Cardiology | Radiology TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction. May 31, 2024
Nuclear Medicine | Radiology Population-based deep image prior for dynamic PET denoising: A data-driven approach to improve parametric quantification. April 24, 2024
Nuclear Medicine | Radiology Generation of Whole-Body FDG Parametric Images from Static PET Images Using Deep Learning. November 24, 2023
Nuclear Medicine | Radiology FedFTN: Personalized federated learning with deep feature transformation network for multi-institutional low-count PET denoising. October 12, 2023
Medical Imaging | Radiology Federated Transfer Learning for Low-dose PET Denoising: A Pilot Study with Simulated Heterogeneous Data. October 4, 2023
Cardiology | Radiology Deep-Learning-Based Few-Angle Cardiac SPECT Reconstruction Using Transformer. July 3, 2023
Cardiology | Radiology DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT. May 22, 2023
Cardiology | Nuclear Medicine Segmentation-free PVC for Cardiac SPECT using a Densely-connected Multi-dimensional Dynamic Network. December 2, 2022
Cardiology | Radiology DuDoSS: Deep-Learning-Based Dual-Domain sinogram synthesis from Sparsely-sampled projections of cardiac SPECT. September 1, 2022
Nuclear Cardiology | Radiology Increasing angular sampling through deep learning for stationary cardiac SPECT image reconstruction. May 4, 2022
Nuclear Medicine | Radiology Direct and indirect strategies of deep-learning-based attenuation correction for general purpose and dedicated cardiac SPECT. February 16, 2022
Radiology Deep Efficient End-to-end Reconstruction (DEER) Network for Few-view Breast CT Image Reconstruction. November 30, 2020