activity
20172024
most citedLearning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis

130 citations · 212 across the 36 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CV2023

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…

cs.CV2023

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…

eess.IV2023

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…

eess.IV2023

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…

eess.IV2023

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…