This year, we celebrate the 40th anniversary of the Swedish Symposium on Image Analysis (SSBA). The symposium is co-located with the 6th Swedish Symposium on Deep Learning (SSDL). The event takes place at the Kolmårdens Vildmarkshotell, with its scenic location in the Kolmården forest next to the bay, Bråviken, which extends from the Baltic sea into the Norrköping city.

The SSBA symposium is the premier Swedish event where researchers, industrial professionals and students gather to learn about the recent developments in the areas of image processing, computer vision, pattern recognition and related fields. SSBA 2023 features keynote speakers, and oral presentations and posters of submitted papers.

SSDL is an important Swedish forum for leading research groups in industry and academia to meet and discuss the latest trends and developments in deep learning and related areas. SSDL 2023 will feature invited talks by leading researchers in deep learning as well as oral and poster presentations of submitted papers and abstracts.


Silver sponsors:


Keynote speakers

Josien Pluim
  • Josien Pluim
  • Professor, Eindhoven University of Technology

  • Josien Pluim is professor of Medical Image Analysis at Eindhoven University of Technology, with a joint appointment at the University Medical Center Utrecht, for one day a week. She is head of the Medical Image Analysis group. Her research focus is on image analysis (e.g. registration, segmentation, detection, machine/deep learning), both methodology development and clinical applications. The latter is targeted in particular at oncology. Most of the research is performed in close cooperation with clinical partners and/or industry.

    Josien Pluim is or was associate editor of five journals (IEEE TMI, IEEE TBME, Medical Physics, Journal of Medical Imaging and Medical Image Analysis). She served as a member of the Executive Board of the MICCAI Society, as conference chair of SPIE Medical Imaging Image Processing 2006-2009, chair of WBIR 2006 and programme co-chair of MICCAI 2010. She is a MICCAI Society and IEEE Fellow.

Sanna Ringquist
  • Sanna Ringquist
  • Line Manager, Maxar Technologies

  • Sanna Ringqvist is a software engineer and the manager for the 3D reconstruction team at Maxar Sweden. She has a Master's degree in Applied Physics and Electrical Engineering from Linköping University with a specialization in Signal- and Image processing. Maxar is building the Globe in 3D, using satellite imagery and advanced technology to create an accurate representation of Earth for simulation, training, navigation etc. Sanna has been at Maxar since 2013 and has been working with semantic segmentation and 3D reconstruction using both conventional image processing and machine learning methods.

Gustav Eje Henter
  • Gustav Eje Henter
  • Assistant Professor, KTH Royal Institute of Technology

  • Gustav Eje Henter is a WASP assistant professor in machine learning at the Division of Speech, Music and Hearing at KTH Royal Institute of Technology, Stockholm. His main research interests are probabilistic modelling and deep learning for data-generation tasks, most prominently the synthesis of speech and motion/animation. He has an MSc and a PhD from KTH, followed by post-docs in speech synthesis at the Centre for Speech Technology Research at the University of Edinburgh, UK, and in Prof. Junichi Yamagishi’s lab at the National Institute of Informatics, Tokyo, Japan, before returning to KTH in 2018.

Amy Loutfi
  • Amy Loutfi
  • Professor, Örebro University

  • Amy Loutfi is a Professor in Information Technology at Örebro University and leads the research group - AASS Machine Perception and Interaction Lab. Amy is also active in the programme management group for Wallenberg Autonomous Sensor Systems Programme in the AI branch. Amy Loutfi received her Ph.D. in Computer Science in 2006 with a research topic in machine perception. Specifically, she researched about how gas sensors could be integrated onto robotic platforms and how these robots can interact with humans in order to solve a range of problems that required sensing and perception. She has since broadened her research interests to include general research directions within machine perception, where AI methods like Machine learning are used for the interpretation of sensor data. She also has broadened her research in the area of Human Robot Interaction where she has studied HRI in various platforms that include fully autonomous robots, but also teleoperated robots. She has a long experience working with industry and the public sector on research projects dealing with AI, robotics and human-robot interaction.


Preliminary schedule. More information will be added closer to the symposia dates.

Monday, March 13
9 - lunchPhD student dayEvent in Norrköping, with joint travel to Vildmarkshotellet
Registration and lunch
EveningWelcome reception
Tuesday, March 14
Wednesday, March 15

PhD student day

As a part of SSBA/SSDL 2023, there will be a PhD student activity before the symposia start. This will take place in Norrköping, before lunch on March 13, followed by a joint travel to Vildmarkshotellet for a PhD student lunch. This is the perfect oppurtunity for PhD students to network and get to know peers within the community.

For more information and registration, please contact Behnaz Kavoosighafi.

Important dates

Paper/abstract submission opens January 10, 2023
Paper submission deadline February 1, 2023
Early-bird registration deadline January 11, 2023
Late registration deadline February 20, 2023
Conference March 13-15, 2023
PhD student day March 13, 2023 (9-lunch)


We invite researchers from academy and industry to contribute to our joint symposium.

The symposium is meant to be a snapshot of interesting activity in Sweden, and thus we welcome previously published material, and material that you plan to publish elsewhere. Contributions to SSDL and SSBA will not be made openly available online.

We plan to open for submissions and registrations in January 2023.

SSBA submissions

SSBA is open for (the usual) short papers on any topic in image analysis, computer vision or pattern recognition. Contributions will primarily be presented orally.

A template with paper formatting is available here.

SSDL submissions

SSDL is open for extended abstracts on any topic of interest within AI, machine learning or deep learning. The contributions will primarily be presented as posters. A number of the submitted contributions will be chosen for oral presentation alongside the keynote talks at the symposium.


Due to the location, accomodation will be included in the regular conference fee, and there will be a cap on the number of attendants. Therefore late registrations may be difficult to accomodate, and there will be no registration on site. You must register in advance.

More information and registration link will come soon.


SSBA/SSDL 2023 will be held at Kolmårdens Vildmarkshotell:

618 92 Kolmården

Public transportation

Östgötatrafiken bus 420 goes from Norrköping central station to Vildmarkshotellet. If you travel by train, you can go to Norrköping and use bus 420 (approximately 40 min). Some trains (Mälartåget) also stop at the Kolmården train station, and from there it is about 15 min bus ride with the Östgötatrafiken bus 420. For information on bus schedule, please see Östgötatrafiken.

Kolmårdens Vildmarkshotell

The Kolmården "wilderness hotel" (direct translation from Swedish) is located right next to the Kolmården Zoo, in the Kolmården forest next to the Bråviken bay. The SSBA/SSDL symposia will be using both the hotel's conference facilities, the restaurant, and accomodation.


Our sponsorship packages offer a unique opportunity to:

  1. Network with the leading research groups in Sweden
  2. Gain visibility before, during, and after the conference
  3. Meet and recruit undergraduate students, graduated or soon to graduate PhD students

Choose one of our sponsorship options:

A. Exhibitor, SEK 20,000

  1. Demonstration and exhibition space at your disposal
  2. Free registration for 1 company representative (incl. full board)

B. Silver sponsorship, SEK 15,000

  1. Your logo on the somposium website
  2. Public acknowledgement of your support during the conference
  3. Your company is mentioned with a logo in the conference program sheet

C. Gold sponsorship, SEK 30,000

  1. Your logo on the somposium website
  2. Public acknowledgement of your support during the conference
  3. Your company is mentioned with a logo in the conference program sheet
  4. Demonstration and exhibition space at your disposal
  5. Free registration for 1 company representative (incl. full board)
  6. You will have the opportunity to contribute material to our goodie bags
  7. Guaranteed time for presentation during the industry session

For more information and booking, please contact Mårten Wadenbäck.


General Chairs

  • Amanda Berg
  • Department of Electrical Engineering
  • Linköping University
  • amanda.berg@liu.se

Finance Chair

Program Chair

  • Anders Eklund
  • Department of Biomedical Engineering/Department of Computer and Information Science
  • Linköping University
  • anders.eklund@liu.se

Local Arrangements Chair

  • Jonas Unger
  • Department of Science and Technology
  • Linköping University
  • jonas.unger@liu.se

Publicity Chair

PhD Student Day Chair