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  1. No Access

    Chapter and Conference Paper

    Robust Unsupervised Super-Resolution of Infant MRI via Dual-Modal Deep Image Prior

    Magnetic resonance imaging (MRI) is commonly used for studying infant brain development. However, due to the lengthy image acquisition time and limited subject compliance, high-quality infant MRI can be challe...

    Cheng Che Tsai, **aoyang Chen, Sahar Ahmad in Machine Learning in Medical Imaging (2024)

  2. Article

    Open Access

    A deep learning model using chest X-ray for identifying TB and NTM-LD patients: a cross-sectional study

    Timely differentiating between pulmonary tuberculosis (TB) and nontuberculous mycobacterial lung disease (NTM-LD), which are radiographically similar, is important because infectiousness and treatment differ. ...

    Chia-Jung Liu, Cheng Che Tsai, Lu-Cheng Kuo, Po-Chih Kuo in Insights into Imaging (2023)

  3. Article

    Open Access

    Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph

    Image-based teleconsultation using smartphones has become increasingly popular. In parallel, deep learning algorithms have been developed to detect radiological findings in chest X-rays (CXRs). However, the fe...

    Po-Chih Kuo, Cheng Che Tsai, Diego M. López, Alexandros Karargyris in npj Digital Medicine (2021)

  4. No Access

    Chapter

    Flavor-Related Applications of Chitin and Chitosan in Foods: Effect of Structure and Properties on the Efficacy

    Chitin and chitosan are natural and abundant polymers with extensive structural possibilities for physical and chemical modification. The well-known inherent astringency of chitin and chitosan limits their use...

    Shang-Ta Wang, Cheng-Che Tsai, Ming-Chih Shih in Chitosan for Biomaterials III (2021)

  5. No Access

    Article

    Behavior of density-induced segregation with multi-density granular materials in a thin rotating drum

    In this study, the effect of multi-density particles on granular segregation was experimentally investigated in a rotating drum. Optical cameras were used to record the motions of the granular materials. Parti...

    Chun-Chung Liao, Cheng-Che Tsai in Granular Matter (2020)

  6. No Access

    Chapter and Conference Paper

    JSTASR: Joint Size and Transparency-Aware Snow Removal Algorithm Based on Modified Partial Convolution and Veiling Effect Removal

    Snow removal usually affects the performance of computer vision. Comparing with other atmospheric phenomenon (e.g., haze and rain), snow is more complicated due to its transparency, various size, and accumulat...

    Wei-Ting Chen, Hao-Yu Fang, Jian-Jiun Ding, Cheng-Che Tsai in Computer Vision – ECCV 2020 (2020)

  7. No Access

    Article

    Aspirin and nonsteroidal anti-inflammatory drugs after but not before diagnosis are associated with improved breast cancer survival: a meta-analysis

    The association between nonsteroidal anti-inflammatory drugs (NSAIDs) and breast cancer survival is still controversial. The aim of our meta-analysis was to assess the survival benefit of NSAIDs.

    Xuan-zhang Huang, Peng Gao, **g-xu Sun, Yong-xi Song in Cancer Causes & Control (2015)