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2. A Plug-and-Play Image Registration Network

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   Deformable image registration (DIR) is an active research topic in biomedical imaging. There is a growing interest in developing DIR methods based on deep learning (DL). A traditional DL approach to DIR is based on training a convolutional neural network (CNN) to estimate the registration field between two input images. While conceptually simple, this approach comes with a limitation that it exclusively relies on a pre-trained CNN without explicitly enforcing fidelity between the registered image and the reference. We present plug-and-play image registration network (PIRATE) as a new DIR method that addresses this issue by integrating an explicit data-fidelity penalty and a CNN prior. PIRATE pre-trains a CNN denoiser on the registration field and "plugs" it into an iterative method as a regularizer. We additionally present PIRATE+ that fine-tunes the CNN prior in PIRATE using deep equilibrium models (DEQ). PIRATE+ interprets the fixed-point iteration of PIRATE as a network with effectively infinite layers and then trains the resulting network end-to-end, enabling it to learn more task-specific information and boosting its performance. Our numerical results on OASIS and CANDI datasets show that our methods achieve state-of-the-art performance on DIR. 

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3. Future Cars as a Space for Work & Play

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   The objective of this CHI course is to provide CHI atten- dees with an introduction and overview of the rapidly evolv- ing field of automotive user interfaces (AutomotiveUI). The course will focus on UI aspects in the transition towards automated driving. In particular, we will also discuss the op- portunities of cars as a new space for non-driving-related activities, such as work, relaxation, and play. For newcom- ers and experts of other HCI fields, we will present the spe- cial properties of this field of HCI and provide an overview of new opportunities, but also general design and evalua- tion aspects of novel automotive user interfaces. 

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4. Accessing the Inaccessible: Redefining Play as a Spectrum

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5. Distributed Creativity in Play

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   Webb, Andrew M.; Spiel, Katta; Toups Dugas, Phoebe O.; Hamilton, Bill; Lupfer, Nic; Graeber, Ross A.; Mackay, Wendy E. (June 2019, Proceedings of the 2019 on Creativity and Cognition (C&C '19))

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