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Selected Publications


Fréchet radiomic distance (FRD): A versatile metric for comparing medical imaging datasets.

Journal Article Med Image Anal · January 24, 2026 Determining whether two sets of images belong to the same or different distributions or domains is a crucial task in modern medical image analysis and deep learning; for example, to evaluate the output quality of image generative models. Currently, metrics ... Full text Link to item Cite

Segment anything model for medical image analysis: An experimental study.

Journal Article Med Image Anal · October 2023 Training segmentation models for medical images continues to be challenging due to the limited availability of data annotations. Segment Anything Model (SAM) is a foundation model trained on over 1 billion annotations, predominantly for natural images, tha ... Full text Link to item Cite