Youbao Tang
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, COVID-19 diagnosis using AI, Advanced Neural Network Applications, Lung Cancer Diagnosis and Treatment
Most-Cited Works
- → Automated abnormality classification of chest radiographs using deep convolutional neural networks(2020)251 cited
- → CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation(2018)179 cited
- → Offline Text-Independent Writer Identification Based on Scale Invariant Feature Transform(2014)117 cited
- → Scene Text Detection and Segmentation Based on Cascaded Convolution Neural Networks(2017)107 cited
- → XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation(2019)86 cited
- → Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT(2020)83 cited
- → Saliency Detection via Combining Region-Level and Pixel-Level Predictions with CNNs(2016)74 cited
- → Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST(2018)71 cited
- → Discrete Probability Distribution Prediction of Image Emotions with Shared Sparse Learning(2018)70 cited
- → A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis(2020)69 cited