Publication![]() OCCMNet: Occlusion-Aware Class Characteristic Mining Network for multi-class artifacts detection in endoscopy
Medical & Biological Engineering & Computing 1-16, 2025 ![]() Cardiac Physiology Knowledge-Driven Diffusion Model for Contrast-Free Synthesis Myocardial Infarction Enhancement
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) pp. 200-210, 2024 ![]() Prediction of Freezing of Gait in Parkinson’s disease based on multi-channel time-series neural network
Artificial Intelligence in Medicine 154, 102932, 2024 ![]() Accurate segmentation of liver tumor from multi-modality non-contrast images using a dual-stream multi-level fusion framework
Computerized Medical Imaging and Graphics 116, 102414, 2024 ![]() Deep Generative Adversarial Reinforcement Learning for Semi-Supervised Segmentation of Low-Contrast and Small Objects in Medical Images
IEEE Transactions on Medical Imaging 43, 9, pp. 3072-3084, 2024 ![]() Deep learning for diagnosis of chronic myocardial infarction on nonenhanced cardiac cine MRI.
Radiology 291 (3), 606-617 [Link] ![]() Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture.
Medical image analysis 50, 82-94 [Link] ![]() Contrast agent-free synthesis and segmentation of ischemic heart disease images using progressive sequential causal GANs.
Medical image analysis 62, 101668 [Link] ![]() Segmentation and quantification of infarction without contrast agents via spatiotemporal generative adversarial learning.
Medical image analysis 59, 101568 [Link] ![]() Complexity analysis of electroencephalogram dynamics in patients with Parkinson’s disease.
Parkinson’s Disease 2017 [Link] ![]() Direct detection of pixel-level myocardial infarction areas via a deep-learning algorithm.
Medical Image Computing and Computer Assisted Intervention -MICCAI 2017 [Link] ![]() MuTGAN: simultaneous segmentation and quantification of myocardial infarction without contrast agents via joint adversarial learning.
Medical Image Computing and Computer Assisted Intervention –MICCAI 2018 [Link] ![]() Synthesis of gadolinium-enhanced liver tumors on nonenhanced liver MR images using pixel-level graph reinforcement learning.
Medical image analysis 69, 101976 [Link] ![]() Beat-to-beat blood pressure and two-dimensional (axial and radial) motion of the carotid artery wall: physiological evaluation of arterial stiffness.
Scientific reports 7 (1), 42254 [Link] ![]() Video salient object detection using dual-stream spatiotemporal attention.
Applied Soft Computing 108, 107433 [Link] |