research
∙
07/03/2023
OpenClinicalAI: An Open and Dynamic Model for Alzheimer's Disease Diagnosis
Although Alzheimer's disease (AD) cannot be reversed or cured, timely di...
share
research
∙
07/03/2023
OpenAPMax: Abnormal Patterns-based Model for Real-World Alzheimer's Disease Diagnosis
Alzheimer's disease (AD) cannot be reversed, but early diagnosis will si...
research
∙
09/09/2021
OpenClinicalAI: enabling AI to diagnose diseases in real-world clinical settings
This paper quantitatively reveals the state-of-the-art and state-of-the-...
research
∙
08/17/2020
An Isolated Data Island Benchmark Suite for Federated Learning
Federated learning (FL) is a new machine learning paradigm, the goal of ...
research
∙
08/06/2019
Edge AIBench: Towards Comprehensive End-to-end Edge Computing Benchmarking
In edge computing scenarios, the distribution of data and collaboration ...
research
∙
08/01/2019
LoadCNN: A Efficient Green Deep Learning Model for Day-ahead Individual Resident Load Forecasting
Accurate day-ahead individual resident load forecasting is very importan...
research
∙
06/01/2019
A Semantic-based Medical Image Fusion Approach
It is necessary for clinicians to comprehensively analyze patient inform...
research
∙
05/08/2019
A new direction to promote the implementation of artificial intelligence in natural clinical settings
Artificial intelligence (AI) researchers claim that they have made great...
research
∙
01/03/2019
Landscape of Big Medical Data: A Pragmatic Survey on Prioritized Tasks
Big medical data poses great challenges to life scientists, clinicians, ...
research
∙
11/26/2018
Clustering Residential Electricity Load Curves via Community Detection in Network
Performing analytic of household load curves (LCs) has significant value...
research
∙
02/10/2018
