Neurology | Radiology Quantitative Susceptibility Mapping through Model-based Deep Image Prior (MoDIP). March 30, 2024
Neurology | Radiology Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks. March 29, 2024
Oncology | Radiology MM-SFENet: multi-scale multi-task localization and classification of bladder cancer in MRI with spatial feature encoder network. December 13, 2023
Hematology | Oncology | Radiology CT-based deep learning radiomics and hematological biomarkers in the assessment of pathological complete response to neoadjuvant chemoradiotherapy in patients with esophageal squamous cell carcinoma: A two-center study. October 15, 2023
Radiation Oncology | Radiology Distortion-corrected image reconstruction with deep learning on an MRI-Linac. May 1, 2023
Radiology Affine Transformation Edited and Refined Deep Neural Network for Quantitative Susceptibility Mapping. December 31, 2022
Neurology | Radiology BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources. September 5, 2022
Neurology | Radiology Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks. June 26, 2022
Medical Imaging | Neurology | Radiology Deep grey matter quantitative susceptibility mapping from small spatial coverages using deep learning. July 27, 2021
Radiology On the regularization of feature fusion and mapping for fast MR multi-contrast imaging via iterative networks. January 5, 2021
Neurology | Radiology xQSM: quantitative susceptibility mapping with octave convolutional and noise-regularized neural networks. December 28, 2020