Updated on 14 May 2025
Delineation of glioblastoma tumor margins based on MRI images, using Deep learning
About
Study disease extent (in the context of neurosurgery) and correlation between imaging and clinical data (disease progression, regression, etc.) with AI approaches. The genAI paradigm is needed for multi-modality input processing and switching between modalities / supplementing missing sequence type (e.g., FLAIR), for some patients in the dataset.
Topic
- Cluster Health (CL1): HORIZON-HLTH-2025-03-DISEASE-02-two-stage: Advancing innovative interventions for mental, behavioural and neurodevelopmental disorders
- Cancer Mission: HORIZON-MISS-2025-02-CANCER-02: Understanding the effects of environmental exposure on the risk of paediatric, adolescent and young adult cancers
- Cluster Health (CL1): HORIZON-HLTH-2025-01-CARE-01: End user-driven application of Generative Artificial Intelligence models in healthcare (GenAI4EU)
- Cluster Health (CL1): HORIZON-HLTH-2025-01-TOOL-03: Leveraging multimodal data to advance Generative Artificial Intelligence applicability in biomedical research (GenAI4EU)
Type
- Consortium/Coordinator seeks Partners
- Partner seeks Consortium/Coordinator
Organisation
Similar opportunities
Project cooperation
- Partner seeks Consortium/Coordinator
- Consortium/Coordinator seeks Partners
- Cluster Health (CL1): HORIZON-HLTH-2025-01-DISEASE-04: Leveraging artificial intelligence for pandemic preparedness and response
- Cluster Health (CL1): HORIZON-HLTH-2025-01-CARE-01: End user-driven application of Generative Artificial Intelligence models in healthcare (GenAI4EU)
- Cancer Mission: HORIZON-MISS-2025-02-CANCER-02: Understanding the effects of environmental exposure on the risk of paediatric, adolescent and young adult cancers
- Cluster Health (CL1): HORIZON-HLTH-2025-01-TOOL-03: Leveraging multimodal data to advance Generative Artificial Intelligence applicability in biomedical research (GenAI4EU)
Mahmoud Elfiky
Professor of Surgery and Health NCP for Egypt at Cairo University
Project cooperation
- Partner seeks Consortium/Coordinator
- Cluster Food (CL6): HORIZON-CL6-2025-02-FARM2FORK-12 Nutrition and Mental Health
- Cluster Health (CL1): HORIZON-HLTH-2025-01-DISEASE-04: Leveraging artificial intelligence for pandemic preparedness and response
- Cluster Health (CL1): HORIZON-HLTH-2025-03-ENVHLTH-02-two-stage: Advancing knowledge on the impacts of micro- and nanoplastics on human health
- Cluster Health (CL1): HORIZON-HLTH-2025-01-CARE-01: End user-driven application of Generative Artificial Intelligence models in healthcare (GenAI4EU)
- Cluster Health (CL1): HORIZON-HLTH-2025-03-ENVHLTH-01-two-stage: The impact of pollution on the development and progression of brain diseases and disorders
- Cluster Health (CL1): HORIZON-HLTH-2025-03-STAYHLTH-01-two-stage: Improving the quality of life of persons with intellectual disabilities and their families
- Cluster Health (CL1): HORIZON-HLTH-2025-03-DISEASE-02-two-stage: Advancing innovative interventions for mental, behavioural and neurodevelopmental disorders
- Cancer Mission: HORIZON-MISS-2025-02-CANCER-02: Understanding the effects of environmental exposure on the risk of paediatric, adolescent and young adult cancers
- Cluster Health (CL1): HORIZON-HLTH-2025-01-TOOL-03: Leveraging multimodal data to advance Generative Artificial Intelligence applicability in biomedical research (GenAI4EU)
Diana Žaliaduonytė
Director General of LSMU Kaunas Hospital at Kaunas Hospital of Lithuanian University of Health Sciences
Kaunas, Lithuania
Project cooperation
Enhancing laryngeal pathologies diagnosis with genAI and clinical decision support systems
- Partner seeks Consortium/Coordinator
- Consortium/Coordinator seeks Partners
- Cluster Health (CL1): HORIZON-HLTH-2025-01-CARE-01: End user-driven application of Generative Artificial Intelligence models in healthcare (GenAI4EU)
- Cancer Mission: HORIZON-MISS-2025-02-CANCER-02: Understanding the effects of environmental exposure on the risk of paediatric, adolescent and young adult cancers
- Cluster Health (CL1): HORIZON-HLTH-2025-01-TOOL-03: Leveraging multimodal data to advance Generative Artificial Intelligence applicability in biomedical research (GenAI4EU)
Mikolaj Buchwald
Senior Research Fellow at Poznan Supercomputing and Networking Center
Poznan, Poland