216 citations · 560 across the 31 of their papers we have counts for
9 papers · 1 filter
Safety-centric and Smart Outdoor Workplace: A New Research Direction and Its Technical Challenges
Zheng Li, Mauricio Pradena Miquel, Pedro Pinacho-Davidson
Despite the fact that outside is becoming the frontier of indoor workplaces, a large amount of real-world work like road construction has to be done by outdoor human activities in…
APAUNet: Axis Projection Attention UNet for Small Target in 3D Medical Segmentation
Yuncheng Jiang, Zixun Zhang, Shixi Qin +3
In 3D medical image segmentation, small targets segmentation is crucial for diagnosis but still faces challenges. In this paper, we propose the Axis Projection Attention UNet, name…
Identification of the decay pathway of photoexcited nucleobases
Xiangxu Mu, Ming Zhang, Jiechao Feng +6
The identification of the decay pathway of the nucleobase uracil after being photoexcited by ultraviolet (UV) light has been a long standing problem. Various theoretical models hav…
Towards Reproducible Evaluations for Flying Drone Controllers in Virtual Environments
Zheng Li, Yiming Huang, Yui-Pan Yau +2
Research attention on natural user interfaces (NUIs) for drone flights are rising. Nevertheless, NUIs are highly diversified, and primarily evaluated by different physical environm…
Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency
Weijie Ma, Ye Zhu, Ruimao Zhang +4
The colorectal polyps classification is a critical clinical examination. To improve the classification accuracy, most computer-aided diagnosis algorithms recognize colorectal polyp…
A Unified Understanding of Deep NLP Models for Text Classification
Zhen Li, Xiting Wang, Weikai Yang +6
The rapid development of deep natural language processing (NLP) models for text classification has led to an urgent need for a unified understanding of these models proposed indivi…
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency
Jie Yang, Ye Zhu, Chaoqun Wang +2
Integrating multi-modal data to promote medical image analysis has recently gained great attention. This paper presents a novel scheme to learn the mutual benefits of different mod…
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
Yuanfeng Ji, Haotian Bai, Jie Yang +8
Despite the considerable progress in automatic abdominal multi-organ segmentation from CT/MRI scans in recent years, a comprehensive evaluation of the models' capabilities is hampe…
Graph Enhanced Contrastive Learning for Radiology Findings Summarization
Jinpeng Hu, Zhuo Li, Zhihong Chen +3
The impression section of a radiology report summarizes the most prominent observation from the findings section and is the most important section for radiologists to communicate t…