Two Awards to Attend MICCAI 2026 in Strasbourg
We are delighted to share that two members of our group have received awards supporting their participation in MICCAI 2026, the 29th International Conference on Medical Image Computing and Computer Assisted Intervention, taking place from September 27 to October 1, 2026, in Strasbourg, France.
David has been selected to receive the 2026 MICCAI Society Registration Grant, awarded by the MICCAI Society through its Registration and Travel Grants program. The grant is awarded to students and early-career scientists who are authors of an accepted MICCAI 2026 paper and covers the in-person main conference registration, both days of satellite event registrations, and one year of MICCAI Society membership. The MICCAI Society awards approximately 25 Registration Grants per year across the whole community.
Adea has been awarded funding under the University of Bonn’s Participation in International Conferences program for doctoral researchers, administered by the Bonn Graduate Center. The award covers travel, accommodation, and conference participation fees for doctoral students actively presenting their work at an international conference.
Both awards will be used to attend MICCAI 2026 in Strasbourg, where they will present our accepted paper “PromptGate: Client-Adaptive Vision–Language Gating for Open-Set Federated Active Learning”. MICCAI 2026 received a record number of submissions this year: 1,166 papers were accepted, corresponding to an acceptance rate of around 26%.
We thank the MICCAI Society and the University of Bonn for their support, and we look forward to presenting our work and meeting the community in Strasbourg.
David D. Gaviria
PhD Candidate
David is currently a PhD candidate supervised by Prof. Dr. Shadi Albarqouni. He earned his master’s degree in AI from FIB, which is a joint program of UPC, UB, and URV. In 2019, he achieved the top spot in the SIIM-ISIC competition for skin lesion classification and has published his work at VISAPP 2023. David has a keen interest in utilizing technology for the betterment of society and intends to make contributions to AI in the field of medicine through his work at Albarqouni Lab.
Adea Nesturi
PhD Candidate
Adea is currently a PhD candidate under the supervision of Prof. Dr. Shadi Albarqouni. She earned her master’s degree in Health Data Science from the University of St Andrews, Scotland, in 2024, where her research focused on the application of deep learning techniques for cancer detection. During her master’s program, she also contributed to the BraTS 2021 challenge, working on the segmentation of brain tumors (gliomas), which provided her with valuable experience in medical image analysis and collaborative research in international competitions.Adea’s research interests are centered on harnessing the power of deep learning to solve real-world medical challenges. She is particularly passionate about developing innovative technologies and AI-driven solutions that can directly improve patient care, enhance diagnostic accuracy, and optimize healthcare outcomes. Through her work at the Albarqouni Lab, she aims to bridge the gap between cutting-edge computational methods and practical applications in clinical settings, advancing the field of medical AI while addressing critical healthcare needs.
