Antong Chen
Merck & Co., Inc., Rahway, NJ, USA (United States)(US)
Publications by Year
Research Areas
AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Medical Image Segmentation Techniques, Medical Imaging and Analysis, Advanced Neural Network Applications
Most-Cited Works
- → Evaluation of segmentation methods on head and neck CT: Auto‐segmentation challenge 2015(2017)259 cited
- → Application of Deep Learning Convolutional Neural Networks for Internal Tablet Defect Detection: High Accuracy, Throughput, and Adaptability(2020)88 cited
- → Combining registration and active shape models for the automatic segmentation of the lymph node regions in head and neck CT images(2010)46 cited
- → Data-driven model and model paradigm to predict 1D and 2D particle size distribution from measured chord-length distribution(2017)26 cited
- → A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images(2018)25 cited
- → A Multi-atlas Approach for the Automatic Segmentation of Multiple Structures in Head and Neck CT Images(2016)20 cited
- → Micro-CT imaging: Developing criteria for examining fetal skeletons in regulatory developmental toxicology studies – A workshop report(2016)14 cited
- → Deep Learning Convolutional Neural Networks for Pharmaceutical Tablet Defect Detection(2020)13 cited
- → Automatic segmentation of left ventricle in cardiac cine MRI images based on deep learning(2017)13 cited
- → A Progressively-Trained Scale-Invariant and Boundary-Aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions(2019)10 cited