Feng Yang
Center for Devices and Radiological Health(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Advanced Neuroimaging Techniques and Applications, COVID-19 diagnosis using AI, Advanced MRI Techniques and Applications, Medical Image Segmentation Techniques
Most-Cited Works
- → Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification(2016)621 cited
- → Multi-scale Convolutional Neural Networks for Lung Nodule Classification(2015)569 cited
- → Deep Learning for Smartphone-Based Malaria Parasite Detection in Thick Blood Smears(2019)262 cited
- → Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears(2020)104 cited
- → Lung Lesion Extraction Using a Toboggan Based Growing Automatic Segmentation Approach(2015)98 cited
- → Staging of cervical cancer based on tumor heterogeneity characterized by texture features on18F-FDG PET images(2015)82 cited
- → Learning from Experts: Developing Transferable Deep Features for Patient-Level Lung Cancer Prediction(2016)75 cited
- → A fluorescent sensor for low pH values based on a covalently immobilized rhodamine–napthalimide conjugate(2011)72 cited
- → Assessing Inter-Annotator Agreement for Medical Image Segmentation(2023)66 cited
- → Malaria Screener: a smartphone application for automated malaria screening(2020)62 cited