Jie‐Zhi Cheng
Publications by Year
Research Areas
AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Medical Image Segmentation Techniques, Lung Cancer Diagnosis and Treatment, COVID-19 diagnosis using AI
Most-Cited Works
- → Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images(2016)241 cited
- → FUIQA: Fetal Ultrasound Image Quality Assessment With Deep Convolutional Networks(2017)239 cited
- → Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks(2015)170 cited
- → Ultrasound Standard Plane Detection Using a Composite Neural Network Framework(2017)165 cited
- → Automatic Scoring of Multiple Semantic Attributes With Multi-Task Feature Leverage: A Study on Pulmonary Nodules in CT Images(2016)146 cited
- → Learning Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis(2020)124 cited
- → Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting(2017)116 cited
- → WGAN-Based Synthetic Minority Over-Sampling Technique: Improving Semantic Fine-Grained Classification for Lung Nodules in CT Images(2019)110 cited
- → Segmentation of breast anatomy for automated whole breast ultrasound images with boundary regularized convolutional encoder–decoder network(2018)72 cited
- → Self-co-attention neural network for anatomy segmentation in whole breast ultrasound(2020)66 cited