Hongyi Duanmu
Stony Brook University(US)
Publications by Year
Research Areas
AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Sepsis Diagnosis and Treatment, Respiratory Support and Mechanisms, Suicide and Self-Harm Studies
Most-Cited Works
- → Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach(2020)65 cited
- → Convolutional Neural Network Detection of Axillary Lymph Node Metastasis Using Standard Clinical Breast MRI(2019)59 cited
- → Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Deep Learning with Integrative Imaging, Molecular and Demographic Data(2020)53 cited
- → A spatial attention guided deep learning system for prediction of pathological complete response using breast cancer histopathology images(2022)41 cited
- → Deep learning of longitudinal chest X-ray and clinical variables predicts duration on ventilator and mortality in COVID-19 patients(2022)14 cited
- → Automatic Brain Organ Segmentation with 3D Fully Convolutional Neural Network for Radiation Therapy Treatment Planning(2020)14 cited
- → Predicting neoadjuvant treatment response in triple-negative breast cancer using machine learning(2023)10 cited
- → Spatial Attention-Based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains(2021)8 cited
- → Foveal blur-boosted segmentation of nuclei in histopathology images with shape prior knowledge and probability map constraints(2021)6 cited