Tung‐Hsin Wu

Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors

Ya‐Ting Jan, Pei‐Shan Tsai, Wenhui Huang et al. · Insights into Imaging · 2023 · 59 citations · Full text

Medicine, Oncology, Radiology +17

Pix2Pix generative adversarial network for low dose myocardial perfusion SPECT denoising

Jingzhang Sun, Yu Du, Chien‐Ying Li et al. · Quantitative Imaging in Medicine and Surgery · 2022 · 56 citations · Full text

Medicine, Nuclear Medicine, Radiology +13

Low dose interpolated average CT for thoracic PET/CT attenuation correction using an active breathing controller

Tao Sun, Tung‐Hsin Wu, Shyh‐Jen Wang et al. · Medical Physics · 2013 · 23 citations

Medicine, Nuclear Medicine, Radiology +16

Can Iterative Reconstruction Improve Imaging Quality for Lower Radiation CT Perfusion? Initial Experience

Chung‐Jung Lin, Tung‐Hsin Wu, Chien‐Jen Lin et al. · American Journal of Neuroradiology · 2013 · 23 citations · Full text

Medicine, Radiology, Biomedical Imaging +16

Prospective demonstration of brain plasticity after intensive abacus-based mental calculation training: An fMRI study

C.L. Chen, Tung‐Hsin Wu, Manxin Cheng et al. · Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · 2006 · 16 citations

Medicine, Neuroscience, Psychology +15