IEEE ComSoc Twin Chapter Program 2026 (TwCP2026): Technical Webinar on The Evolution of AI in Medical Imaging

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Organized by: IEEE ComSoc Bahrain Chapter & IEEE ComSoc Tunisia Chapter
Date: Wednesday, 16 September 2026
Time: 17:00–19:00 GMT+3 (Bahrain) | 15:00–17:00 GMT+1 (Tunisia)
Location: Online Technical Webinar (Zoom)
Registration Link: Access to the live webinar is open upon registration. Scan the QR code in the flyer or register via Zoom: Click to Register
 

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Hela

Topic:

The Evolution of AI in Medical Imaging

Artificial intelligence has significantly changed medical imaging, moving from deep learning pipelines based on preprocessing, segmentation, and classification to newer foundation and multimodal models. This webinar presents the evolution of AI in medical imaging, examining pipelines for cancerous and non-cancerous abnormalities, imaging modalities, data preparation, segmentation, classification, and model selection. Key topics include emerging AI approaches such as Vision Transformers, Vision-Language Models, Large Language Models, Mamba-based State Space Models, and fuzzy learning, highlighting their capacity to learn image representations, process multimodal information, reduce computational costs, and handle uncertainty for clinically relevant AI systems.
 

Talk Value: This talk offers a clear roadmap of AI’s transformation in medical imaging—from task-specific deep learning to foundation and multimodal models. Participants will gain practical insight into emerging architectures, uncertainty, efficiency, and clinical translation, enabling them to critically evaluate today’s AI approaches and anticipate the technologies shaping the future of precision imaging.

Biography:

Dr. Eng. Hela Mahersia is an Associate Professor in the Department of Computer Science at the Faculty of Science of Bizerte, University of Carthage, Tunisia, and a researcher at the Artificial Intelligence, Data Engineering, and Applications (IDEA) Laboratory. She obtained her Engineering Diploma from the National Engineering School of Monastir (ENIM), and her Master’s and PhD degrees, as well as her Accreditation to Supervise Research, from the National Engineering School of Tunis, University of Tunis El Manar. She has published more than 40 research papers in prestigious international journals and conference proceedings.

Her research interests include Image Processing, Pattern Recognition, Artificial Intelligence, and Machine Learning, with a particular focus on texture analysis, emotion understanding, and medical imaging. Her research focuses on emerging AI technologies, particularly multimodal and agentic AI approaches, with the aim of developing intelligent systems for visual understanding, multimodal analysis, and decision-making.