59 citations · 68 across the 6 of their papers we have counts for
6 papers
MURPHY: Relations Matter in Surgical Workflow Analysis
Shang Zhao, Yanzhe Liu, Qiyuan Wang +3
Autonomous robotic surgery has advanced significantly based on analysis of visual and temporal cues in surgical workflow, but relational cues from domain knowledge remain under inv…
Which images to label for few-shot medical landmark detection?
Quan Quan, Qingsong Yao, Jun Li +1
The success of deep learning methods relies on the availability of well-labeled large-scale datasets. However, for medical images, annotating such abundant training data often requ…
GAN-based disentanglement learning for chest X-ray rib suppression
Luyi Han, Yuanyuan Lyu, Cheng Peng +1
Clinical evidence has shown that rib-suppressed chest X-rays (CXRs) can improve the reliability of pulmonary disease diagnosis. However, previous approaches on generating rib-suppr…
Universal Undersampled MRI Reconstruction
Xinwen Liu, Jing Wang, Feng Liu +1
Deep neural networks have been extensively studied for undersampled MRI reconstruction. While achieving state-of-the-art performance, they are trained and deployed specifically for…
You Only Learn Once: Universal Anatomical Landmark Detection
Heqin Zhu, Qingsong Yao, Li Xiao +1
Detecting anatomical landmarks in medical images plays an essential role in understanding the anatomy and planning automated processing. In recent years, a variety of deep neural n…
One-to-one Mapping for Unpaired Image-to-image Translation
Zengming Shen, S. Kevin Zhou, Yifan Chen +3
Recently image-to-image translation has attracted significant interests in the literature, starting from the successful use of the generative adversarial network (GAN), to the intr…