output
20172020
most citedVolumetric Attention for 3D Medical Image Segmentation and Detection

62 citations

6 papers

eess.IV2020★ 62 cited

Volumetric Attention for 3D Medical Image Segmentation and Detection

Xudong Wang, Shizhong Han, Yunqiang Chen +2

A volumetric attention(VA) module for 3D medical image segmentation and detection is proposed. VA attention is inspired by recent advances in video processing, enables 2.5D network…

cs.CV2020★ 1 cited

Outlier Guided Optimization of Abdominal Segmentation

Yuchen Xu, Olivia Tang, Yucheng Tang +9

Abdominal multi-organ segmentation of computed tomography (CT) images has been the subject of extensive research interest. It presents a substantial challenge in medical image proc…

eess.IV2019★ 24 cited

Stochastic tissue window normalization of deep learning on computed tomography

Yuankai Huo, Yucheng Tang, Yunqiang Chen +8

Tissue window filtering has been widely used in deep learning for computed tomography (CT) image analyses to improve training performance (e.g., soft tissue windows for abdominal C…

eess.IV2019★ 3 cited

Contrast Phase Classification with a Generative Adversarial Network

Yucheng Tang, Ho Hin Lee, Yuchen Xu +10

Dynamic contrast enhanced computed tomography (CT) is an imaging technique that provides critical information on the relationship of vascular structure and dynamics in the context…

cs.CV2019★ 8 cited

Feature-level and Model-level Audiovisual Fusion for Emotion Recognition in the Wild

Jie Cai, Zibo Meng, Ahmed Shehab Khan +6

Emotion recognition plays an important role in human-computer interaction (HCI) and has been extensively studied for decades. Although tremendous improvements have been achieved fo…

cs.CV2017

Improving Speech Related Facial Action Unit Recognition by Audiovisual Information Fusion

Zibo Meng, Shizhong Han, Ping Liu +1

It is challenging to recognize facial action unit (AU) from spontaneous facial displays, especially when they are accompanied by speech. The major reason is that the information is…