Songhui Diao
The University of Texas MD Anderson Cancer Center(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Medical Imaging Techniques and Applications, Medical Image Segmentation Techniques, COVID-19 diagnosis using AI
Most-Cited Works
- → Computer-Aided Pathologic Diagnosis of Nasopharyngeal Carcinoma Based on Deep Learning(2020)38 cited
- → Deep Multi-Magnification Similarity Learning for Histopathological Image Classification(2023)38 cited
- → Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains(2024)36 cited
- → Diffusion probabilistic priors for zero‐shot low‐dose CT image denoising(2024)32 cited
- → Weakly Supervised Framework for Cancer Region Detection of Hepatocellular Carcinoma in Whole-Slide Pathologic Images Based on Multiscale Attention Convolutional Neural Network(2021)26 cited
- → Spatial and multiomics analysis of human and mouse lung adenocarcinoma precursors reveals TIM-3 as a putative target for precancer interception(2025)23 cited
- → Dual domain distribution disruption with semantics preservation: Unsupervised domain adaptation for medical image segmentation(2024)22 cited
- → Multi-scale feature fusion for prediction of IDH1 mutations in glioma histopathological images(2024)14 cited
- → Global contextual representation via graph-transformer fusion for hepatocellular carcinoma prognosis in whole-slide images(2024)10 cited
- → Computer Aided Cancer Regions Detection of Hepatocellular Carcinoma in Whole-slide Pathological Images based on Deep Learning(2019)8 cited