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AIPM Lab, located at the School of Artificial Intelligence, Guilin University of Electronic Technology, aims to develop the next generation of AI for healthcare. We specifically focus on radiomic analysis to improve the diagnosis of clinical tasks. We work closely with the LIVIA at Ecole de Technologie Superieure and Lady Davis Institute for medical research at McGill University, Montreal, Canada.
The research at the AIPM Lab focuses on the main fields: Radiomics analysis, XAI, Domain adaptation and federated learning.
Texture analysis
Information flow
Neuro-Imaging
Neuro-Imaging
Cancer Imaging
Cancer Imaging
Projects/grants
2023/01-2026/12
NSFC: Regional Science Foundation Project (National grant)
PI: Chaddad A.
Collaborators: Ismail Ben Ayed, Christian Desrosiers and Ahmed Bouridane
Title: An interpretable deep radiomics model for personalized treatment of brain tumors
Approved budget: 330.000 RMB
Country: China
2023/01-2024/12
Guangxi Science and Technology Base and Talent Project: The introduction of high-level talents at home and abroad
PI: Chaddad A.
Title: AI-based personalized treatment of COVID-19 patients.
Approved budget: 190.000 RMB
Country: China
2023/01-2025/12
Guangxi Science and Technology Base and Talent Project: Young scientific and technological innovation talents
PI: Chaddad A.
Title: Radiomics analysis of brain tumors
Approved budget: 100.000 RMB
Country: China
2021/01-2022/12
Foreign Young Talents Program (National grant)
PI: Chaddad A.
Title: Radiomics analysis for predicting Autism Spectrum Disorder.
Requested budget: 300.000 RMB
Country: China
2020/01-2021/01
Foreign Young Talents Program (National grant)
PI: Chaddad A.
Title: Deep radiomic models for the personalized management of prostate cancer.
Requested budget: 150.000 RMB
Status: approved
Country: China
2021-2023
Research Nova Scotia; ACURA
PI: Kucharczyk MJ.
Co-Investigators: Chaddad A. , Clarke S., Rendon R., Beyea S., Mason R., Bowen C. & Matheson K.
Title: Can Magnetic Resonance Imaging of the Prostate combined with a Radiomics Evaluation Determine the Invasive Capacity of a Tumour (Can MRI-PREDICT).
Project ID: RNS-NHIG-2020-1384
Requested budget: $97.680 CAD.
Status: approved
Country: Canada
2021-2024
Guilin University of Electronic Technology
PI: Chaddad A.
Title: Artificial intelligence for personalized medicine.
Requested budget: 200.000 RMB.
Status: approved
Country: China
Guilin University of Electronic Technology
PI: Chaddad A.
Research platform services
Requested budget: 300.000 RMB.
Status: approved
Country: China
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