About UsBiomedical Image Computing Lab was established by Prof. Tammy Riklin Raviv. Our lab develops advanced methods in computer vision, deep learning, and computational neuroscience to address fundamental problems in biological, medical, and natural image domains. We are motivated by both theoretical challenges and real-world needs, working at the interface of algorithmic innovation and scientific discovery.
We work across scales — from cellular microscopy to brain imaging and large-scale natural datasets — and address challenges of data quality analysis, domain adaptation, and multimodal fusion, alongside the broader need for transparent and trustworthy AI systems. This involves developing ways to curate and anonymize data, creating models that can adapt across varying sources and conditions, and designing frameworks that integrate heterogeneous information into coherent and context-aware predictions. By combining methodological innovation with application-driven insights, we wish to push the boundaries of what can be achieved in automated image and data analysis.
Our lab conducts research across a diverse range of topics in electrical and computer engineering, with a particular focus on signal processing. Projects in the lab explore both theoretical foundations and practical applications, addressing challenges in areas such as autonomous systems, biomedical devices, wireless communication, and intelligent sensing. By integrating advanced algorithms with real-world implementation, the lab aims to develop innovative solutions that push the boundaries of technology:
Our long-term vision is to bridge the gap between methodological innovation and practical impact, creating AI tools that are scalable, generalizable, interpretable, and trustworthy. By tackling the core challenges of data quality, adaptability, integration, and transparency, our research aims to contribute to the development of next-generation AI systems with broad relevance in science, medicine, and industry.
Our Lab is collaborating with hi-tech industry for many years. Many undergraduate projects are performed for and with the support of the high-tech industry in Israel.
Our recent collaborating companies: Intel Israel, Tel-Aviv University, Science Arts Ministry
