Neurology | Radiology Accurate Whole-Brain Image Enhancement for Low-Dose Integrated PET/MR Imaging Through Spatial Brain Transformation. May 30, 2024
Nuclear Medicine | Radiology Learning CT-free attenuation-corrected total-body PET images through deep learning. February 15, 2024
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
Oncology | Radiology Few-shot segmentation framework for lung nodules via an optimized active contour model. January 8, 2024
Medical Imaging | Nuclear Medicine | Radiology OIF-Net: An Optical Flow Registration-Based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image Denoising. December 14, 2023
Nuclear Medicine | Radiology Combining deep learning with a kinetic model to predict dynamic PET images and generate parametric images. October 24, 2023
Radiology MLNAN: Multi-level noise-aware network for low-dose CT imaging implemented with constrained cycle Wasserstein generative adversarial networks. September 6, 2023
Nuclear Medicine | Radiology Short-axis PET image quality improvement based on a uEXPLORER total-body PET system through deep learning. September 6, 2023
Neurology | Radiology Automatic brain structure segmentation for F-fluorodeoxyglucose positron emission tomography/magnetic resonance images via deep learning. July 17, 2023
Nuclear Medicine | Radiology Deep Generalized Learning Model for PET Image Reconstruction. July 10, 2023
Nuclear Medicine | Radiology Feasibility of a deep learning algorithm to achieve the low-dose Ga-FAPI/the fast-scan PET images: a multicenter study. July 2, 2023
Nuclear Medicine | Radiology A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement. April 8, 2023