XAI Summer School 2024 brought together experts and enthusiasts not only from our faculty
From September 2 to 6, 2024, the Faculty of Informatics and the Institute of Computer Science at Masaryk University in Brno hosted a successful summer school focused on Explainable Artificial Intelligence (XAI) in digital pathology.
Organized by members of the BioMedAI project, the event attracted nearly 40 participants eager to explore the applications of AI in medicine. Among the participants were also students from our faculty.
Find out more in the official press release:
Petr Holub from Masaryk University, one of the main organizers of the summer school and Project Lead of the BioMedAI project, shared his assessment of the event: "The atmosphere was incredibly positive, with students showing great enthusiasm and actively participating in all sessions. We managed to create a collaborative environment where participants could openly share their experiences and knowledge. The summer school's greatest achievement was providing practical skills in using XAI tools in digital pathology, which is crucial for many of the attendees’ research. The hands-on workshops, where participants could apply new methods and tools to real-world data, were particularly well-received and sparked the most interest."
Throughout the week, attendees engaged in lectures and hands-on exercises led by experts in the field, including Norman Zerbe from Charité, Heimo Müller from the Medical University of Graz, Aray Karjauv from Technical University Berlin, Tomáš Brázdil, Petr Holub and Vít Musil from Masaryk University, and Rudolf Nenutil from the Masaryk Memorial Cancer Institute. An online lecture on the state of the art of XAI in digital pathology was presented by David Steiner from Google. The program covered a wide range of topics, from the basics of pathology to advanced AI research, data management, and practical training using tools like RatioPath and RatioViz.
Aleksandra Zec, a PhD student from Politecnico di Milano who is working with digital pathology data in her research, shared her positive experience: "I had a great time in Brno, especially since I am working with digital pathology data in my PhD research. Even though I’m quite familiar with the topic, I found the sessions to be both useful and comprehensive. The hands-on exercises and lectures by leading experts provided valuable insights into the applications of AI in digital pathology, which will definitely benefit my ongoing research."
The summer school provided participants with valuable practical experience and a deep understanding of the latest technologies in XAI. The event fostered a collaborative learning environment, inspiring attendees to actively engage with the future of medical innovation and contribute to the advancement of AI in medicine.
*BioMedAI Twinning project
The BioMedAI Twinning project focuses on developing explainable and trustworthy AI solutions, training researchers in computer science and clinical experts, and organizing workshops and summer schools on explainable AI and the management of sensitive medical data. It responds to the growing demand for sophisticated clinical diagnostics and semi-automatic systems that can accelerate the diagnostic process. The project consortium consists of Masaryk University, the Masaryk Memorial Cancer Institute, the Medical University of Graz, and the Technical University of Berlin.
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