Ignacio Arganda
UPV/EHU, Spain
Bio: Ignacio Arganda-Carreras Ph.D. (ResearcherID: L-4605-2014, ORCID: 0000-0003-0229-5722) (M) is an Ikerbasque Research Associate at the department of Computer Science and Artificial Intelligence of the UPV/EHU, also associated with the Donostia International Physics Center (DIPC). He is one of the founders of Fiji, one of the most popular open source image processing packages in the world, and widely used by the bio-image analysis community. His lab is focused on image processing and machine learning, especially to develop open source computer vision methods for biomedical images.
BiaPy: Bioimage Analysis workflows for all audiences
Abstract: BiaPy stands as a versatile and open-source bioimage analysis library designed to meet the diverse needs of users and developers in the field of computational neuroscience. With an intuitive interface, zero-code notebooks, and Docker integration, BiaPy offers accessibility across a wide spectrum of technical expertise. This presentation will delve into the core functionalities of BiaPy, highlighting its capacity to address bioimage analysis challenges at different scales. From beginners to experts, BiaPy provides customizable solutions for a range of tasks, including semantic segmentation, instance segmentation, object detection, and more. Through its robust support for multi-GPU configurations and compatibility with large datasets, BiaPy aims to democratize the use of sophisticated bioimage analysis workflows. Join us to explore how BiaPy empowers researchers to harness the power of deep learning and advanced computational methods in their work, facilitating breakthroughs in computational biology.