Hongyi Duanmu
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View article: Predicting neoadjuvant treatment response in triple-negative breast cancer using machine learning
Predicting neoadjuvant treatment response in triple-negative breast cancer using machine learning Open
Background Neoadjuvant chemotherapy (NAC) is the standard treatment for early-stage triple negative breast cancer (TNBC). The primary endpoint of NAC is a pathological complete response (pCR). NAC results in pCR in only 30%–40% of TNBC pat…
View article: Deep learning of longitudinal chest X-ray and clinical variables predicts duration on ventilator and mortality in COVID-19 patients
Deep learning of longitudinal chest X-ray and clinical variables predicts duration on ventilator and mortality in COVID-19 patients Open
View article: A spatial attention guided deep learning system for prediction of pathological complete response using breast cancer histopathology images
A spatial attention guided deep learning system for prediction of pathological complete response using breast cancer histopathology images Open
Motivation Predicting pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in triple-negative breast cancer (TNBC) patients accurately is direly needed for clinical decision making. pCR is also regarded as a strong predic…
View article: Deep learning of longitudinal chest X-ray and clinical variables predicts duration on ventilator and mortality in COVID-19 patients
Deep learning of longitudinal chest X-ray and clinical variables predicts duration on ventilator and mortality in COVID-19 patients Open
Objectives: To use deep learning of serial Portable chest x-ray (pCXR) and clinical variables to predict mortality and duration on invasive mechanical ventilation (IMV) for Coronavirus disease 2019 (COVID-19) patients. Methods: This is a r…
View article: A Spatial Attention Guided Deep Learning System for Prediction of Pathological Complete Response Using Breast Cancer Histopathology Images
A Spatial Attention Guided Deep Learning System for Prediction of Pathological Complete Response Using Breast Cancer Histopathology Images Open
Predicting pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in triple-negative breast cancer (TNBC) patients accurately is direly needed for clinical decision making. pCR is also regarded as a strong predictor of over…
View article: Foveal blur-boosted segmentation of nuclei in histopathology images with shape prior knowledge and probability map constraints
Foveal blur-boosted segmentation of nuclei in histopathology images with shape prior knowledge and probability map constraints Open
Motivation In most tissue-based biomedical research, the lack of sufficient pathology training images with well-annotated ground truth inevitably limits the performance of deep learning systems. In this study, we propose a convolutional ne…
View article: Spatial Attention-Based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains
Spatial Attention-Based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains Open
View article: Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach
Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach Open
Background In recent years, both suicide and overdose rates have been increasing. Many individuals who struggle with opioid use disorder are prone to suicidal ideation; this may often result in overdose. However, these fatal overdoses are …
View article: Automatic Brain Organ Segmentation with 3D Fully Convolutional Neural Network for Radiation Therapy Treatment Planning
Automatic Brain Organ Segmentation with 3D Fully Convolutional Neural Network for Radiation Therapy Treatment Planning Open
3D organ contouring is an essential step in radiation therapy treatment planning for organ dose estimation as well as for optimizing plans to reduce organs-at-risk doses. Manual contouring is time-consuming and its inter-clinician variabil…
View article: Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach (Preprint)
Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach (Preprint) Open
BACKGROUND In recent years, both suicide and overdose rates have been increasing. Many individuals who struggle with opioid use disorder are prone to suicidal ideation; this may often result in overdose. However, these fatal overdoses are…