30 citations · 57 across the 7 of their papers we have counts for
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cs.CV2019
Hue-Net: Intensity-based Image-to-Image Translation with Differentiable Histogram Loss Functions
Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv
We present the Hue-Net - a novel Deep Learning framework for Intensity-based Image-to-Image Translation. The key idea is a new technique termed network augmentation which allows a…
eess.IV2019★ 9 cited
The Worrisome Impact of an Inter-rater Bias on Neural Network Training
Or Shwartzman, Harel Gazit, Ilan Shelef +1
The problem of inter-rater variability is often discussed in the context of manual labeling of medical images. The emergence of data-driven approaches such as Deep Neural Networks…