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.
Organizers
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
Contact
lungworkshop2016@iibi.uiowa.edu
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.
Organizers
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
Contact
lungworkshop2016@iibi.uiowa.edu