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 MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET. March 11, 2024
Nuclear Medicine | Radiology A Review on Low-Dose Emission Tomography Post-Reconstruction Denoising with Neural Network Approaches. February 5, 2024
Nuclear Medicine | Radiology Deep-learning-based methods of attenuation correction for SPECT and PET. January 20, 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
Biomedical imaging | Nuclear Medicine | Radiology MCP-Net: Introducing Patlak Loss Optimization to Whole-body Dynamic PET Inter-frame Motion Correction. June 27, 2023
Nuclear Medicine | Radiology PET Image Denoising using a Deep-Learning Method for Extremely Obese Patients. June 7, 2023
Cardiology | Radiology DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT. May 22, 2023