Multimodal medical images provide abundant and complementary diagnostic cues that are often indispensable for accurate clinical decision-making. However, various constraints, such as limited equipment availability, physical limitations of patients, etc. often lead to incomplete modality of medical data acquisition in t...
Jing Li, Qin-Kai Yu, Fei-Xiang Zhou et al.· Medical Image Analysis· 0 citations
Optical coherence tomography angiography (OCTA) provides high-resolution visualization of fundus microvasculature and plays a crucial role in the diagnosis of fundus diseases. However, in real-world clinical practice, variations in imaging devices and acquisition protocols across centers lead to pronounced heterogeneit...
Huaying Hao, Jian-Li Wei, Quan-Yong Yi et al.· IEEE journal of biomedical a...· 0 citations
This paper proposes a frequency-aware dual-domain collaborative framework for medical image enhancement, termed FDRNet, comprising two key components: a frequency-decoupled deblurring module with asymmetric channel integration, which combines global and local views using high- and low-frequency information to preserve...
Wei-Cheng Liao, Yu-Hui Ma, Zan Chen et al.· Medical Image Analysis· 0 citations
Since the discovery of the X-ray radiation by Wilhelm Conrad Roentgen in 1895, the field of medical imaging has developed into a huge scientific discipline. The analysis of patient data acquired by current image modalities, such as computerized tomography (CT), magnetic resonance tomography (MRT), positron emission tom...
Lei Mou, Yitian Zhao, H. Fu et al.· IEEE Pulse· 397 citations· ⚡29
Since the discovery of the X-ray radiation by Wilhelm Conrad Roentgen in 1895, the field of medical imaging has developed into a huge scientific discipline. The analysis of patient data acquired by current image modalities, such as computerized tomography (CT), magnetic resonance tomography (MRT), positron emission tom...
Lei Mou, Yitian Zhao, H. Fu et al.· IEEE Pulse· 398 citations· ⚡29
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