130 citations · 212 across the 36 of their papers we have counts for
38 papers
Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion
Meng Zheng, Benjamin Planche, Xuan Gong +3
3D patient body modeling is critical to the success of automated patient positioning for smart medical scanning and operating rooms. Existing CNN-based end-to-end patient modeling…
Disguise without Disruption: Utility-Preserving Face De-Identification
Zikui Cai, Zhongpai Gao, Benjamin Planche +4
With the rise of cameras and smart sensors, humanity generates an exponential amount of data. This valuable information, including underrepresented cases like AI in medical setting…
Exploring Cycle Consistency Learning in Interactive Volume Segmentation
Qin Liu, Meng Zheng, Benjamin Planche +4
Automatic medical volume segmentation often lacks clinical accuracy, necessitating further refinement. In this work, we interactively approach medical volume segmentation via two d…
An Unsupervised Framework for Joint MRI Super Resolution and Gibbs Artifact Removal
Yikang Liu, Eric Z. Chen, Xiao Chen +2
The k-space data generated from magnetic resonance imaging (MRI) is only a finite sampling of underlying signals. Therefore, MRI images often suffer from low spatial resolution and…
Holistic Multi-Slice Framework for Dynamic Simultaneous Multi-Slice MRI Reconstruction
Daniel H. Pak, Xiao Chen, Eric Z. Chen +3
Dynamic Magnetic Resonance Imaging (dMRI) is widely used to assess various cardiac conditions such as cardiac motion and blood flow. To accelerate MR acquisition, techniques such a…
Computationally Efficient 3D MRI Reconstruction with Adaptive MLP
Eric Z. Chen, Chi Zhang, Xiao Chen +3
Compared with 2D MRI, 3D MRI provides superior volumetric spatial resolution and signal-to-noise ratio. However, it is more challenging to reconstruct 3D MRI images. Current method…