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.
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 deadlines are aligned with MICCAI 2026 guidelines. Camera-ready submissions are now due by 21 August 2026.
All deadlines are 23:59 GMT.
We invite submissions covering all aspects of thoracic image analysis. Papers must follow the MICCAI 2026 submission guidelines and be submitted via OpenReview.
We accept full papers (8 main pages + up to 2 pages of references) and short papers (4 pages including 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).
Please follow the steps below to prepare and upload your camera-ready paper by 21 August 2026 (23:59 GMT).
TIA_XX_LTP.pdf, where XX is your OpenReview paper ID.
TIA_XX_source.docx.TIA_XX_source.zip containing your .tex manuscript files, all figure files (.ps/.eps/.jpg/.pdf/.png), your BibTeX file (.bib) if applicable, and any additional style files or fonts not available on CTAN. You may omit files not essential for compiling the final PDF.TIA_XX.zip.
TIA_XX.zip through the Revision option on your paper's OpenReview page:
Prof. Reinhardt is one of the founders of the Pulmonary Image Analysis (PIA) workshop — originally known as the Lung Workshop — which was later renamed Thoracic Image Analysis (TIA) to foster more inclusive collaboration across cardiac and pulmonary imaging communities. He has remained active in organising and running the workshop throughout its history and was instrumental in supporting its reinstatement this year.
He holds the Roy J. Carver Chair in Biomedical Engineering at the Roy J. Carver Department of Biomedical Engineering. In addition to directing the Reinhardt Biomedical Imaging Lab, he is a member of the Iowa Institute for Biomedical Imaging and the Iowa Initiative for Artificial Intelligence.
He received his BS from Carnegie Mellon University, MS from Northeastern University, and PhD from Penn State University, all in Electrical Engineering. Before entering academia, he worked in industry as a radar systems engineer.
His research focuses on medical image processing with a special emphasis on pulmonary imaging, supported by the National Institutes of Health, National Science Foundation, the Roy J. Carver Charitable Trust, and the Whitaker Foundation.
Together with colleagues from the University of Iowa, Prof. Reinhardt co-founded VIDA Diagnostics, an Iowa-based medical imaging software company specialising in computer-aided diagnosis and image-guided interventions for lung disease.
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.