Tanatta Chaichakan
Research title: Weakly-supervised learning for medical image understanding
Publications
2026
Chaichakan, Tanatta, Deligianni, Fani 
ORCID: https://orcid.org/0000-0003-1306-5017 and Henderson, Paul ORCID: https://orcid.org/0000-0002-5198-7445
(2026)
Leveraging Multi-Representation Features from Diffusion Models for Unsupervised 3D Medical Image Segmentation.
In: 6th Deep Generative Models Workshop @ MICCAI 2026 (DGM4MICCAI 2026), Strasbourg, France, MICCAI 2026,
(Accepted for Publication)
2025
Chaichakan, Tanatta, Henderson, Paul ORCID: https://orcid.org/0000-0002-5198-7445 and Deligianni, Fani ORCID: https://orcid.org/0000-0003-1306-5017
(2025)
Leveraging Pre-Trained Diffusion Models for Unsupervised Medical Image Registration.
In: 6th International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2025), London, 19 - 21 Nov 2025,
(Accepted for Publication)
Conference Proceedings
Chaichakan, Tanatta, Deligianni, Fani ORCID: https://orcid.org/0000-0003-1306-5017 and Henderson, Paul ORCID: https://orcid.org/0000-0002-5198-7445
(2026)
Leveraging Multi-Representation Features from Diffusion Models for Unsupervised 3D Medical Image Segmentation.
In: 6th Deep Generative Models Workshop @ MICCAI 2026 (DGM4MICCAI 2026), Strasbourg, France, MICCAI 2026,
(Accepted for Publication)
Chaichakan, Tanatta, Henderson, Paul ORCID: https://orcid.org/0000-0002-5198-7445 and Deligianni, Fani ORCID: https://orcid.org/0000-0003-1306-5017
(2025)
Leveraging Pre-Trained Diffusion Models for Unsupervised Medical Image Registration.
In: 6th International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2025), London, 19 - 21 Nov 2025,
(Accepted for Publication)