160 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National University of SingaporeSG17 papers
- Duke-NUS Medical SchoolSG16 papers
- Duke UniversityUS13 papers
- SingHealthSG11 papers
- Agency for Science, Technology and ResearchSG6 papers
- Institute of Data ScienceSG6 papers
- Nanyang Technological UniversitySG5 papers
- Institute of High Performance ComputingSG4 papers
- Imperial College LondonGB3 papers
- Institute for Infocomm ResearchSG3 papers
- Columbia UniversityUS2 papers
- Data Storage InstituteSG2 papers
6 papers · 1 filter
Airborne dispersion of droplets during coughing: a physical model of viral transmission
Hongying Li, Fong Yew Leong, George Xu +4
The Covid-19 pandemic has focused attention on airborne transmission of viruses. Using realistic air flow simulation, we model droplet dispersion from coughing and study the transm…
Learning and Reasoning with the Graph Structure Representation in Robotic Surgery
Mobarakol Islam, Lalithkumar Seenivasan, Lim Chwee Ming +1
Learning to infer graph representations and performing spatial reasoning in a complex surgical environment can play a vital role in surgical scene understanding in robotic surgery.…
Modeling Helping Behavior in Emergency Evacuations Using Volunteer's Dilemma Game
Jaeyoung Kwak, Michael H Lees, Wentong Cai +1
People often help others who are in trouble, especially in emergency evacuation situations. For instance, during the 2005 London bombings, it was reported that evacuees helped inju…
Estimating horizontal movement performance of patient beds and the impact on emergency evacuation time
Jaeyoung Kwak, Michael H. Lees, Wentong Cai +2
Emergency evacuation of patients from a hospital can be challenging in the event of a fire. Most emergency evacuation studies are based on the assumption that pedestrians are ambul…
Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma
Kaixin Xu, Ziyuan Zhao, Jiapan Gu +5
Gene mutation prediction in hepatocellular carcinoma (HCC) is of great diagnostic and prognostic value for personalized treatments and precision medicine. In this paper, we tackle…
Multi-Phase Cross-modal Learning for Noninvasive Gene Mutation Prediction in Hepatocellular Carcinoma
Jiapan Gu, Ziyuan Zhao, Zeng Zeng +10
Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and the fourth most common cause of cancer-related death worldwide. Understanding the underlying gene…