{"id":12137,"date":"2025-10-10T13:39:24","date_gmt":"2025-10-10T11:39:24","guid":{"rendered":"https:\/\/vicorob.udg.edu\/?p=12137"},"modified":"2025-10-10T14:06:26","modified_gmt":"2025-10-10T12:06:26","slug":"strong-vicorob-presence-at-miccai-2025","status":"publish","type":"post","link":"https:\/\/vicorob.udg.edu\/ca\/strong-vicorob-presence-at-miccai-2025\/","title":{"rendered":"Strong ViCOROB presence at MICCAI 2025"},"content":{"rendered":"

The 28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2025)<\/a> took place from September 23 to 27 in Daejeon, South Korea, bringing together the global community of experts in medical imaging and computer-assisted technologies. This year, ViCOROB researchers had an exceptional presence at the event, participating in a wide range of activities from scientific presentations and workshops to international challenges and earning several distinctions that reflect the group\u2019s growing impact in the field.<\/span><\/p>\n

Among the most remarkable results were those achieved in the MICCAI challenges<\/strong>, where ViCOROB teams once again demonstrated their expertise in image segmentation and AI-based analysis. In the Brain Tumor Segmentation challenge<\/strong> (BraTS)<\/strong>, Valeriia Abramova obtained first place in the tumor segmentation task, while Agustin Cartaya achieved second place in the synthesis category. Micaela Rivas and Clara Lisazo also stood out by winning first place in the Eye Vessel Segmentation (GAVE) challenge,<\/strong> and Hasna R. Hamadache earned third place in the AIMS-TBI competition<\/strong> focused on traumatic brain injury segmentation. In the MAMA MIA challenge<\/strong>, dedicated to breast tumor segmentation, Hadeel Awwad achieved a third-place result, and Cansu Yalcin took part in the highly competitive MBH-Seg25 challenge<\/strong> on brain hemorrhage segmentation and classification. Each of these achievements highlights how ViCOROB researchers apply advanced AI techniques to a wide variety of medical imaging problems, from brain and to breast tumor detection.<\/p>\n

The conference was also a platform to share ongoing research projects and promote scientific dialogue. Uma Lal-Trehan represented the group in the dynamic \u201cThesis Madness\u201d session<\/strong> with a concise three-minute oral presentation summarising her latest findings, while Ricardo Montoya del Angel contributed to the Deep-Brea3th 2025 workshop<\/strong> with an oral presentation exploring deep learning techniques for respiratory imaging.<\/p>\n

\"\"<\/p>\n

Recognition also came from the organizational side of the conference: Mariano Cabezas received the Outstanding Area Chair Award, which included a paid registration, for his contribution to the scientific review process.<\/strong> In addition, he was part of the Best Paper Awards Committee, a select group of seven experts responsible for evaluating the top 25 papers presented at MICCAI.<\/p>\n

 <\/p>\n

This year\u2019s edition also showcased the strong academic presence of the MAIA Erasmus Mundus master\u2019s programme<\/strong>, coordinated by ViCOROB, with 27 students presenting their research during the conference. Their participation reinforces the group\u2019s commitment to high-level training and the transfer of knowledge to the next generation of scientists.<\/p>\n

\"MAIA<\/p>\n","protected":false},"excerpt":{"rendered":"

The 28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2025) took place from September 23 to 27 in Daejeon, South Korea, bringing together the global community of experts in medical imaging and computer-assisted technologies. 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