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The INSPIRATION team at the international conferences AiMH' 2026 and ASPAI' 2026 

As part of the INSPIRATION project, led by Assistant Professor Filip Šuligoj, researchers and doctoral students from CRTA, together with Assistant Professor Filip Šuligoj, participated in two international conferences in Palma de Mallorca, Spain.

The conferences AiMH' 2026 - 2nd International Conference on AI in Medicine and Healthcare and ASPAI' 2026 - 8th International Conference on Advances in Signal Processing & Artificial Intelligence brought together researchers and experts in the fields of artificial intelligence, signal processing, computer vision, health technology and engineering applications of artificial intelligence. Participation in these conferences enabled the presentation of research activities developed within the INSPIRATION project and the exchange of knowledge with the international scientific community.

At the AiMH' 2026 conference, focused on the application of artificial intelligence in medicine and healthcare, papers related to medical robotics, computer vision and multimodal registration were presented. PhD student and junior researcher Ines Frajtag presented a paper entitled Stereo-Vision Localization of Millimeter-Scale Capsule Targets in a Clinically Inspired Maze: A Repeatability Study. The paper deals with the localization of millimeter objects using a stereovision system in an experimental environment inspired by clinical conditions, with special emphasis on the analysis of the reproducibility of the obtained results. Asst. dr. Sc. Filip Šuligoj presented the paper A Pilot Study on Facial Landmark Detection on CT and MR Head Projections for Initial Multimodal Registration. The paper deals with the detection of characteristic facial points on CT and MR projections of the head as an initial step in multimodal registration.

At the ASPAI' 2026 conference, which deals with advanced methods of signal processing, artificial intelligence and their engineering applications, works from the field of point cloud registration and surface reconstruction from medical image data were presented. Doctoral student and junior researcher Roč Stilinović presented the paper Effect of Surface Curvature on CT-to-RGB-D Point Cloud Registration Using Super4PCS and ICP Variants, aimed at analyzing the influence of surface curvature on CT and RGB-D point cloud registration using Super4PCS methods and different variants of the ICP algorithm. Doctoral student and junior researcher Jurica Cvetić presented the paper CT Surface Reconstruction Accuracy Under Varying HU Thresholds, in which the influence of different Hounsfield threshold values ​​on the accuracy of surface reconstruction from CT data was analyzed. This topic is important for the reliable creation of 3D models of anatomical structures, which is an important step in medical image analysis and procedure planning.

The project is funded by the European Union - NextGenerationEU.


The project was co-financed by the European Union from the European Regional Development Fund
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