49 citations · 192 across the 44 of their papers we have counts for
11 papers · 1 filter
Speckle2Self: Self-Supervised Ultrasound Speckle Reduction Without Clean Data
Xuesong Li, Nassir Navab, Zhongliang Jiang
Image denoising is a fundamental task in computer vision, particularly in medical ultrasound (US) imaging, where speckle noise significantly degrades image quality. Although recent…
FB-Diff: Fourier Basis-guided Diffusion for Temporal Interpolation of 4D Medical Imaging
Xin You, Runze Yang, Chuyan Zhang +3
The temporal interpolation task for 4D medical imaging, plays a crucial role in clinical practice of respiratory motion modeling. Following the simplified linear-motion hypothesis,…
Synomaly Noise and Multi-Stage Diffusion: A Novel Approach for Unsupervised Anomaly Detection in Medical Images
Yuan Bi, Lucie Huang, Ricarda Clarenbach +4
Anomaly detection in medical imaging plays a crucial role in identifying pathological regions across various imaging modalities, such as brain MRI, liver CT, and carotid ultrasound…
VibNet: Vibration-Boosted Needle Detection in Ultrasound Images
Dianye Huang, Chenyang Li, Angelos Karlas +4
Precise percutaneous needle detection is crucial for ultrasound (US)-guided interventions. However, inherent limitations such as speckles, needle-like artifacts, and low resolution…
DefCor-Net: Physics-Aware Ultrasound Deformation Correction
Zhongliang Jiang, Yue Zhou, Dongliang Cao +1
The recovery of morphologically accurate anatomical images from deformed ones is challenging in ultrasound (US) image acquisition, but crucial to accurate and consistent diagnosis,…
Thoracic Cartilage Ultrasound-CT Registration using Dense Skeleton Graph
Zhongliang Jiang, Chenyang Li, Xuesong Li +1
Autonomous ultrasound (US) imaging has gained increased interest recently, and it has been seen as a potential solution to overcome the limitations of free-hand US examinations, su…
Motion Magnification in Robotic Sonography: Enabling Pulsation-Aware Artery Segmentation
Dianye Huang, Yuan Bi, Nassir Navab +1
Ultrasound (US) imaging is widely used for diagnosing and monitoring arterial diseases, mainly due to the advantages of being non-invasive, radiation-free, and real-time. In order…
Skeleton Graph-based Ultrasound-CT Non-rigid Registration
Zhongliang Jiang, Xuesong Li, Chenyu Zhang +3
Autonomous ultrasound (US) scanning has attracted increased attention, and it has been seen as a potential solution to overcome the limitations of conventional US examinations, suc…
MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization
Yuan Bi, Zhongliang Jiang, Ricarda Clarenbach +3
Generalization capabilities of learning-based medical image segmentation across domains are currently limited by the performance degradation caused by the domain shift, particularl…
VesNet-RL: Simulation-based Reinforcement Learning for Real-World US Probe Navigation
Yuan Bi, Zhongliang Jiang, Yuan Gao +3
Ultrasound (US) is one of the most common medical imaging modalities since it is radiation-free, low-cost, and real-time. In freehand US examinations, sonographers often navigate a…
Deformation-Aware Robotic 3D Ultrasound
Zhongliang Jiang, Yue Zhou, Yuan Bi +3
Tissue deformation in ultrasound (US) imaging leads to geometrical errors when measuring tissues due to the pressure exerted by probes. Such deformation has an even larger effect o…