Radiology Improving Automated Hemorrhage Detection in Sparse-view CT via U-Net-based Artifact Reduction. May 8, 2024
Dermatology | Plastic Surgery | Radiology Artifact reduction in photoacoustic images by generating virtual dense array sensor from hemispheric sparse array sensor using deep learning. March 14, 2024
Orthopedics | Radiology Managing hardware-related metal artifacts in MRI: current and evolving techniques. February 21, 2024
Biomedical Engineering | Medical Imaging | Radiology A model-based direct inversion network (MDIN) for dual spectral computed tomography. January 25, 2024
Radiology Sparse2Noise: Low-dose synchrotron X-ray tomography without high-quality reference data. September 10, 2023
Medical Physics | Radiology Image quality improvement in bowtie-filter-equipped cone-beam CT using a dual-domain neural network. September 5, 2023
Neurology | Radiology [A multi-channel input convolutional neural network for artifact reduction in quantitative susceptibility mapping]. January 18, 2023
Medical Physics | Radiology Deep learning-based motion compensation for four-dimensional cone-beam computed tomography (4D-CBCT) reconstruction. November 22, 2022
Radiology Feasibility of Deep Learning-Based Noise and Artifact Reduction in Coronal Reformation of Contrast-Enhanced Chest Computed Tomography. May 26, 2022
Image processing | Radiology Novel U-net based deep neural networks for transmission tomography. November 22, 2021
Radiology Efficient high cone-angle artifact reduction in circular cone-beam CT using deep learning with geometry-aware dimension reduction. June 9, 2021