8 citations · 10 across the 6 of their papers we have counts for
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eess.IV2023★ 8 cited
Ultrasound Image Enhancement using CycleGAN and Perceptual Loss
Shreeram Athreya, Ashwath Radhachandran, Vedrana Ivezić +3
Purpose: The objective of this work is to introduce an advanced framework designed to enhance ultrasound images, especially those captured by portable hand-held devices, which ofte…
eess.IV2023★ 2 cited
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation
Minghui Zhang, Yangqian Wu, Hanxiao Zhang +33
Open international challenges are becoming the de facto standard for assessing computer vision and image analysis algorithms. In recent years, new methods have extended the reach o…