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
Date1 October 2026
VenueStrasbourg Convention Center, France
Adenauer Room
MICCAI 2026 Strasbourg
29thEdition
27 Sept – 1 Oct 2026Dates
Strasbourg, FranceLocation
Convention CenterVenue
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.

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 ↗
Contact

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

a.szmul@ucl.ac.uk

Workshop history

www.lungworkshop.org ↗
Timeline

Important Dates

All deadlines are aligned with MICCAI 2026 guidelines. Camera-ready submissions are now due by 21 August 2026.

Submission
Paper Submission Deadline
15 July 2026
✓ Closed
Notification
Acceptance Notification
5 August 2026
Camera-Ready
Final Paper Due
21 August 2026
Workshop
Workshop Date
1 October 2026

All deadlines are 23:59 GMT.

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 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).

Submission Portal
Submit via OpenReview — TIA Workshop 2026
Go to OpenReview
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 OpenReview
Upload your anonymised manuscript via the OpenReview portal before the deadline (23:59 GMT).
04
Camera-Ready
Accepted authors prepare the final version addressing reviewer comments and upload via OpenReview by 21 August 2026.
For Accepted Papers

Camera-Ready Guidelines

Please follow the steps below to prepare and upload your camera-ready paper by 21 August 2026 (23:59 GMT).

01
De-Anonymise Your Paper
List all authors in the same order as in OpenReview. Include a Disclosure of Interests section. You may also add an Acknowledgements section.
02
Prepare the License-to-Publish Form
Download the License-to-Publish 📝 form, have it filled in and signed by the corresponding author (do not modify any pre-filled information), and export it as a PDF named TIA_XX_LTP.pdf, where XX is your OpenReview paper ID.
03
Include Source Files
  • Microsoft Word — include the source file named TIA_XX_source.docx.
  • LaTeX — include a ZIP file named 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.
04
Package Everything
Place all files into a single ZIP archive named TIA_XX.zip.
05
Submit via OpenReview
Upload TIA_XX.zip through the Revision option on your paper's OpenReview page:
Author Console Submission Edit Revision Upload
Poster presentations: Guidelines for poster presentations will be communicated separately. Please note that at least one author must register for physical, on-site participation in order to present the work in person.
Schedule

Workshop Program

Thursday 1 October 2026, 13:30 – 18:00 · Strasbourg Convention Center, France · Adenauer Room.

Keynote Speaker
Prof. Joseph M. Reinhardt
Prof. Joseph M. Reinhardt, PhD
Roy J. Carver Chair in Biomedical Engineering Director, Reinhardt Biomedical Imaging Lab
University of Iowa — Departments of Biomedical Engineering & Radiology

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.

Fellow, IEEE Fellow, AIMBE
13:30
Welcome and Opening Remarks
Adam Szmul and Bilal A. Tahir — workshop overview, review process and submission statistics
13:40
Invited Talk: The History and Future of the PIA and TIA Workshops
Prof. Joseph M. Reinhardt, University of Iowa, USA
Oral Session I · Thoracic Structure Segmentation14:05 – 14:41 · 10 min presentation, 2 min questions
14:05
3D-4C-SegNet: Four-Chamber Segmentation and LVEF Calculation in 4D Echocardiography
Zhenkuan Wang, Wenming Song, Ting Liu, Wenxuan Zhang, Kang Chen, Zhiling Guo, Hongbin Wei, Min Han, Longfei Cong, Muqing Lin, Yongli Xu, Xing An
14:17
An Automated Segmentation Model for Mucus Plug Quantification in Chest CT
Shanshan Wang, John McCabe, Yunjie Chen, Mehran Azimbagirad, Pardeep Vasudev, Gabrielle Baxter, Jason Peter Lim, Azib Zahid, Adam Szmul, Tianqi Yang, Daryl Cheng, Greg Kinney, David Lynch, Matthew Callister, Sam Janes, Daniel C. Alexander, Joseph Jacob
14:29
Prompt-Guided Target-Lesion Segmentation of Infectious Pulmonary Nodules: Model Benchmarking and Localization-Effort Analysis
El Haj Samitt Ebou, Suparna Biswas, Yanni Mahiou, Loïc Duron, Laure Fournier, Constance de Margerie-Mellon, Garance Martin
Rapid-Fire Session I14:41 – 15:05 · 3 min per presentation, max three slides — questions during the coffee break
14:41
Deep Learning Correction of Respiratory Motion Artifacts in 4DCT
Karthika Kelat, William E. Bethard, Joshua W. Carrizales, Sarah E. Gerard, Gary E. Christensen, John E. Bayouth, Joseph M. Reinhardt
14:44
Cupido Loss for Structure-Aware Pulmonary Airway and Artery Segmentation
Chang Yuwen, Litao Yang, Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge
14:47
PE-QUEST: Quality Estimation-driven Sample Selection for Pulmonary Embolism Segmentation
Qihang Sun, Bailiang Jian, Zhongxiao Liu, Yitong Li, Christian Wachinger
14:50
Pulmonary Artery-to-Aorta Ratio Estimation via Landmark-Guided Orthogonal Slicing
Raisa Bentay Hossain, Sarah E. Gerard
14:53
Anatomy-Aware MAE Pretraining for Generalizable Coronary Artery Segmentation
Miriam Gutiérrez-Fernández, Achilleas Toumpas, Christoniki Maga-Nteve, Karen López-Linares Román
14:56
Minimum-Cost Path Framework for 3D Airway Centerline Extraction
Malte Silbernagel, Jens Petersen, Marleen de Bruijne
14:59
Prompt-Guided Interactive Segmentation of Interstitial Lung Disease in Thoracic CT
Vasilis Dedousis, Lubnaa Abdur Rahman, Lorenzo Brigato, Ethan Dack, Andreas Christe, Justus Roos, Manuela Funke-Chambour, Frank Christoph, Adrian Huber, Lukas Ebner, Stavroula Mougiakakou
15:02
Deep Learning for UIP Detection in HRCT Scans: A Comparative Evaluation of Input Representations, Feature Extractors, and Aggregation Strategies
Tânia Melo, João Fernandes, Célia Sousa, Ana Maria Mendonça, João Pedrosa
15:05
Coffee Break & Rapid-Fire Author Discussion
Rapid-Fire Session I presenters available for questions
Oral Session II · Diffuse Lung Disease and Functional Imaging15:35 – 16:23 · 10 min presentation, 2 min questions
15:35
Deep Learning-Based Synthesis of Hyperpolarized Gas MRI Lung Ventilation from Multi-Inflation Proton MRI: A Comparison of CNN, GAN, and Transformer Architectures
Chensheng Liu, Joshua R. Astley, Alberto Biancardi, Jim M. Wild, Bilal A. Tahir
15:47
Interpretable Region-wise Gated CT-Ventilation Fusion for FEV1 Prediction in COPD
Alaa Melek, Ajay Sheshadri, Lili Zhao, Girish Nair, Edward Castillo
15:59
Quantification of Parenchymal Abnormalities Using a Statistical Model of Lung CT Density
Vicente Estopier Castillo, Jean-Sébastien Franco, Julien Cohen, Sam Bayat, Sergi Pujades
16:11
Generic or Domain-Specific? Foundation Models for Annotation-Efficient ILD Segmentation
Carla Monteiro, Mariana Santos, Tânia Melo, Ana Maria Mendonça, José Ricardo Ramos, João Pedrosa
Rapid-Fire Session II16:23 – 16:44 · 3 min per presentation, max three slides
16:23
Comparison of Intensity, Transformation, and Hybrid Non-Contrast CT Ventilation Methods for Discriminating Health from Obstructive Lung Disease
William C. Clark, Ruth Hartley, Petr Novotny, Joshua R. Astley, Alberto M. Biancardi, Helen Marshall, Soniya Soniya, Sarah E. Gerard, Joseph M. Reinhardt, Christopher E. Brightling, Jim M. Wild, Bilal A. Tahir
16:26
CT-CLIP Representations for Multimodal Lung Cancer Survival Prediction
Sofie Allgöwer, Mikael Johansson, Andreas Hallqvist, Jonas Andersson, Åse Johnsson, Ida Häggström, Jennifer Alvén
16:29
Ordinal Deep Learning for Pulmonary Nodule Risk Assessment: An External Validation Study on a Novel Screening Cohort
Miriam Cobo Cano, Diego Serrano, Jennifer Barranco, Andrea Pasquier, Juan Pablo de Torres, Ana Ezponda, Luis M. Seijo, Gorka Bastarrika, Wilson Silva, Lara Lloret Iglesias, Luis M. Montuenga
16:32
Deep Learning Classification for Rare Pulmonary Infection Differentiation in Immunocompromised Patients: A Data-Limited Study
Suparna Biswas, El Haj Samitt Ebou, Yanni Mahiou, Laure Fournier, Loïc Duron, Garance Martin, Constance de Margerie
16:35
Scene-Graph Contrastive Pretraining with Concept-Based Hard Negatives for Radiology Report Generation
Aya Alaswad, Riad Sonbol, Alaa Bessadok
16:38
Multimodal Routing and Region Refinement for Language-Guided Medical Image Segmentation
Md Maklachur Rahman, Md Hasan Al Banna, Saraf Anjum, Assame Arnob, Tracy Hammond
16:41
To Be Confirmed
16:44
Break
Oral Session III · AI Methodology and Representation Learning16:50 – 17:38 · 10 min presentation, 2 min questions
16:50
Big, Bright, or Invisible: A Frozen-Feature Benchmark of 3D CT Foundation Models
Maulik Chevli, Johannes Brandt, Rickmer Braren, Daniel Rueckert, Philip Müller
17:02
TrICON: Learning Diffeomorphic Lung CT Registration through Triplet Consistency
Maria Marquez-Sosa, Émile Saillard, Adrian Basarab, Michaël Sdika
17:14
X2V: Deformable 2D/3D Registration from Intraoperative X-ray to Volume via Motion Manifold Learning
Siddharth Mangipudi, Naren Akash, P. J. Narayanan
17:26
ARC-CT: Anatomy-Routed Contrastive Vision-Language Learning for 3D Chest CT
Huseyin Umut Isik, Mehmet Alp Ozaydin, Sila Kurugol, Şeyda Ertekin
17:38
The CT-PFT AI Grand Challenge 2027
Bilal A. Tahir, University of Sheffield, UK
17:48
Closing Remarks
Adam Szmul and Bilal A. Tahir
17:55
Open Discussion and Close
Community discussion on future editions of TIA
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