Shuolin Liu
Publications by Year
Research Areas
Advanced Radiotherapy Techniques, Advanced Neural Network Applications, Lung Cancer Diagnosis and Treatment, Radiomics and Machine Learning in Medical Imaging, Medical Image Segmentation Techniques
Most-Cited Works
- → Technical Note: A cascade 3D U‐Net for dose prediction in radiotherapy(2021)88 cited
- → Predicting voxel-level dose distributions for esophageal radiotherapy using densely connected network with dilated convolutions(2020)47 cited
- → OpenKBP-Opt: an international and reproducible evaluation of 76 knowledge-based planning pipelines(2022)28 cited
- → Voxel-Level Radiotherapy Dose Prediction Using Densely Connected Network with Dilated Convolutions(2019)7 cited
- → Dynamic Resolution Network for Kidney Tumor Segmentation(2024)2 cited
- → Coarse to Fine Framework for Kidney Tumor Segmentation(2019)1 cited
- → One-Dimensional Convolutional Network for Dosimetry Evaluation at Organs-at-Risk in Esophageal Radiation Treatment Planning(2019)