Disi Lin

Contact

disi.lin@umu.se

Works as

Doctoral student at Department of Computing Science

MIT-huset, Umeå universitet, MIT.E.255 Umeå universitet, 901 87 Umeå

Senior research engineer at Department of Clinical Microbiology

6F och 6M, Universitetssjukhuset by 6 o 24 Umeå universitet, 901 85 Umeå

Structure-aware machine learning for medical image analysis

Report / UMINF, 26.07

Lin, Disi

Generalized TV–ℓp Structured Priors for Bayesian T1 Mapping

Machine Learning for Biomedical Imaging, Machine Learning for Biomedical Imaging 2026, Vol. 2026, (UNSURE2025) : 297-312

Lin, Disi; Berggren, Martin; Löfstedt, Tommy

A proper structured prior for Bayesian T₁ mapping

Uncertainty for safe utilization of machine learning in medical imaging: 7th International workshop, UNSURE 2025, held in conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings, Cham: Springer 2025 : 224-233

Lin, Disi; Garpebring, Anders; Löfstedt, Tommy

Structured regularization with object size selection using mathematical morphology

Pattern Analysis and Applications, Springer Nature 2025, Vol. 28

Lin, Disi; Hägg, Linus; Wadbro, Eddie; et al.

Structured regularization using approximate morphology for Alzheimer's disease classification

2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI) : 1-4

Lin, Disi; Hägg, Linus; Wadbro, Eddie; et al.

Large-scale local regression models with uncertainty quantification

Lin, Disi

View publications in DiVA

Research groups

Group member

Machine Learning

Published: 03 Sep, 2026

New AI methods make medical image analysis more reliable