Pheng‐Ann Heng
Chinese University of Hong Kong(HK)
Publications by Year
Research Areas
Medical Image Segmentation Techniques, Advanced Neural Network Applications, Computer Graphics and Visualization Techniques, 3D Shape Modeling and Analysis, Radiomics and Machine Learning in Medical Imaging
Most-Cited Works
- → Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer(2017)3,201 cited
- → H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes(2018)2,396 cited
- → Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?(2018)2,134 cited
- → Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge(2017)1,278 cited
- → Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks(2016)1,118 cited
- → The Liver Tumor Segmentation Benchmark (LiTS)(2022)1,081 cited