About the Workshop
The goal of this workshop is to bring together researchers in pulmonary image analysis and discuss recent advances in this rapidly developing field. The breadth of modalities and the quantity and quality of image data available to study the pulmonary system has increased enormously in the last decade. Recent developments include 4D CT to image lung ventilation and perfusion, hyperpolarized MRI, micro CT for studying the respiratory system in small animals and the increased use of imaging in radiotherapy planning and treatment, to name just a few. We invite papers that deal with all aspects of image analysis of these data, including segmentation, registration, quantification, modeling of the image acquisition process, visualization, validation, statistical modeling, biophysical lung modeling (computational anatomy), deep learning and novel applications.

Reinhard R. Beichel
Dept. of Electrical and Computer Engineering, The University of Iowa, Iowa City, USA
Dept. of Internal Medicine, The University of Iowa, Iowa City, USA

Keyvan Farahani
Division of Cancer Treatment and Diagnosis, National Cancer Institute, NIH, USA

Colin Jacobs
Department of Radiology and Nuclear Medicine, Radboud University Medical Center, The Netherlands

Sven Kabus
Philips Research Laboratories, Hamburg, Germany

Atilla P. Kiraly
Siemens Corporate Research, Princeton, USA

Jan Martin Kuhnigk
Fraunhofer MEVIS, Bremen, Germany

Jamie R. McClelland
Center for Medical Image Computing at University College London, London, United Kingdom

Kensaku Mori
Information and Communications, Nagoya University, Japan

Jens Petersen
Department of Computer Science (DIKU), University of Copenhagen, Denmark

Simon Rit
UniversiteĢ de Lyon - CREATIS, Lyon, France