Learning with Order: Ordinal Representations for Trustworthy Medical AI

MICCAI 2026 Tutorial · Afternoon, October 1, 2026 · Strasbourg Convention Center (Stuttgart Room)

Overview

Ordinal labels are ubiquitous in medical imaging — from disease severity grades to cancer stages — yet remain underexplored methodologically. This tutorial presents Deep Ordinal Learning as a unifying framework for building clinically coherent, robust, and trustworthy medical AI, covering the full pipeline from ordinal classification and segmentation, to evaluation metrics and representation learning.


Schedule

Thursday, October 1, 2026 · Strasbourg Convention Center, Stuttgart Room. See the MICCAI 2026 Satellite Events Program for full conference details.

TimeSessionSpeaker
13:25 – 13:30Opening remarks
13:30 – 14:15Ordinal SegmentationJaime S. Cardoso
14:15 – 15:00Ordinal MetricsAdrian Galdran
15:00 – 15:30KeynoteAnirban Mukhopadhyay
15:30 – 16:00Coffee break
16:00 – 16:45Ordinal ClassificationCarla Monteiro
16:45 – 17:30Ordinal Representations and Generative AIWilson Silva

Keynote Speaker

Dr. Anirban Mukhopadhyay · TU Darmstadt, Germany · LinkedIn

Anirban Mukhopadhyay's vision is to Reverse Engineer the Doctor's Mind. He leads an independent research group at TU Darmstadt, Germany that develops assistive AI for image-guided diagnosis and surgery. He organizes premier international conferences, challenges and workshops. Dr. Mukhopadhyay is the AI-partner of RACOON, the radiology conglomerate of 38 German University hospitals to combat COVID-19. He hosts the popular podcast "AI-Ready Healthcare".


Organizing Team

NameAffiliationCountry
👤Jaime S. CardosoINESC TEC / University of Porto🇵🇹 Portugal
👤Adrian GaldranTECNALIA🇪🇸 Spain
👤Valentina CorbettaNetherlands Cancer Institute🇳🇱 The Netherlands
👤Wilson SilvaUtrecht University🇳🇱 The Netherlands
👤Miriam CoboCantabria University🇪🇸 Spain
👤Aniek EijpeUtrecht University🇳🇱 The Netherlands
👤Ricardo CruzINESC TEC / University of Porto🇵🇹 Portugal



📬 Contact

For inquiries, please reach out to Wilson Silva (w.j.dossantossilva@uu.nl).