Yunxin Zhong
Publications by Year
Research Areas
COVID-19 diagnosis using AI, Radiomics and Machine Learning in Medical Imaging, Advanced Neural Network Applications, Lung Cancer Diagnosis and Treatment, Robotics and Sensor-Based Localization
Most-Cited Works
- → VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results(2019)469 cited
- → SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications(2019)259 cited
- → CoSinGAN: Learning COVID-19 Infection Segmentation from a Single Radiological Image(2020)34 cited
- → A Survey on Deep Learning of Small Sample in Biomedical Image Analysis(2019)33 cited
- → Automatic Aortic Valve Cusps Segmentation from CT Images Based on the Cascading Multiple Deep Neural Networks(2022)27 cited
- → SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma(2025)17 cited
- → Drr4covid: Learning Automated COVID-19 Infection Segmentation From Digitally Reconstructed Radiographs(2020)13 cited
- → ACCL: Adversarial constrained-CNN loss for weakly supervised medical image segmentation(2020)11 cited
- → Learning Diagnosis of COVID-19 from a Single Radiological Image(2020)3 cited