Xia Huang
Wuzhou Red Cross Hospital(CN)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Advanced Neural Network Applications, COVID-19 diagnosis using AI, Medical Image Segmentation Techniques, Lung Cancer Diagnosis and Treatment
Most-Cited Works
- → Fast and fully-automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep convolutional neural networks(2019)164 cited
- → Deep-learning-based detection and segmentation of organs at risk in nasopharyngeal carcinoma computed tomographic images for radiotherapy planning(2018)141 cited
- → Boosting‐based cascaded convolutional neural networks for the segmentation of CT organs‐at‐risk in nasopharyngeal carcinoma(2019)48 cited
- → HCANet: A Hierarchical Context Aggregation Network for Semantic Segmentation of High-Resolution Remote Sensing Images(2021)41 cited
- → Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs(2019)32 cited
- → Rapeseed Flower Counting Method Based on GhP2-YOLO and StrongSORT Algorithm(2024)20 cited
- → Graph-enhanced U-Net for semi-supervised segmentation of pancreas from abdomen CT scan(2022)19 cited
- → Automatic lung nodule graph cuts segmentation with deep learning false positive reduction(2017)15 cited
- → Balance the nodule shape and surroundings: a new multichannel image based convolutional neural network scheme on lung nodule diagnosis(2017)10 cited
- → A vision-based autonomous lane following system for a mobile robot(2009)7 cited