3.1k citations · 3.3k across the 19 of their papers we have counts for
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Noisy Image Segmentation With Soft-Dice
Marcus Nordström, Henrik Hult, Atsuto Maki +1
This paper presents a study on the soft-Dice loss, one of the most popular loss functions in medical image segmentation, for situations where noise is present in target labels. In…
Time-series Anomaly Detection based on Difference Subspace between Signal Subspaces
Takumi Kanai, Naoya Sogi, Atsuto Maki +1
This paper proposes a new method for anomaly detection in time-series data by incorporating the concept of difference subspace into the singular spectrum analysis (SSA). The key id…
Marginal Thresholding in Noisy Image Segmentation
Marcus Nordström, Henrik Hult, Atsuto Maki
This work presents a study on label noise in medical image segmentation by considering a noise model based on Gaussian field deformations. Such noise is of interest because it yiel…