The Third Swedish Symposium on Deep Learning (SSDL) takes place in Norrköping June 10-11 (lunch to lunch). The 2019 SSDL edition is arranged by the Swedish Society for Automated Image Analysis (SSBA). The symposium is co-located with the Scandinavian Conference on Image Analysis (SCIA19) which follows directly after the symposium.

The development and impact of deep learning in areas such as image processing and natural language processing have been huge for the past decades. SSDL is a forum for leading research groups in academia and industry to discuss the latest trends and developments in deep learning. SSDL19 in Norrköping will feature invited talks by leading researchers in deep learning applied to image processing and natural language processing, and oral and poster presentations of submitted abstracts.




Keynote speakers

Emily Denton
  • Emily Denton
  • Google

  • Emily Denton is a Research Scientist in Google's Research and Machine Intelligence group where she works on developing tools and techniques to promote fair, inclusive, respectful and ethical AI. She is particularly interested in detecting and mitigating harmful bias in computer vision systems and understanding the social impact of machine learning technology. Prior to joining Google, Emily received her PhD in machine learning from the Courant Institute of Mathematical Sciences at New York University in 2018. Her research focused on unsupervised learning and generative modeling of images and videos. Emily has been awarded a Google Fellowship in Machine Learning and enjoyed support by the Natural Sciences and Engineering Research Council of Canada (NSERC).

Jussi Karlgren
  • Jussi Karlgren
  • KTH Royal Institute of Technology, Sweden
  • Gavagai, Stockholm, Sweden

  • Jussi Karlgren is an adjunct professor of language technology at KTH and a founding partner of the text analysis company Gavagai where he spends most of his time. He holds a PhD in computational linguistics, a Ph Lic in Computer and Systems Sciences, both from Stockholm University. He also holds the title of docent (adjoint professor) of language technology at Helsinki University. He has worked with research and development in information access-related language technology at IBM Nordic laboratories (1987-88), at the Swedish Institute of Computer Science (SICS) (1990-2010), at Xerox PARC (1991), at New York University (1995-96), at Yahoo! Research in Barcelona (2007-08), and at the department of linguistics at Stanford University (2017-18).

    His research interests are modelling genre and stylistics, studying the negotiation of meaning in human communication, and on evaluating and validating information systems. He has previously worked on projects on natural language interfaces to databases, speech-based route guidance systems, plan inference, human-computer dialogue in virtual realities, on automatic speech-to-speech translation, on modelling and raising awareness of energy usage in homes and workplaces, and on citizen observatories.

Geert Litjens
  • Geert Litjens
  • Radboud University Medical Center, Nijmegen, The Netherlands

  • Geert Litjens studied Biomedical Engineering at Eindhoven University of Technology. Subsequently, he completed his PhD in the Diagnostic Image Analysis Group. He worked with Henkjan Huisman on Computer-aided detection of prostate cancer. He spent 2015 as a postdoctoral researcher at the National Center for Tumor Diseases in Heidelberg, Germany on an Alexander von Humboldt Society Postdoctoral Fellowship. In 2016 he was awarded a Bas Mulder Award by the Dutch Cancer Society with which he returned to the Diagnostic Image Analysis Group. In 2017 he was awarded a Veni grant by the Netherlands Organisation for Scientific Research. He is currently an Assistant Professor in Computational Pathology at the Department of Pathology.

Wiro Niessen
  • Wiro Niessen
  • Erasmus MC, Rotterdam, The Netherlands

  • Wiro Niessen is full professor in Biomedical Image Analysis at Erasmus MC, Rotterdam where he leads the Biomedical Imaging Group Rotterdam and at Delft University of Technology.

    His interest is in the development, validation and implementation of machine learning and quantitative image analysis methods in clinical practice and biomedical research, in linking imaging and genetics data, radio(geno)mics, and image guided interventions. Focus areas are improved diagnosis and prognosis of neurodegenerative and cardiovascular disease, and treatment guidance in oncology, by developing and using advanced medical image analysis and machine learning methods. He has published over 300 journal articles in these areas, and has a H-index of 75 (Google Scholar).

    He is fellow and president of the Medical Image Computing and Computer Assisted Interventions Society (MICCAI), director of the Biomedical Image Analysis Platform of the European Institute of Biomedical Imaging Research (EIBIR), member of the International Society of Strategic Studies in Radiology (IS3R), board member of the Technological Branch of the Netherlands Organization of Scientific Research (NWO-TTW) and Chief Digital Officer of Health RI, a national research infrastructure for prevention, personalized treatment, and health.

    In 2012 he founded the spin-off company Quantib, which is an AI company in medical imaging that develops methods to automatically extract relevant information from medical imaging data. He is currently the Scientific Lead at Quantib. In 2015 he received the Simon Stevin Master award, the largest prize in the Netherlands in the field of Applied Sciences. In 2017 he was elected to the Royal Netherlands Academy of Arts and Sciences.

Josephine Sullivan
  • Josephine Sullivan
  • KTH Royal Institute of Technology, Stockholm, Sweden

  • Josephine is a lecturer in computer vision within the School of Computer Science and Communication (CSC) at KTH, the Royal Institute of Technology, Stockholm, Sweden. She belongs to the CVAP group and on a even more fine-grained classification I'm part of the Computer Vision Group within CVAP. Her research efforts are devoted to the field of computer vision. In the past she has worked on the problems of visual tracking, human/object pose recognition and multi-target tracking. However, for the last couple of years she has been focusing on deep learning for solving computer vision problems.

    Josepine obtained her D.Phil from Oxford University, Dept. Of Engineering Sciences in 2001 under the supervision of Prof. Andrew Blake. Prior to that she did a BA in Mathematics at Trinity College Dublin, Ireland. After her D.Phil studies she made her way to Sweden to work with Stefan Carlsson at KTH for a post-doc.


SSDL invites extended abstracts of 2-4 pages presenting ongoing or past research in deep learning to be considered for presentation at SSDL19. The abstracts will be made available on the public symposium webpage.

Submission information and guidelines will be made available here closer to the paper submission opening.


Registration for SSDL'19 is done through the SCIA'19 registration. Registration for only SSDL'19, only SCIA'19, or both SSDL'19 and SCIA'19 is possible. See the SCIA'19 webpage.


See the SCIA'19 webpage for information about the venue.

Important dates

Early-bird registration deadline April 3, 2019
Abstract submission deadline May 10, 2019
Notification of acceptance May 17, 2019
Symposium June 10-11, 2019


The sponsorship packages cover both SCIA and SSDL. Our sponsorship packages for SCIA and SSDL offer a unique opportunity to:

  1. Network with the leading research groups in the Nordic countries
  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. Silver sponsorship, SEK 15,000

  1. Your logo on the conference website
  2. Acknowledgement of your support during the conference

B. Gold sponsorship, SEK 30,000

  1. All Silver sponsorship & Exhibitor benefits
  2. Distribution of short materials (brochure, bag items) that you provide in advance

C. Exhibitor, SEK 15,000

  1. Demonstration & exhibition space for demonstrations and promotional material
  2. One free ticket to the conference included
  3. We kindly ask that all exhibitors appear with a booth in the exhibition area and notify the conference organizers which days you plan to attend

For more information and booking, please contact Daniel Jönsson.