80 citations · 102 across the 5 of their papers we have counts for
5 papers
Strong Baseline and Bag of Tricks for COVID-19 Detection of CT Scans
Chih-Chung Hsu, Chih-Yu Jian, Chia-Ming Lee +2
This paper investigates the application of deep learning models for lung Computed Tomography (CT) image analysis. Traditional deep learning frameworks encounter compatibility issue…
Spatiotemporal Feature Learning Based on Two-Step LSTM and Transformer for CT Scans
Chih-Chung Hsu, Chi-Han Tsai, Guan-Lin Chen +2
Computed tomography (CT) imaging could be very practical for diagnosing various diseases. However, the nature of the CT images is even more diverse since the resolution and number…
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images
Huihui Fang, Fei Li, Huazhu Fu +28
Age-related macular degeneration (AMD) is the leading cause of visual impairment among elderly in the world. Early detection of AMD is of great importance, as the vision loss cause…
Visual Transformer with Statistical Test for COVID-19 Classification
Chih-Chung Hsu, Guan-Lin Chen, Mei-Hsuan Wu
With the massive damage in the world caused by Coronavirus Disease 2019 SARS-CoV-2 (COVID-19), many related research topics have been proposed in the past two years. The Chest Comp…
Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report
Andrey Ignatov, Cheng-Ming Chiang, Hsien-Kai Kuo +38
As the quality of mobile cameras starts to play a crucial role in modern smartphones, more and more attention is now being paid to ISP algorithms used to improve various perceptual…