Welcome to the AP Lab!

Lab Culture
In the AP Lab, we believe that creating an atmosphere that is inclusive of socioeconomic status, sexual orientation, gender, religion, and ethnicity brings a variety of opinions to the table and in turn generates better, more creative science. More diverse voices ensure that the scientific and technological advancements we work on can profit all members of society.  We strive to ensure that the composition of the AP Lab and the collaborations we foster reflect the diversity that exists in our society. We aim to create a culture of equality that we believe makes our lab stronger, more innovative and better placed to solve problems that will benefit society as a whole and not specific individuals.

In the AP Lab we work on developing methods to enhance perception of computer generated images. Novel visualization techniques, display devices and interaction paradigms are explored to enrich the users experience in specific scenarios and workflows. Current research topics include:

  • Augmented reality visualization
  • Enhancing depth perception of computer generated images
  • Interaction techniques for better understanding of rendered images
  • Medical image processing and visualization
  • Auditory displays and data signification
  • Gaze-based interaction and eye-tracking
  • Study of push notifications on exercise motivation
  • Gamification for studying different visualization techniques
  • Federated and machine learning in medical imaging

The lab is headed by Dr. Kersten-Oertel who is a member of the PERFORM Centre and one of the editors of the ISCAS Newsletter and Blog.

Congrats to recent AP Lab MSc grad Sarah Amini (@GinaCodySchool, @Concordia) for her newly published paper on a 3D modelling and visualization pipeline to improve implant selection in breast reconstruction surgery: https://www.tandfonline.com/doi/full/10.1080/21681163.2021.2002196

Congrats to Jonatan Reyes, PhD @GinaCodySchool on his latest paper looking at data imputation and reconstruction of clinical scores from the Parkinson Progression Marker Initiative (PPMI) in a multi-center distributed learning environment. https://link.springer.com/chapter/10.1007/978-3-030-90874-4_16

Deadline November 1st.#AI #Art Grant increasing 🙏 to partners 🎉Selected papers/projects 📢 November 18th/19th #AIOASM222 #SDGs #aiethics @FrankPasquale @AJLUnited @aimeevanrobot
@ObservatoireIA @NSERC_RAI @AIESConf @MilindTambe_AI @vdignum @CAIS_USC

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