Advancing cardiac & pulmonary imaging through interdisciplinary collaboration — uniting researchers, clinicians, and industry worldwide.
Thoracic malignancies, respiratory diseases, and cardiovascular diseases are among the leading causes of death worldwide, all of which can be assessed using imaging techniques such as X-ray, CT, PET, and MRI.
We invite submissions covering all aspects of thoracic image analysis for cardiac and pulmonary applications — including image acquisition, reconstruction, segmentation, registration, quantification, visualisation, validation, population studies, biophysical modelling, computational anatomy, classical and AI-based approaches, pre-clinical imaging, and other emerging methods.
We strongly encourage submissions of both technically novel methods and translational/clinical applications, giving them equal weight. Well-powered, independent validation studies of AI methods are particularly welcome, even where technical novelty is limited. Live software demonstrations are also much appreciated.
With clinical and industrial involvement in organising and running the workshop, we steer research towards more applied, clinically relevant directions, bringing it closer to bedside implementation and real-world impact. We also leverage MICCAI 2026 being held in the UAE to broaden community perspectives and gain unique regional insights.
This workshop builds on and continues the long history of the highly successful Thoracic Image Analysis (TIA) and Pulmonary Image Analysis (PIA) workshops dating back to 2008.
This workshop builds on and continues the long history of highly successful Thoracic Image Analysis (TIA) and Pulmonary Image Analysis (PIA) workshops at MICCAI, maximising attendance and fostering deeper collaboration between challenge participants and workshop attendees.
www.lungworkshop.org ↗Workshop history
www.lungworkshop.org ↗All submission and review deadlines will be announced in alignment with MICCAI 2026 guidelines. Dates below will be updated once confirmed.
All deadlines are 23:59 AoE (Anywhere on Earth). Dates will be updated once confirmed by MICCAI 2026.
We invite submissions covering all aspects of thoracic image analysis. Papers must follow the MICCAI 2026 submission guidelines and be submitted via the official MICCAI submission platform (CMT).
We accept full papers (8 pages + references) in Springer LNCS format. We encourage submissions of both technically novel methods and translational/clinical applications with equal weight.
Well-powered, independent validation studies of AI methods are particularly welcome, even where technical novelty is limited. Live software demonstrations are also much appreciated.
All accepted papers will be published in the MICCAI 2026 Satellite Events proceedings (Springer Lecture Notes in Computer Science).
The detailed workshop schedule — invited talks, oral presentations, poster sessions, and software demonstrations — will be published here once confirmed. Please check back closer to October 2026.
Our organising committee brings together experts from academia, clinical practice, and industry across three continents.
In collaboration with the European Society of Radiology (ESR), we are running the CT-PFT AI Challenge alongside this workshop — advancing automated prediction of pulmonary function from routine chest CT imaging.
Challenge details, data access, and submission portal will be announced in due course.