Medical Imaging | Oncology | Radiology A two-stage deep-learning framework for CT denoising based on a clinically structure-unaligned paired data set. January 15, 2024
Radiology MLNAN: Multi-level noise-aware network for low-dose CT imaging implemented with constrained cycle Wasserstein generative adversarial networks. September 6, 2023
Oncology | Radiology A deep learning model based on the attention mechanism for automatic segmentation of abdominal muscle and fat for body composition assessment. March 14, 2023
Medical Imaging | Radiology Segmentation-guided Denoising Network for Low-dose CT Imaging. November 5, 2022
Medical Imaging | Radiology Improved GAN: Using a transformer module generator approach for material decomposition. August 27, 2022
Pathology | Radiology Does a Deep Learning-Based Computer-Assisted Diagnosis System Outperform Conventional Double Reading by Radiologists in Distinguishing Benign and Malignant Lung Nodules? November 9, 2020
Radiology Evaluating the performance of a deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists. February 16, 2019