Deep generative models such as Diffusion Models, Generative Adversarial Networks (GANs) and Variational Auto-Encoders (VAEs) are currently receiving widespread attention from not only the computer vision and machine learning communities, but also in the MIC and CAI community. These models combine the advanced deep neural networks with classical density estimation (either explicit or implicit) for achieving state-of-the-art results. DGM4MICCAI workshop at MICCAI 2026 will be all about Deep Generative Models in Medical Image Computing and Computer Assisted Interventions.

DGM4MICCAI Workshop Proceedings are available via this Springer Link.

Submission Details

The online submission for DGM4MICCAI is open until 19. June, 11:59 PM Pacific Time. Contributions must be submitted online through the CMT submission system.

We seek contributions that include, but are not limited to:

• Novel architectures, loss functions, and theoretical developments for:
  • Stable Diffusion Models
  • Causal generative models
  • Neural Cellular Automata
  • GANs and Adversarial Learning
  • Variational Auto-Encoder
  • Disentanglement
  • Flow
  • Autoregressive models
  • Multi-Modality and Cross-Modality linking
  • Novel metrics and uncertainty estimates for performance assessment and interpretability of generative models
  • Generative models under limited, sparse and noisy image inputs
  • Supervised and Unsupervised Domain Adaptation, Transfer Learning and Multi-Task Learning
  • Segmentation, Detection, Synthesis, Reconstruction, Denoising, Supersampling, Registration
  • Image-to-Image translation for Synthetic Training Data Generation or Augmented Reality
  • Neural Rendering

  We particularly welcome papers driven by the theme "MIC meets CAI". Interesting novel applications of deep generative models in MIC and CAI beyond these topics are also welcome.

  Workshop proceedings are published as part of Springer Nature's Lecture Notes in Computer Science (LNCS) series. Manuscripts will be reviewed in double-blinded peer-review. Please prepare your workshop papers according to the MICCAI submission guidelines (LNCS template, 8 pages maximum).
  Supplementary material: PDF documents or mp4 videos, 10 MB maximum file size.

  Reviewing Responsibility: At least one co-author must volunteer to review for DGM4MICCAI 2026. The submission form will request the name and email address of the qualified co-author nominated for reviewing duties.

  Timeline

  Event	Date
  Paper Submission Deadline	19. June
  Reviews Due	03. July 2026
  Final Decision	07. July 2026
  Camera ready papers due	17. July 2026
  DGM4MICCAI Workshop	TBA 2026

  Program

  DGM4MICCAI workshop will be a half-day event (Location: Meeting Room TBA), following the agenda below:

  Start	End	Topic
  1:30 PM	1:40 PM	Opening
  1:40 PM	3:00 PM	Long Orals 1
  3:00 PM	3:30 PM	Short Orals 1
  3:30 PM	4:00 PM	Coffee Break
  4:00 PM	4:30 PM	Keynote by Julia Wolleb
  4:30 PM	5:30 PM	Long Orals 2
  5:30 PM	5:55 PM	Short Orals 2
  5:55 PM	6:00 PM	Awards and Closing All times are given in CEST time. Please note that times might be subject to change, so keep an eye on the schedule or follow us on LinkedIn to be up-to-date. Keynote Yannik Frisch, PhD Institute for Artificial Intelligence in Cardiovascular Medicine Universitätsklinikum Heidelberg, Germany TITLE TBA DESCRIPTION TBA Oral Sessions Long Orals 1 Paper ID Title Short Orals 1 Paper ID Title Long Orals 2 Paper ID Title Short Orals 2 Paper ID Title