output
20182026
most citedDeep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation

41 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cs.LG2026

Evaluating the trustworthiness of the Fréchet Inception Distance with stochastic embedding representations

Ciaran Bench, Vivek Desai, Carlijn Roozemond +2

Feature embeddings acquired from pretrained models are widely used in medical applications of deep learning to assess the characteristics of datasets; e.g. to determine the quality…