7 citations · 11 across the 4 of their papers we have counts for
4 papers
Deep Learning for Semantic Segmentation of 3D Ultrasound Data
Chenyu Liu, Marco Cecotti, Harikrishnan Vijayakumar +3
Developing cost-efficient and reliable perception systems remains a central challenge for automated vehicles. LiDAR and camera-based systems dominate, yet they present trade-offs i…
Multi-stream Cell Segmentation with Low-level Cues for Multi-modality Images
Wei Lou, Xinyi Yu, Chenyu Liu +4
Cell segmentation for multi-modal microscopy images remains a challenge due to the complex textures, patterns, and cell shapes in these images. To tackle the problem, we first deve…
Brain Tumor Segmentation Network Using Attention-based Fusion and Spatial Relationship Constraint
Chenyu Liu, Wangbin Ding, Lei Li +4
Delineating the brain tumor from magnetic resonance (MR) images is critical for the treatment of gliomas. However, automatic delineation is challenging due to the complex appearanc…
Multi-Modality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images
Zhen Zhang, Chenyu Liu, Wangbin Ding +4
Multi-sequence of cardiac magnetic resonance (CMR) images can provide complementary information for myocardial pathology (scar and edema). However, it is still challenging to fuse…