About the Workshop
The Second International Workshop on Thoracic Image Analysis aims to bring together medical image analysis researchers in the area of thoracic imaging to discuss recent advances in this rapidly developing field. COVID-19 infection has brought a lot of attention to lung imaging, and the role of CT imaging in the diagnostic workflow of COVID-19 suspects is an important research topic. In addition to that, cardiovascular disease, lung cancer, and chronic obstructive pulmonary disease, three diseases all visible on thoracic imaging, are amongst the top causes of death worldwide. Many imaging modalities are currently available to study the pulmonary and cardiac system, including X-ray, CT, PET, ultrasound, and MRI. We invite papers that deal with all aspects of image analysis of thoracic data, including but not limited to: image acquisition and reconstruction, segmentation, registration, quantification, visualization, validation, population-based modeling, biophysical modeling (computational anatomy), deep learning, image analysis in small animals, outcome-based research and novel infectious disease applications (e.g., COVID-19, TB, …). We particularly welcome novel work focused around the need for new methodologies for predisposition, diagnosis, staging, and resolution assessment of COVID-19 infections as an emerging disease as well as good-sized independent validation studies on the use of deep learning models in the area of thoracic imaging, despite having possibly little technical novelty. Live demonstrations of software are also much appreciated.
Please note that at this time, no decision has been made whether this MICCAI workshop will be in form of a face-to-face or virtual meeting.
Reinhard R. Beichel
Dept. of Electrical and Computer Engineering, The University of Iowa, Iowa City, USA
Sarah E. Gerard
Harvard Medical School, Boston, MA, USA
Dept. of Radiology and Nuclear Medicine, Radboud University Medical Center, The Netherlands
Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
Information and Communications, Nagoya University, Japan
Dept. of Computer Science (DIKU), University of Copenhagen, Denmark
Raul San José Estépar
Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
Philips Research Laboratories Hamburg, Germany