Runnan Cao
Washington University in St. Louis(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Colorectal Cancer Screening and Detection, Gastric Cancer Management and Outcomes, Neural and Behavioral Psychology Studies, Head and Neck Cancer Studies
Most-Cited Works
- → A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study(2021)123 cited
- → Radiomics and Deep Learning in Nasopharyngeal Carcinoma: A Review(2023)61 cited
- → Artificial intelligence in gastric cancer: applications and challenges(2022)44 cited
- → A multi-view co-training network for semi-supervised medical image-based prognostic prediction(2023)23 cited
- → Deep learning‐based radiomics model can predict extranodal soft tissue metastasis in gastric cancer(2023)15 cited
- → Development of a deep learning‐based nomogram for predicting lymph node metastasis in cervical cancer: A multicenter study(2022)13 cited
- → Pathological diagnosis and prognosis of Gastric cancer through a multi-instance learning method(2021)9 cited
- → Characterization of the spatiotemporal representations of visual, semantic, and memorability features in the human brain(2026)1 cited
- → Semi-supervised Long-tail Endoscopic Image Classification(2022)1 cited
- → Computational single-neuron mechanisms of visual object coding in the human temporal lobe(2026)