MICCAI 2026 Satellite Workshop

Thoracic
Image Analysis
Workshop

Advancing cardiac & pulmonary imaging through interdisciplinary collaboration — uniting researchers, clinicians, and industry worldwide.

Conference29th International Conference on
Medical Image Computing and Computer Assisted Intervention
Date4 – 8 October 2026
VenueADNEC Centre, Abu Dhabi, United Arab Emirates
MICCAI 2026 Abu Dhabi
29thEdition
4–8 Oct 2026Dates
Abu Dhabi, UAELocation
ADNEC CentreVenue
About the Workshop

A Collaborative Forum for Thoracic Imaging

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.

Scope

Topics of Interest

Image acquisition & reconstruction
Segmentation & registration
Quantification & visualisation
AI-based disease assessment
Classical & deep learning approaches
Biophysical modelling
Computational anatomy
Population studies & validation
Lung cancer detection & staging
COPD & pulmonary fibrosis
Cardiovascular disease imaging
Functional CT (ventilation, photon-counting, dual-energy)
Hyperpolarized noble gas MRI
Oxygen-enhanced & cardiac MRI
Automated mucus plugging detection
Ventilation modelling
Biomechanical analysis
Pre-clinical imaging
Workshop Legacy

Building on a Successful History

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 ↗
TIA 2020 TIA 2018 PIA 2016 PIA 2013 PIA 2011 PIA 2010 PIA 2009 PIA 2008
Contact

For enquiries about the workshop, submissions, or general information:

tia@miccai2026.org

Workshop history

www.lungworkshop.org ↗
Timeline

Important Dates

All submission and review deadlines will be announced in alignment with MICCAI 2026 guidelines. Dates below will be updated once confirmed.

Submission
Paper Submission Deadline
To be announced
Notification
Acceptance Notification
To be announced
Camera-Ready
Final Paper Due
To be announced
Workshop
Workshop Date
4 – 8 Oct 2026

All deadlines are 23:59 AoE (Anywhere on Earth). Dates will be updated once confirmed by MICCAI 2026.

Submit Your Work

Paper Submission

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).

01
Prepare Manuscript
Follow MICCAI 2026 Springer LNCS formatting. Maximum 8 pages + references. Ensure double-blind anonymisation.
02
Anonymise Submission
All submissions are reviewed double-blind. Remove all author identifying information, institution names, and self-citations.
03
Submit via CMT
Upload your anonymised manuscript via the MICCAI 2026 CMT portal before the deadline (23:59 AoE).
04
Camera-Ready
Accepted authors prepare the final version addressing reviewer comments and upload to Springer OCS.
Schedule

Workshop Program

🗓

Program To Be Announced

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.

Organising Committee

Workshop Organisers

Our organising committee brings together experts from academia, clinical practice, and industry across three continents.

Academia
Dr. Adam Szmul
University College London, UK
Dr. Bilal Tahir
University of Sheffield, UK
Prof. Joseph M. Reinhardt
University of Iowa, USA
Dr. Sarah E. Gerard
University of Iowa, USA
Dr. Miranda Kirby
Toronto Metropolitan University, Canada
Dr. Colin Jacobs
Radboud UMC, Netherlands
Clinical
Prof. Marie-Pierre Revel
Hôpital Cochin, AP-HP, Paris, France
Prof. Guillaume Chassagnon
Hôpital Cochin, AP-HP, Paris, France
Dr. Vijay Ram Papineni
Sheikh Shakhbout Medical City, UAE
Industry
Dr. Chuck Hatt
4D Medical, Australia
Prof. H.A.W.M. (Harm) Tiddens
Thirona, Netherlands
Associated Challenge

CT-PFT AI Challenge

Prediction of Pulmonary Function Tests Based on a Single Chest CT Scan

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.

CTImaging Modality
PFTPrediction Target
ESRIn Collaboration With
2026Challenge Year