223 citations · 354 across the 31 of their papers we have counts for
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eess.IV2022★ 2 cited
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters
Junde Wu, Huihui Fang, Yehui Yang +5
In medical image segmentation, it is often necessary to collect opinions from multiple experts to make the final decision. This clinical routine helps to mitigate individual bias.…
eess.IV2022★ 1 cited
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principle
Junde Wu, Huihui Fang, Hoayi Xiong +5
On the medical images, many of the tissues/lesions may be ambiguous. That is why the medical segmentation is typically annotated by a group of clinical experts to mitigate the pers…
eess.IV2021★ 9 cited
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report
Andrey Ignatov, Andres Romero, Heewon Kim +28
Video super-resolution has recently become one of the most important mobile-related problems due to the rise of video communication and streaming services. While many solutions hav…