MIART Workshop 2026
Welcome to the official website of the MIART 2026 workshop, held in conjunction with MICCAI 2026.
MIART 2026 has concluded. Thank you!
MIART 2026 took place on October 1, 2026 at MICCAI 2026 in Strasbourg. Many thanks to our keynote speakers, all presenting authors, the reviewers, and everyone who joined us in Room Londrezs 1.
Congratulations to Blanca Rodriguez-Gonzalez et al., winners of the MIART 2026 Best Paper Award for Can We Trust Synthetic CT Algorithms? Uncertainty-Aware Evaluation of CBCT to CT Synthesis for Adaptive Proton Therapy.
Slides from both keynotes and all nine oral presentations are now linked in the programme below. We look forward to welcoming you again next year — follow us on LinkedIn for news about the next edition.
At a Glance
- Workshop: Medical Image AI in Radiation Therapy (MIART) at MICCAI 2026
- Date: October 1, 2026
- Time: 08:00 – 12:30
- Duration: Half-day
- Location: Room Londrezs 1 (ground floor)
- Format: In-person
Twenty-seven papers were accepted; see the full list of accepted papers. All 27 were presented as posters, and nine were additionally selected for oral presentation across three thematic sessions, alongside two invited keynotes. The programme below gives the full schedule, with links to the presentation slides. All accepted papers will appear in the MICCAI 2026 Springer proceedings. See About & Announcements for the full acceptance statistics and the latest news.
MIART Workshop 2026 is endorsed by the European Society for Radiotherapy and Oncology (ESTRO).
Programme
The workshop took place in Room Londrezs 1 (ground floor), 08:00 – 12:30, as listed in the official MICCAI 2026 Satellite Events programme.
Each oral contribution was allotted 8 minutes for presentation + 2 minutes for questions. Oral sessions were grouped thematically; the first two were each paired with the keynote that preceded them. All 27 accepted papers, including the nine selected for oral presentation, were also presented as posters; see the papers page for the complete listing. Slides for both keynotes and all nine oral presentations are linked from the table below.
| Time | Session |
|---|---|
| 08:00 – 08:05 | Opening Session |
| 08:05 – 08:45 | Are We Solving the Right Problems? Building AI That Matters for Radiotherapy Stine Sofia Korreman – Professor of Medical Physics, lead of the Artificial Intelligence and Big Data in Radiation Oncology research group. Aarhus University Hospital / Aarhus University · Slides (PDF) |
| 08:45 – 09:15 | Oral Session 1: Segmentation, Contour Quality & Calibration |
| 08:45 – 08:55 | Recognizing Dosimetrically Irrelevant Edits of Auto-Segmentations in Head and Neck Organs of Interest Mar Fernandez Salamanca et al. · Slides (PDF) |
| 08:55 – 09:05 | DoMa-Seg: Dose Map Guidance for Medical Image Segmentation in Head and Neck Radiotherapy Jihe Li et al. · Slides (PDF) |
| 09:05 – 09:15 | Parameter-Efficient Pretrained-CT-to-MRI Transfer for Rectal Cancer Segmentation: Performance-Calibration Trade-Offs Aneesh Rangnekar et al. · Slides (PDF) |
| 09:15 – 10:00 | Image synthesis in radiotherapy: state-of-the-art, clinical integration, and future directions Matteo Maspero – Assistant professor and Medical Physicist. Radiotherapy Department, Computational Imaging Group for MR Therapy and Diagnostics. University Medical Center Utrecht · Slides (PDF) |
| 10:00 – 10:30 | Break |
| 10:30 – 11:00 | Oral Session 2: Cross-Modality Image Synthesis |
| 10:30 – 10:40 | SynthRCT: Scalable Conditional Deformation Synthesis for Synthetic Repeat CT Generation Tomas Guija-Valiente et al. · Slides (PDF) |
| 10:40 – 10:50 | Can We Trust Synthetic CT Algorithms? Uncertainty-Aware Evaluation of CBCT to CT Synthesis for Adaptive Proton Therapy 🏆 Best Paper Award Blanca Rodriguez-Gonzalez et al. · Slides (PDF) |
| 10:50 – 11:00 | Cross-Modal Spatial Gating of Planning-MRI Priors for Longitudinal CBCT-to-CT Synthesis Vincent Jaouen et al. · Slides (PDF) |
| 11:00 – 11:45 | Break |
| 11:45 – 12:15 | Oral Session 3: Adaptive Radiotherapy (Longitudinal Imaging, Motion & Dose) |
| 11:45 – 11:55 | CBCT Segmentation in Head and Neck ART: A Longitudinal Deep Learning Approach Lucía Cubero et al. · Slides (PDF) |
| 11:55 – 12:05 | Motion-Consistent Memory for Foundation Model-Based Tumor Tracking in MR-Guided Radiotherapy Pauline Ornela Megne Choudja et al. · Slides (PDF) |
| 12:05 – 12:15 | Uncertainty-Aware Out-of-Field Dose Prediction in External Beam Radiotherapy Mohammed El Aichi et al. · Slides (PDF) |
| 12:15 – 12:30 | Closing Session and Best Paper Award Best Paper Award presented to Blanca Rodriguez-Gonzalez et al. for Can We Trust Synthetic CT Algorithms? Uncertainty-Aware Evaluation of CBCT to CT Synthesis for Adaptive Proton Therapy |
Explore the Workshop
MIART 2026
