Medical Physics | Radiology Low-dose CT reconstruction with Noise2Noise network and testing-time fine-tuning. November 18, 2021
Radiology | Surgery Efficient knowledge distillation for liver CT segmentation using growing assistant network. November 12, 2021
Nuclear Medicine | Radiology Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development. November 6, 2021
Nuclear Medicine | Radiology Direct Reconstruction of Linear Parametric Images from Dynamic PET Using Nonlocal Deep Image Prior. October 15, 2021
Cognitive Neuroscience | Medical Image Analysis | Neuroimaging 4D Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN). March 22, 2021
Pulmonology | Radiology Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19. March 12, 2021
Pulmonology | Radiology Severity and Consolidation Quantification of COVID-19 from CT Images Using Deep Learning Based on Hybrid Weak Labels. October 12, 2020
Hematology | Machine Learning | Medical Imaging Automated Semantic Segmentation of Red Blood Cells for Sickle Cell Disease. August 4, 2020
Oncology | Pathology | Radiology Deep learning combined with radiomics may optimize the prediction in differentiating high-grade lung adenocarcinomas in ground glass opacity lesions on CT scans. June 30, 2020
Neurology | Radiology Arterial spin labeling MR image denoising and reconstruction using unsupervised deep learning. December 22, 2019
Medical Imaging | Radiation Oncology Gross tumor volume segmentation for head and neck cancer radiotherapy using deep dense multi-modality network. September 12, 2019