Workshop on Robust AI for Healthcare (RAH)
June 30th, from 09:30 AM to 1:00 PM | Rome, Italy
June 30th, from 09:30 AM to 1:00 PM | Rome, Italy
IJCNN is the premier international conference in the area of neural networks theory, analysis and applications. Since its inception, IJCNN has been playing a leading role in promoting and facilitating interaction among researchers and practitioners, and dissemination of knowledge in neural networks and related facets of machine learning. And Rome with its history and geographical position will further contribute to grow and maintain the role of the IJCNN as a prominent platform for exchange of knowledge in neural networks and artificial intelligence.
IJCNN 2025 will be held in the year and the city of the Jubilee, making it an even more special occasion. Hosted at the Pontifical Gregorian University, just a coin's throw from the iconic Trevi Fountain, attendees will have the unique opportunity to experience Rome's rich history and culture. The Eternal City will serve as an open-air museum, providing an inspiring backdrop for our discussions and networking.
The workshop “Robust AI in Healthcare” aligns with IJCNN’s mission to advance neural network research with meaningful practical applications. Focusing on robustness, this workshop explores strategies to ensure safe, reliable, and efficient AI models in healthcare. The workshop will help to bridge the gap between theoretical advances and practical implementation significantly. The workshop will also feature discussions among clinicians, data scientists, and AI researchers to address real-world implementation challenges. Your contributions are critical to improving AI systems in healthcare. We look forward to welcoming you to Rome.
Prof. Despina Kontos: Professor of Radiological Sciences (in Radiology) and of Biomedical Informatics, Columbia University Irving Medical Center, USA.
Associate Prof. Seyedmehdi Payabvash: Department of Radiology at Columbia University Irving Medical Center, USA.
Assistant Professor Dr. Junhao (Hao) Wen: Assistant Professor of Radiological Sciences, Columbia University Irving Medical Center, USA.
Associate Research Scientist Dr. Anh Tuan Tran: Department of Radiology at Columbia University Irving Medical Center, USA.
We invite submissions on any aspect of Robust AI in Healthcare. We welcome research contributions related to the following (but not limited to) topics: Models, Strategies improving robustness; Adversarial techniques; Advanced optimization; Learning; Interpretability; Uncertainty.
Prospective authors are invited to submit complete papers of no more than eight (8) pages in the conference proceedings format, according to the IJCNN Paper Submission Guidelines. Papers must be submitted through the IJCNN 2025 CMT System and will undergo the same rigorous evaluation process as regular papers.
Instruction and Submit Your PaperFor inquiries, please contact: Anh Tran at at4049@cumc.columbia.edu.
Information of workshop in IJCNN conference: https://2025.ijcnn.org/program/workshops