscience a/s. In the period 2012-13, he is a visiting professor at the School of Computer Science, McGill University, Montreal, Canada. Jon Sporring also co-founded DigiCorpus Aps in 2012 and served as Chief research officer of the company from 2012-16 developing computer vision-based systems for automatic feedback for physiotherapeutic rehabilitation. In 2007-2012, 2015-2019, and 2021 he was Deputy head for Research at DIKU. Since 2018, he is a full professor at DIKU, and since 2019 he is the Deputy head of the Center for Quantifying Images for MAXIV (QIM).

Research Interests

My primary research field is Computer Science (Datalogi) and particularly mathematical and biomedical image processing (Billedbehandling) and pattern recognition (Mønstergenkendelse) and artificial intelligence (Kunstig intelligens, AI). I'm involved in Danish Bioimaging and Quantifying images from MAXIV (and other synchrotron resources) Presently I'm involved in the following projects:

Statistics of subcellular geometric structures: We reconstruct and study the 3d dimensional structure of the synaptic area as seen through electron microscopes
Dynamic tomographic reconstruction: We work on fast algorithms for reconstructing time sequences from projection sequense with the application for medicine and biology.

Events

I am involved in the following events:

Invited speaker at Make a Difference Conference 2024, 12 November 2024, Denmark.
Backing group for the Scandinavian Conference on Image Analysis (SCIA) 2025, 23-25 June 2025, Iceland.
Co-organizing Ph.D. School on Topological data analysis in stochastic geometry and image processing, 4-8 August 2025, Denmark
Co-organizing Ph.D. School on Multi-modal learning, 11-15 August 2025, Denmark
Previous events

Teaching

I teach computer science at bachelor, master, and phd level. Presently I'm involved in the following courses:

Deep learning (Danish, Computer Science, Bachelor course, description)
Programmering og problemløsning (Danish, Computer Science, Bachelor course, description)
Lineær algebra i datalogi (Danish, Computer Science, Bachelor course, description)
Cross Institutional Bioimaging (English, Biology, Ph.d. course, link, Material: github/sporring/ImageProcessingCrashCourse/Python)
Previous courses

For students seeking bachelor and master theses and other project ideas, I post some of my ideas on the Image section's Trello board

Ph.D. students:

Chenhao Wang, 2021-
Mette Bjerg Lindhøj, 2018-2021
Hans Jacob Teglbjærg Stephensen, 2018-2021
Leise Borg, 2014-2018
Mahdieh Khanmohammadi, 2012-2015
Alessandro Crimi, 2008-2011
Pechin Chien Pau Lo, 2007-2010
Lauge Sørensen, 2007-2010
Vladlena Gorbunova, 2007-2010
Lars Schjøth, 2006-2009
Kerawit Somchaipeng, 2002-2005
Niels Holm Olsen, 2000-2003

Projects etc.

I am involved in the following projects, groups, and associations:

Previous projects etc.

Selected Publications

Please click here for a full list. I also maintain a Google scholar profile.

A semi-automatic method for extracting mitochondrial cristae characteristics from 3D focused ion beam scanning electron microscopy data Wang, C., Østergaard, L., Hasselholt, S. & Sporring, Jon, 2024, In: Communications Biology . 7, 1, 377.

An algebra for local histogramss, Sporring, Jon & Darkner, Sune, 2022, In: Frontiers in Computer Science. 4, p. 1-9.

Measuring Shape Relations Using r-Parallel Sets, Stephensen, Hans Jacob Teglbjærg, Svane, A. M., Villanueva, Carlos Benitez, Goldman, Steven Alan & Sporring, Jon, 2021, In: Journal of Mathematical Imaging and Vision. 63, p. 1069–1083 15 p.

Restoring drifted electron microscope volumes using synaptic vesicles at sub-pixel accuracy Stephensen, Hans Jacob Teglbjærg, Darkner, Sune & Sporring, Jon, 21 Feb 2020, In : Communications Biology. 3

Collocation for diffeomorphic deformations in medical image registration Darkner, S., Pai, A. S. U., Liptrot, M. G. & Sporring, J. 2018 In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 40, 7, p. 1570-1583

Estimation of sample spacing in stochastic processes Rønn-Nielsen, A., Sporring, J. & Jensen, E. B. V. 2017 In : Image Analysis and Stereology. 36, 1, p. 43-49 7 p.

Maurer-cartan forms for fields on surfaces: application to heart fiber geometry Piuze, E., Sporring, J. & Siddiqi, K. 2015 In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 37, 12, p. 2492-2504 13 p.

Photon differential splatting for rendering caustics Frisvad, J. R., Schjøth, L., Erleben, K. & Sporring, J. 2014 In : Computer Graphics Forum. 33, 6, p. 252-263 12 p.

Locally orderless registration Darkner, S. & Sporring, J. 2013 In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 35, 6, p. 1437-1450 14 p.

Physics-based Animation Erleben, K., Sporring, J., Henriksen, K. & Dohlmann, H. 2005 Hingham, Mass.: Charles River Media. 817 p.

Information measures in scale-spaces Sporring, J. & Weickert, J. 1999 In : IEEE Transactions on Information Theory. 45, 3, p. 1051-1058