most citedPatient similarity: methods and applications

7 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2023★ 1 cited

Attention Schema in Neural Agents

Dianbo Liu, Samuele Bolotta, He Zhu +2

Attention has become a common ingredient in deep learning architectures. It adds a dynamical selection of information on top of the static selection of information supported by wei…

cs.AI2020

FakeSafe: Human Level Data Protection by Disinformation Mapping using Cycle-consistent Adversarial Network

He Zhu, Dianbo Liu

The concept of disinformation is to use fake messages to confuse people in order to protect the real information. This strategy can be adapted into data science to protect valuable…

eess.IV2020★ 5 cited

Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation

Yichi Zhang, Qingcheng Liao, Lin Yuan +3

The novel Coronavirus disease (COVID-19) is a highly contagious virus and has spread all over the world, posing an extremely serious threat to all countries. Automatic lung infecti…

cs.LG2020★ 7 cited

Patient similarity: methods and applications

Leyu Dai, He Zhu, Dianbo Liu

Patient similarity analysis is important in health care applications. It takes patient information such as their electronic medical records and genetic data as input and computes t…

cs.CY2020★ 2 cited

Federated machine learning with Anonymous Random Hybridization (FeARH) on medical records

Jianfei Cui, He Zhu, Hao Deng +2

Sometimes electrical medical records are restricted and difficult to centralize for machine learning, which could only be trained in distributed manner that involved many instituti…